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Henriksen MV, Arlé E, Pili A, Clarke DA, García-Berthou E, Groom Q, Lenzner B, Meyer C, Seebens H, Tingley R, Winter M, McGeoch MA. Global indicators of the environmental impacts of invasive alien species and their information adequacy. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230323. [PMID: 38583467 PMCID: PMC10999262 DOI: 10.1098/rstb.2023.0323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 12/18/2023] [Indexed: 04/09/2024] Open
Abstract
Monitoring the extent to which invasive alien species (IAS) negatively impact the environment is crucial for understanding and mitigating biological invasions. Indeed, such information is vital for achieving Target 6 of the Kunming-Montreal Global Biodiversity Framework. However, to-date indicators for tracking the environmental impacts of IAS have been either lacking or insufficient. Capitalizing on advances in data availability and impact assessment protocols, we developed environmental impact indicators to track realized and potential impacts of IAS. We also developed an information status indicator to assess the adequacy of the data underlying the impact indicators. We used data on 75 naturalized amphibians from 82 countries to demonstrate the indicators at a global scale. The information status indicator shows variation in the reliability of the data and highlights areas where absence of impact should be interpreted with caution. Impact indicators show that growth in potential impacts are dominated by predatory species, while potential impacts from both predation and disease transmission are distributed worldwide. Using open access data, the indicators are reproducible and adaptable across scales and taxa and can be used to assess global trends and distributions of IAS, assisting authorities in prioritizing control efforts and identifying areas at risk of future invasions. This article is part of the theme issue 'Ecological novelty and planetary stewardship: biodiversity dynamics in a transforming biosphere'.
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Affiliation(s)
- Marie V. Henriksen
- Department of Landscape and Biodiversity, Norwegian Institute of Bioeconomy Research, Trondheim 7031, Norway
| | - Eduardo Arlé
- Macroecology & Society, German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
- School of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997712, Israel
| | - Arman Pili
- School of Biological Sciences, Monash University, Clayton 3800, Victoria, Australia
| | - David A. Clarke
- Securing Antarctica's Environmental Future, School of Biological Sciences, Monash University, Clayton 3800, Victoria, Australia
| | | | | | - Bernd Lenzner
- Division of BioInvasions, Global Change & Macroecology, Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria
| | - Carsten Meyer
- Macroecology & Society, German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
- Institute of Geosciences and Geography, Martin Luther University Halle-Wittenberg, 06099 Halle, Germany
- Institute of Biology, Leipzig University, 04103 Leipzig, Germany
| | - Hanno Seebens
- Senckenberg Biodiversity and Climate Research Centre, Senckenberganlage 25, Frankfurt 6325, Germany
| | - Reid Tingley
- School of Biological Sciences, Monash University, Clayton 3800, Victoria, Australia
- EnviroDNA Pty Ltd, 95 Albert Street, Brunswick, Victoria 3056, Australia
| | - Marten Winter
- sDiv, Synthesis Centre, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Melodie A. McGeoch
- Securing Antarctica's Environmental Future, School of Biological Sciences, Monash University, Clayton 3800, Victoria, Australia
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Febvre C, Goldblatt C, El-Sabaawi R. Thermal performance of ecosystems: Modeling how physiological responses to temperature scale up in communities. J Theor Biol 2024; 585:111792. [PMID: 38513968 DOI: 10.1016/j.jtbi.2024.111792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/20/2024] [Accepted: 03/10/2024] [Indexed: 03/23/2024]
Abstract
Understanding how ecosystems respond to their environmental temperature is a major challenge. Thermodynamic constraints on species' metabolic rates are expected to affect ecosystem characteristics, but species interactions and interspecific variation in physiological thermal response curves (TRC) may obscure ecosystem-level responses to temperature. As a result, macroecological patterns related to temperature are still poorly understood. We investigate how physiological TRC scale up to ecosystem-level thermal responses by modifying the Tangled Nature (TaNa) model, a stochastic network model of ecology and evolution. We include new parameterizations that make reproduction, death, and mutation temperature-dependent. We find that ecosystem survival probability depends on how the minimum fitness required for species survival varies with temperature. The thermal response of ecosystem survival probability is the only ecosystem property that is sensitive to interspecific variation in TRC. Species richness scales up directly from the TRC of mutation rate, and average species population sizes are inversely related to mutation rate, with Species Abundance Distributions (SADs) exhibiting more rare species in warmer temperatures. Interactions between species are also inversely related to mutation, with positive interactions occurring more frequently in colder temperatures. The abundance of surviving ecosystems is not sensitive to temperature. This work helps clarify the specific relationships between physiological responses to temperature and ecosystem-level repercussions when species are interacting and adapting to their thermal environments.
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Affiliation(s)
- Camille Febvre
- School of Earth & Ocean Sciences, University of Victoria, 3600 Finnerty Road, Victoria, BC, Canada; Department of Biology, University of Victoria, 3600 Finnerty Road, Victoria, BC, Canada.
| | - Colin Goldblatt
- School of Earth & Ocean Sciences, University of Victoria, 3600 Finnerty Road, Victoria, BC, Canada
| | - Rana El-Sabaawi
- Department of Biology, University of Victoria, 3600 Finnerty Road, Victoria, BC, Canada
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3
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Silliman BR, Hensel MJS, Gibert JP, Daleo P, Smith CS, Wieczynski DJ, Angelini C, Paxton AB, Adler AM, Zhang YS, Altieri AH, Palmer TM, Jones HP, Gittman RK, Griffin JN, O'Connor MI, van de Koppel J, Poulsen JR, Rietkerk M, He Q, Bertness MD, van der Heide T, Valdez SR. Harnessing ecological theory to enhance ecosystem restoration. Curr Biol 2024; 34:R418-R434. [PMID: 38714175 DOI: 10.1016/j.cub.2024.03.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2024]
Abstract
Ecosystem restoration can increase the health and resilience of nature and humanity. As a result, the international community is championing habitat restoration as a primary solution to address the dual climate and biodiversity crises. Yet most ecosystem restoration efforts to date have underperformed, failed, or been burdened by high costs that prevent upscaling. To become a primary, scalable conservation strategy, restoration efficiency and success must increase dramatically. Here, we outline how integrating ten foundational ecological theories that have not previously received much attention - from hierarchical facilitation to macroecology - into ecosystem restoration planning and management can markedly enhance restoration success. We propose a simple, systematic approach to determining which theories best align with restoration goals and are most likely to bolster their success. Armed with a century of advances in ecological theory, restoration practitioners will be better positioned to more cost-efficiently and effectively rebuild the world's ecosystems and support the resilience of our natural resources.
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Affiliation(s)
- Brian R Silliman
- Nicholas School of the Environment, Duke University, 135 Duke Marine Lab Road, Beaufort, NC 28516, USA.
| | - Marc J S Hensel
- Biological Sciences Department, Virginia Institute of Marine Science, Gloucester Point, VA 23062, USA; Nature Coast Biological Station, Institute of Food and Agricultural Sciences, University of Florida, Cedar Key, FL 32625, USA
| | - Jean P Gibert
- Department of Biology, Duke University, Durham, NC, USA
| | - Pedro Daleo
- Instituto de Investigaciones Marinas y Costeras (IIMyC), FCEyN, UNMdP-CONICET, CC 1260 Correo Central, B7600WAG, Mar del Plata, Argentina
| | - Carter S Smith
- Nicholas School of the Environment, Duke University, 135 Duke Marine Lab Road, Beaufort, NC 28516, USA
| | | | - Christine Angelini
- Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611, USA
| | - Avery B Paxton
- National Centers for Coastal Ocean Science, National Ocean Service, National Oceanic and Atmospheric Administration, 101 Pivers Island Road, Beaufort, NC 28516, USA
| | - Alyssa M Adler
- Nicholas School of the Environment, Duke University, 135 Duke Marine Lab Road, Beaufort, NC 28516, USA
| | - Y Stacy Zhang
- Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA
| | - Andrew H Altieri
- Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611, USA
| | - Todd M Palmer
- Department of Biology, University of Florida, Gainesville, FL 32611, USA
| | - Holly P Jones
- Department of Biological Sciences and Institute for the Study of the Environment, Sustainability, and Energy, Northern Illinois University, DeKalb, IL 60115, USA
| | - Rachel K Gittman
- Department of Biology and Coastal Studies Institute, East Carolina University, Greenville, NC, USA
| | - John N Griffin
- Department of Biosciences, Swansea University, Swansea SA2 8PP, Wales, UK
| | - Mary I O'Connor
- Department of Zoology and Biodiversity Research Centre, The University of British Columbia, Vancouver, BC V6R 1W4, Canada
| | - Johan van de Koppel
- Department of Estuarine and Delta Systems, NIOZ Royal Netherlands Institute for Sea Research, Yerseke, The Netherlands; Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - John R Poulsen
- The Nature Conservancy, 2424 Spruce Street, Boulder, CO 80302, USA; Nicholas School of the Environment, Duke University, PO Box 90328, Durham, NC 27708, USA
| | - Max Rietkerk
- Department Environmental Sciences, Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands
| | - Qiang He
- Coastal Ecology Lab, MOE Key Laboratory for Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Mark D Bertness
- Department of Ecology and Evolutionary Biology, Brown University, 90 Witman Street, Providence, RI, USA
| | - Tjisse van der Heide
- Department of Coastal Systems, Royal Netherlands Institute for Sea Research (NIOZ), Den Burg, The Netherlands; Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Stephanie R Valdez
- Nicholas School of the Environment, Duke University, 135 Duke Marine Lab Road, Beaufort, NC 28516, USA
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Laine AL, Tylianakis JM. The coevolutionary consequences of biodiversity change. Trends Ecol Evol 2024:S0169-5347(24)00084-3. [PMID: 38705768 DOI: 10.1016/j.tree.2024.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 04/03/2024] [Accepted: 04/05/2024] [Indexed: 05/07/2024]
Abstract
Coevolutionary selection is a powerful process shaping species interactions and biodiversity. Anthropogenic global environmental change is reshaping planetary biodiversity, including by altering the structure and intensity of interspecific interactions. However, remarkably little is understood of how coevolutionary selection is changing in the process. Here, we outline three interrelated pathways - change in evolutionary potential, change in community composition, and shifts in interaction trait distributions - that are expected to redirect coevolutionary selection under biodiversity change. Assessing how both ecological and evolutionary rules governing species interactions are disrupted under anthropogenic global change is of paramount importance to understand the past, present, and future of Earth's biodiversity.
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Affiliation(s)
- Anna-Liisa Laine
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, Viikinkaari 1 (PO Box 65), University of Helsinki, FI-00014 Helsinki, Finland.
| | - Jason M Tylianakis
- Bioprotection Aotearoa, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
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5
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Clark AJ, Atkinson SR, Scarponi V, Cane T, Geraldi NR, Hendy IW, Shipway JR, Peck M. Cost-effort analysis of Baited Remote Underwater Video (BRUV) and environmental DNA (eDNA) in monitoring marine ecological communities. PeerJ 2024; 12:e17091. [PMID: 38708339 PMCID: PMC11067900 DOI: 10.7717/peerj.17091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 02/20/2024] [Indexed: 05/07/2024] Open
Abstract
Monitoring the diversity and distribution of species in an ecosystem is essential to assess the success of restoration strategies. Implementing biomonitoring methods, which provide a comprehensive assessment of species diversity and mitigate biases in data collection, holds significant importance in biodiversity research. Additionally, ensuring that these methods are cost-efficient and require minimal effort is crucial for effective environmental monitoring. In this study we compare the efficiency of species detection, the cost and the effort of two non-destructive sampling techniques: Baited Remote Underwater Video (BRUV) and environmental DNA (eDNA) metabarcoding to survey marine vertebrate species. Comparisons were conducted along the Sussex coast upon the introduction of the Nearshore Trawling Byelaw. This Byelaw aims to boost the recovery of the dense kelp beds and the associated biodiversity that existed in the 1980s. We show that overall BRUV surveys are more affordable than eDNA, however, eDNA detects almost three times as many species as BRUV. eDNA and BRUV surveys are comparable in terms of effort required for each method, unless eDNA analysis is carried out externally, in which case eDNA requires less effort for the lead researchers. Furthermore, we show that increased eDNA replication yields more informative results on community structure. We found that using both methods in conjunction provides a more complete view of biodiversity, with BRUV data supplementing eDNA monitoring by recording species missed by eDNA and by providing additional environmental and life history metrics. The results from this study will serve as a baseline of the marine vertebrate community in Sussex Bay allowing future biodiversity monitoring research projects to understand community structure as the ecosystem recovers following the removal of trawling fishing pressure. Although this study was regional, the findings presented herein have relevance to marine biodiversity and conservation monitoring programs around the globe.
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Affiliation(s)
- Alice J. Clark
- Department of Ecology & Evolution, School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | - Sophie R. Atkinson
- Department of Ecology & Evolution, School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | - Valentina Scarponi
- Department of Ecology & Evolution, School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | - Tim Cane
- Department of Geography, University of Sussex, Brighton, United Kingdom
| | | | - Ian W. Hendy
- School of Biological Science, University of Portsmouth, Portsmouth, United Kingdom
| | - J. Reuben Shipway
- School of Biological and Marine Sciences, University of Plymouth, Plymouth, United Kingdom
| | - Mika Peck
- Department of Ecology & Evolution, School of Life Sciences, University of Sussex, Brighton, United Kingdom
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6
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Arya AK, Bachheti A, Sethi VK, Joshi KK. Birds and environment: a multidisciplinary approach to ecological, behavioural and conservation issues. BMC ZOOL 2024; 9:7. [PMID: 38679742 PMCID: PMC11056042 DOI: 10.1186/s40850-024-00199-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 04/15/2024] [Indexed: 05/01/2024] Open
Abstract
Birds perform significant ecosystem services in the environment. Nevertheless, they have been facing threats to their survival globally. This special collection assembles diverse articles on various aspects of birds' life, their interactions with the environment, their adaptations, and threats they have been facing along with conservation measures.
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Affiliation(s)
- Ashish Kumar Arya
- Department of Environmental Science, Graphic Era (Deemed to be University), Dehradun, 248002, Uttarakhand, India.
| | - Archana Bachheti
- Department of Environmental Science, Graphic Era (Deemed to be University), Dehradun, 248002, Uttarakhand, India
| | | | - Kamal Kant Joshi
- Department of Environmental Science, Graphic Era Hill University, Dehradun, 248002, Uttarakhand, India
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7
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Fritsch C, Berny P, Crouzet O, Le Perchec S, Coeurdassier M. Wildlife ecotoxicology of plant protection products: knowns and unknowns about the impacts of currently used pesticides on terrestrial vertebrate biodiversity. Environ Sci Pollut Res Int 2024:10.1007/s11356-024-33026-1. [PMID: 38639904 DOI: 10.1007/s11356-024-33026-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 03/17/2024] [Indexed: 04/20/2024]
Abstract
Agricultural practices are a major cause of the current loss of biodiversity. Among postwar agricultural intensification practices, the use of plant protection products (PPPs) might be one of the prominent drivers of the loss of wildlife diversity in agroecosystems. A collective scientific assessment was performed upon the request of the French Ministries responsible for the Environment, for Agriculture and for Research to review the impacts of PPPs on biodiversity and ecosystem services based on the scientific literature. While the effects of legacy banned PPPs on ecosystems and the underlying mechanisms are well documented, the impacts of current use pesticides (CUPs) on biodiversity have rarely been reviewed. Here, we provide an overview of the available knowledge related to the impacts of PPPs, including biopesticides, on terrestrial vertebrates (i.e. herptiles, birds including raptors, bats and small and large mammals). We focused essentially on CUPs and on endpoints at the subindividual, individual, population and community levels, which ultimately linked with effects on biodiversity. We address both direct toxic effects and indirect effects related to ecological processes and review the existing knowledge about wildlife exposure to PPPs. The effects of PPPs on ecological functions and ecosystem services are discussed, as are the aggravating or mitigating factors. Finally, a synthesis of knowns and unknowns is provided, and we identify priorities to fill gaps in knowledge and perspectives for research and wildlife conservation.
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Affiliation(s)
- Clémentine Fritsch
- Laboratoire Chrono-Environnement, UMR 6249 CNRS/Université de Franche-Comté, 16 Route de Gray, F-25000, Besançon, France
| | - Philippe Berny
- UR-ICE, Vetagro Sup, Campus Vétérinaire, 69280, Marcy L'étoile, France
| | - Olivier Crouzet
- Direction de La Recherche Et de L'Appui Scientifique, Office Français de La Biodiversité, Site de St-Benoist, 78610, Auffargis, France
| | | | - Michael Coeurdassier
- Laboratoire Chrono-Environnement, UMR 6249 CNRS/Université de Franche-Comté, 16 Route de Gray, F-25000, Besançon, France.
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Bao S, Cui W, Yang F. Future land use prediction and optimization strategy of Zhejiang Greater Bay Area coupled with ecological security multi-scenario pattern. PLoS One 2024; 19:e0291570. [PMID: 38635581 PMCID: PMC11025748 DOI: 10.1371/journal.pone.0291570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 03/23/2024] [Indexed: 04/20/2024] Open
Abstract
The land use changes driven by human activities press a incredible menace to zonal ecological security. As the most active urban cluster, the uncontrolled expansion of cities in the bay area exerts enormous pressure on the ecosystem. Therefore, from the perspective of ecological conservation, exploring future land use optimization patterns and spatial structure is extremely essential for the long-term thriving of the bay area. On this basis, this research integrated the System Dynamics model (SD) as the quantity forecast model and the PLUS model as the spatial emulation model and established the Land Use/Cover Change (LUCC) Simulation Framework by setting the constraints of Ecological Security Multi-Scenario Patterns (ESMP). By setting four scenarios in future, that is, Business As Usual (BAU), Priority of Ecological Protection (PEP), Balanced Development Scenario (BD), and Priority of Urban development (PUD), this research predicts LUCC in the Zhejiang Greater Bay Area (ZGBA) in 2035 and explored land use optimization patterns. The results indicate that by 2035, under the scenarios of BAU, BD, and PUD, the construction land will observably grow by 38.86%, 19.63%, and 83.90%, respectively, distributed mainly around the Hangzhou Bay Area, Taizhou Bay Area, and Wenzhou Bay Area, primarily achieved by sacrificing ecologically sensitive lands such as forests to achieve regional high economic growth. Under PEP, the growth of construction land retards, and forest experiences net growth (11.27%), with better landscape connectivity and more cohesive patches compared to other scenarios. Combining regional planning and analysis at the city scale, Hangzhou Bay area (Hangzhou, Huzhou, Jiaxing, Shaoxing, Ningbo) can adopt the BD development scenario, while Zhoushan, Taizhou, Wenzhou and Fuyang County of Hangzhou can adopt the PEP development scenario. This research furnishes a novel mechanism for optimizing land use pattern in ecological security perspective and offers scientific guidance for land resource management and spatial planning in ZGBA.
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Affiliation(s)
- Shengwang Bao
- School of Economics and Management, Zhejiang Ocean University, Zhoushan, China
| | - Wanglai Cui
- School of Economics and Management, Zhejiang Ocean University, Zhoushan, China
| | - Fan Yang
- School of Economics and Management, Zhejiang Ocean University, Zhoushan, China
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9
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Ahern A, Hughes DF. Citizen science initiatives document biodiversity baselines at an urban lake. PeerJ 2024; 12:e17209. [PMID: 38646485 PMCID: PMC11032101 DOI: 10.7717/peerj.17209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 03/18/2024] [Indexed: 04/23/2024] Open
Abstract
Changes to biodiversity from urbanization are occurring worldwide, and baseline data is vital to document the magnitude and direction of these alterations. We set out to document the biodiversity of an urban lake in Eastern Iowa that was devoid of baseline data prior to a renovation project that will convert the site into a major area for human recreation. Throughout the course of one year, we studied the biodiversity at Cedar Lake utilizing the citizen-science application iNaturalist coupled with semi-structured BioBlitz events, which we compared to previous opportunistic observations at the site. From a semi-structured approach to document biodiversity with citizen science, our analyses revealed more diverse community metrics over a shorter period compared to more than a decade of prior observations.
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Affiliation(s)
- Alyssah Ahern
- Department of Biology, Coe College, Cedar Rapids, IA, United States of America
| | - Daniel F. Hughes
- Department of Biology, Coe College, Cedar Rapids, IA, United States of America
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Gallardo B, Bacher S, Barbosa AM, Gallien L, González-Moreno P, Martínez-Bolea V, Sorte C, Vimercati G, Vilà M. Risks posed by invasive species to the provision of ecosystem services in Europe. Nat Commun 2024; 15:2631. [PMID: 38600085 PMCID: PMC11006939 DOI: 10.1038/s41467-024-46818-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 03/12/2024] [Indexed: 04/12/2024] Open
Abstract
Invasive species significantly impact biodiversity and ecosystem services, yet understanding these effects at large spatial scales remains a challenge. Our study addresses this gap by assessing the current and potential future risks posed by 94 invasive species to seven key ecosystem services in Europe. We demonstrate widespread potential impacts, particularly on outdoor recreation, habitat maintenance, crop provisioning, and soil and nitrogen retention. Exposure to invasive species was higher in areas with lower provision of ecosystem services, particularly for regulating and cultural services. Exposure was also high in areas where ecosystem contributions to crop provision and nitrogen retention were at their highest. Notably, regions vital for ecosystem services currently have low invasion suitability, but face an average 77% increase in potential invasion area. Here we show that, while high-value ecosystem service areas at the highest risk represent a small fraction of Europe (0-13%), they are disproportionally important for service conservation. Our study underscores the importance of monitoring and protecting these hotspots to align management strategies with international biodiversity targets, considering both invasion vulnerability and ecosystem service sustainability.
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Affiliation(s)
- Belinda Gallardo
- Instituto Pirenaico de Ecología (IPE), CSIC, Avda. Montañana 1005, 50192, Zaragoza, Spain.
- Biosecurity Initiative at St. Catherine's (BioRISC), Cambridge, UK.
| | - Sven Bacher
- Department of Biology, Unit Ecology & Evolution, University of Fribourg, Chemin du Musée 15, 1700, Fribourg, Switzerland
| | - Ana Marcia Barbosa
- Centro de Investigação em Ciências Geo-Espaciais (CICGE), Faculdade de Ciências da Universidade do Porto, Porto, Portugal
| | - Laure Gallien
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Pablo González-Moreno
- Department of Forest Engineering, University of Cordoba, Campus de Rabanales, Crta. IV, km. 396, 14071, Córdoba, Spain
| | - Víctor Martínez-Bolea
- Instituto Pirenaico de Ecología (IPE), CSIC, Avda. Montañana 1005, 50192, Zaragoza, Spain
| | - Cascade Sorte
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA
| | - Giovanni Vimercati
- Department of Biology, Unit Ecology & Evolution, University of Fribourg, Chemin du Musée 15, 1700, Fribourg, Switzerland
| | - Montserrat Vilà
- Estación Biológica de Doñana (EBD), CSIC, Avda. Américo Vespucio 26, 41092, Sevilla, Spain
- Department of Plant Biology and Ecology, University of Sevilla, 41012, Sevilla, Spain
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11
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Thibodeau AJ, Barret M, Mouchet F, Nguyen VX, Pinelli E. The potential contribution of aquatic wildlife to antibiotic resistance dissemination in freshwater ecosystems: A review. Environ Pollut 2024; 350:123894. [PMID: 38599270 DOI: 10.1016/j.envpol.2024.123894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/12/2024]
Abstract
Antibiotic resistance (AR) is one of the major health threats of our time. The presence of antibiotics in the environment and their continuous release from sewage treatment plants, chemical manufacturing plants and animal husbandry, agriculture and aquaculture, result in constant selection pressure on microbial organisms. This presence leads to the emergence, mobilization, horizontal gene transfer and a selection of antibiotic resistance genes, resistant bacteria and mobile genetic elements. Under these circumstances, aquatic wildlife is impacted in all compartments, including freshwater organisms with partially impermeable microbiota. In this narrative review, recent advancements in terms of occurrence of antibiotics and antibiotic resistance genes in sewage treatment plant effluents source compared to freshwater have been examined, occurrence of antibiotic resistance in wildlife, as well as experiments on antibiotic exposure. Based on this current state of knowledge, we propose the hypothesis that freshwater aquatic wildlife may play a crucial role in the dissemination of antibiotic resistance within the environment. Specifically, we suggest that organisms with high bacterial density tissues, which are partially isolated from the external environment, such as fishes and amphibians, could potentially be reservoirs and amplifiers of antibiotic resistance in the environment, potentially favoring the increase of the abundance of antibiotic resistance genes and resistant bacteria. Potential avenues for further research (trophic transfer, innovative exposure experiment) and action (biodiversity eco-engineering) are finally proposed.
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Affiliation(s)
- Alexandre J Thibodeau
- CRBE, Centre de Recherche sur la Biodiversité et l'Environnement, UMR5300, 31326 Auzeville-Tolosane, Av. de l'Agrobiopole, France.
| | - Maialen Barret
- CRBE, Centre de Recherche sur la Biodiversité et l'Environnement, UMR5300, 31326 Auzeville-Tolosane, Av. de l'Agrobiopole, France
| | - Florence Mouchet
- CRBE, Centre de Recherche sur la Biodiversité et l'Environnement, UMR5300, 31326 Auzeville-Tolosane, Av. de l'Agrobiopole, France
| | - Van Xuan Nguyen
- CRBE, Centre de Recherche sur la Biodiversité et l'Environnement, UMR5300, 31326 Auzeville-Tolosane, Av. de l'Agrobiopole, France
| | - Eric Pinelli
- CRBE, Centre de Recherche sur la Biodiversité et l'Environnement, UMR5300, 31326 Auzeville-Tolosane, Av. de l'Agrobiopole, France
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12
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Barnas AF, Ladle A, Burgar JM, Burton AC, Boyce MS, Eliuk L, Grey F, Heim N, Paczkowski J, Stewart FEC, Tattersall E, Fisher JT. How landscape traits affect boreal mammal responses to anthropogenic disturbance. Sci Total Environ 2024; 915:169285. [PMID: 38103612 DOI: 10.1016/j.scitotenv.2023.169285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 12/04/2023] [Accepted: 12/09/2023] [Indexed: 12/19/2023]
Abstract
Understanding mammalian responses to anthropogenic disturbance is challenging, as ecological processes and the patterns arising therefrom notoriously change across spatial and temporal scales, and among different landscape contexts. Responses to local scale disturbances are likely influenced by landscape context (e.g., overall landscape-level disturbance, landscape-level productivity). Hierarchical approaches considering small-scale sampling sites as nested holons within larger-scale landscapes, which constrain processes in lower-level holons, can potentially explain differences in ecological processes between multiple locations. We tested hypotheses about mammal responses to disturbance and interactions among holons using collected images from 957 camera sites across 9 landscapes in Alberta from 2007 to 2020 and examined occurrence for 11 mammal species using generalized linear mixed models. White-tailed deer occurred more in higher disturbed sites within lower disturbed landscapes (β = -0.30 [-0.4 to -0.15]), whereas occurrence was greater in highly disturbed sites within highly disturbed landscapes for moose (β = 0.20 [0.09-0.31]), coyote (β = 0.20 [0.08-0.26]), and lynx (β = 0.20 [0.07-0.26]). High disturbance sites in high productivity landscapes had higher occurrence of black bears (β = -0.20 [-0.46 to -0.01]), lynx (β = -0.70 [-0.97 to -0.34]), and wolves (β = -0.50 [-0.73 to -0.21]). Conversely, we found higher probability of occurrence in low productivity landscapes with increasing site disturbance for mule deer (β = 0.80 [0.39-1.14]), and white-tailed deer (β = 0.20 [0.01-0.47]). We found the ecological context created by aggregate sums (high overall landscape disturbance), and by subcontinental hydrogeological processes in which that landscape is embedded (high landscape productivity), alter mammalian responses to anthropogenic disturbance at local scales. These responses also vary by species, which has implications for large-scale conservation planning. Management interventions must consider large-scale geoclimatic processes and geographic location of a landscape when assessing wildlife responses to disturbance.
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Affiliation(s)
- Andrew F Barnas
- School of Environmental Studies, University of Victoria, Victoria, Canada.
| | - Andrew Ladle
- School of Environmental Studies, University of Victoria, Victoria, Canada; Department of Biological Sciences, University of Alberta, Edmonton, Canada
| | - Joanna M Burgar
- School of Environmental Studies, University of Victoria, Victoria, Canada; Department of Forest Resources Management, University of British Columbia, Vancouver, Canada
| | - A Cole Burton
- Department of Forest Resources Management, University of British Columbia, Vancouver, Canada; Biodiversity Research Centre, University of British Columbia, Vancouver, Canada
| | - Mark S Boyce
- Department of Biological Sciences, University of Alberta, Edmonton, Canada
| | - Laura Eliuk
- School of Environmental Studies, University of Victoria, Victoria, Canada
| | - Fabian Grey
- Whitefish Lake First Nation #459, Atikameg, Alberta, Canada
| | - Nicole Heim
- School of Environmental Studies, University of Victoria, Victoria, Canada
| | - John Paczkowski
- Government of Alberta, Forests, Parks, and Tourism, Canmore, Alberta, Canada
| | - Frances E C Stewart
- School of Environmental Studies, University of Victoria, Victoria, Canada; Department of Biology, Wilfrid Laurier University, Waterloo, Ontario (Haldimand Tract), Canada
| | - Erin Tattersall
- Department of Forest Resources Management, University of British Columbia, Vancouver, Canada
| | - Jason T Fisher
- School of Environmental Studies, University of Victoria, Victoria, Canada
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13
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Finucci B, Pacoureau N, Rigby CL, Matsushiba JH, Faure-Beaulieu N, Sherman CS, VanderWright WJ, Jabado RW, Charvet P, Mejía-Falla PA, Navia AF, Derrick DH, Kyne PM, Pollom RA, Walls RHL, Herman KB, Kinattumkara B, Cotton CF, Cuevas JM, Daley RK, Dharmadi, Ebert DA, Fernando D, Fernando SMC, Francis MP, Huveneers C, Ishihara H, Kulka DW, Leslie RW, Neat F, Orlov AM, Rincon G, Sant GJ, Volvenko IV, Walker TI, Simpfendorfer CA, Dulvy NK. Fishing for oil and meat drives irreversible defaunation of deepwater sharks and rays. Science 2024; 383:1135-1141. [PMID: 38452078 DOI: 10.1126/science.ade9121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 11/02/2023] [Indexed: 03/09/2024]
Abstract
The deep ocean is the last natural biodiversity refuge from the reach of human activities. Deepwater sharks and rays are among the most sensitive marine vertebrates to overexploitation. One-third of threatened deepwater sharks are targeted, and half the species targeted for the international liver-oil trade are threatened with extinction. Steep population declines cannot be easily reversed owing to long generation lengths, low recovery potentials, and the near absence of management. Depth and spatial limits to fishing activity could improve conservation when implemented alongside catch regulations, bycatch mitigation, and international trade regulation. Deepwater sharks and rays require immediate trade and fishing regulations to prevent irreversible defaunation and promote recovery of this threatened megafauna group.
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Affiliation(s)
- Brittany Finucci
- National Institute of Water and Atmospheric Research (NIWA), Wellington, New Zealand
| | - Nathan Pacoureau
- Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - Cassandra L Rigby
- College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
| | - Jay H Matsushiba
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Nina Faure-Beaulieu
- Department of Zoology, Nelson Mandela University, Port Elizabeth, South Africa
- Wildlands Conservation Trust, Pietermaritzburg, South Africa
| | - C Samantha Sherman
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Wade J VanderWright
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Rima W Jabado
- College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- Elasmo Project, Dubai, United Arab Emirates
| | - Patricia Charvet
- Programa de Pós-Graduação em Sistemática, Uso e Conservação da Biodiversidade (PPGSis), Universidade Federal do Ceará (UFC), Fortaleza, Ceará, Brazil
| | - Paola A Mejía-Falla
- Wildlife Conservation Society, WCS Colombia, Cali, Colombia
- Fundación Colombiana para la Investigación y Conservación de Tiburones y Rayas -SQUALUS, Cali, Colombia
| | - Andrés F Navia
- Fundación Colombiana para la Investigación y Conservación de Tiburones y Rayas -SQUALUS, Cali, Colombia
| | - Danielle H Derrick
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Peter M Kyne
- Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, Northern Territory, Australia
| | - Riley A Pollom
- Species Recovery Program, Seattle Aquarium, Seattle, WA, USA
| | - Rachel H L Walls
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | | | - Bineesh Kinattumkara
- Zoological Survey of India, Marine Biology Regional Centre, Chennai, Tamil Nadu, India
| | - Charles F Cotton
- Department of Fisheries, Wildlife, and Environmental Science, State University of New York-Cobleskill, Cobleskill, NY, USA
| | - Juan-Martín Cuevas
- Wildlife Conservation Society Argentina, Buenos Aires, Argentina
- Museo de La Plata, Universidad Nacional de La Plata, La Plata, Argentina
| | - Ross K Daley
- Horizon Consultancy, Hobart, Tasmania, Australia
| | - Dharmadi
- Research Centre for Fisheries Management and Conservation, Ministry of Marine Affairs and Fisheries, Government of Indonesia, Jakarta, Indonesia
| | - David A Ebert
- Pacific Shark Research Center, Moss Landing Marine Laboratories, Moss Landing, CA, USA
- South African Institute for Aquatic Biodiversity, Grahamstown, South Africa
- Department of Ichthyology, California Academy of Sciences, San Francisco, CA, USA
| | | | | | - Malcolm P Francis
- National Institute of Water and Atmospheric Research (NIWA), Wellington, New Zealand
| | - Charlie Huveneers
- College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
| | | | - David W Kulka
- Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Robin W Leslie
- Fisheries Management Branch, Department of Forestry, Fisheries and the Environment, Cape Town, South Africa
- Department of Ichthyology and Fisheries Sciences, Rhodes University, Grahamstown, South Africa
- MA-RE Institute, University of Cape Town, Cape Town, South Africa
| | - Francis Neat
- Global Ocean Institute, World Maritime University, Malmo, Sweden
| | - Alexei M Orlov
- Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
- Department of Ichthyology and Hydrobiology, Tomsk State University, Tomsk, Russia
| | - Getulio Rincon
- Coordenação do Curso de Engenharia de Pesca, Universidade Federal do Maranhão-UFMA Campus Pinheiro, Pinheiro, Maranhão, Brazil
| | - Glenn J Sant
- TRAFFIC, University of Wollongong, New South Wales, Australia
- ANCORS, University of Wollongong, New South Wales, Australia
| | - Igor V Volvenko
- Pacific Branch of Russian Federal Research Institute of Fisheries and Oceanography (TINRO), Vladivostok, Russia
| | - Terence I Walker
- School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia
- School of Biological Sciences, Monash University, Clayton, Victoria, Australia
| | - Colin A Simpfendorfer
- College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
| | - Nicholas K Dulvy
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
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14
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Ferreira‐Airaud B, Vieira S, Branco M, Pina A, Soares V, Tiwari M, Witt M, Castilho R, Teodósio A, Hawkes LA. Green and Hawksbill Sea turtles of Eastern Atlantic: New insights into a globally important rookery in the Gulf of Guinea. Ecol Evol 2024; 14:e11133. [PMID: 38505183 PMCID: PMC10948591 DOI: 10.1002/ece3.11133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/13/2024] [Accepted: 02/27/2024] [Indexed: 03/21/2024] Open
Abstract
Sea turtles are critical components of marine ecosystems, and their conservation is important for Ocean Governance and Global Planet Health. However, there is limited knowledge of their ecology in the Gulf of Guinea. To fill this knowledge gap, this study presents the first integrative assessment of green and hawksbill turtles in the region, combining nesting surveys over 9 years and telemetry data, to offer insights into these population dynamics, and behaviours, including nesting preferences, morphological and reproductive parameters, diving patterns and inter-nesting core-use areas. Both green and hawksbill turtles are likely making a recovery on São Tomé, potentially driven by sustained conservation efforts. There are preliminary indications of recovery, but we interpret this cautiously. Coupled with satellite tracking, this study estimated that 482 to 736 green turtles and 135 to 217 hawksbills nest on the beaches of São Tomé. Their movements overlap significantly with a proposed Marine Protected Area (MPA), which suggests they may be well placed for conservation if managed appropriately. However, the presence of artisanal fisheries and emerging threats, such as sand mining and unregulated tourism, highlight the urgent need for robust management strategies that align global conservation objectives with local socioeconomic realities. This study significantly enhances our understanding of the ecology and conservation needs of the green and hawksbill turtles in the Gulf of Guinea. The insights gleaned here can contribute to the development of tailored conservation strategies that benefit these populations and the ecosystem services upon which they depend.
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Affiliation(s)
- Betânia Ferreira‐Airaud
- Centro de Ciências do Mar (CCMAR)Universidade do AlgarveFaroPortugal
- Hatherly LaboratoriesUniversity of ExeterExeterUK
- Programa TatôSão ToméSão Tomé and Príncipe
| | - Sara Vieira
- Centro de Ciências do Mar (CCMAR)Universidade do AlgarveFaroPortugal
- Programa TatôSão ToméSão Tomé and Príncipe
| | | | | | | | - Manjula Tiwari
- Ocean Ecology NetworkResearch Affiliate of NOAA Southwest Fisheries Science CenterLa JollaCaliforniaUSA
| | - Matthew Witt
- Hatherly LaboratoriesUniversity of ExeterExeterUK
| | - Rita Castilho
- Centro de Ciências do Mar (CCMAR)Universidade do AlgarveFaroPortugal
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15
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Bull JW. Life Is Uncertain: Inherent Variability Exhibited by Organisms, and at Higher Levels of Biological Organization. Astrobiology 2024; 24:318-327. [PMID: 38350125 DOI: 10.1089/ast.2023.0094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
Abstract
Organisms act stochastically. A not uncommon view in the ecological literature is that this is mainly due to the observer having insufficient information or a stochastic environment-and not partly because organisms themselves respond with inherent unpredictability. In this study, I compile the evidence that contradicts that view. Organisms generate uncertainty internally, which results in irreducible stochastic responses. I consider why: for instance, stochastic responses are associated with greater adaptability to changing environments and resource availability. Over longer timescales, biologically generated uncertainty influences behavior, evolution, and macroecological processes. Indeed, it could be stated that organisms are systems defined by the internal generation, magnification, and record-keeping of uncertainty as inputs to responses. Important practical implications arise if organisms can indeed be defined by an association with specific classes of inherent uncertainty: not least that isolating those signatures then provides a potential means for detecting life, for considering the forms that life could theoretically take, and for exploring the wider limits to how life might become distributed. These are all fundamental goals in astrobiology.
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Affiliation(s)
- Joseph W Bull
- Department of Biology, University of Oxford, Oxford, United Kingdom
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16
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Zhou Z, Liu F, Xu Y, Hu W. Genetic Diversity Analysis and Core Germplasm Construction of Rubus chingii Hu. Plants (Basel) 2024; 13:618. [PMID: 38475465 DOI: 10.3390/plants13050618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/14/2024] [Accepted: 02/17/2024] [Indexed: 03/14/2024]
Abstract
Rubus chingii Hu is the only species that is used for both edible and medicinal purposes among the 194 species of the genus Rubus in China. It is well known for its sweet and sour fresh fruits that are rich in vitamins and for its dried immature fruits that are used to treat kidney-related ailments. This study aims to evaluate genetic diversity and population structure and build a core germplasm repository of 132 R. chingii accessions from the provinces of Jiangxi and Fujian, using Hyper-seq-derived single-nucleotide polymorphism (SNP) markers. This is the first genetic study of R. chingii based on SNP molecular markers, and a total of 1,303,850 SNPs and 433,159 insertions/deletions (InDels) were identified. Low values for observed heterozygosity, nucleotide diversity (Pi) and fixation indexes (Fis) indicated low genetic diversity within populations, and an analysis of molecular variance (AMOVA) showed that 37.4% and 62.6% of the variations were found between populations and within samples, respectively. Four main clusters were identified by means of neighbor-joining (NJ) trees, the ADMIXTURE program and principal component analysis (PCA). Based on the genetic diversity, we finally constructed 38 representative core collections, representing 50% of the total core germplasm samples and 95.3% of the genotypes. In summary, the results of our study can provide valuable information on the genetic structure of R. chingii germplasm resources, which is helpful for further explorations of potential high-quality genes and for formulating future breeding and conservation strategies.
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Affiliation(s)
- Ziwei Zhou
- College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, China
- Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332900, China
| | - Fen Liu
- Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332900, China
| | - Yanqin Xu
- College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Weiming Hu
- College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, China
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17
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Anderson C, Zuckerwise A, Wallace RB, Ayala G, Viscarra M, Schmitz OJ. Small Felids Coexist in Mixed-Use Landscape in the Bolivian Amazon. Animals (Basel) 2024; 14:697. [PMID: 38473081 DOI: 10.3390/ani14050697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/18/2024] [Accepted: 02/04/2024] [Indexed: 03/14/2024] Open
Abstract
In the face of global species loss, it is paramount to understand the effects of human activity on vulnerable species, particularly in highly diverse, complex systems. The Greater Madidi Landscape in the Bolivian Amazon includes several biodiverse protected areas that were created with the goal of sustaining healthy and diverse ecosystems while not impeding the livelihoods of local indigenous peoples. In this study, we sought to use camera trap data and single-species occupancy analysis to assess the impacts of different forms of human activity on four species of small felids: ocelots (Leopardus pardalis), margays (Leopardus wiedii), jaguarundi (Herpailurus yagouaroundi), and oncilla (Leopardus tigrinus). We modeled both human variables (proximity to indigenous communities, roads, and tourist camps) and non-human variables (terrain ruggedness, proximity to rivers, canopy height, prey availability, and large cat abundance). Margay occupancy was unaffected by any of these human variables and ocelots showed only weak evidence of being affected by tourism. Ocelots were particularly pervasive throughout the study area and were consistently estimated to have high occupancy probability. We did not obtain sufficient data on jaguarundi or oncilla to reliably model these effects. Our results indicate that small cats successfully coexist both with each other and with the surrounding human activity in this unique landscape, which serves as a model for global protected area management.
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Affiliation(s)
- Courtney Anderson
- School of Environment and Natural Resources, The Ohio State University, Columbus, OH 43210, USA
| | - Amelia Zuckerwise
- School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Guido Ayala
- Wildlife Conservation Society, La Paz, Bolivia
| | | | - Oswald J Schmitz
- School of the Environment, Yale University, New Haven, CT 06511, USA
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18
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Meng L, Li Y, Chen L, Sui M, Zhang G, Liu Q, Chen D, Wu Y, Yang Z, Chen S, Yang R, Zang L. Variations in species diversity patterns and community assembly rules among vegetation types in the karst landscape. Front Plant Sci 2024; 15:1338596. [PMID: 38455729 PMCID: PMC10917898 DOI: 10.3389/fpls.2024.1338596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/07/2024] [Indexed: 03/09/2024]
Abstract
The various vegetation types in the karst landscape have been considered the results of heterogeneous habitats. However, the lack of a comprehensive understanding of regional biodiversity patterns and the underlying ecological processes limits further research on ecological management. This study established forest dynamic plots (FDPs) of the dominant vegetation types (shrubland, SL; mixed tree and shrub forest, MTSF; coniferous forest, CF; coniferous broadleaf mixed forest, CBMF; and broadleaf forest, BF) in the karst landscape and quantified the species diversity patterns and potential ecological processes. The results showed that in terms of diversity patterns, the evenness and species richness of the CF community were significantly lower than other vegetation types, while the BF community had the highest species richness. The other three vegetation types showed no significant variation in species richness and evenness. However, when controlling the number of individuals of FDPs, the rarefied species richness showed significant differences and ranked as BF > SL > MTSF > CBMF > CF, highlighting the importance of considering the impacts of abundance. Additionally, the community assembly of climax communities (CF or BF) was dominated by stochastic processes such as species dispersal or species formation, whereas deterministic processes (habitat filtering) dominated the secondary forests (SL, MTSF, and CBMF). These findings proved that community assembly differs mainly between the climax community and other communities. Hence, it is crucial to consider the biodiversity and of the potential underlying ecological processes together when studying regional ecology and management, particularly in heterogeneous ecosystems.
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Affiliation(s)
- Longchenxi Meng
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Yong Li
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Luyao Chen
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Mingzhen Sui
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
- Guizhou Libo Karst Forest Ecosystem National Observation and Research Station, National Forestry and Grassland Administration, Libo, China
| | - Guangqi Zhang
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
- Guizhou Libo Karst Forest Ecosystem National Observation and Research Station, National Forestry and Grassland Administration, Libo, China
| | - Qingfu Liu
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
- Guizhou Libo Karst Forest Ecosystem National Observation and Research Station, National Forestry and Grassland Administration, Libo, China
| | - Danmei Chen
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
- Guizhou Libo Karst Forest Ecosystem National Observation and Research Station, National Forestry and Grassland Administration, Libo, China
| | - Yuhang Wu
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Zeyu Yang
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Shiren Chen
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Rui Yang
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
| | - Lipeng Zang
- Research Center of Forest Ecology, College of Forestry, Guizhou University, Guiyang, China
- Guizhou Libo Karst Forest Ecosystem National Observation and Research Station, National Forestry and Grassland Administration, Libo, China
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19
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Estoque RC, Wu J. The resilience-sustainability-quality of life nexus. Sci Total Environ 2024; 912:169526. [PMID: 38135087 DOI: 10.1016/j.scitotenv.2023.169526] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/03/2023] [Accepted: 12/18/2023] [Indexed: 12/24/2023]
Abstract
Social-ecological resilience (SER), sustainability (SUS) and quality of life including wellbeing (QOL) are distinct but highly interconnected goals that are essential for human survival, development, and adaptation to environmental and socioeconomic changes. However, these goals are often addressed in silos or pairs, and a framework explicitly linking all three is currently lacking. In this paper, we present the SER-SUS-QOL nexus framework and discuss how social and ecological changes affect these goals. The main thrust of this nexus is that efforts toward SER and SUS need to be explicitly framed in terms of the ultimate goal, which has to be the QOL of the present and future generations. We contend that critically assessing the dynamic interplay between SER, SUS and QOL, as well as the factors impacting them, can help promote transformative governance and planning in the contemporary era. Understanding the multifaceted interrelationship between these goals is crucial to empower planners and decision-makers to navigate the complexities of our rapidly changing world and address the challenges brought by interrelated social and ecological changes. To deepen our understanding of this nexus, more research is needed on various issues, including, but not limited to, trade-offs and synergies, cascading effects, spatiotemporal dynamics of SER, SUS and QOL outcomes, potential inconsistencies between SER and transformative changes toward SUS, and the role of local/indigenous/traditional ecological knowledge in transformative governance and planning.
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Affiliation(s)
- Ronald C Estoque
- Center for Biodiversity and Climate Change, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki 305-8687, Japan.
| | - Jianguo Wu
- School of Life Sciences and School of Sustainability, Arizona State University, Tempe, AZ 85287, USA
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20
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Lu N, Yang H, Zhou X, Tan Y, Cai W, Jiang Q, Lu Y, Chen Y, He H, Wang S. The loss of plant functional groups increased arthropod diversity in an alpine meadow on the Tibetan Plateau. Front Plant Sci 2024; 15:1305768. [PMID: 38434435 PMCID: PMC10904612 DOI: 10.3389/fpls.2024.1305768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 02/02/2024] [Indexed: 03/05/2024]
Abstract
Plant species loss, driven by global changes and human activities, can have cascading effects on other trophic levels, such as arthropods, and alter the multitrophic structure of ecosystems. While the relationship between plant diversity and arthropod communities has been well-documented, few studies have explored the effects of species composition variation or plant functional groups. In this study, we conducted a long-term plant removal experiment to investigate the impact of plant functional group loss (specifically targeting tall grasses and sedges, as well as tall or short forbs) on arthropod diversity and their functional groups. Our findings revealed that the removal of plant functional groups resulted in increased arthropod richness, abundance and the exponential of Shannon entropy, contrary to the commonly observed positive correlation between plant diversity and consumer diversity. Furthermore, the removal of different plant groups had varying impacts on arthropod trophic levels. The removal of forbs had a more pronounced impact on herbivores compared to graminoids, but this impact did not consistently cascade to higher-trophic arthropods. Notably, the removal of short forbs had a more significant impact on predators, as evidenced by the increased richness, abundance, the exponential of Shannon entropy, inverse Simpson index and inverse Berger-Parker index of carnivores and abundance of omnivores, likely attributable to distinct underlying mechanisms. Our results highlight the importance of plant species identity in shaping arthropod communities in alpine grasslands. This study emphasizes the crucial role of high plant species diversity in controlling arthropods in natural grasslands, particularly in the context of plant diversity loss caused by global changes and human activities.
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Affiliation(s)
- Ningna Lu
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Hainian Yang
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Xianhui Zhou
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou, China
| | - Yun Tan
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Wei Cai
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Qin Jiang
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Ying Lu
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Yangyang Chen
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Haocheng He
- College of Life Science, Northwest Normal University, Lanzhou, China
| | - Sheng Wang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou, China
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21
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Sun X, Guo N, Gao J, Xiao N. Using eDNA to survey amphibians: Methods, applications, and challenges. Biotechnol Bioeng 2024; 121:456-471. [PMID: 37986625 DOI: 10.1002/bit.28592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/23/2023] [Accepted: 10/24/2023] [Indexed: 11/22/2023]
Abstract
In recent years, environmental DNA (eDNA) has received attention from biologists due to its sensitivity, convenience, labor and material efficiency, and lack of damage to organisms. The extensive application of eDNA has opened avenues for the monitoring and biodiversity assessment of amphibians, which are frequently small and difficult to observe in the field, in areas such as biodiversity survey assessment and detection of specific, rare and threatened, or alien invasive species. However, the accuracy of eDNA can be influenced by factors such as ambient temperature, pH, and false positives or false negatives, which makes eDNA an adjunctive tool rather than a replacement for traditional surveys. This review provides a concise overview of the eDNA method and its workflow, summarizes the differences between applying eDNA for detecting amphibians and other organisms, reviews the research progress in eDNA technology for amphibian monitoring, identifies factors influencing detection efficiency, and discusses the challenges and prospects of eDNA. It aims to serve as a reference for future research on the application of eDNA in amphibian detection.
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Affiliation(s)
- Xiaoxuan Sun
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Ningning Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Jianan Gao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
- Collage of Forestry, Shanxi Agricultural University, Jinzhong, China
| | - Nengwen Xiao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
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22
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Matias G, Cagnacci F, Rosalino LM. FSC forest certification effects on biodiversity: A global review and meta-analysis. Sci Total Environ 2024; 908:168296. [PMID: 37926251 DOI: 10.1016/j.scitotenv.2023.168296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/18/2023] [Accepted: 11/01/2023] [Indexed: 11/07/2023]
Abstract
FSC is a worldwide recognized forest certification scheme, that aims to promote the environmentally responsible management and conservation of the world's forests. Despite its broad application, there is little evidence of its effect on biodiversity. To address this important knowledge gap, here we conducted a systematic review and a hierarchical meta-analysis of the effects of FSC on biodiversity worldwide. Our review yielded 57 studies spanning 2004-2022. Most studies were in the Americas and Europe (31 % and 28 %, respectively), and largely focused on vascular plants (41 %). Half (51 %) of the studies aimed to determine the effect of FSC certification on biodiversity. There were 15 studies with sufficient information for meta-analysis, resulting in 231 effect sizes for mammal, bird, and vascular plant abundance and 10 for vascular plant richness. Overall, there is a neutral effect of certification on taxa abundance, with only a positive effect on mammal assemblages. Responses varied considerably between mammals' traits. Threatened species, individuals with reduced body weight, and omnivorous species benefit from management under the FSC scheme. Vascular plant richness exhibited significantly higher values in FSC-certified areas. Moreover, the abundance of vascular plants also differs among traits, with shrubs and adult trees benefiting from FSC certification. Our systematic review and meta-analysis revealed strong variation in biodiversity responses to FSC, and major geographic and taxonomic knowledge gaps. The overall neutral effect and the divergent responses of taxa and species traits suggest that taxa/species-specific management and improvement of FSC criteria are required.
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Affiliation(s)
- Gonçalo Matias
- cE3c-Centre for Ecology, Evolution and Environmental Changes and CHANGE-Global Change and Sustainability Institute, Campo Grande, 1749-016 Lisbon, Portugal.
| | - Francesca Cagnacci
- Animal Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all'Adige, Italy; National Biodiversity Future Centre, Palermo, Italy.
| | - Luís Miguel Rosalino
- cE3c-Centre for Ecology, Evolution and Environmental Changes and CHANGE-Global Change and Sustainability Institute, Campo Grande, 1749-016 Lisbon, Portugal.
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23
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Liu Y, Wang H, Yang J, Dao Z, Sun W. Conservation genetics and potential geographic distribution modeling of Corybas taliensis, a small 'sky Island' orchid species in China. BMC Plant Biol 2024; 24:11. [PMID: 38163918 PMCID: PMC10759615 DOI: 10.1186/s12870-023-04693-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 12/15/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Corybas taliensis is an endemic species of sky islands in China. Its habitat is fragile and unstable, and it is likely that the species is threatened. However, it is difficult to determine the conservation priority or unit without knowing the genetic background and the overall distribution of this species. In this study, we used double digest restriction-site associated DNA-sequencing (ddRAD-seq) to investigate the conservation genomics of C. taliensis. At the same time, we modeled the extent of suitable habitat for C. taliensis in present and future (2030 and 2090) habitat using the maximum-entropy (MaxEnt) model. RESULTS The results suggested that the related C. fanjingshanensis belongs to C. taliensis and should not be considered a separate species. All the sampling locations were divided into three genetic groups: the Sichuan & Guizhou population (SG population), the Hengduan Mountains population (HD population) and Himalayan population (HM population), and we found that there was complex gene flow between the sampling locations of HD population. MT was distinct genetically from the other sampling locations due to the unique environment in Motuo. The genetic diversity (π, He) of C. taliensis was relatively high, but its contemporary effective population size (Ne) was small. C. taliensis might be currently affected by inbreeding depression, although its large population density may be able to reduce the effect of this. The predicted areas of suitable habitat currently found in higher mountains will not change significantly in the future, and these suitable habitats are predicted to spread to other higher mountains under future climate change. However, suitable habitat in relatively low altitude areas may disappear in the future. This suggests that C. taliensis will be caught in a 'summit trap' in low altitude areas, however, in contrast, the high altitude of the Himalaya and the Hengduan Mountains are predicted to act as 'biological refuges' for C. taliensis in the future. CONCLUSIONS These results not only provide a new understanding of the genetic background and potential resource distribution of C. taliensis, but also lay the foundation for its conservation and management.
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Affiliation(s)
- Yuhang Liu
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Huichun Wang
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jing Yang
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China
- Kunming Botanical Garden, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China
| | - Zhiling Dao
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China
- Kunming Botanical Garden, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China
| | - Weibang Sun
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China.
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Kunming Botanical Garden, Kunming Institute of Botany, Chinese Academy of Sciences (CAS), Kunming, Yunnan, 650201, China.
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24
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Dong B, Zhou Y, Peng K, Qin B, Shi K. Construction and assessment of an indicator system of stream conditions in a typical mountain landscape in Northeast China. Environ Sci Pollut Res Int 2024; 31:7889-7901. [PMID: 38170351 DOI: 10.1007/s11356-023-31634-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 12/16/2023] [Indexed: 01/05/2024]
Abstract
Stream ecosystem health assessments are crucial for the effective management of aquatic ecosystem service functions and the assessment of anthropogenic and climatic impacts on aquatic ecosystems. However, there is still a lack of comprehensive assessment methods based on complete ecosystem structures. This study improved an ecological health assessment system, which consists of 13 indicators based on ecosystem structure. The assessment system was applied to 30 streams on Changbai Mountain. The results showed that the comprehensive index of stream health (ISH) in Changbai Mountain was relatively high, and the ISH increased with the elevation gradient. The dominant factors controlling the ecosystem health level were water pH, water flow, vegetation coverage, total phosphorus (TP), and vegetation diversity index. All these results indicated that the damage caused by excessive deforestation and farmland occupation in recent years has not been fully reversed and that human disturbance from tourism may be the main reason for the low stream health at lower elevations. Our results suggest that the key to future work is to increase quantitative research on disturbance sensitivity and to develop economically viable restoration measures.
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Affiliation(s)
- Baili Dong
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing, 210008, People's Republic of China
- University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China
| | - Yongqiang Zhou
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing, 210008, People's Republic of China
- University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China
| | - Kai Peng
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing, 210008, People's Republic of China
- University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China
| | - Boqiang Qin
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing, 210008, People's Republic of China
- University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China
| | - Kun Shi
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing, 210008, People's Republic of China.
- University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China.
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25
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Li WB, Teng Y, Zhang MY, Shen Y, Liu JW, Qi JW, Wang XC, Wu RF, Li JH, Garber PA, Li M. Human activity and climate change accelerate the extinction risk to non-human primates in China. Glob Chang Biol 2024; 30:e17114. [PMID: 38273577 DOI: 10.1111/gcb.17114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 12/07/2023] [Accepted: 12/10/2023] [Indexed: 01/27/2024]
Abstract
Human activity and climate change affect biodiversity and cause species range shifts, contractions, and expansions. Globally, human activities and climate change have emerged as persistent threats to biodiversity, leading to approximately 68% of the ~522 primate species being threatened with extinction. Here, we used habitat suitability models and integrated data on human population density, gross domestic product (GDP), road construction, the normalized difference vegetation index (NDVI), the location of protected areas (PAs), and climate change to predict potential changes in the distributional range and richness of 26 China's primate species. Our results indicate that both PAs and NDVI have a positive impact on primate distributions. With increasing anthropogenic pressure, species' ranges were restricted to areas of high vegetation cover and in PAs surrounded by buffer zones of 2.7-4.5 km and a core area of PAs at least 0.1-0.5 km from the closest edge of the PA. Areas with a GDP below the Chinese national average of 100,000 yuan were found to be ecologically vulnerable, and this had a negative impact on primate distributions. Changes in temperature and precipitation were also significant contributors to a reduction in the range of primate species. Under the expected influence of climate change over the next 30-50 years, we found that highly suitable habitat for primates will continue to decrease and species will be restricted to smaller and more peripheral parts of their current range. Areas of high primate diversity are expected to lose from 3 to 7 species. We recommend that immediate action be taken, including expanding China's National Park Program, the Ecological Conservation Redline Program, and the Natural Forest Protection Program, along with a stronger national policy promoting alternative/sustainable livelihoods for people in the local communities adjacent to primate ranges, to offset the detrimental effects of anthropogenic activities and climate change on primate survivorship.
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Affiliation(s)
- Wen-Bo Li
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- School of Resources and Environmental Engineering, Anhui University, Hefei, Anhui, China
- International Collaborative Research Center for Huangshan Biodiversity and Tibetan Macaque Behavioral Ecology, Hefei, Anhui, China
| | - Yang Teng
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Ming-Yi Zhang
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Ying Shen
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jia-Wen Liu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Ji-Wei Qi
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Xiao-Chen Wang
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Rui-Feng Wu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jin-Hua Li
- International Collaborative Research Center for Huangshan Biodiversity and Tibetan Macaque Behavioral Ecology, Hefei, Anhui, China
- School of Life Sciences, Hefei Normal University, Hefei, Anhui, China
| | - Paul A Garber
- Department of Anthropology and Program in Ecology, Evolution, and Conservation Biology, University of Illinois, Urbana, Illinois, USA
- International Centre of Biodiversity and Primate Conservation, Dali University, Dali, Yunnan, China
| | - Ming Li
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
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26
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Fischer R, Zhunusova E, Günter S, Iost S, Schier F, Schweinle J, Weimar H, Dieter M. Leakage of biodiversity risks under the European Union Biodiversity Strategy 2030. Conserv Biol 2023:e14235. [PMID: 38155500 DOI: 10.1111/cobi.14235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 08/15/2023] [Accepted: 10/31/2023] [Indexed: 12/30/2023]
Abstract
The European Union Biodiversity Strategy 2030 (EUBDS) aims to regain biodiversity through enhanced forest conservation and protection, which may lead to increased timber harvest in non-EU countries. We aimed to identify the potential leakage of biodiversity risks as induced by the EUBDS. We created an indicator framework that allows one to quantify vulnerability of forest biodiversity. The framework is based on 26 biodiversity indicators for which indicator values were publicly available. We weighted single indicator values with countrywise modeled data on changed timber production under EUBDS implementation. Nearly 80% of the indicators pointed to higher vulnerability in the affected non-EU countries. Roundwood production was transferred to countries with, on average, lower governance quality (p = 0.0001), political awareness (p = 0.548), forest coverage (p = 0.034), and biomass (p = 0.272) and with less sustainable forest management (p = 0.044 and p = 0.028). These countries had more natural habitats (p = 0.039) and intact forest landscapes (p = 0.0001) but higher risk of species extinction (p = 0.006) and less protected area (p = 0.0001) than the EU countries. Only a few indicators pointed to lower vulnerability and biodiversity risks outside the EU. Safeguards are needed to ensure that implementation of EUBDS does not cause harm to ecosystems elsewhere. The EU regulation on deforestation-free supply chains might have limited effects because the sustainable management of existing and even expanding forests is not well considered. Sustained roundwood production in the EU is needed to avoid placing more pressure on more vulnerable ecosystems elsewhere. Decreasing species and habitat indicator values nevertheless call for global conservation and protection schemes. The EUBDS helped pave the way to the Kunming-Montreal Biodiversity Framework. Yet, lower values for the indicators mean governance and biodiversity engagement in non-EU countries suggest that this global framework might not sufficiently prevent leakage of risks to biodiversity. Effective land-use planning is necessary to balance conservation schemes with roundwood production.
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Affiliation(s)
- Richard Fischer
- Thünen Institute of Forestry, Forestry Worldwide Unit, Hamburg, Germany
| | - Eliza Zhunusova
- Thünen Institute of Forestry, Forestry Worldwide Unit, Hamburg, Germany
| | - Sven Günter
- Thünen Institute of Forestry, Forestry Worldwide Unit, Hamburg, Germany
| | - Susanne Iost
- Thünen Institute of Forestry, Forestry Worldwide Unit, Hamburg, Germany
| | - Franziska Schier
- Thünen Institute of Forestry, Forestry Worldwide Unit, Hamburg, Germany
| | - Jörg Schweinle
- Thünen Institute of Forestry, Forestry Worldwide Unit, Hamburg, Germany
| | - Holger Weimar
- Thünen Institute of Forestry, Forestry Worldwide Unit, Hamburg, Germany
| | - Matthias Dieter
- Thünen Institute of Forestry, Forestry Worldwide Unit, Hamburg, Germany
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27
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Qu Y, Keller V, Bachiller-Jareno N, Eastman M, Edwards F, Jürgens MD, Sumpter JP, Johnson AC. Significant improvement in freshwater invertebrate biodiversity in all types of English rivers over the past 30 years. Sci Total Environ 2023; 905:167144. [PMID: 37730070 DOI: 10.1016/j.scitotenv.2023.167144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/14/2023] [Accepted: 09/14/2023] [Indexed: 09/22/2023]
Abstract
There remains a persistent concern that freshwater biodiversity is in decline and being threatened by pollution. As the UK, and particularly England, is a densely populated nation with rivers of modest dilution capacity, this location is very suitable to examine how freshwater biodiversity has responded to human pressures over the past 30 years. A long-term dataset of 223,325 freshwater macroinvertebrate records from 1989 to 2018 for England was retrieved and examined. A sub-set of approximately 200 sites per English Region (1515 sites in total with 62,514 samples), with the longest and most consistent records were matched with predicted wastewater exposure, upstream land cover and terrain characteristics (latitude, altitude, slope gradient and flow discharge). To understand changes in macroinvertebrate diversity and sensitivity with respect to these parameters, the biotic indices of (i) overall family richness, (ii) Ephemeroptera, Plecoptera, Trichoptera (EPT) family richness, and (iii) the Biological Monitoring Working Party (BMWP) scores of NTAXA (number of scoring taxa) and (iv) ASPT (average score per taxon) were selected. A review of how close the BMWP scores come to those expected at minimally impacted reference sites was included. For all latitudes, altitudes, channel slope, river size, wastewater exposure levels, and differing proportions of upstream woodland, seminatural, arable and urban land cover, all diversity or sensitivity indices examined improved over this period, although this improvement has slowed in some cases post 2003. Mean overall family richness has increased from 15 to 25 family groups, a 66 % improvement. The improvement in mean EPT family richness (3 to 10 families, >300 % improvement), which are considered to be particularly sensitive to pollution, implies macroinvertebrate diversity has benefited from a national improvement in critical components of water quality.
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Affiliation(s)
- Yueming Qu
- UK Centre for Ecology and Hydrology, Wallingford OX10 8BB, UK
| | - Virginie Keller
- UK Centre for Ecology and Hydrology, Wallingford OX10 8BB, UK
| | - Nuria Bachiller-Jareno
- UK Centre for Ecology and Hydrology, Wallingford OX10 8BB, UK; University of Portsmouth, Portsmouth PO1 2UP, UK
| | - Michael Eastman
- UK Centre for Ecology and Hydrology, Wallingford OX10 8BB, UK; Met Office, Exeter, EX1 3PB, UK
| | - Francois Edwards
- UK Centre for Ecology and Hydrology, Wallingford OX10 8BB, UK; APEM Ltd, Chester CH4 0GZ, UK
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28
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Wang L, Wang E, Mao X, Benjamin W, Liu Y. Sustainable poverty alleviation through forests: Pathways and strategies. Sci Total Environ 2023; 904:167336. [PMID: 37748615 DOI: 10.1016/j.scitotenv.2023.167336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 08/27/2023] [Accepted: 09/22/2023] [Indexed: 09/27/2023]
Abstract
Forests are the most productive terrestrial ecosystems across the world. They can play both a direct and indirect role in global poverty alleviation through their social, economic and environmental functions. However, the potential of forests in poverty alleviation is underestimated to a great extent. Sustainability, the most essential advantage and characteristic of forests for poverty alleviation, has not been fully recognized. To that end, we propose the concept of sustainable poverty alleviation through forests (SPAF). This concept shifts the vision of poverty alleviation through forests from a narrow focus on subsistence and livelihood to a sustainable poverty alleviation that promotes all dimensions of human development. There is abundant evidence that forests can at least contribute to sustainable poverty alleviation through a synergy of seven pathways: subsistence materials, health, income, employment, women's empowerment, climate change mitigation and biodiversity, which are highly consistent with the United Nations Sustainable Development Goals. SPAF also faces enormous implementation challenges, so a sustainable global strategy is urgently needed to provide direction for worldwide poverty alleviation at the crossroads of nature and humanity.
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Affiliation(s)
- Ling Wang
- College of Forestry, Northeast Forestry University, Harbin, China; Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, China
| | - Enheng Wang
- College of Forestry, Northeast Forestry University, Harbin, China; Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, China
| | - Xuegang Mao
- College of Forestry, Northeast Forestry University, Harbin, China; Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, China; Research and Development Center of Big Data for Ecosystem, Northeast Forestry University, Harbin, China.
| | - Watson Benjamin
- College of Foreign Languages, Northeast Forestry University, Harbin, China
| | - Yuan Liu
- College of Forestry, Northeast Forestry University, Harbin, China; Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, China
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29
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Alberti S, Stasolla G, Mazzola S, Casacci LP, Barbero F. Bioacoustic IoT Sensors as Next-Generation Tools for Monitoring: Counting Flying Insects through Buzz. Insects 2023; 14:924. [PMID: 38132598 PMCID: PMC10743731 DOI: 10.3390/insects14120924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/30/2023] [Accepted: 12/02/2023] [Indexed: 12/23/2023]
Abstract
The global loss of biodiversity is an urgent concern requiring the implementation of effective monitoring. Flying insects, such as pollinators, are vital for ecosystems, and establishing their population dynamics has become essential in conservation biology. Traditional monitoring methods are labour-intensive and show time constraints. In this work, we explore the use of bioacoustic sensors for monitoring flying insects. Data collected at four Italian farms using traditional monitoring methods, such as hand netting and pan traps, and bioacoustic sensors were compared. The results showed a positive correlation between the average number of buzzes per hour and insect abundance measured by traditional methods, primarily by pan traps. Intraday and long-term analysis performed on buzzes revealed temperature-related patterns of insect activity. Passive acoustic monitoring proved to be effective in estimating flying insect abundance, while further development of the algorithm is required to correctly identify insect taxa. Overall, innovative technologies, such as bioacoustic sensors, do not replace the expertise and data quality provided by professionals, but they offer unprecedented opportunities to ease insect monitoring to support conservation biodiversity efforts.
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Affiliation(s)
- Simona Alberti
- Department of Life Sciences and Systems Biology, University of Turin, Via Accademia Albertina 13, 10123 Turin, Italy;
| | | | - Simone Mazzola
- 3Bee srl, Via Alessandro Volta 4, 20056 Trezzo Sull’Adda, Italy;
| | - Luca Pietro Casacci
- Department of Life Sciences and Systems Biology, University of Turin, Via Accademia Albertina 13, 10123 Turin, Italy;
| | - Francesca Barbero
- Department of Life Sciences and Systems Biology, University of Turin, Via Accademia Albertina 13, 10123 Turin, Italy;
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30
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Weaver D, Moyle BD, McLennan CL, Casali L. Taming the wicked problem of climate change with "virtuous challenges": An integrated management heuristic. J Environ Manage 2023; 347:119136. [PMID: 37783088 DOI: 10.1016/j.jenvman.2023.119136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 08/10/2023] [Accepted: 09/01/2023] [Indexed: 10/04/2023]
Abstract
Climate change is widely regarded as a "wicked problem" due to its complexity, interconnectedness, and the numerous stakeholders involved in finding a solution. The wickedness of climate change is further compounded by effects which are often nonlinear and uncertain, making it difficult to predict and manage its impacts. This paper builds on the growing body of knowledge on wicked problems by proposing an integrated heuristic that facilitates management in diverse economic and sociopolitical contexts by capturing the origins and dynamics of contemporary global socioenvironmental wicked problems and their potential resolution. The heuristic can also serve as the basis for a holistic wicked problem macro-theory. It is recognised that wicked problems such as climate change amplify into crisis states due to poverty and rigidity traps embedded within a system panarchy, which impede effective action for adaptation and mitigation. The concept of the "virtuous challenge" is embedded within the heuristic as a vital link in governance to enable effective leadership in the management of contemporary wicked problems through focused incremental transformation and a shift to an "agrowth" imperative. It is acknowledged that collaboration between stakeholders in the Global North and Global South is necessary for successful responses to virtuous challenges.
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Affiliation(s)
- David Weaver
- School of Management, QUT Business School, Queensland University of Technology, Brisbane, QLD, 4000, Australia.
| | - Brent D Moyle
- Department of Tourism, Sport and Hotel Management, Griffith University, Gold Coast, QLD, 4222, Australia.
| | - Char-Lee McLennan
- School of Management, QUT Business School, Queensland University of Technology, Brisbane, QLD, 4000, Australia.
| | - Luca Casali
- School of Management, QUT Business School, Queensland University of Technology, Brisbane, QLD, 4000, Australia.
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Davis CL, Bai Y, Chen D, Robinson O, Ruiz-Gutierrez V, Gomes CP, Fink D. Deep learning with citizen science data enables estimation of species diversity and composition at continental extents. Ecology 2023; 104:e4175. [PMID: 37781963 DOI: 10.1002/ecy.4175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 06/13/2023] [Accepted: 08/25/2023] [Indexed: 10/03/2023]
Abstract
Effective solutions to conserve biodiversity require accurate community- and species-level information at relevant, actionable scales and across entire species' distributions. However, data and methodological constraints have limited our ability to provide such information in robust ways. Herein we employ a Deep-Reasoning Network implementation of the Deep Multivariate Probit Model (DMVP-DRNets), an end-to-end deep neural network framework, to exploit large observational and environmental data sets together and estimate landscape-scale species diversity and composition at continental extents. We present results from a novel year-round analysis of North American avifauna using data from over nine million eBird checklists and 72 environmental covariates. We highlight the utility of our information by identifying critical areas of high species diversity for a single group of conservation concern, the North American wood warblers, while capturing spatiotemporal variation in species' environmental associations and interspecific interactions. In so doing, we demonstrate the type of accurate, high-resolution information on biodiversity that deep learning approaches such as DMVP-DRNets can provide and that is needed to inform ecological research and conservation decision-making at multiple scales.
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Affiliation(s)
- Courtney L Davis
- Cornell Laboratory of Ornithology, Cornell University, Ithaca, New York, USA
| | - Yiwei Bai
- Department of Computer Science, Cornell University, Ithaca, New York, USA
| | - Di Chen
- Department of Computer Science, Cornell University, Ithaca, New York, USA
| | - Orin Robinson
- Cornell Laboratory of Ornithology, Cornell University, Ithaca, New York, USA
| | | | - Carla P Gomes
- Department of Computer Science, Cornell University, Ithaca, New York, USA
| | - Daniel Fink
- Cornell Laboratory of Ornithology, Cornell University, Ithaca, New York, USA
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Bell KL, Turo KJ, Lowe A, Nota K, Keller A, Encinas‐Viso F, Parducci L, Richardson RT, Leggett RM, Brosi BJ, Burgess KS, Suyama Y, de Vere N. Plants, pollinators and their interactions under global ecological change: The role of pollen DNA metabarcoding. Mol Ecol 2023; 32:6345-6362. [PMID: 36086900 PMCID: PMC10947134 DOI: 10.1111/mec.16689] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 08/18/2022] [Accepted: 08/30/2022] [Indexed: 11/28/2022]
Abstract
Anthropogenic activities are triggering global changes in the environment, causing entire communities of plants, pollinators and their interactions to restructure, and ultimately leading to species declines. To understand the mechanisms behind community shifts and declines, as well as monitoring and managing impacts, a global effort must be made to characterize plant-pollinator communities in detail, across different habitat types, latitudes, elevations, and levels and types of disturbances. Generating data of this scale will only be feasible with rapid, high-throughput methods. Pollen DNA metabarcoding provides advantages in throughput, efficiency and taxonomic resolution over traditional methods, such as microscopic pollen identification and visual observation of plant-pollinator interactions. This makes it ideal for understanding complex ecological networks and their responses to change. Pollen DNA metabarcoding is currently being applied to assess plant-pollinator interactions, survey ecosystem change and model the spatiotemporal distribution of allergenic pollen. Where samples are available from past collections, pollen DNA metabarcoding has been used to compare contemporary and past ecosystems. New avenues of research are possible with the expansion of pollen DNA metabarcoding to intraspecific identification, analysis of DNA in ancient pollen samples, and increased use of museum and herbarium specimens. Ongoing developments in sequencing technologies can accelerate progress towards these goals. Global ecological change is happening rapidly, and we anticipate that high-throughput methods such as pollen DNA metabarcoding are critical for understanding the evolutionary and ecological processes that support biodiversity, and predicting and responding to the impacts of change.
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Affiliation(s)
- Karen L. Bell
- CSIRO Health & Biosecurity and CSIRO Land & WaterFloreatWAAustralia
- School of Biological SciencesUniversity of Western AustraliaCrawleyWAAustralia
| | - Katherine J. Turo
- Department of Ecology, Evolution, and Natural ResourcesRutgers UniversityNew BrunswickNew JerseyUSA
| | | | - Kevin Nota
- Department of Ecology and GeneticsEvolutionary Biology Centre, Uppsala UniversityUppsalaSweden
| | - Alexander Keller
- Organismic and Cellular Networks, Faculty of BiologyBiocenter, Ludwig‐Maximilians‐Universität MünchenPlaneggGermany
| | - Francisco Encinas‐Viso
- Centre for Australian National Biodiversity ResearchCSIROBlack MountainAustralian Capital TerritoryAustralia
| | - Laura Parducci
- Department of Ecology and GeneticsEvolutionary Biology Centre, Uppsala UniversityUppsalaSweden
- Department of Environmental BiologySapienza University of RomeRomeItaly
| | - Rodney T. Richardson
- Appalachian LaboratoryUniversity of Maryland Center for Environmental ScienceFrostburgMarylandUSA
| | | | - Berry J. Brosi
- Department of BiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Kevin S. Burgess
- Department of BiologyCollege of Letters and Sciences, Columbus State University, University System of GeorgiaAtlantaGeorgiaUSA
| | - Yoshihisa Suyama
- Field Science CenterGraduate School of Agricultural Science, Tohoku UniversityOsakiMiyagiJapan
| | - Natasha de Vere
- Natural History Museum of DenmarkUniversity of CopenhagenCopenhagenDenmark
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Chapman CA, Gogarten JF, Golooba M, Kalbitzer U, Omeja PA, Opito EA, Sarkar D. Fifty+ years of primate research illustrates complex drivers of abundance and increasing primate numbers. Am J Primatol 2023:e23577. [PMID: 37985837 DOI: 10.1002/ajp.23577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 09/25/2023] [Accepted: 11/05/2023] [Indexed: 11/22/2023]
Abstract
Many primate populations are threatened by human actions and a central tool used for their protection is establishing protected areas. However, even if populations in such areas are protected from hunting and deforestation, they still may be threatened by factors such as climate change and its cascading impacts on habitat quality and disease dynamics. Here we provide a long-term and geographically wide-spread population assessment of the five common diurnal primates of Kibale National Park, Uganda. Over 7 year-long or longer census efforts that spanned 52 years, our team walked 1466 km, and recorded 480 monkey groups. Populations were generally relatively stable with a few exceptions, for which no apparent causative factors could be identified. This stability is unexpected as many ecological changes documented over the last 34+ years (e.g., decreasing food abundance and quality) were predicted to have negative impacts. Populations of some species declined at some sites but increased at others. This highlights the need for large, protected areas so that declines in particular areas are countered by gains in others. Kibale has large areas of regenerating forest and this most recent survey revealed that after 20+ years, forest regeneration in many of these areas appears sufficient to sustain sizeable primate populations, except for blue monkeys that have not colonized these areas. Indeed, the average primate abundance in the regenerating forest was only 8.1% lower than in neighboring old-growth forest. Thus, park-wide primate abundance has likely increased, despite many pressures on the park having risen; however, some areas in the park remain to be assessed. Our study suggests that the restoration, patrolling, and community outreach efforts of the Uganda Wildlife Authority and their partners have contributed significantly to protecting the park and its animals.
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Affiliation(s)
- Colin A Chapman
- Biology Department, Vancouver Island University, Nanaimo, British Columbia, Canada
- Wilson Center, Washington, District of Columbia, USA
- Shaanxi Key Laboratory for Animal Conservation, Northwest University, Xi'an, China
- School of Life Sciences, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa
| | - Jan F Gogarten
- Helmholtz Institute for One Health, Greifswald, Germany
- Department of Applied Zoology and Nature Conservation, University of Greifswald, Greifswald, Germany
| | - Martin Golooba
- Makerere University Biological Field Station, Fort Portal, Uganda
| | - Urs Kalbitzer
- Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Konstanz, Germany
- Department of Biology, University of Konstanz, Konstanz, Germany
| | - Patrick A Omeja
- Makerere University Biological Field Station, Fort Portal, Uganda
| | - Emmanuel A Opito
- Makerere University Biological Field Station, Fort Portal, Uganda
| | - Dipto Sarkar
- Department of Geography and Environmental Studies, Carleton University, Ottawa, Canada
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Di Marco M, Santini L, Corcos D, Tschorsnig HP, Cerretti P. Elevational homogenization of mountain parasitoids across six decades. Proc Natl Acad Sci U S A 2023; 120:e2308273120. [PMID: 37931098 PMCID: PMC10655582 DOI: 10.1073/pnas.2308273120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 10/02/2023] [Indexed: 11/08/2023] Open
Abstract
Elevational gradients are characterized by strong environmental changes within small geographical distances, providing important insights on the response of biological communities to climate change. Mountain biodiversity is particularly sensitive to climate change, given the limited capacity to colonize new areas and the competition from upshifting lowland species. Knowledge on the impact of climate change on mountain insect communities is patchy, but elevation is known to influence parasitic interactions which control insect communities and functions within ecosystems. We analyzed a European dataset of bristle flies, a parasitoid group which regulates insect herbivory in both managed and natural ecosystems. Our dataset spans six decades and multiple elevational bands, and we found marked elevational homogenization in the host specialization of bristle fly species through time. The proportion of specialized parasitoids has increased by ca. 70% at low elevations, from 17 to 29%, and has decreased by ca. 20% at high elevations, from 48 to 37%. As a result, the strong elevational gradient in bristle fly specialization observed in the 1960s has become much flatter over time. As climate warming is predicted to accelerate, the disappearance of specialized parasitoids from high elevations might become even faster. This parasitoid homogenization can reshape the ecological function of mountain insect communities, increasing the risk of herbivory outbreak at high elevations. Our results add to the mounting evidence that symbiotic species might be especially at risk from climate change: Monitoring the effects of these changes is urgently needed to define effective conservation strategies for mountain biodiversity.
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Affiliation(s)
- Moreno Di Marco
- Department of Biology and Biotechnologies “Charles Darwin”, Sapienza University of Rome, RomeI-00185, Italy
- Museo di Zoologia, Polo Museale Sapienza, Sapienza University of Rome, RomeI-00162, Italy
| | - Luca Santini
- Department of Biology and Biotechnologies “Charles Darwin”, Sapienza University of Rome, RomeI-00185, Italy
- Museo di Zoologia, Polo Museale Sapienza, Sapienza University of Rome, RomeI-00162, Italy
| | - Daria Corcos
- Istituto Comprensivo Solitati Tiburzi, Rome00149, Italy
| | | | - Pierfilippo Cerretti
- Department of Biology and Biotechnologies “Charles Darwin”, Sapienza University of Rome, RomeI-00185, Italy
- Museo di Zoologia, Polo Museale Sapienza, Sapienza University of Rome, RomeI-00162, Italy
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Hochkirch A, Bilz M, Ferreira CC, Danielczak A, Allen D, Nieto A, Rondinini C, Harding K, Hilton-Taylor C, Pollock CM, Seddon M, Vié JC, Alexander KN, Beech E, Biscoito M, Braud Y, Burfield IJ, Buzzetti FM, Cálix M, Carpenter KE, Chao NL, Chobanov D, Christenhusz MJM, Collette BB, Comeros-Raynal MT, Cox N, Craig M, Cuttelod A, Darwall WRT, Dodelin B, Dulvy NK, Englefield E, Fay MF, Fettes N, Freyhof J, García S, Criado MG, Harvey M, Hodgetts N, Ieronymidou C, Kalkman VJ, Kell SP, Kemp J, Khela S, Lansdown RV, Lawson JM, Leaman DJ, Brehm JM, Maxted N, Miller RM, Neubert E, Odé B, Pollard D, Pollom R, Pople R, Presa Asensio JJ, Ralph GM, Rankou H, Rivers M, Roberts SPM, Russell B, Sennikov A, Soldati F, Staneva A, Stump E, Symes A, Telnov D, Temple H, Terry A, Timoshyna A, van Swaay C, Väre H, Walls RHL, Willemse L, Wilson B, Window J, Wright EGE, Zuna-Kratky T. A multi-taxon analysis of European Red Lists reveals major threats to biodiversity. PLoS One 2023; 18:e0293083. [PMID: 37939028 PMCID: PMC10631624 DOI: 10.1371/journal.pone.0293083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 10/04/2023] [Indexed: 11/10/2023] Open
Abstract
Biodiversity loss is a major global challenge and minimizing extinction rates is the goal of several multilateral environmental agreements. Policy decisions require comprehensive, spatially explicit information on species' distributions and threats. We present an analysis of the conservation status of 14,669 European terrestrial, freshwater and marine species (ca. 10% of the continental fauna and flora), including all vertebrates and selected groups of invertebrates and plants. Our results reveal that 19% of European species are threatened with extinction, with higher extinction risks for plants (27%) and invertebrates (24%) compared to vertebrates (18%). These numbers exceed recent IPBES (Intergovernmental Platform on Biodiversity and Ecosystem Services) assumptions of extinction risk. Changes in agricultural practices and associated habitat loss, overharvesting, pollution and development are major threats to biodiversity. Maintaining and restoring sustainable land and water use practices is crucial to minimize future biodiversity declines.
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Affiliation(s)
- Axel Hochkirch
- Musée National d’Histoire Naturelle, Luxembourg, Luxembourg
- Department of Biogeography, Trier University, Trier, Germany
- IUCN SSC Invertebrate Conservation Committee, Trier, Germany
- IUCN SSC Steering Committee, Caracas, Venezuela
- IUCN SSC Grasshopper Specialist Group, Trier, Germany
| | - Melanie Bilz
- Institute of Landscape Architecture and Environmental Planning, Technische Universität Berlin, Berlin, Germany
- IUCN SSC Freshwater Plant Specialist Group, Stroud, United Kingdom
- IUCN European Regional Office, Brussels, Belgium
| | - Catarina C. Ferreira
- IUCN European Regional Office, Brussels, Belgium
- UFZ—Helmholtz Centre for Environmental Research, Department of Conservation Biology, Leipzig, Germany
| | - Anja Danielczak
- Department of Biogeography, Trier University, Trier, Germany
| | - David Allen
- IUCN, Biodiversity Assessment and Knowledge Team, Cambridge, United Kingdom
| | - Ana Nieto
- IUCN European Regional Office, Brussels, Belgium
- IUCN, Species Conservation Action Team, Gland, Switzerland
| | - Carlo Rondinini
- Global Mammal Assessment program, Department of Biology and Biotechnologies, Sapienza University of Rome; Rome, Italy
- Global Wildlife Conservation Center, State University of New York College of Environmental Science and Forestry, Syracuse, NY, United States of America
| | - Kate Harding
- IUCN, Biodiversity Assessment and Knowledge Team, Cambridge, United Kingdom
| | | | | | - Mary Seddon
- IUCN SSC Invertebrate Conservation Committee, Trier, Germany
- IUCN SSC Mollusc Specialist Group, Devon, United Kingdom
| | - Jean-Christophe Vié
- IUCN SSC Steering Committee, Caracas, Venezuela
- Fondation Franklinia, Genève, Switzerland
- IUCN SSC Plant Conservation Committee, Pretoria, South Africa
| | | | - Emily Beech
- Botanic Gardens Conservation International, Richmond, United Kingdom
| | - Manuel Biscoito
- Funchal Natural History Museum, Funchal, Portugal
- MARE-Marine and Environmental Sciences Centre, Lisboa, Portugal
| | - Yoan Braud
- IUCN SSC Grasshopper Specialist Group, Trier, Germany
| | - Ian J. Burfield
- BirdLife International, Cambridge, United Kingdom
- IUCN SSC Red List Authority for Birds, Cambridge, United Kingdom
| | - Filippo Maria Buzzetti
- IUCN SSC Grasshopper Specialist Group, Trier, Germany
- Fondazione Museo Civico di Rovereto, Sezione Zoologia, Rovereto, Italy
| | - Marta Cálix
- IUCN European Regional Office, Brussels, Belgium
- Rewilding Portugal, Guarda, Portugal
| | - Kent E. Carpenter
- IUCN Marine Biodiversity Unit, Biological Sciences, Norfolk, VA, United States of America
| | | | - Dragan Chobanov
- IUCN SSC Grasshopper Specialist Group, Trier, Germany
- Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | | | - Bruce B. Collette
- IUCN Tuna and Billfish Specialist Group, National Museum of Natural History, Washington, DC, United States of America
| | - Mia T. Comeros-Raynal
- ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Australia
- Water Resources Research Center, University of Hawai’i, Honolulu, HI, United States of America
| | - Neil Cox
- IUCN-Conservation International Biodiversity Assessment Unit, Washington, DC, United States of America
| | - Matthew Craig
- National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southwest Fisheries Science Center, La Jolla, CA, United States of America
| | - Annabelle Cuttelod
- IUCN Red List Unit, IUCN Global Species Programme, Cambridge, United Kingdom
| | | | - Benoit Dodelin
- IUCN Specialist Adviser on European Saproxylic Beetles, Truro, United Kingdom
| | - Nicholas K. Dulvy
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, Canada
| | - Eve Englefield
- IUCN European Regional Office, Brussels, Belgium
- Joint Nature Conservation Committee, Peterborough, United Kingdom
| | - Michael F. Fay
- IUCN SSC Orchid Specialist Group, Royal Botanic Gardens; Richmond, United Kingdom
| | - Nicholas Fettes
- IUCN European Regional Office, Brussels, Belgium
- Scott Cawley, Dublin, Ireland
| | - Jörg Freyhof
- Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Berlin, Germany
| | | | - Mariana García Criado
- IUCN European Regional Office, Brussels, Belgium
- School of Geosciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Michael Harvey
- IUCN Marine Biodiversity Unit, Biological Sciences, Norfolk, VA, United States of America
| | - Nick Hodgetts
- European Committee for the Conservation of Bryophytes, Portree, United Kingdom
| | | | | | - Shelagh P. Kell
- The University of Birmingham, School of Biosciences, Birmingham, United Kingdom
| | - James Kemp
- IUCN European Regional Office, Brussels, Belgium
| | - Sonia Khela
- IUCN SSC Cave Invertebrate Specialist Group, Cambridge, United Kingdom
| | | | - Julia M. Lawson
- IUCN Red List Unit, IUCN Global Species Programme, Cambridge, United Kingdom
- Bren School of Environmental Science & Management, University of California, Santa Barbara, Santa Barbara, CA, United States of America
| | | | - Joana Magos Brehm
- The University of Birmingham, School of Biosciences, Birmingham, United Kingdom
- IUCN SSC Crop Wild Relative Specialist Group, Birmingham, United Kingdom
| | - Nigel Maxted
- The University of Birmingham, School of Biosciences, Birmingham, United Kingdom
| | - Rebecca M. Miller
- IUCN Red List Unit, IUCN Global Species Programme, Cambridge, United Kingdom
| | | | - Baudewijn Odé
- IUCN SSC Grasshopper Specialist Group, Trier, Germany
- FLORON Plant Conservation Netherlands, Nijmegen, Netherlands
| | - David Pollard
- Department of Ichthyology, Australian Museum, Sydney, Australia
| | - Riley Pollom
- Species Recovery Program, Seattle Aquarium, Seattle, WA, United States of America
| | - Rob Pople
- BirdLife International, Cambridge, United Kingdom
| | | | - Gina M. Ralph
- IUCN Marine Biodiversity Unit, Biological Sciences, Norfolk, VA, United States of America
| | - Hassan Rankou
- IUCN SSC Orchid Specialist Group, Royal Botanic Gardens; Richmond, United Kingdom
| | - Malin Rivers
- Botanic Gardens Conservation International, Richmond, United Kingdom
- IUCN SSC Global Tree Specialist Group, Richmond, United Kingdom
| | - Stuart P. M. Roberts
- Department of Agroecology, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Barry Russell
- IUCN Snapper, Seabream and Grunt Specialist Group, Museum and Art Gallery of the Northern Territory, Darwin, Australia
| | - Alexander Sennikov
- Botanical Museum, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Fabien Soldati
- Office National des Forêts, Laboratoire National d’Entomologie Forestière, Quillan, France
| | - Anna Staneva
- BirdLife International, Cambridge, United Kingdom
| | - Emilie Stump
- IUCN Marine Biodiversity Unit, Biological Sciences, Norfolk, VA, United States of America
| | - Andy Symes
- BirdLife International, Cambridge, United Kingdom
| | - Dmitry Telnov
- Natural History Museum, Department of Life Sciences, London, United Kingdom
- Coleopterological Research Center, Institute of Life Sciences and Technology, Daugavpils University, Daugavpils, Latvia
- Institute of Biology, University of Latvia, Rīga, Latvia
| | - Helen Temple
- The Biodiversity Consultancy, Cambridge, United Kingdom
| | - Andrew Terry
- Zoological Society of London, London, United Kingdom
| | - Anastasiya Timoshyna
- IUCN SSC Medicinal Plant Specialist Group, Ottawa, Canada
- TRAFFIC, Cambridge, United Kingdom
| | - Chris van Swaay
- Vlinderstichting (Dutch Butterfly Conservation), Wageningen, Netherlands
| | - Henry Väre
- Botanical Museum, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Rachel H. L. Walls
- Reef Environmental Education Foundation, Key Largo, FL, United States of America
| | - Luc Willemse
- IUCN SSC Grasshopper Specialist Group, Trier, Germany
- Naturalis Biodiversity Center, Leiden, The Netherlands
| | - Brett Wilson
- Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom
| | - Jemma Window
- IUCN, Biodiversity Assessment and Knowledge Team, Cambridge, United Kingdom
| | | | - Thomas Zuna-Kratky
- IUCN SSC Grasshopper Specialist Group, Trier, Germany
- Ingenieurbüro für Landschaftsplanung und Landschaftspflege, Vienna, Austria
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Flinte V, Pádua DG, Durand EM, Hodgin C, Khattar G, da Silveira LFL, Fernandes DRR, Sääksjärvi IE, Monteiro RF, Macedo MV, Mayhew PJ. Variation in a Darwin Wasp (Hymenoptera: Ichneumonidae) Community along an Elevation Gradient in a Tropical Biodiversity Hotspot: Implications for Ecology and Conservation. Insects 2023; 14:861. [PMID: 37999060 PMCID: PMC10671876 DOI: 10.3390/insects14110861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/23/2023] [Accepted: 10/30/2023] [Indexed: 11/25/2023]
Abstract
Understanding how biodiversity varies from place to place is a fundamental goal of ecology and an important tool for halting biodiversity loss. Parasitic wasps (Hymenoptera) are a diverse and functionally important animal group, but spatial variation in their diversity is poorly understood. We survey a community of parasitic wasps (Ichneumonidae: Pimplinae) using Malaise traps up a mountain in the Brazilian Atlantic Rainforest, and relate the catch to biotic and abiotic habitat characteristics. We find high species richness compared with previous similar studies, with abundance, richness, and diversity peaking at low to intermediate elevation. There is a marked change in community composition with elevation. Habitat factors strongly correlated with elevation also strongly predict changes in the pimpline community, including temperature as well as the density of bamboo, lianas, epiphytes, small trees, and herbs. These results identify several possible surrogates of pimpline communities in tropical forests, which could be used as a tool in conservation. They also contribute to the growing evidence for a typical latitudinal gradient in ichneumonid species richness, and suggest that low to medium elevations in tropical regions will sometimes conserve the greatest number of species locally, but to conserve maximal biodiversity, a wider range of elevations should also be targeted.
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Affiliation(s)
- Vivian Flinte
- Departamento de Ecologia, Instituto de Biologia, Universidade Federal do Rio de Janeiro, C.P. 68020, Rio de Janeiro 21941-590, Brazil; (V.F.); (G.K.); (L.F.L.d.S.); (R.F.M.); (M.V.M.)
| | - Diego G. Pádua
- Programa de Pós-Graduação em Entomologia, Instituto Nacional de Pesquisas da Amazônia, Manaus 69067-375, Brazil; (D.G.P.); (D.R.R.F.)
- Centro de Investigación de Estudios Avanzados del Maule, Vicerrectoría de Investigación y Postgrado, Universidad Católica del Maule, Avenida San Miguel, Talca 3605, Chile
| | - Emily M. Durand
- Department of Biology, University of York, Heslington, York YO10 5DD, UK; (E.M.D.); (C.H.)
| | - Caitlin Hodgin
- Department of Biology, University of York, Heslington, York YO10 5DD, UK; (E.M.D.); (C.H.)
| | - Gabriel Khattar
- Departamento de Ecologia, Instituto de Biologia, Universidade Federal do Rio de Janeiro, C.P. 68020, Rio de Janeiro 21941-590, Brazil; (V.F.); (G.K.); (L.F.L.d.S.); (R.F.M.); (M.V.M.)
- Laboratory of Community and Quantitative Ecology, Department of Biology, Concordia University, Montreal, QC H4B 1R6, Canada
| | - Luiz Felipe L. da Silveira
- Departamento de Ecologia, Instituto de Biologia, Universidade Federal do Rio de Janeiro, C.P. 68020, Rio de Janeiro 21941-590, Brazil; (V.F.); (G.K.); (L.F.L.d.S.); (R.F.M.); (M.V.M.)
- Biology Department, Western Carolina University, 1 University Drive, Cullowhee, NC 28723, USA
| | - Daniell R. R. Fernandes
- Programa de Pós-Graduação em Entomologia, Instituto Nacional de Pesquisas da Amazônia, Manaus 69067-375, Brazil; (D.G.P.); (D.R.R.F.)
| | | | - Ricardo F. Monteiro
- Departamento de Ecologia, Instituto de Biologia, Universidade Federal do Rio de Janeiro, C.P. 68020, Rio de Janeiro 21941-590, Brazil; (V.F.); (G.K.); (L.F.L.d.S.); (R.F.M.); (M.V.M.)
| | - Margarete V. Macedo
- Departamento de Ecologia, Instituto de Biologia, Universidade Federal do Rio de Janeiro, C.P. 68020, Rio de Janeiro 21941-590, Brazil; (V.F.); (G.K.); (L.F.L.d.S.); (R.F.M.); (M.V.M.)
| | - Peter J. Mayhew
- Department of Biology, University of York, Heslington, York YO10 5DD, UK; (E.M.D.); (C.H.)
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37
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Young EA, Postma E. Low interspecific variation and no phylogenetic signal in additive genetic variance in wild bird and mammal populations. Ecol Evol 2023; 13:e10693. [PMID: 37933323 PMCID: PMC10625858 DOI: 10.1002/ece3.10693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/18/2023] [Accepted: 10/19/2023] [Indexed: 11/08/2023] Open
Abstract
Evolutionary adaptation through genetic change requires genetic variation and is a key mechanism enabling species to persist in changing environments. Although a substantial body of work has focused on understanding how and why additive genetic variance (V A) differs among traits within species, we still know little about how they vary among species. Here we make a first attempt at testing for interspecific variation in two complementary measures of V A and the role of phylogeny in shaping this variation. To this end, we performed a phylogenetic comparative analysis using 1822 narrow-sense heritability (h 2) for 68 species of birds and mammals and 378 coefficients of additive genetic variance (CV A) estimates for 23 species. Controlling for within-species variation attributable to estimation method and trait type, we found some interspecific variation in h 2 (~15%) but not CV A. Although suggestive of interspecific variation in the importance of non-(additive) genetic sources of variance, sample sizes were insufficient to test this hypothesis directly. Additionally, although power was low, no phylogenetic signal was detected for either measure. Hence, while this suggests interspecific variation in V A is probably small, our understanding of interspecific variation in the adaptive potential of wild vertebrate populations is currently hampered by data limitations, a scarcity of CV A estimates and a measure of their uncertainty in particular.
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Affiliation(s)
- Euan A. Young
- Groningen Institute for Evolutionary Life SciencesUniversity of GroningenGroningenThe Netherlands
- Centre for Ecology and ConservationUniversity of ExeterPenrynUK
| | - Erik Postma
- Centre for Ecology and ConservationUniversity of ExeterPenrynUK
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38
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Sandvik H, Pedersen B. Metrics for quantifying how much different threats contribute to red lists of species and ecosystems. Conserv Biol 2023; 37:e14105. [PMID: 37144498 DOI: 10.1111/cobi.14105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 05/06/2023]
Abstract
Red lists are a crucial tool for the management of threatened species and ecosystems. Among the information red lists provide, the threats affecting the listed species or ecosystem, such as pollution or hunting, are of special relevance. This information can be used to quantify the relative contribution of different threat factors to biodiversity loss by disaggregating the cumulative extinction risk across species into components that can be attributed to certain threats. We devised and compared 3 metrics that accomplish this and may be used as indicators. The first metric calculates the portion of the temporal change in red list index (RLI) values that is caused by each threat. The second metric attributes the deviation of an RLI value from its reference value to different threats. The third metric uses extinction probabilities that are inferred from red list categories to estimate the contribution of a threat to the expected loss of species or ecosystems within 50 years. We used data from Norwegian Red Lists to test and evaluate these metrics. The first metric captured only a minor portion of the biodiversity loss caused by threats because it ignores species whose red list category does not change. Management authorities will often be interested in the contribution of a given threat to the total deviation from the optimal state. This was measured by the remaining metrics. The second metric was best suited for comparisons across countries or taxonomic groups. The third metric conveyed the same information but uses numbers of species or ecosystem as its unit, which is likely more intuitive to lay people and may be preferred when communicating with stakeholders or the general public.
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Affiliation(s)
- Hanno Sandvik
- Norwegian Institute for Nature Research (NINA), Trondheim, Norway
| | - Bård Pedersen
- Norwegian Institute for Nature Research (NINA), Trondheim, Norway
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39
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Volery L, Vaz Fernandez M, Wegmann D, Bacher S. A general framework to quantify and compare ecological impacts under temporal dynamics. Ecol Lett 2023; 26:1726-1739. [PMID: 37515418 DOI: 10.1111/ele.14288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 06/26/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023]
Abstract
Biodiversity is diminishing at alarming rates due to multiple anthropogenic drivers. To mitigate these drivers, their impacts must be quantified accurately and comparably across drivers. To enable that, we present a generally applicable framework introducing fundamental principles of ecological impact quantification, including the quantification of interactions between multiple drivers. The framework contrasts biodiversity variables in impacted against those in unimpacted or other reference situations while accounting for their temporal dynamics through modelling. Properly accounting for temporal dynamics reduces biases in impact quantification and comparison. The framework addresses key questions around ecological impacts in global change science, namely, how to compare impacts under temporal dynamics across stressors, how to account for stressor interactions in such comparisons, and how to compare the success of management actions over time.
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Affiliation(s)
- Lara Volery
- Department of Biology, University of Fribourg, Fribourg, Switzerland
| | - Margarida Vaz Fernandez
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Swiss Institute of Bioinformatics, Fribourg, Switzerland
| | - Daniel Wegmann
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Swiss Institute of Bioinformatics, Fribourg, Switzerland
| | - Sven Bacher
- Department of Biology, University of Fribourg, Fribourg, Switzerland
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40
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March-Salas M, Lorite J, Bossdorf O, Scheepens JF. Cliffs as priority ecosystems. Conserv Biol 2023; 37:e14166. [PMID: 37551743 DOI: 10.1111/cobi.14166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 06/29/2023] [Accepted: 07/03/2023] [Indexed: 08/09/2023]
Affiliation(s)
- Martí March-Salas
- Plant Evolutionary Ecology, Faculty of Biological Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Juan Lorite
- Department of Botany, Faculty of Sciences, University of Granada (UGR), Granada, Spain
| | - Oliver Bossdorf
- Plant Evolutionary Ecology, Institute of Evolution & Ecology, University of Tübingen, Tübingen, Germany
| | - J F Scheepens
- Plant Evolutionary Ecology, Faculty of Biological Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
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41
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Yang C, Li Q, Wang X, Cui A, Chen J, Liu H, Ma W, Dong X, Shi T, Meng F, Yan X, Ding K, Wu G. Human Expansion-Induced Biodiversity Crisis over Asia from 2000 to 2020. Research (Wash D C) 2023; 6:0226. [PMID: 37746659 PMCID: PMC10513745 DOI: 10.34133/research.0226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 08/21/2023] [Indexed: 09/26/2023]
Abstract
Asia stands out as a priority for urgent biodiversity conservation due to its large protected areas (PAs) and threatened species. Since the 21st century, both the highlands and lowlands of Asia have been experiencing the dramatic human expansion. However, the threat degree of human expansion to biodiversity is poorly understood. Here, the threat degree of human expansion to biodiversity over 2000 to 2020 in Asia at the continental (Asia), national (48 Asian countries), and hotspot (6,502 Asian terrestrial PAs established before 2000) scales is investigated by integrating multiple large-scale data. The results show that human expansion poses widespread threat to biodiversity in Asia, especially in Southeast Asia, with Malaysia, Cambodia, and Vietnam having the largest threat degrees (∼1.5 to 1.7 times of the Asian average level). Human expansion in highlands induces higher threats to biodiversity than that in lowlands in one-third Asian countries (most Southeast Asian countries). The regions with threats to biodiversity are present in ∼75% terrestrial PAs (including 4,866 PAs in 26 countries), and human expansion in PAs triggers higher threat degrees to biodiversity than that in non-PAs. Our findings provide novel insight for the Sustainable Development Goal 15 (SDG-15 Life on Land) and suggest that human expansion in Southeast Asian countries and PAs might hinder the realization of SDG-15. To reduce the threat degree, Asian developing countries should accelerate economic transformation, and the developed countries in the world should reduce the demands for commodity trade in Southeast Asian countries (i.e., trade leading to the loss of wildlife habitats) to alleviate human expansion, especially in PAs and highlands.
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Affiliation(s)
- Chao Yang
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
- School of Architecture and Urban Planning,
Shenzhen University, Shenzhen 518060, China
| | - Qingquan Li
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
- College of Civil and Transportation Engineering,
Shenzhen University, Shenzhen 518060, China
- Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China
| | - Xuqing Wang
- Center for Hydrogeology and Environmental Geology, China Geological Survey, Baoding 071051, China
| | - Aihong Cui
- Department of Geography, Hong Kong Baptist University, Hong Kong Special Administrative Region 999077, China
| | - Junyi Chen
- Faculty of Land Resource Engineering,
Kunming University of Science and Technology, Kunming 650093, China
| | - Huizeng Liu
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
- Institute for Advanced Study and Tiandu-Shenzhen University Deep Space Joint Laboratory, Shenzhen University, Shenzhen 518060, China
| | - Wei Ma
- School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China
| | - Xuanyan Dong
- Department of Civil and Environmental Engineering,
Tohoku University, Sendai 980-8579, Japan
| | - Tiezhu Shi
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
- School of Architecture and Urban Planning,
Shenzhen University, Shenzhen 518060, China
| | - Fanyi Meng
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
- College of Civil and Transportation Engineering,
Shenzhen University, Shenzhen 518060, China
| | - Xiaohu Yan
- School of Artificial Intelligence,
Shenzhen Polytechnic, Shenzhen 518055, China
| | - Kai Ding
- School of Computer Science and Technology,
Dongguan University of Technology, Dongguan 523419, China
| | - Guofeng Wu
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
- School of Architecture and Urban Planning,
Shenzhen University, Shenzhen 518060, China
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42
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Sarkodie SA, Owusu PA. Assessment of global fish footprint reveals growing challenges for sustainable production and consumption. Mar Pollut Bull 2023; 194:115369. [PMID: 37556861 DOI: 10.1016/j.marpolbul.2023.115369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 07/30/2023] [Accepted: 07/31/2023] [Indexed: 08/11/2023]
Abstract
Globalization faces a tradeoff between meeting fish consumption demand for nutritious & healthy living and reducing the ecological footprint to achieve sustainable development. Here, we document drivers, historical trends, and mitigation options for global fish footprint using unevenly spaced data spanning 1961 to 2021 from over 200 economies while accounting for income classifications. We report a decline in fish production in developed countries, yet, their increased consumption demand per capita is met through overexploited stocks of fish imported from developing economies. Besides, global fish price volatility has no effect on fish distribution in high-income nations but highly influences fish production, consumption, import, and export in developing nations. The evidence of purchasing economies of scale in urbanized countries and the potential threat of embodied price in fish distribution and trade affect global fish footprint. The persistent increase in fish footprint can be attributed to affluence, choice of technology, urbanization, human development, marine trophic levels, emission intensity, and time-invariant & unobserved country-specificities. We highlight that aligning development and choices along the targets of sustainable development goals augments the achievement of sustainable fish production and consumption.
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43
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Delavaux CS, Crowther TW, Zohner CM, Robmann NM, Lauber T, van den Hoogen J, Kuebbing S, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Gatti RC, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Cornejo Valverde F, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Fischer M, Fletcher C, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hillers A, Honorio Coronado EN, Hui C, Ibanez TT, Amaral I, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Laarmann D, Lang M, Lewis SL, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Martynenko O, Meave JA, Melo-Cruz O, Mendoza C, Merow C, Mendoza AM, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Phillips OL, Picard N, Piedade MTTF, Piotto D, Pitman NCA, Polo I, Poorter L, Poulsen AD, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Miscicki S, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Do TV, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, Maynard DS. Native diversity buffers against severity of non-native tree invasions. Nature 2023; 621:773-781. [PMID: 37612513 PMCID: PMC10533391 DOI: 10.1038/s41586-023-06440-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 07/14/2023] [Indexed: 08/25/2023]
Abstract
Determining the drivers of non-native plant invasions is critical for managing native ecosystems and limiting the spread of invasive species1,2. Tree invasions in particular have been relatively overlooked, even though they have the potential to transform ecosystems and economies3,4. Here, leveraging global tree databases5-7, we explore how the phylogenetic and functional diversity of native tree communities, human pressure and the environment influence the establishment of non-native tree species and the subsequent invasion severity. We find that anthropogenic factors are key to predicting whether a location is invaded, but that invasion severity is underpinned by native diversity, with higher diversity predicting lower invasion severity. Temperature and precipitation emerge as strong predictors of invasion strategy, with non-native species invading successfully when they are similar to the native community in cold or dry extremes. Yet, despite the influence of these ecological forces in determining invasion strategy, we find evidence that these patterns can be obscured by human activity, with lower ecological signal in areas with higher proximity to shipping ports. Our global perspective of non-native tree invasion highlights that human drivers influence non-native tree presence, and that native phylogenetic and functional diversity have a critical role in the establishment and spread of subsequent invasions.
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Affiliation(s)
- Camille S Delavaux
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland.
| | - Thomas W Crowther
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Constantin M Zohner
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Niamh M Robmann
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Thomas Lauber
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Johan van den Hoogen
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Sara Kuebbing
- The Forest School at The Yale School of the Environment, Yale University, New Haven, CT, USA
| | - Jingjing Liang
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | - Sergio de-Miguel
- Department of Crop and Forest Sciences, University of Lleida, Lleida, Spain
- Joint Research Unit CTFC-AGROTECNIO-CERCA, Solsona, Spain
| | | | - Peter B Reich
- Department of Forest Resources, University of Minnesota, St Paul, MN, USA
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia
- Institute for Global Change Biology, and School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA
| | - Meinrad Abegg
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
| | - Yves C Adou Yao
- UFR Biosciences, University Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire
| | - Giorgio Alberti
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
- Faculty of Science and Technology, Free University of Bolzano, Bolzano, Italy
| | - Angelica M Almeyda Zambrano
- Spatial Ecology and Conservation Laboratory, Department of Tourism, Recreation and Sport Management, University of Florida, Gainesville, FL, USA
| | | | | | | | - Luciana F Alves
- Center for Tropical Research, Institute of the Environment and Sustainability, UCLA, Los Angeles, CA, USA
| | - Christian Ammer
- Silviculture and Forest Ecology of the Temperate Zones, University of Göttingen, Göttingen, Germany
| | - Clara Antón-Fernández
- Division of Forest and Forest Resources, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway
| | | | - Luzmila Arroyo
- Museo de Historia Natural Noel kempff Mercado, Santa Cruz, Bolivia
| | | | - Gerardo A Aymard
- UNELLEZ-Guanare, Programa de Ciencias del Agro y el Mar, Herbario Universitario (PORT), Portuguesa, Venezuela
- Compensation International S. A. Ci Progress-GreenLife, Bogotá, Colombia
| | | | - Radomir Bałazy
- Department of Geomatics, Forest Research Institute, Raszyn, Poland
| | - Olaf Banki
- Naturalis Biodiversity Center, Leiden, The Netherlands
| | - Jorcely G Barroso
- Centro Multidisciplinar, Universidade Federal do Acre, Rio Branco, Brazil
| | - Meredith L Bastian
- Proceedings of the National Academy of Sciences, Washington, DC, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - Jean-Francois Bastin
- TERRA Teach and Research Centre, Gembloux Agro Bio-Tech, University of Liege, Liege, Belgium
| | - Luca Birigazzi
- United Nation Framework Convention on Climate Change, Bonn, Germany
| | - Philippe Birnbaum
- Institut Agronomique néo-Calédonien (IAC), Nouméa, New Caledonia
- AMAP, University of Montpellier, Montpellier, France
- CIRAD, CNRS, INRAE, IRD, Montpellier, France
| | - Robert Bitariho
- Institute of Tropical Forest Conservation, Mbarara University of Sciences and Technology, Mbarara, Uganda
| | - Pascal Boeckx
- Isotope Bioscience Laboratory-ISOFYS, Ghent University, Ghent, Belgium
| | - Frans Bongers
- Wageningen University and Research, Wageningen, The Netherlands
| | - Olivier Bouriaud
- Integrated Center for Research, Development and Innovation in Advanced Materials, Nanotechnologies, and Distributed Systems for Fabrication and Control (MANSiD), Stefan cel Mare University of Suceava, Suceava, Romania
| | - Pedro H S Brancalion
- Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - Roel Brienen
- School of Geography, University of Leeds, Leeds, UK
| | - Eben N Broadbent
- Spatial Ecology and Conservation Laboratory, School of Forest Resources and Conservation, University of Florida, Gainesville, FL, USA
| | - Helge Bruelheide
- Institute of Biology, Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle-Wittenberg, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Filippo Bussotti
- Department of Agriculture, Food, Environment and Forest (DAGRI), University of Firenze, Florence, Italy
| | - Roberto Cazzolla Gatti
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Ricardo G César
- Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Goran Cesljar
- Department of Spatial Regulation, GIS and Forest Policy, Institute of Forestry, Belgrade, Serbia
| | - Robin Chazdon
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Han Y H Chen
- Faculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada
| | - Chelsea Chisholm
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Hyunkook Cho
- Division of Forest Resources Information, Korea Forest Promotion Institute, Seoul, South Korea
| | - Emil Cienciala
- IFER-Institute of Forest Ecosystem Research, Jilove u Prahy, Czech Republic
- Global Change Research Institute CAS, Brno, Czech Republic
| | - Connie Clark
- Nicholas School of the Environment, Duke University, Durham, NC, USA
| | - David Clark
- Department of Biology, University of Missouri-St Louis, St Louis, MO, USA
| | - Gabriel D Colletta
- Programa de Pós-graduação em Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, Brazil
| | - David A Coomes
- Department of Plant Sciences and Conservation Research Institute, University of Cambridge, Cambridge, UK
| | | | - José J Corral-Rivas
- Facultad de Ciencias Forestales y Ambientales, Universidad Juárez del Estado de Durango, Durango, Mexico
| | - Philip M Crim
- Department of Biology, West Virginia University, Morgantown, WV, USA
- Department of Physical and Biological Sciences, The College of Saint Rose, Albany, NY, USA
| | | | - Selvadurai Dayanandan
- Biology Department, Centre for Structural and Functional Genomics, Concordia University, Montreal, Quebec, Canada
| | - André L de Gasper
- Natural Science Department, Universidade Regional de Blumenau, Blumenau, Brazil
| | - Mathieu Decuyper
- Wageningen University and Research, Wageningen, The Netherlands
- World Agroforestry (ICRAF), Nairobi, Kenya
| | - Géraldine Derroire
- Cirad, UMR EcoFoG (AgroParisTech, CNRS, INRAE), Université des Antilles, Université de la Guyane, Campus Agronomique, Kourou, France
| | - Ben DeVries
- Department of Geographical Sciences, University of Maryland, College Park, MD, USA
| | | | - Jiri Dolezal
- Institute of Botany, The Czech Academy of Sciences, Třeboň, Czech Republic
- Department of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
| | - Aurélie Dourdain
- Cirad, UMR EcoFoG (AgroParisTech, CNRS, INRAE), Université des Antilles, Université de la Guyane, Campus Agronomique, Kourou, France
| | | | - Brian J Enquist
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
- The Santa Fe Institute, Santa Fe, NM, USA
| | - Teresa J Eyre
- Queensland Herbarium, Department of Environment and Science, Toowong, Queensland, Australia
| | | | - Tom M Fayle
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
| | - Ted R Feldpausch
- Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Leandro V Ferreira
- Museu Paraense Emílio Goeldi. Coordenação de Ciências da Terra e Ecologia, Belém, Pará, Brazil
| | - Markus Fischer
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | | | - Lorenzo Frizzera
- Research and Innovation Center, Fondazione Edmund Mach, San Michele All'adige, Italy
| | - Javier G P Gamarra
- Forestry Division, Food and Agriculture Organization of the United Nations, Rome, Italy
| | - Damiano Gianelle
- Research and Innovation Center, Fondazione Edmund Mach, San Michele All'adige, Italy
| | | | | | - Andrew Hector
- Department of Plant Sciences, University of Oxford, Oxford, UK
| | - Andreas Hemp
- Department of Plant Systematics, University of Bayreuth, Bayreuth, Germany
| | | | - Bruno Hérault
- Cirad, UPR Forêts et Sociétés, University of Montpellier, Montpellier, France
- Department of Forestry and Environment, National Polytechnic Institute (INP-HB), Yamoussoukro, Côte d'Ivoire
| | - John L Herbohn
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- Tropical Forests and People Research Centre, University of the Sunshine Coast, Maroochydore, Queensland, Australia
| | - Martin Herold
- Wageningen University and Research, Wageningen, The Netherlands
| | - Annika Hillers
- Centre for Conservation Science, The Royal Society for the Protection of Birds, Sandy, UK
- Wild Chimpanzee Foundation, Liberia Office, Monrovia, Liberia
| | | | - Cang Hui
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Stellenbosch, South Africa
- Theoretical Ecology Unit, African Institute for Mathematical Sciences, Cape Town, South Africa
| | - Thomas T Ibanez
- AMAP, University of Montpellier, Montpellier, France
- CIRAD, CNRS, INRAE, IRD, Montpellier, France
| | - Iêda Amaral
- National Institute of Amazonian Research, Manaus, Brazil
| | - Nobuo Imai
- Department of Forest Science, Tokyo University of Agriculture, Tokyo, Japan
| | - Andrzej M Jagodziński
- Institute of Dendrology, Polish Academy of Sciences, Kórnik, Poland
- Poznań University of Life Sciences, Department of Game Management and Forest Protection, Poznań, Poland
| | - Bogdan Jaroszewicz
- Faculty of Biology, Białowieża Geobotanical Station, University of Warsaw, Białowieża, Poland
| | - Vivian Kvist Johannsen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Carlos A Joly
- Department of Plant Biology, Institute of Biology, University of Campinas, UNICAMP, Campinas, Brazil
| | - Tommaso Jucker
- School of Biological Sciences, University of Bristol, Bristol, UK
| | - Ilbin Jung
- Division of Forest Resources Information, Korea Forest Promotion Institute, Seoul, South Korea
| | - Viktor Karminov
- Forestry Faculty, Bauman Moscow State Technical University, Mytischi, Russia
| | | | - Elizabeth Kearsley
- CAVElab-Computational and Applied Vegetation Ecology, Department of Environment, Ghent University, Ghent, Belgium
| | - David Kenfack
- CTFS-ForestGEO, Smithsonian Tropical Research Institute, Balboa, Panama
| | - Deborah K Kennard
- Department of Physical and Environmental Sciences, Colorado Mesa University, Grand Junction, CO, USA
| | - Sebastian Kepfer-Rojas
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Gunnar Keppel
- UniSA STEM and Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Mohammed Latif Khan
- Department of Botany, Dr Harisingh Gour Vishwavidyalaya (A Central University), Sagar, India
| | | | - Hyun Seok Kim
- Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul, South Korea
- Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University, Seoul, South Korea
- National Center for Agro Meteorology, Seoul, South Korea
- Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
| | | | - Michael Köhl
- Institute for World Forestry, University of Hamburg, Hamburg, Germany
| | - Henn Korjus
- Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
| | - Florian Kraxner
- Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
| | - Diana Laarmann
- Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
| | - Mait Lang
- Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
| | - Simon L Lewis
- School of Geography, University of Leeds, Leeds, UK
- Department of Geography, University College London, London, UK
| | - Huicui Lu
- Faculty of Forestry, Qingdao Agricultural University, Qingdao, China
| | - Natalia V Lukina
- Center for Forest Ecology and Productivity, Russian Academy of Sciences, Moscow, Russia
| | - Brian S Maitner
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Yadvinder Malhi
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | - Eric Marcon
- AgroParisTech, UMR-AMAP, Cirad, CNRS, INRA, IRD, Université de Montpellier, Montpellier, France
| | | | - Ben Hur Marimon-Junior
- Departamento de Ciências Biológicas, Universidade do Estado de Mato Grosso, Nova Xavantina, Brazil
| | - Andrew R Marshall
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- Department of Environment and Geography, University of York, York, UK
- Flamingo Land, Malton, UK
| | - Emanuel H Martin
- Department of Wildlife Management, College of African Wildlife Management, Mweka, Tanzania
| | - Olga Martynenko
- Forestry Faculty, Bauman Moscow State Technical University, Mytischi, Russia
| | - Jorge A Meave
- Departamento de Ecología y Recursos Naturales, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | - Casimiro Mendoza
- Colegio de Profesionales Forestales de Cochabamba, Cochabamba, Bolivia
| | - Cory Merow
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - Abel Monteagudo Mendoza
- Jardín Botánico de Missouri, Pasco, Peru
- Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru
| | - Vanessa S Moreno
- Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Sharif A Mukul
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- Department of Environment and Development Studies, United International University, Dhaka, Bangladesh
| | - Philip Mundhenk
- Institute for World Forestry, University of Hamburg, Hamburg, Germany
| | - María Guadalupe Nava-Miranda
- Laboratorio de geomática, Instituto de Silvicultura e Industria de la Madera, Universidad Juárez del Estado de Durango, Durango, Mexico
- Programa de doctorado en Ingeniería para el desarrollo rural y civil, Escuela de Doctorado Internacional de la Universidad de Santiago de Compostela, Santiago de Compostela, Spain
- Department of Environment and Development Studies, United International University, Dhaka, Bangladesh
| | - David Neill
- Universidad Estatal Amazónica, Puyo, Pastaza, Ecuador
| | - Victor J Neldner
- Queensland Herbarium, Department of Environment and Science, Toowong, Queensland, Australia
| | | | - Michael R Ngugi
- Queensland Herbarium, Department of Environment and Science, Toowong, Queensland, Australia
| | - Pascal A Niklaus
- Department of Evolutionary Biology and Environmental Studies, University of Zürich, Zurich, Switzerland
| | - Jacek Oleksyn
- Institute of Dendrology, Polish Academy of Sciences, Kórnik, Poland
| | - Petr Ontikov
- Forestry Faculty, Bauman Moscow State Technical University, Mytischi, Russia
| | | | - Yude Pan
- Climate, Fire, and Carbon Cycle Sciences, USDA Forest Service, Durham, NC, USA
| | - Alain Paquette
- Centre for Forest Research, Université du Québec à Montréal, Montreal, Quebec, Canada
| | | | - Elena I Parfenova
- V. N. Sukachev Institute of Forest, FRC KSC, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
| | - Minjee Park
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
- Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul, South Korea
| | - Marc Parren
- Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, The Netherlands
| | | | - Pablo L Peri
- Instituto Nacional de Tecnología Agropecuaria (INTA), Universidad Nacional de la Patagonia Austral (UNPA), Consejo Nacional de Investigaciones Científicas y Tecnicas (CONICET), Río Gallegos, Argentina
| | - Sebastian Pfautsch
- School of Social Sciences (Urban Studies), Western Sydney University, Penrith, New South Wales, Australia
| | | | - Nicolas Picard
- Forestry Department, Food and Agriculture Organization of the United Nations, Rome, Italy
| | | | - Daniel Piotto
- Laboratório de Dendrologia e Silvicultura Tropical, Centro de Formação em Ciências Agroflorestais, Universidade Federal do Sul da Bahia, Itabuna, Brazil
| | | | - Irina Polo
- Jardín Botánico de Medellín, Medellin, Colombia
| | - Lourens Poorter
- Wageningen University and Research, Wageningen, The Netherlands
| | | | - Hans Pretzsch
- Chair for Forest Growth and Yield Science, TUM School for Life Sciences, Technical University of Munich, Munich, Germany
| | | | - Zorayda Restrepo-Correa
- Servicios Ecosistémicos y Cambio Climático (SECC), Fundación Con Vida & Corporación COL-TREE, Medellín, Colombia
| | - Mirco Rodeghiero
- Research and Innovation Center, Fondazione Edmund Mach, San Michele All'adige, Italy
- Centro Agricoltura, Alimenti, Ambiente, University of Trento, San Michele All'adige, Italy
| | - Samir G Rolim
- Laboratório de Dendrologia e Silvicultura Tropical, Centro de Formação em Ciências Agroflorestais, Universidade Federal do Sul da Bahia, Itabuna, Brazil
| | - Anand Roopsind
- Department of Biological Sciences, Boise State University, Boise, ID, USA
| | - Francesco Rovero
- Department of Biology, University of Florence, Florence, Italy
- Tropical Biodiversity, MUSE-Museo delle Scienze, Trento, Italy
| | | | - Purabi Saikia
- Department of Environmental Sciences, Central University of Jharkhand, Ranchi, Jharkhand, India
| | - Christian Salas-Eljatib
- Centro de Modelación y Monitoreo de Ecosistemas, Universidad Mayor, Santiago, Chile
- Vicerrectoria de Investigacion y Postgrado, Universidad de La Frontera, Temuco, Chile
- Depto. de Silvicultura y Conservacion de la Naturaleza, Universidad de Chile, Temuco, Chile
| | | | - Peter Schall
- Silviculture and Forest Ecology of the Temperate Zones, University of Göttingen, Göttingen, Germany
| | - Dmitry Schepaschenko
- Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
- V. N. Sukachev Institute of Forest, FRC KSC, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
- Siberian Federal University, Krasnoyarsk Russian Federation, Krasnoyarsk, Russia
| | | | - Bernhard Schmid
- Department of Evolutionary Biology and Environmental Studies, University of Zürich, Zurich, Switzerland
| | | | - Eric B Searle
- Centre for Forest Research, Université du Québec à Montréal, Montreal, Quebec, Canada
| | - Vladimír Seben
- National Forest Centre, Forest Research Institute Zvolen, Zvolen, Slovakia
| | - Josep M Serra-Diaz
- Université de Lorraine, AgroParisTech, INRAE, Silva, Nancy, France
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO) and Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus, Denmark
| | - Douglas Sheil
- Forest Ecology and Forest Management, Wageningen University and Research, Wageningen, The Netherlands
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - Anatoly Z Shvidenko
- Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
| | | | - Marcos Silveira
- Centro de Ciências Biológicas e da Natureza, Universidade Federal do Acre, Rio Branco, Acre, Brazil
| | - James Singh
- Guyana Forestry Commission, Georgetown, France
| | - Plinio Sist
- Cirad, UPR Forêts et Sociétés, University of Montpellier, Montpellier, France
| | - Ferry Slik
- Environmental and Life Sciences, Faculty of Science, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Bonaventure Sonké
- Plant Systematic and Ecology Laboratory, Department of Biology, Higher Teachers' Training College, University of Yaoundé I, Yaoundé, Cameroon
| | - Alexandre F Souza
- Departamento de Ecologia, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | | | | | - Jens-Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO) and Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus, Denmark
- Section for Ecoinformatics & Biodiversity, Department of Biology, Aarhus University, Aarhus, Denmark
| | - Miroslav Svoboda
- Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech Republic
| | | | | | - Nadja Tchebakova
- V. N. Sukachev Institute of Forest, FRC KSC, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
| | - Hans Ter Steege
- Naturalis Biodiversity Center, Leiden, The Netherlands
- Quantitative Biodiversity Dynamics, Betafaculty, Utrecht University, Utrecht, The Netherlands
| | - Raquel Thomas
- Iwokrama International Centre for Rainforest Conservation and Development (IIC), Georgetown, Guyana
| | - Elena Tikhonova
- Center for Forest Ecology and Productivity, Russian Academy of Sciences, Moscow, Russia
| | - Peter M Umunay
- School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA
| | - Vladimir A Usoltsev
- Botanical Garden of Ural Branch of Russian Academy of Sciences, Ural State Forest Engineering University, Yekaterinburg, Russia
| | | | | | - Fons van der Plas
- Plant Ecology and Nature Conservation Group, Wageningen University, Wageningen, The Netherlands
| | - Tran Van Do
- Silviculture Research Institute, Vietnamese Academy of Forest Sciences, Hanoi, Vietnam
| | | | | | - Hans Verbeeck
- CAVElab-Computational and Applied Vegetation Ecology, Department of Environment, Ghent University, Ghent, Belgium
| | - Helder Viana
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, University of Trás-os-Montes and Alto Douro, UTAD, Viseu, Portugal
- Department of Ecology and Sustainable Agriculture, Agricultural High School, Polytechnic Institute of Viseu, Viseu, Portugal
| | - Alexander C Vibrans
- Natural Science Department, Universidade Regional de Blumenau, Blumenau, Brazil
- Department of Forest Engineering Universidade Regional de Blumenau, Blumenau, Brazil
| | - Simone Vieira
- Environmental Studies and Research Center, University of Campinas, UNICAMP, Campinas, Brazil
| | - Klaus von Gadow
- Department of Forest and Wood Science, University of Stellenbosch, Stellenbosch, South Africa
| | - Hua-Feng Wang
- Key Laboratory of Tropical Biological Resources, Ministry of Education, School of Life and Pharmaceutical Sciences, Hainan University, Haikou, China
| | - James V Watson
- Division of Forestry and Natural Resources, West Virginia University, Morgantown, WV, USA
| | | | - Susan K Wiser
- Manaaki Whenua-Landcare Research, Lincoln, New Zealand
| | - Florian Wittmann
- Department of Wetland Ecology, Institute for Geography and Geoecology, Karlsruhe Institute for Technology, Karlsruhe, Germany
| | | | - Verginia Wortel
- Centre for Agricultural Research in Suriname (CELOS), Paramaribo, Suriname
| | - Roderik Zagt
- Tropenbos International, Wageningen, The Netherlands
| | | | - Chunyu Zhang
- Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Xiuhai Zhao
- Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Mo Zhou
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | - Zhi-Xin Zhu
- Key Laboratory of Tropical Biological Resources, Ministry of Education, School of Life and Pharmaceutical Sciences, Hainan University, Haikou, China
| | - Irie C Zo-Bi
- Department of Forestry and Environment, National Polytechnic Institute (INP-HB), Yamoussoukro, Côte d'Ivoire
| | - Daniel S Maynard
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
- Department of Genetics, Evolution, and Environment, University College London, London, UK
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Diana A, Dennis EB, Matechou E, Morgan BJT. Fast Bayesian inference for large occupancy datasets. Biometrics 2023; 79:2503-2515. [PMID: 36579700 DOI: 10.1111/biom.13816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 12/06/2022] [Indexed: 12/30/2022]
Abstract
In recent years, the study of species' occurrence has benefited from the increased availability of large-scale citizen-science data. While abundance data from standardized monitoring schemes are biased toward well-studied taxa and locations, opportunistic data are available for many taxonomic groups, from a large number of locations and across long timescales. Hence, these data provide opportunities to measure species' changes in occurrence, particularly through the use of occupancy models, which account for imperfect detection. These opportunistic datasets can be substantially large, numbering hundreds of thousands of sites, and hence present a challenge from a computational perspective, especially within a Bayesian framework. In this paper, we develop a unifying framework for Bayesian inference in occupancy models that account for both spatial and temporal autocorrelation. We make use of the Pólya-Gamma scheme, which allows for fast inference, and incorporate spatio-temporal random effects using Gaussian processes (GPs), for which we consider two efficient approximations: subset of regressors and nearest neighbor GPs. We apply our model to data on two UK butterfly species, one common and widespread and one rare, using records from the Butterflies for the New Millennium database, producing occupancy indices spanning 45 years. Our framework can be applied to a wide range of taxa, providing measures of variation in species' occurrence, which are used to assess biodiversity change.
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Affiliation(s)
- Alex Diana
- School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, UK
| | - Emily Beth Dennis
- School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, UK
- Butterfly Conservation, Manor Yard, East Lulworth, Wareham, Dorset, UK
| | - Eleni Matechou
- School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, UK
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Keck F, Brantschen J, Altermatt F. A combination of machine-learning and eDNA reveals the genetic signature of environmental change at the landscape levels. Mol Ecol 2023; 32:4791-4800. [PMID: 37436405 DOI: 10.1111/mec.17073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/23/2023] [Accepted: 07/03/2023] [Indexed: 07/13/2023]
Abstract
The current advances of environmental DNA (eDNA) bring profound changes to ecological monitoring and provide unique insights on the biological diversity of ecosystems. The very nature of eDNA data is challenging yet also revolutionizing how biological monitoring information is analysed. In particular, new metrics and approaches should take full advantage of the extent and detail of molecular data produced by genetic methods. In this perspective, machine learning algorithms are particularly promising as they can capture complex relationships between the multiple environmental pressures and the diversity of biological communities. We investigated the potential of a new generation of biomonitoring tools that implement machine-learning techniques to fully exploit eDNA datasets. We trained a machine learning model to discriminate between reference and impacted communities of freshwater macroinvertebrates and assessed its performances using a large eDNA dataset collected at 64 standard federal monitoring sites across Switzerland. We show that a model trained on eDNA is significantly better than a naive model and performs similarly to a model trained on traditional data. Our proof-of-concept shows that such a combination of eDNA and machine learning approaches has the potential to complement or even replace traditional environmental monitoring, and could be scaled along temporal or spatial dimensions.
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Affiliation(s)
- François Keck
- Department of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland
- Department of Evolutionary Biology and Environmental Studies, Faculty of Science, University of Zurich, Zurich, Switzerland
| | - Jeanine Brantschen
- Department of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland
- Department of Evolutionary Biology and Environmental Studies, Faculty of Science, University of Zurich, Zurich, Switzerland
| | - Florian Altermatt
- Department of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland
- Department of Evolutionary Biology and Environmental Studies, Faculty of Science, University of Zurich, Zurich, Switzerland
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46
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Sethi SS, Bick A, Ewers RM, Klinck H, Ramesh V, Tuanmu MN, Coomes DA. Limits to the accurate and generalizable use of soundscapes to monitor biodiversity. Nat Ecol Evol 2023; 7:1373-1378. [PMID: 37524796 PMCID: PMC10482675 DOI: 10.1038/s41559-023-02148-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 07/03/2023] [Indexed: 08/02/2023]
Abstract
Although eco-acoustic monitoring has the potential to deliver biodiversity insight on vast scales, existing analytical approaches behave unpredictably across studies. We collated 8,023 audio recordings with paired manual avifaunal point counts to investigate whether soundscapes could be used to monitor biodiversity across diverse ecosystems. We found that neither univariate indices nor machine learning models were predictive of species richness across datasets but soundscape change was consistently indicative of community change. Our findings indicate that there are no common features of biodiverse soundscapes and that soundscape monitoring should be used cautiously and in conjunction with more reliable in-person ecological surveys.
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Affiliation(s)
- Sarab S Sethi
- Conservation Research Institute and Department of Plant Sciences, University of Cambridge, Cambridge, UK.
- Centre for Biodiversity and Environment Research, University College London, London, UK.
| | - Avery Bick
- Norwegian Institute for Nature Research, Trondheim, Norway
| | - Robert M Ewers
- Georgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London, London, UK
| | - Holger Klinck
- K Lisa Yang Center for Conservation Bioacoustics, Cornell University, Ithaca, NY, USA
| | - Vijay Ramesh
- K Lisa Yang Center for Conservation Bioacoustics, Cornell University, Ithaca, NY, USA
- Project Dhvani, Bangalore, India
| | - Mao-Ning Tuanmu
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
| | - David A Coomes
- Conservation Research Institute and Department of Plant Sciences, University of Cambridge, Cambridge, UK
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47
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Hu L, Hua H, Yin G, Liang T, Zhao N. Study on Calibration Method for the Count of Living Algal Cells Detection Based on Variable Fluorescence in Ballast Water. J Fluoresc 2023:10.1007/s10895-023-03400-2. [PMID: 37615894 DOI: 10.1007/s10895-023-03400-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 08/16/2023] [Indexed: 08/25/2023]
Abstract
In the monitoring the discharge of ballast water, the count of living algal cells is of utmost significant. Variable fluorescence, denoted as Fv, stands as an optimal parameter for photosynthetic fluorescence, efficiently charactering the living algal cells count, unaffected by the ballast waters' complex background fluorescence environment. This study deeply investigates the quantitative relationship between Fv and the count of living algal cells. Observations indicate that single cell fluorescence yield (abbreviated as SCF) varies significantly across different algae species, leading to considerable errors in quantifying living algal cell count in ballast water with unknown components using the calibration relationship between Fv and the cell count. Thus, correcting SCF prior to calibration becomes necessary. The paper proposes an innovative SCF correction method based on cell cross-sectional area and an eμ factor (where μ is the expected value of the functional absorption cross-section of PSII) This method mitigates the influence of cell size and species differences on quantifying the living algal cell count. Correction operation trials revealed that dividing the SCF measurement by cell cross-sectional area and multiplying by eμ enhanced the correction effect. Comparative experiments demonstrated marked improvement: Relative errors (REs) for Chlorella pyrenoidosa and Chlorella marine, both belonging to the Chlorophyta group, fell from 92.1% and 90.6% to 37.2% and 9.5% respectively post-correction. Similarly, REs for Thalassiosira weissflogii and Nitzschia closterium minutissima, from the Bacillariophyta group, decreased from 74.7% and 68.1% to 14.3% and 19.1% respectively. The RE of Peridinium from the Pyrrophyta group dropped from 28.4% to 12.1%. The results underscore the effectiveness of cell cross-sectional area and eμ in correcting SCF, thus offering a novel correction method for swift and precise measurement of living algal cell count in ballast water, based on variable fluorescence.
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Affiliation(s)
- Li Hu
- School of Physics and Materials Engineering, Hefei Normal University, Hefei, 230061, China
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, Anhui, 230061, China
| | - Hui Hua
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, Anhui, 230061, China
| | - Gaofang Yin
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, Anhui, 230061, China.
| | - Tianhong Liang
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, Anhui, 230061, China
| | - Nanjing Zhao
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, Anhui, 230061, China
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48
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Hunt ML, Blackburn GA, Siriwardena GM, Carrasco L, Rowland CS. Using satellite data to assess spatial drivers of bird diversity. Remote Sens Ecol Conserv 2023; 9:483-500. [PMID: 38505567 PMCID: PMC10946777 DOI: 10.1002/rse2.322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 11/15/2022] [Accepted: 11/28/2022] [Indexed: 03/21/2024]
Abstract
Birds are useful indicators of overall biodiversity, which continues to decline globally, despite targets to reduce its loss. The aim of this paper is to understand the importance of different spatial drivers for modelling bird distributions. Specifically, it assesses the importance of satellite-derived measures of habitat productivity, heterogeneity and landscape structure for modelling bird diversity across Great Britain. Random forest (RF) regression is used to assess the extent to which a combination of satellite-derived covariates explain woodland and farmland bird diversity and richness. Feature contribution analysis is then applied to assess the relationships between the response variable and the covariates in the final RF models. We show that much of the variation in farmland and woodland bird distributions is explained (R 2 0.64-0.77) using monthly habitat-specific productivity values and landscape structure (FRAGSTATS) metrics. The analysis highlights important spatial drivers of bird species richness and diversity, including high productivity grassland during spring for farmland birds and woodland patch edge length for woodland birds. The feature contribution provides insight into the form of the relationship between the spatial drivers and bird richness and diversity, including when a particular spatial driver affects bird richness positively or negatively. For example, for woodland bird diversity, the May 80th percentile Normalized Difference Vegetation Index (NDVI) for broadleaved woodland has a strong positive effect on bird richness when NDVI is >0.7 and a strong negative effect below. If relationships such as these are stable over time, they offer a useful analytical tool for understanding and comparing the influence of different spatial drivers.
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Affiliation(s)
- Merryn L. Hunt
- UK Centre for Ecology & Hydrology, Lancaster Environment CentreLancaster UniversityLancasterLA1 4YQUnited Kingdom
| | | | - Gavin M. Siriwardena
- British Trust for Ornithology, The Nunnery, ThetfordNorfolkIP24 2PUUnited Kingdom
| | | | - Clare S. Rowland
- UK Centre for Ecology & Hydrology, Lancaster Environment CentreLancaster UniversityLancasterLA1 4YQUnited Kingdom
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Petrosyan V, Dinets V, Osipov F, Dergunova N, Khlyap L. Range Dynamics of Striped Field Mouse ( Apodemus agrarius) in Northern Eurasia under Global Climate Change Based on Ensemble Species Distribution Models. Biology (Basel) 2023; 12:1034. [PMID: 37508463 PMCID: PMC10376031 DOI: 10.3390/biology12071034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/06/2023] [Accepted: 07/20/2023] [Indexed: 07/30/2023]
Abstract
The striped field mouse (Apodemus agrarius Pallas, 1771) is a widespread species in Northern Eurasia. It damages crops and carries zoonotic pathogens. Its current and future range expansion under climate change may negatively affect public health and the economy, warranting further research to understand the ecological and invasive characteristics of the species. In our study, we used seven algorithms (GLM, GAM, GBS, FDA, RF, ANN, and MaxEnt) to develop robust ensemble species distribution models (eSDMs) under current (1970-2000) and future climate conditions derived from global circulation models (GCMs) for 2021-2040, 2041-2060, 2061-2080, and 2081-2100. Simulation of climate change included high-, medium-, and low-sensitivity GCMs under four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). We analyzed the habitat suitability across GCMs and scenarios by constructing geographical ranges and calculating their centroids. The results showed that the range changes depended on both the sensitivity of GCMs and scenario. The main trends were range expansion to the northeast and partial loss of habitat in the steppe area. The striped field mouse may form a continuous range from Central Europe to East Asia, closing the range gap that has existed for 12 thousand years. We present 49 eSDMs for the current and future distribution of A. agrarius (for 2000-2100) with quantitative metrics (gain, loss, change) of the range dynamics under global climate change. The most important predictor variables determining eSDMs are mean annual temperature, mean diurnal range of temperatures, the highest temperature of the warmest month, annual precipitation, and precipitation in the coldest month. These findings could help limit the population of the striped field mouse and predict distribution of the species under global climate change.
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Affiliation(s)
- Varos Petrosyan
- A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Moscow 119071, Russia
| | - Vladimir Dinets
- Psychology Department, University of Tennessee, Knoxville, TN 37996, USA
| | - Fedor Osipov
- A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Moscow 119071, Russia
| | - Natalia Dergunova
- A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Moscow 119071, Russia
| | - Lyudmila Khlyap
- A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Moscow 119071, Russia
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Thompson JB, Davis KE, Dodd HO, Wills MA, Priest NK. Speciation across the Earth driven by global cooling in terrestrial orchids. Proc Natl Acad Sci U S A 2023; 120:e2102408120. [PMID: 37428929 PMCID: PMC10629580 DOI: 10.1073/pnas.2102408120] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 06/03/2023] [Indexed: 07/12/2023] Open
Abstract
Although climate change has been implicated as a major catalyst of diversification, its effects are thought to be inconsistent and much less pervasive than localized climate or the accumulation of species with time. Focused analyses of highly speciose clades are needed in order to disentangle the consequences of climate change, geography, and time. Here, we show that global cooling shapes the biodiversity of terrestrial orchids. Using a phylogeny of 1,475 species of Orchidoideae, the largest terrestrial orchid subfamily, we find that speciation rate is dependent on historic global cooling, not time, tropical distributions, elevation, variation in chromosome number, or other types of historic climate change. Relative to the gradual accumulation of species with time, models specifying speciation driven by historic global cooling are over 700 times more likely. Evidence ratios estimated for 212 other plant and animal groups reveal that terrestrial orchids represent one of the best-supported cases of temperature-spurred speciation yet reported. Employing >2.5 million georeferenced records, we find that global cooling drove contemporaneous diversification in each of the seven major orchid bioregions of the Earth. With current emphasis on understanding and predicting the immediate impacts of global warming, our study provides a clear case study of the long-term impacts of global climate change on biodiversity.
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Affiliation(s)
- Jamie B. Thompson
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
| | - Katie E. Davis
- Department of Biology, University of York, YorkYO10 5DD, United Kingdom
| | - Harry O. Dodd
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
| | - Matthew A. Wills
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
| | - Nicholas K. Priest
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
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