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Spake L, Hassan A, Schaffnit SB, Alam N, Amoah AS, Badjie J, Cerami C, Crampin A, Dube A, Kaye MP, Kotch R, Liew F, McLean E, Munthali-Mkandawire S, Mwalwanda L, Petersen AC, Prentice AM, Zohora FT, Watts J, Sear R, Shenk MK, Sosis R, Shaver JH. A practical guide to cross-cultural and multi-sited data collection in the biological and behavioural sciences. Proc Biol Sci 2024; 291:20231422. [PMID: 38654647 PMCID: PMC11040250 DOI: 10.1098/rspb.2023.1422] [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: 06/23/2023] [Accepted: 03/21/2024] [Indexed: 04/26/2024] Open
Abstract
Researchers in the biological and behavioural sciences are increasingly conducting collaborative, multi-sited projects to address how phenomena vary across ecologies. These types of projects, however, pose additional workflow challenges beyond those typically encountered in single-sited projects. Through specific attention to cross-cultural research projects, we highlight four key aspects of multi-sited projects that must be considered during the design phase to ensure success: (1) project and team management; (2) protocol and instrument development; (3) data management and documentation; and (4) equitable and collaborative practices. Our recommendations are supported by examples from our experiences collaborating on the Evolutionary Demography of Religion project, a mixed-methods project collecting data across five countries in collaboration with research partners in each host country. To existing discourse, we contribute new recommendations around team and project management, introduce practical recommendations for exploring the validity of instruments through qualitative techniques during piloting, highlight the importance of good documentation at all steps of the project, and demonstrate how data management workflows can be strengthened through open science practices. While this project was rooted in cross-cultural human behavioural ecology and evolutionary anthropology, lessons learned from this project are applicable to multi-sited research across the biological and behavioural sciences.
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Affiliation(s)
- Laure Spake
- Binghamton University (SUNY), Binghamton, NY, USA
| | - Anushé Hassan
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Nurul Alam
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Abena S. Amoah
- London School of Hygiene and Tropical Medicine, London, UK
- Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi
- Leiden University Medical Center, Leiden, The Netherlands
| | - Jainaba Badjie
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine (MRCG@LSHTM), Fajara, The Gambia
| | - Carla Cerami
- London School of Hygiene and Tropical Medicine, London, UK
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine (MRCG@LSHTM), Fajara, The Gambia
| | - Amelia Crampin
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
- University of Glasgow, Glasgow, UK
| | - Albert Dube
- Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi
| | - Miranda P. Kaye
- Pennsylvania State University, University Park, PA, USA
- University of Chicago, Chicago, IL, USA
| | - Renee Kotch
- Pennsylvania State University, University Park, PA, USA
| | - Frankie Liew
- London School of Hygiene and Tropical Medicine, London, UK
| | - Estelle McLean
- London School of Hygiene and Tropical Medicine, London, UK
- Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi
| | | | - Lusako Mwalwanda
- Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi
| | | | - Andrew M. Prentice
- London School of Hygiene and Tropical Medicine, London, UK
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine (MRCG@LSHTM), Fajara, The Gambia
| | - Fatema tuz Zohora
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Joseph Watts
- University of Chicago, Chicago, IL, USA
- University of Canterbury, Christchurch, New Zealand
| | - Rebecca Sear
- London School of Hygiene and Tropical Medicine, London, UK
| | - Mary K. Shenk
- Pennsylvania State University, University Park, PA, USA
| | | | - John H. Shaver
- University of Otago, Dunedin, New Zealand
- Baylor University, Waco, TX, USA
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2
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Simmonds EG, Adjei KP, Cretois B, Dickel L, González-Gil R, Laverick JH, Mandeville CP, Mandeville EG, Ovaskainen O, Sicacha-Parada J, Skarstein ES, O'Hara B. Recommendations for quantitative uncertainty consideration in ecology and evolution. Trends Ecol Evol 2024; 39:328-337. [PMID: 38030538 DOI: 10.1016/j.tree.2023.10.012] [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: 06/17/2023] [Revised: 09/13/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023]
Abstract
Ecological and evolutionary studies are currently failing to achieve complete and consistent reporting of model-related uncertainty. We identify three key barriers - a focus on parameter-related uncertainty, obscure uncertainty metrics, and limited recognition of uncertainty propagation - which have led to gaps in uncertainty consideration. However, these gaps can be closed. We propose that uncertainty reporting in ecology and evolution can be improved through wider application of existing statistical solutions and by adopting good practice from other scientific fields. Our recommendations include greater consideration of input data and model structure uncertainties, field-specific uncertainty standards for methods and reporting, and increased uncertainty propagation through the use of hierarchical models.
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Affiliation(s)
- Emily G Simmonds
- The Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim 7491, Norway; Institute for Biology, Norwegian University of Science and Technology, Trondheim 7491, Norway; Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK.
| | - Kwaku P Adjei
- The Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim 7491, Norway; Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim 7034, Norway
| | - Benjamin Cretois
- Norwegian Institute for Nature Research, Torgarden, Trondheim, Trøndelag 7485, Norway
| | - Lisa Dickel
- The Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim 7491, Norway; Institute for Biology, Norwegian University of Science and Technology, Trondheim 7491, Norway
| | - Ricardo González-Gil
- Observatorio Marino de Asturias (OMA), Departamento de Biología de Organismos y Sistemas, University of Oviedo, 33071 Oviedo, Spain; GOAL, Colonia Castaño Sur, Casa 1901, Calle Paseo Virgilio Zelaya Rubí, Tegucigalpa, Honduras, CA, USA
| | - Jack H Laverick
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow G1 1XH, UK
| | - Caitlin P Mandeville
- The Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim 7491, Norway; Department of Natural History, Norwegian University of Science and Technology, Trondheim, Trøndelag 7491, Norway
| | | | - Otso Ovaskainen
- The Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim 7491, Norway; Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki 00014, Finland; Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä 40014, Finland
| | - Jorge Sicacha-Parada
- Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim 7034, Norway
| | - Emma S Skarstein
- Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim 7034, Norway
| | - Bob O'Hara
- The Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim 7491, Norway; Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim 7034, Norway
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3
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Mantegna C. Ecologists: don't lose touch with the joy of fieldwork. Nature 2024; 628:692. [PMID: 38658681 DOI: 10.1038/d41586-024-01178-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
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4
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Farine DR. Modelling animal social networks: New solutions and future directions. J Anim Ecol 2024; 93:250-253. [PMID: 38234253 DOI: 10.1111/1365-2656.14049] [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: 12/22/2023] [Accepted: 01/04/2024] [Indexed: 01/19/2024]
Abstract
Research Highlight: Ross, C. T., McElreath, R., & Redhead, D. (2023). Modelling animal network data in R using STRAND. Journal of Animal Ecology. https://doi.org/10.1111/1365-2656.14021. One of the most important insights in ecology over the past decade has been that the social connections among animals affect a wide range of ecological and evolutionary processes. However, despite over 20 years of study effort on this topic, generating knowledge from data on social associations and interactions remains fraught with problems. Redhead et al. present an R package-STRAND-that extends the current animal social network analysis toolbox in two ways. First, they provide a simple R interfaces to implement generative network models, which are an alternative to regression approaches that draw inference by simulating the data-generating process. Second, they implement these models in a Bayesian framework, allowing uncertainty in the observation process to be carried through to hypothesis testing. STRAND therefore fills an important gap for hypothesis testing using network data. However, major challenges remain, and while STRAND represents an important advance, generating robust results continues to require careful study design, considerations in terms of statistical methods and a plurality of approaches.
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Affiliation(s)
- Damien R Farine
- Division of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
- Department of Evolutionary Biology and Environmental Science, University of Zurich, Zurich, Switzerland
- Department of Collective Behaviour, Max Planck Institute of Animal Behavior, Konstanz, Germany
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Owen JR, Kemp D, Lechner AM, Ang Li Ern M, Lèbre É, Mudd GM, Macklin MG, Saputra MRU, Witra T, Bebbington A. Increasing mine waste will induce land cover change that results in ecological degradation and human displacement. J Environ Manage 2024; 351:119691. [PMID: 38064991 DOI: 10.1016/j.jenvman.2023.119691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/10/2023] [Accepted: 11/21/2023] [Indexed: 01/14/2024]
Affiliation(s)
- John R Owen
- Centre for Development Support, University of the Free State, 205 Nelson Mandela Dr, Park West, Bloemfontein, 9301, South Africa.
| | - Deanna Kemp
- Centre for Social Responsibility in Mining, Sustainable Minerals Institute, The University of Queensland, Brisbane, QLD, 4072, Australia.
| | - Alex M Lechner
- Urban Transformations Hub, Monash University Indonesia, Green Office Park 9, The Breeze, BSD City, Tangerang Selatan, Banten, 15345, Indonesia.
| | - Michelle Ang Li Ern
- Landscape Ecology and Conservation Lab, School of Environmental and Geographical Sciences, University of Nottingham Malaysia, Semenyih, 43500, Malaysia.
| | - Éléonore Lèbre
- Sustainable Minerals Institute, The University of Queensland, Brisbane, QLD, 4072, Australia.
| | - Gavin M Mudd
- Environmental Engineering, School of Engineering, RMIT University, Melbourne, VIC, Australia.
| | - Mark G Macklin
- Lincoln Centre for Water and Planetary Health, School of Geography, University of Lincoln, Lincoln, LN6, 7TS, UK.
| | - Muhamad Risqi U Saputra
- Urban Transformations Hub, Monash University Indonesia, Green Office Park 9, The Breeze, BSD City, Tangerang Selatan, Banten, 15345, Indonesia.
| | - Tahjudil Witra
- Urban Transformations Hub, Monash University Indonesia, Green Office Park 9, The Breeze, BSD City, Tangerang Selatan, Banten, 15345, Indonesia.
| | - Anthony Bebbington
- Graduate School of Geography, Clark University, 950 Main St, Worcester, MA, 01610, USA.
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6
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Wang X, Zhang S, Ding Z, Hou H, Wu Q, Wang Y, Li Y. Carbon ecological security assessment based on the decoupling relationship between carbon balance pressure and ecological quality in Xuzhou City, China. Environ Sci Pollut Res Int 2024; 31:7428-7442. [PMID: 38159181 DOI: 10.1007/s11356-023-31703-1] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 12/20/2023] [Indexed: 01/03/2024]
Abstract
Building a carbon ecological security (CES) framework helps to scientifically evaluate and manage the regional carbon cycle and eco-environment and support regional ecological security patterns. This paper adopted the pressure-state-response-immune (PSRI) model and the carbon balance index method to evaluate the ecological quality and carbon balance pressure. Then, based on the decoupling model and the improved four-quadrant model, the CES framework was constructed to evaluate the changing trend of the CES of Xuzhou City from 2005 to 2020. The results showed that the carbon balance pressure of Xuzhou City showed a pattern of "low-high-low" from east to west, and most areas tended to have a carbon balance and surplus in 2020. The ecological quality showed an overall upward trend during the study period. Protection and restoration drove the response and immune index growth from 2010 to 2020. In the Thirteenth Five-Year Plan stage, the nine districts of Xuzhou City were in a stable decoupling state, and the overall decoupling process was ideal. The CES of districts showed individual differences in the general upward trend. The carbon balance pressure of Gulou and Quanshan Districts was the main factor restricting the districts' CES. Therefore, based on the empirical results, this research proposes relevant suggestions to enhance carbon ecological security to achieve regional green and low-carbon development.
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Affiliation(s)
- Xueqing Wang
- School of Public and Management, China University of Mining and Technology, Xuzhou, 221116, China.
| | - Shaoliang Zhang
- School of Environment and Surveying and Mapping, China University of Mining and Technology, Xuzhou, 221116, China
| | - Zhongyi Ding
- School of Public and Management, China University of Mining and Technology, Xuzhou, 221116, China
| | - Huping Hou
- School of Public and Management, China University of Mining and Technology, Xuzhou, 221116, China
| | - Qinyu Wu
- School of Public and Management, China University of Mining and Technology, Xuzhou, 221116, China
| | - Yuxin Wang
- School of Environment and Surveying and Mapping, China University of Mining and Technology, Xuzhou, 221116, China
| | - Yuanjie Li
- School of Public and Management, China University of Mining and Technology, Xuzhou, 221116, China
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7
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Peterman WE. One metric or many? Refining the analytical framework of landscape resistance estimation in individual-based landscape genetic analyses. Mol Ecol Resour 2024; 24:e13876. [PMID: 37819681 DOI: 10.1111/1755-0998.13876] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/19/2023] [Accepted: 09/27/2023] [Indexed: 10/13/2023]
Abstract
One of the allures of landscape genetics is the ability to leverage pairwise genetic distance metrics to infer how landscape features promote or constrain gene flow (i.e. landscape resistance surfaces). Critically, properly parameterized landscape resistance surfaces are foundational to applied conservation and management decisions. As such, there has been considerable effort expended assessing methods and metrics to estimate landscape resistance from genetic data (Balkenhol et al., Ecography, 32, 2009, 818; Peterman et al., Landsc. Ecol., 34, 2019, 2197; Shirk et al., Mol. Ecol. Resour., 17, 2017, 1308; Shirk et al., Mol. Ecol. Resour., 18, 2018, 55). Nonetheless, a primary challenge to assessing the effects of landscapes on gene flow is in the estimation of landscape resistance values, and this problem becomes increasingly challenging as more landscape features or land cover classes are considered. It quickly becomes infeasible to adequately assess the potential parameter space through manual or systematic assignment of resistance values. The development of ResistanceGA (Peterman, Methods Ecol. Evol., 9, 2018, 1638) provided a framework for using genetic algorithms to optimize landscape resistance values and identify the best statistical relationship between pairwise effective distances and genetic distances. ResistanceGA has seen extensive use in both population- and individual-based landscape genetic analyses. However, there has been relatively limited assessment of ResistanceGA's ability to identify the landscape features affecting gene flow (but see Peterman et al., Landsc. Ecol., 34, 2019, 2197; Winiarski et al., Mol. Ecol. Resour., 20, 2020, 1583) or the sensitivity of ResistanceGA results to the choice of genetic distance metric used. In the current issue of Molecular Ecology Resources, Beninde et al. (2023) aim to address these knowledge gaps by examining the impact of individual-based genetic distance measures on landscape genetic inference.
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Affiliation(s)
- William E Peterman
- School of Environment and Natural Resources, The Ohio State University, Columbus, Ohio, USA
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8
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Beninde J, Wittische J, Frantz AC. Quantifying uncertainty in inferences of landscape genetic resistance due to choice of individual-based genetic distance metric. Mol Ecol Resour 2024; 24:e13831. [PMID: 37475166 DOI: 10.1111/1755-0998.13831] [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: 03/15/2021] [Revised: 05/12/2023] [Accepted: 06/22/2023] [Indexed: 07/22/2023]
Abstract
Estimates of gene flow resulting from landscape resistance inferences frequently inform conservation management decision-making processes. Therefore, results must be robust across approaches and reflect real-world gene flow instead of methodological artefacts. Here, we tested the impact of 32 individual-based genetic distance metrics on the robustness and accuracy of landscape resistance modelling results. We analysed three empirical microsatellite datasets and 36 simulated datasets that varied in landscape resistance and genetic spatial autocorrelation. We used ResistanceGA to generate optimised multi-feature resistance surfaces for each of these datasets using 32 different genetic distance metrics. Results of the empirical dataset demonstrated that the choice of genetic distance metric can have strong impacts on inferred optimised resistance surfaces. Simulations showed accurate parametrisation of resistance surfaces across most genetic distance metrics only when a small number of environmental features was impacting gene flow. Landscape scenarios with many features impacting gene flow led to a generally poor recovery of true resistance surfaces. Simulation results also emphasise that choosing a genetic distance metric should not be based on marginal R2 -based model fit. Until more robust methods are available, resistance surfaces can be optimised with different genetic distance metrics and the convergence of results needs to be assessed via pairwise matrix correlations. Based on the results presented here, high correlation coefficients across different genetic distance categories likely indicate accurate inference of true landscape resistance. Most importantly, empirical results should be interpreted with great caution, especially when they appear counter-intuitive in light of the ecology of a species.
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Affiliation(s)
- Joscha Beninde
- LA Kretz Center for California Conservation Science, Institute of the Environment and Sustainability, University of California, Los Angeles, California, USA
- IUCN WCPA Connectivity Conservation Specialist Group, Gland, Switzerland
- Amsterdam Institute for Life and Environment (A-LIFE), Section Ecology and Evolution, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Julian Wittische
- Musée National d'Histoire Naturelle, Luxembourg City, Luxembourg
- The Fondation Faune-Flore, Luxembourg City, Luxembourg
| | - Alain C Frantz
- Musée National d'Histoire Naturelle, Luxembourg City, Luxembourg
- The Fondation Faune-Flore, Luxembourg City, Luxembourg
- The University of Sheffield, Sheffield, UK
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Zhang J, Zheng S, Sun Y, Yue H. Landscape ecological risk assessment of an ecological area in the Kubuqi desert based on Landsat remote sensing data. PLoS One 2023; 18:e0294584. [PMID: 37972083 PMCID: PMC10653519 DOI: 10.1371/journal.pone.0294584] [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: 06/14/2023] [Accepted: 11/05/2023] [Indexed: 11/19/2023] Open
Abstract
Conducting ecological risk assessment of fragile ecological landscapes is a prerequisite for building an ecological security pattern and a necessary consideration for sustainable development. Engebei ecological demonstration zone is a typical ecologically fragile area located in the Kubuqi Desert. To explore the ecological status of Engebei, an ecological risk assessment model is used to assess its ecological risk, and the spatial correlation analysis is conducted based on the Moran index. The optimal grain size is obtained through grain size effect analysis, which is the foundation of landscape pattern analysis. The landscape ecological risk assessment model is constructed by the landscape indexes. Based on the division of small ecological risk zones, a spatial correlation analysis of ecological risks is conducted on Engebei. Results manifest that: (1) Overall, from 2005 to 2021, its spatial distribution features of landscape ecological risk level are relatively-high and high in the middle, and gradually reduce in the north-south direction, as shown below: the relatively-low ecological risk areas are widely spread, and the overall risk index decrease from 0.1944 to 0.1940; the area of low and high-level ecological risk areas show a decreasing trend, which decrease by 5.0102 km2 and 1.3132 km2 respectively; the area of relatively-low, middle, and relatively-high-level ecological risk areas increase by 0.2655 km2, 3.7803 km2, and 2.4852 km2, respectively. (2) The ecological risk value is correlated positively with spatial distribution, and the spatial aggregation forms are primarily low-low and high-high. (3) The ecological risk values in Engebei have a significant spatial correlation, and the spatial distribution shows a clustering effect, which is consistent with the spatial distribution. The study has certain reference value for the development and comprehensive regulation of ecological construction in Engebei, even in other ecologically fragile areas.
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Affiliation(s)
- Jie Zhang
- Energy and Transportation Engineering College, Inner Mongolia Agricultural University, Hohhot, China
| | - Shulin Zheng
- Energy and Transportation Engineering College, Inner Mongolia Agricultural University, Hohhot, China
| | - Yi Sun
- Energy and Transportation Engineering College, Inner Mongolia Agricultural University, Hohhot, China
| | - Haijun Yue
- Energy and Transportation Engineering College, Inner Mongolia Agricultural University, Hohhot, China
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Loiseau B, Carrière SD, Jougnot D, Singha K, Mary B, Delpierre N, Guérin R, Martin-StPaul NK. The geophysical toolbox applied to forest ecosystems - A review. Sci Total Environ 2023; 899:165503. [PMID: 37454861 DOI: 10.1016/j.scitotenv.2023.165503] [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: 04/11/2023] [Revised: 07/10/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023]
Abstract
Studying the forest subsurface is a challenge because of its heterogeneous nature and difficult access. Traditional approaches used by ecologists to characterize the subsurface have a low spatial representativity. This review article illustrates how geophysical techniques can and have been used to get new insights into forest ecology. Near-surface geophysics offers a wide range of methods to characterize the spatial and temporal variability of subsurface properties in a non-destructive and integrative way, each with its own advantages and disadvantages. These techniques can be used alone or combined to take advantage of their complementarity. Our review led us to define three topics how near-surface geophysics can support forest ecology studies: 1) detection of root systems, 2) monitoring of water quantity and dynamics, and 3) characterisation of spatial heterogeneity in subsurface properties at the stand level. The number of forest ecology studies using near-surface geophysics is increasing and this multidisciplinary approach opens new opportunities and perspectives for improving quantitative assessment of biophysical properties and exploring forest response to the environment and adaptation to climate change.
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Affiliation(s)
- Bertille Loiseau
- UMR METIS, Sorbonne Université, UPMC, CNRS, EPHE, 75005 Paris, France.
| | - Simon D Carrière
- UMR METIS, Sorbonne Université, UPMC, CNRS, EPHE, 75005 Paris, France
| | - Damien Jougnot
- UMR METIS, Sorbonne Université, UPMC, CNRS, EPHE, 75005 Paris, France
| | - Kamini Singha
- Hydrologic Science and Engineering Program, Colorado School of Mines, Golden, CO 80401, USA
| | - Benjamin Mary
- Geoscience Department, University of Padova, 35100 Padova, Italy
| | - Nicolas Delpierre
- Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique et Evolution, 91405 Orsay, France; Institut Universitaire de France (IUF), France
| | - Roger Guérin
- UMR METIS, Sorbonne Université, UPMC, CNRS, EPHE, 75005 Paris, France
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11
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Zhang Z, Ge H, Li X, Huang X, Ma S, Bai Q. Spatiotemporal patterns and prediction of landscape ecological security in Xishuangbanna from 1996-2030. PLoS One 2023; 18:e0292875. [PMID: 37939128 PMCID: PMC10631692 DOI: 10.1371/journal.pone.0292875] [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: 05/21/2023] [Accepted: 09/29/2023] [Indexed: 11/10/2023] Open
Abstract
In recent years, the landscape ecological security of Xishuangbanna in southwest China has become an essential factor affecting the cross-border ecological security in South Asia and Southeast Asia. Based on the change of land use in Xishuangbanna, with the help of "3S" technology, landscape ecology theory, and gray prediction model, the spatial and developmental trends of landscape ecological security in Xishuangbanna from 1996-2030 could be determined. In more than 20 years, the woodland landscape area in Xishuangbanna decreased, and the fragmentation of construction land has increased overall. In 1996, the overall landscape ecological safety was good, with 63.5% of the total area of grade I and II. In 2003, the proportion of the grade I and grade II areas decreased, with landscape ecological security problems appearing. In 2010, the overall landscape ecological security area reached 74.5%, the largest proportion in more than 20 years. The grade V area accounted for only 9% and was mainly distributed on the border of Menghai County and central Jinghong City. In 2017, The grade IV and V areas was further increased, and the ecological security problem intensified. The prediction results showed that from 2023 to 2030, the regions of grades I and II increased, but the proportion of level V regions increased. Furthermore, the grade IV transformed to grade V rapidly, reaching its highest value in more than 20 years. From 1996 to 2030, the landscape ecological security space significantly evolved, showing an evident "east-south" trend in movement and eventually shifting to the southeast.
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Affiliation(s)
- Zhuoya Zhang
- Faculty of Geography and Ecotourism, Southwest Forestry University, Kunming, China
| | - Hailong Ge
- Faculty of Geography and Ecotourism, Southwest Forestry University, Kunming, China
| | - Xiaona Li
- Faculty of Geography and Ecotourism, Southwest Forestry University, Kunming, China
| | - Xiaoyuan Huang
- Faculty of Geography and Ecotourism, Southwest Forestry University, Kunming, China
| | - Siling Ma
- Faculty of Geography and Ecotourism, Southwest Forestry University, Kunming, China
| | - Qinfei Bai
- Faculty of Geography and Ecotourism, Southwest Forestry University, Kunming, China
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Chakraborty A. Expose limitations of SDGs rather than trying to save them. Nature 2023; 623:696. [PMID: 37989770 DOI: 10.1038/d41586-023-03606-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
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13
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Taylor L. Colombia begins sterilizing its invasive hippos: what scientists think. Nature 2023; 623:678. [PMID: 37949991 DOI: 10.1038/d41586-023-03516-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
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14
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Boyd RJ, August TA, Cooke R, Logie M, Mancini F, Powney GD, Roy DB, Turvey K, Isaac NJB. An operational workflow for producing periodic estimates of species occupancy at national scales. Biol Rev Camb Philos Soc 2023; 98:1492-1508. [PMID: 37062709 DOI: 10.1111/brv.12961] [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: 07/29/2022] [Revised: 03/31/2023] [Accepted: 04/03/2023] [Indexed: 04/18/2023]
Abstract
Policy makers require high-level summaries of biodiversity change. However, deriving such summaries from raw biodiversity data is a complex process involving several intermediary stages. In this paper, we describe an operational workflow for generating annual estimates of species occupancy at national scales from raw species occurrence data, which can be used to construct a range of policy-relevant biodiversity indicators. We describe the workflow in detail: from data acquisition, data assessment and data manipulation, through modelling, model evaluation, application and dissemination. At each stage, we draw on our experience developing and applying the workflow for almost a decade to outline the challenges that analysts might face. These challenges span many areas of ecology, taxonomy, data science, computing and statistics. In our case, the principal output of the workflow is annual estimates of occupancy, with measures of uncertainty, for over 5000 species in each of several defined 'regions' (e.g. countries, protected areas, etc.) of the UK from 1970 to 2019. This data product corresponds closely to the notion of a species distribution Essential Biodiversity Variable (EBV). Throughout the paper, we highlight methodologies that might not be applicable outside of the UK and suggest alternatives. We also highlight areas where the workflow can be improved; in particular, methods are needed to mitigate and communicate the risk of bias arising from the lack of representativeness that is typical of biodiversity data. Finally, we revisit the 'ideal' and 'minimal' criteria for species distribution EBVs laid out in previous contributions and pose some outstanding questions that should be addressed as a matter of priority. Going forward, we hope that this paper acts as a template for research groups around the world seeking to develop similar data products.
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Affiliation(s)
- Robin J Boyd
- UK Centre for Ecology and Hydrology, MacLean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
| | - Thomas A August
- UK Centre for Ecology and Hydrology, MacLean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
| | - Robert Cooke
- UK Centre for Ecology and Hydrology, MacLean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
| | - Mark Logie
- UK Centre for Ecology and Hydrology, MacLean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
| | - Francesca Mancini
- UK Centre for Ecology and Hydrology, MacLean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
| | - Gary D Powney
- UK Centre for Ecology and Hydrology, MacLean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
| | - David B Roy
- UK Centre for Ecology and Hydrology, MacLean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
| | - Katharine Turvey
- UK Centre for Ecology and Hydrology, MacLean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
| | - Nick J B Isaac
- UK Centre for Ecology and Hydrology, MacLean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
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15
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Oza A. Reproducibility trial: 246 biologists get different results from same data sets. Nature 2023; 622:677-678. [PMID: 37828216 DOI: 10.1038/d41586-023-03177-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
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16
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Nordling L. I tread the delicate line between culture and conservation. Nature 2023; 622:886. [PMID: 37872289 DOI: 10.1038/d41586-023-03304-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
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17
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Kimmel K, Avolio ML, Ferraro PJ. Empirical evidence of widespread exaggeration bias and selective reporting in ecology. Nat Ecol Evol 2023; 7:1525-1536. [PMID: 37537387 DOI: 10.1038/s41559-023-02144-3] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 06/28/2023] [Indexed: 08/05/2023]
Abstract
In many scientific disciplines, common research practices have led to unreliable and exaggerated evidence about scientific phenomena. Here we describe some of these practices and quantify their pervasiveness in recent ecology publications in five popular journals. In an analysis of over 350 studies published between 2018 and 2020, we detect empirical evidence of exaggeration bias and selective reporting of statistically significant results. This evidence implies that the published effect sizes in ecology journals exaggerate the importance of the ecological relationships that they aim to quantify. An exaggerated evidence base hinders the ability of empirical ecology to reliably contribute to science, policy, and management. To increase the credibility of ecology research, we describe a set of actions that ecologists should take, including changes to scientific norms about what high-quality ecology looks like and expectations about what high-quality studies can deliver.
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Affiliation(s)
- Kaitlin Kimmel
- Mad Agriculture, Boulder, CO, USA
- Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Meghan L Avolio
- Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Paul J Ferraro
- Carey Business School, Johns Hopkins University, Baltimore, MD, USA.
- Department of Environmental Health and Engineering, a joint department of the Bloomberg School of Public Health and the Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
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18
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Doser JW, Finley AO, Banerjee S. Joint species distribution models with imperfect detection for high-dimensional spatial data. Ecology 2023; 104:e4137. [PMID: 37424187 DOI: 10.1002/ecy.4137] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/26/2023] [Accepted: 06/13/2023] [Indexed: 07/11/2023]
Abstract
Determining the spatial distributions of species and communities is a key task in ecology and conservation efforts. Joint species distribution models are a fundamental tool in community ecology that use multi-species detection-nondetection data to estimate species distributions and biodiversity metrics. The analysis of such data is complicated by residual correlations between species, imperfect detection, and spatial autocorrelation. While many methods exist to accommodate each of these complexities, there are few examples in the literature that address and explore all three complexities simultaneously. Here we developed a spatial factor multi-species occupancy model to explicitly account for species correlations, imperfect detection, and spatial autocorrelation. The proposed model uses a spatial factor dimension reduction approach and Nearest Neighbor Gaussian Processes to ensure computational efficiency for data sets with both a large number of species (e.g., >100) and spatial locations (e.g., 100,000). We compared the proposed model performance to five alternative models, each addressing a subset of the three complexities. We implemented the proposed and alternative models in the spOccupancy software, designed to facilitate application via an accessible, well documented, and open-source R package. Using simulations, we found that ignoring the three complexities when present leads to inferior model predictive performance, and the impacts of failing to account for one or more complexities will depend on the objectives of a given study. Using a case study on 98 bird species across the continental US, the spatial factor multi-species occupancy model had the highest predictive performance among the alternative models. Our proposed framework, together with its implementation in spOccupancy, serves as a user-friendly tool to understand spatial variation in species distributions and biodiversity while addressing common complexities in multi-species detection-nondetection data.
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Affiliation(s)
- Jeffrey W Doser
- Department of Integrative Biology, Michigan State University, East Lansing, Michigan, USA
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, Michigan, USA
| | - Andrew O Finley
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, Michigan, USA
- Department of Forestry, Michigan State University, East Lansing, Michigan, USA
| | - Sudipto Banerjee
- Department of Biostatistics, University of California, Los Angeles, California, USA
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19
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Nordling L. Can oyster farming help save the planet? Nature 2023; 620:690. [PMID: 37580590 DOI: 10.1038/d41586-023-02560-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
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20
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Riva F, Graco-Roza C, Daskalova GN, Hudgins EJ, Lewthwaite JM, Newman EA, Ryo M, Mammola S. Toward a cohesive understanding of ecological complexity. Sci Adv 2023; 9:eabq4207. [PMID: 37343095 PMCID: PMC10284553 DOI: 10.1126/sciadv.abq4207] [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] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 05/17/2023] [Indexed: 06/23/2023]
Abstract
Ecological systems are quintessentially complex systems. Understanding and being able to predict phenomena typical of complex systems is, therefore, critical to progress in ecology and conservation amidst escalating global environmental change. However, myriad definitions of complexity and excessive reliance on conventional scientific approaches hamper conceptual advances and synthesis. Ecological complexity may be better understood by following the solid theoretical basis of complex system science (CSS). We review features of ecological systems described within CSS and conduct bibliometric and text mining analyses to characterize articles that refer to ecological complexity. Our analyses demonstrate that the study of complexity in ecology is a highly heterogeneous, global endeavor that is only weakly related to CSS. Current research trends are typically organized around basic theory, scaling, and macroecology. We leverage our review and the generalities identified in our analyses to suggest a more coherent and cohesive way forward in the study of complexity in ecology.
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Affiliation(s)
- Federico Riva
- Geomatics and Landscape Ecology Laboratory, Department of Biology, Carleton University, 1125 Colonel By Dr, Ottawa, Ontario K1S 5B6, Canada
- Insectarium, Montreal Space for Life, 4581 Sherbrooke St E, Montreal, Quebec H1X 2B2, Canada
- Spatial Ecology Group, Department of Ecology and Evolution, Université de Lausanne, Lausanne, Switzerland
| | - Caio Graco-Roza
- Aquatic Community Ecology Group, Department of Geosciences and Geography, University of Helsinki, Gustaf Hällströmin katu 2, 00560 Helsinki, Finland
- Laboratory of Ecology and Physiology of Phytoplankton, Department of Plant Biology, State University of Rio de Janeiro, Rua São Francisco Xavier 524, PHLC, Sala 511a, 20550-900 Rio de Janeiro, Brazil
| | - Gergana N. Daskalova
- Biodiversity and Ecology Group, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Emma J. Hudgins
- Geomatics and Landscape Ecology Laboratory, Department of Biology, Carleton University, 1125 Colonel By Dr, Ottawa, Ontario K1S 5B6, Canada
| | - Jayme M. M. Lewthwaite
- Marine and Environmental Biology, University of Southern California, 3616 Trousdale Pkwy, Los Angeles, CA 90089-0371, USA
| | - Erica A. Newman
- Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USA
| | - Masahiro Ryo
- Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Muencheberg, Germany
- Environment and Natural Sciences, Brandenburg University of Technology Cottbus-Senftenberg, 03046 Cottbus, Germany
| | - Stefano Mammola
- Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History (LUOMUS), University of Helsinki, Pohjoinen Rautatiekatu 13, Helsinki 00100, Finland
- Molecular Ecology Group (MEG), Water Research Institute (IRSA), National Research Council (CNR), Corso Tonolli, 50, Pallanza 28922, Italy
- National Biodiversity Future Center, Palermo, Italy
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21
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Lewis D. China is using satellites to police the protection of nature - but will it work? Nature 2023; 618:224-225. [PMID: 37237124 DOI: 10.1038/d41586-023-01714-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
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22
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UN high seas treaty is a landmark – but science needs to fill the gaps. Nature 2023; 615:373-374. [PMID: 36922614 DOI: 10.1038/d41586-023-00757-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
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23
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Dai J, Khan YA. Ecological environment pressure state and response system for coupling coordinate development: an application on china data. Environ Sci Pollut Res Int 2023; 30:25682-25690. [PMID: 36344890 DOI: 10.1007/s11356-022-23900-1] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
This research aims to develop an ecological carrying capacity index for the ecological environment under the principle of the pressure-state-response framework model and discusses the coupling coordination of ecological environment pressure, state, and response system of the urban region in china from 2011 to 2020. Furthermore, predicated the degree of security warning for each year while establishing the ecological carrying capacity index and the urban ecological coupling model. Results specify that the coordination degree of urban ecological development in Nanchang, Jiangxi has been improved year by year, the ecological carrying capacity security index shows an upward tendency from the overall view, and the security warning degree rises from comparative insecurity to comparative security. The analysis demonstrates that in the process of national ecological civilization construction demonstration zone construction, the ecological resources and environmental policies adopted by Nanchang city have played a great role in promoting ecological security. However, the ecological security index in Nanchang is still below 0.6, far from the high-security level (0.77), and the government and the public still need to do a lot to improve ecological security.
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Affiliation(s)
- Jiapeng Dai
- School of Government, Nanjing University, Nanjing, 210046, China
| | - Yousaf Ali Khan
- Department of Mathematics and Statistics, Hazara University Mansehra, Mansehra, Pakistan.
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24
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Yibo Y, Ziyuan C, Simayi Z, Haobo Y, Xiaodong Y, Shengtian Y. Dynamic evaluation and prediction of the ecological environment quality of the urban agglomeration on the northern slope of Tianshan Mountains. Environ Sci Pollut Res Int 2023; 30:25817-25835. [PMID: 36346520 DOI: 10.1007/s11356-022-23794-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] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
In order to timely determine the dynamic changes of the ecological environment quality and future development laws of the urban agglomeration on the northern slope of the Tianshan Mountains, combined with the actual situation of the urban agglomeration, 11 indicators were selected from the three aspects of natural ecology, social ecology, and economic ecology. To reduce the dimensions of the indicators, principal component analysis, coefficient of variation, and analytic hierarchy process were used based on RS and GIS technology methods, and the ecological environmental quality (EQI) from 2000 to 2018 was dynamically evaluated. Further, the CA-Markov model was introduced to simulate the development status in 2026 for predictive purposes. The main results are as follows: the overall ecological environment of the area exhibited a gradually improving distribution change from southwest to northeast; the proportion of ecological environment classification exhibited a gradually decreasing change pattern; the spatial differentiation of ecological environment quality exhibited a significant spatial positive correlation; from the influencing factors, an observation can be made that natural ecological factors were highly significant; the prediction accuracy verification revealed that the CA-Markov model was suitable for the prediction of the ecological environment quality in the region and had high accuracy; and the comprehensive regional ecological environment quality indexes were 5.7392, 6.1856, and 6.4366, respectively, while the forecasted value for 2026 was predicted to be 6.6285, indicating that the overall ecological environment quality of the region will improve and develop well. The present research results reveal the law of dynamic changes and future development of the ecological environment quality in the region, which can be used as a theoretical reference for the formulation of ecological environmental protection measures.
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Affiliation(s)
- Yan Yibo
- College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Smart City and Environmental Modelling for General Universities, College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Oasis Ecology, Ministry of Education Laboratory, Xinjiang University, Urumqi, 830046, Xinjiang, China
| | - Chai Ziyuan
- College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Smart City and Environmental Modelling for General Universities, College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Oasis Ecology, Ministry of Education Laboratory, Xinjiang University, Urumqi, 830046, Xinjiang, China
| | - Zibibula Simayi
- College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China.
- Key Laboratory of Smart City and Environmental Modelling for General Universities, College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China.
- Key Laboratory of Oasis Ecology, Ministry of Education Laboratory, Xinjiang University, Urumqi, 830046, Xinjiang, China.
| | - Yan Haobo
- School of Civil Engineering and Transportation, North China University of Water Resources and Electric Power, Henan, 450045, China
| | - Yang Xiaodong
- Sino-French Joint College of Ningbo University, Ningbo, 200231, Zhejiang, China
| | - Yang Shengtian
- College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Smart City and Environmental Modelling for General Universities, College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Oasis Ecology, Ministry of Education Laboratory, Xinjiang University, Urumqi, 830046, Xinjiang, China
- School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, 100875, China
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25
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Lan Y, Chen J, Yang Y, Ling M, You H, Han X. Landscape Pattern and Ecological Risk Assessment in Guilin Based on Land Use Change. Int J Environ Res Public Health 2023; 20:2045. [PMID: 36767413 PMCID: PMC9916009 DOI: 10.3390/ijerph20032045] [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] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/19/2023] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
The land use and ecological risk patterns in Guilin, which is the only innovation demonstration zone under the National Sustainable Development Agenda in China with a focus on the sustainable use of natural resources, have changed significantly as a result of the combined impact of climate change and human activities, thus presenting challenges to the sustainable development of the local area. This research employs an ecological risk assessment model and spatial analysis techniques in order to analyze the spatial correlation between land use and ecological risk, and to evaluate the spatial and temporal evolution characteristics of ecological risk at the overall and county scales in Guilin. The results reveal the following: (1) A total of 1848.6 km2 land types in Guilin have changed from 2000 to 2020, and construction land has gradually expanded from the central urban area to the suburbs with increasing internal stability each year. (2) The ecological risk level in Guilin showed a decreasing trend at the city scale, but some regions still showed an increasing trend at the county distribution scale. (3) The ecological risk value in Guilin has significant spatial correlation, and the spatial distribution showed a clustering effect, which was consistent with the spatial distribution of ecological risk class areas. The research results can provide a reference for ecological risk control and sustainable development of landscape resource cities.
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Affiliation(s)
- Yanping Lan
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
| | - Jianjun Chen
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
- Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China
| | - Yanping Yang
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
| | - Ming Ling
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
| | - Haotian You
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
- Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China
| | - Xiaowen Han
- College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
- Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China
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26
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Jurburg SD, Buscot F, Chatzinotas A, Chaudhari NM, Clark AT, Garbowski M, Grenié M, Hom EFY, Karakoç C, Marr S, Neumann S, Tarkka M, van Dam NM, Weinhold A, Heintz-Buschart A. The community ecology perspective of omics data. Microbiome 2022; 10:225. [PMID: 36510248 PMCID: PMC9746134 DOI: 10.1186/s40168-022-01423-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 11/10/2022] [Indexed: 06/17/2023]
Abstract
The measurement of uncharacterized pools of biological molecules through techniques such as metabarcoding, metagenomics, metatranscriptomics, metabolomics, and metaproteomics produces large, multivariate datasets. Analyses of these datasets have successfully been borrowed from community ecology to characterize the molecular diversity of samples (ɑ-diversity) and to assess how these profiles change in response to experimental treatments or across gradients (β-diversity). However, sample preparation and data collection methods generate biases and noise which confound molecular diversity estimates and require special attention. Here, we examine how technical biases and noise that are introduced into multivariate molecular data affect the estimation of the components of diversity (i.e., total number of different molecular species, or entities; total number of molecules; and the abundance distribution of molecular entities). We then explore under which conditions these biases affect the measurement of ɑ- and β-diversity and highlight how novel methods commonly used in community ecology can be adopted to improve the interpretation and integration of multivariate molecular data. Video Abstract.
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Affiliation(s)
- Stephanie D Jurburg
- Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany.
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
- Institute of Biology, Leipzig University, Leipzig, Germany.
| | - François Buscot
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Soil Ecology, Helmholtz Centre for Environmental Research- UFZ, Halle, Germany
| | - Antonis Chatzinotas
- Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biology, Leipzig University, Leipzig, Germany
| | - Narendrakumar M Chaudhari
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University, Jena, Germany
| | - Adam T Clark
- Institute of Biology, University of Graz, Graz, Austria
| | - Magda Garbowski
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Botany, University of Wyoming, Wyoming, USA
| | - Matthias Grenié
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biology, Leipzig University, Leipzig, Germany
| | - Erik F Y Hom
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Biology and Center for Biodiversity and Conservation Research, University of Mississippi, Oxford, Mississippi, USA
| | - Canan Karakoç
- Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Biology, Indiana University, Indiana, USA
| | - Susanne Marr
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biology, Geobotany and Botanical Garden, Martin Luther University Halle Wittenberg, Halle, Germany
- Leibniz Institute of Plant Biochemistry, Bioinformatics and Scientific Data, Halle, Germany
| | - Steffen Neumann
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Leibniz Institute of Plant Biochemistry, Bioinformatics and Scientific Data, Halle, Germany
| | - Mika Tarkka
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Soil Ecology, Helmholtz Centre for Environmental Research- UFZ, Halle, Germany
| | - Nicole M van Dam
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University, Jena, Germany
- Leibniz Institute of Vegetable and Ornamental Crops (IGZ), Großbeeren, Germany
| | - Alexander Weinhold
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University, Jena, Germany
| | - Anna Heintz-Buschart
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
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27
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Yang L, Zou K, Gao K, Jiang Z. A fuzzy DRBFNN-based information security risk assessment method in improving the efficiency of urban development. Math Biosci Eng 2022; 19:14232-14250. [PMID: 36654087 DOI: 10.3934/mbe.2022662] [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: 06/17/2023]
Abstract
The rapid development of urban informatization is an important way for cities to achieve a higher pattern, but the accompanying information security problem become a major challenge restricting the efficiency of urban development. Therefore, effective identification and assessment of information security risks has become a key factor to improve the efficiency of urban development. In this paper, an information security risk assessment method based on fuzzy theory and neural network technology is proposed to help identify and solve the information security problem in the development of urban informatization. Combined with the theory of information ecology, this method establishes an improved fuzzy neural network model from four aspects by using fuzzy theory, neural network model and DEMATEL method, and then constructs the information security risk assessment system of smart city. According to this method, this paper analyzed 25 smart cities in China, and provided suggestions and guidance for information security control in the process of urban informatization construction.
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Affiliation(s)
- Li Yang
- School of Public Administration, Xiangtan University, Xiangtan 411105, China
| | - Kai Zou
- School of Public Administration, Xiangtan University, Xiangtan 411105, China
| | - Kai Gao
- School of Public Administration, Xiangtan University, Xiangtan 411105, China
| | - Zhiyi Jiang
- School of Public Administration, Xiangtan University, Xiangtan 411105, China
- The Library of Xiangtan University, Xiangtan 411105, China
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Zhang X, Dong X, Liu F, Lv T, Wu Z, Ranagalage M. Spatiotemporal dynamics of ecological security in a typical conservation region of southern China based on catastrophe theory and GIS. Environ Monit Assess 2022; 195:90. [PMID: 36350456 DOI: 10.1007/s10661-022-10669-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 07/01/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
Ecological security assessment can effectively reflect the ecological status of a region and reveal its level of sustainable development. In this paper, an ecological security-oriented evaluation system was constructed, and the ecological security level of the Dongjiangyuan region from 2000 to 2020 was evaluated based on catastrophe theory and GIS. The results were as follows: (1) As shown in the land use and cover maps, by 2020, the forestland area had decreased the most, and the artificial surface area had increased the most. (2) The ecological security index of the Dongjiangyuan region showed a low trend in the artificial surface area and its surrounding areas. The quite low values of the ecological security index in 2000 and 2010 were improved in 2020 due to the increase in ecological services capacity. The increased vegetation cover from 2000 to 2020 promoted the improved ecological service capacity. (3) The rapid urbanization process in the Dongjiangyuan region resulted in a lower ecological sensitivity index value. Notably, the ecological sensitivity index of the study area had a slightly decreasing trend. (4) The spatial autocorrelation showed that the proportion of hot and cold spots from 2000 to 2020 decreased by 2.96% and 6.91%, respectively. This study can provide a scientific basis and decision-making guidance for ecological management in the Dongjiangyuan region in the future.
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Affiliation(s)
- Xinmin Zhang
- Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang, 330013, China.
| | - Xintong Dong
- Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang, 330013, China
| | - Fei Liu
- Center for Climate Change Adaption, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan
| | - Tiangui Lv
- Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang, 330013, China
- School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang, 330013, China
| | - Zhilong Wu
- Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang, 330013, China
| | - Manjula Ranagalage
- Faculty of Social Sciences and Humanities, Rajarata University of Sri Lanka, Mihintale, 50300, Sri Lanka
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Estes JA, Vermeij GJ. History's legacy: Why future progress in ecology demands a view of the past. Ecology 2022; 103:e3788. [PMID: 35718755 DOI: 10.1002/ecy.3788] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/04/2022] [Accepted: 05/16/2022] [Indexed: 11/06/2022]
Abstract
History has profoundly affected the composition, distribution, and abundances of species in contemporary ecosystems. A full understanding of how ecosystems work and change must therefore take history into account. We offer four well-studied examples illustrating how a knowledge of history has strengthened interpretations of modern systems: the development of molluscan antipredatory defenses in relation to shell-breaking predators; the North Pacific kelp ecosystem with sea otters, smaller predators, sea urchins, and large herbivores; estuarine ecosystems affected by the decline in oysters and other suspension feeders; and the legacy of extinct large herbivores and frugivores in tropical American forests. Many current ecological problems would greatly benefit from a historical perspective. We highlight four of these: soil depletion and tree stunting in forests related to the disappearance of large consumers; the spread of anoxic dead zones in the ocean, which we argue could be mitigated by restoring predator and suspension-feeding guilds; ocean acidification, which would be alleviated by more nutrient recycling by consumers in the aerobic ecosystem; and the relation between species diversity and keystone predators, a foundational concept that is complicated by simplified trophic relationships in modern ecosystems.
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Affiliation(s)
- James A Estes
- Ecology and Evolutionary Biology, University of California-Santa Cruz, Santa Cruz, California, USA
| | - Geerat J Vermeij
- Earth and Planetary Science, University of California-Davis, Davis, California, USA
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30
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Gao H, Song W. Assessing the Landscape Ecological Risks of Land-Use Change. Int J Environ Res Public Health 2022; 19:13945. [PMID: 36360824 PMCID: PMC9659079 DOI: 10.3390/ijerph192113945] [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] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 10/21/2022] [Accepted: 10/24/2022] [Indexed: 06/16/2023]
Abstract
In recent years, a changing global climate and the continuous expansion of the intensity and scope of human activities have led to regional differentiation in the surface landscape. This has caused numerous ecological risks under multiple pressure sources, gradually becoming an important factor restricting the sustainable development of economic and social health. With the continuous development of the social economy, land use and associated ecological risks will inevitably change. According to the forest transformation theory and the environmental Kuznets curve, we put forward the theoretical framework of ecological risk transformation of land-use change and took Zhangjiachuan County (China) as an example to verify it. Therefore, on the basis of Landsat satellite data, this paper used landscape structures to calculate an ecological risk index, and evaluated the ecological risk of land-use changes through pattern index analyses. The results show that, from 2000 to 2020, the ecological risk index of land-use change in Zhangjiachuan County exhibited an increasing and then decreasing trend, showing an overall "inverted U-shaped" trend of change consistent with the transformation theoretical framework of ecological risks of land use change. Secondly, in terms of patterns, the ecological risk of land-use change in Zhangjiachuan County showed a distribution feature of high in the west and low in the east. In 2000, high-risk areas were mainly concentrated in the central and northern areas, while low-risk areas were mainly concentrated in the eastern areas. From 2000 to 2015, the medium-risk areas expanded to the west and midwest, and the geographic centers of the risk areas were slightly offset. From 2015 to 2020, the overall pattern of ecological risk areas was basically the same as that of the previous stage, but the medium-risk areas were slightly reduced. In terms of quantity, from 2000 to 2015, the areas of the lowest risk level and low risk level decreased, while the areas of medium risk level, high risk level, and the highest risk level increased; from 2015 to 2020, the areas of the lowest risk level and low risk level increased, and the areas of medium risk level, high risk level, and highest risk level decreased. Lastly, the spatial aggregation of ecological risks in Zhangjiachuan County weakened slightly from 2000 to 2005, gradually increased from 2005 to 2015, and then slightly weakened from 2015 to 2020.
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Affiliation(s)
- He Gao
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- School of Geosciences, Yangtze University, Wuhan 430100, China
| | - Wei Song
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- Hebei Collaborative Innovation Center for Urban-Rural Integration Development, Shijiazhuang 050061, China
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Ao Y, Zhang MN, Zhao YH, Wang XF, Bai ZD, Jiang LF. [Relationship between economy and ecology of Pearl River Delta Urban Agglomeration based on ecological footprint of net primary productivity]. Ying Yong Sheng Tai Xue Bao 2022; 33:2001-2008. [PMID: 36052805 DOI: 10.13287/j.1001-9332.202207.027] [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] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
With the acceleration of regional economic integration, human activities have played an increasingly crucial role in regional sustainable development. In this study, MODIS remote sensing data and ecological footprint of net primary productivity (EF-NPP) were leveraged to calculate the equivalence factor and yield factor of the six major biologically productive land areas in the Pearl River Delta Urban Agglomeration. We analyzed the changes in per capita ecological footprint, per capita ecological carrying capacity, natural resource utilization efficiency and ecological moderate population from 2000 to 2020. Results showed that the per capita ecological footprint in the Pearl River Delta Urban Agglomeration continued to rise from 2000 to 2020. The ecological occupation of energy land was the highest. The ecological footprint was high in west, low in middle, and higher in northwest of the study area. The per capita ecological carrying capacity was relatively high in Zhaoqing and Jiangmen and low in Shenzhen, Dongguan, Foshan and Zhongshan. The gap between the ecological moderate population and the regional actual population widened over time, reaching 30.62 million in 2020. The regional actual population was much larger than the ecological moderate population, indicating huge population pressure. The natural resource utilization efficiency of the three main industries was high. The economic benefits created by the per capita ecological footprint increased by 36800 yuan·hm-2 during the research period, with an average annual growth rate of 1800 yuan·hm-2. The growth rate of the tertiary industry was the highest. Therefore, the results could provide reference for the study on natural resource utilization efficiency in medium and small-scale regions.
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Affiliation(s)
- Yong Ao
- School of Land Engineering, Chang'an University, Xi'an 710054, China
- Shaanxi Key Laboratory of Land Consolidation, Xi'an 710054, China
| | - Meng-Na Zhang
- School of Earth Science and Resource, Chang'an University, Xi'an 710054, China
| | - Yong-Hua Zhao
- School of Land Engineering, Chang'an University, Xi'an 710054, China
- Shaanxi Key Laboratory of Land Consolidation, Xi'an 710054, China
| | - Xiao-Feng Wang
- School of Land Engineering, Chang'an University, Xi'an 710054, China
- Shaanxi Key Laboratory of Land Consolidation, Xi'an 710054, China
| | - Zhao-di Bai
- School of Earth Science and Resource, Chang'an University, Xi'an 710054, China
| | - Ling-Feng Jiang
- School of Earth Science and Resource, Chang'an University, Xi'an 710054, China
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Wild TA, Koblitz JC, Dechmann DKN, Dietz C, Meboldt M, Wikelski M. Micro-sized open-source and low-cost GPS loggers below 1 g minimise the impact on animals while collecting thousands of fixes. PLoS One 2022; 17:e0267730. [PMID: 35767535 PMCID: PMC9242438 DOI: 10.1371/journal.pone.0267730] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 04/05/2022] [Indexed: 11/24/2022] Open
Abstract
GPS-enabled loggers have been proven as valuable tools for monitoring and understanding animal movement, behaviour and ecology. While the importance of recording accurate location estimates is well established, deployment on many, especially small species, has been limited by logger mass and cost. We developed an open-source and low-cost 0.65 g GPS logger with a simple smartphone-compatible user interface, that can record more than 10,000 GPS fixes on a single 30 mAh battery charge (resulting mass including battery: 1.3 g). This low-budget ‘TickTag’ (currently 32 USD) allows scientists to scale-up studies while becoming a ‘wearable’ for larger animals and simultaneously enabling high-definition studies on small animals. Tests on two different species (domestic dog, Canis lupus familiaris and greater mouse-eared bats, Myotis myotis) showed that our combination of optimised hardware design and software-based recording strategies increases the number of achievable GPS fixes per g device mass compared to existing micro-sized solutions. We propose that due to the open-source access, as well as low cost and mass, the TickTag fills a technological gap in wildlife ecology and will open up new possibilities for wildlife research and conservation.
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Affiliation(s)
- Timm A. Wild
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- Department of Biology, University of Konstanz, Konstanz, Germany
- Product Development Group Zurich (pd|z), ETH Zürich, Zürich, Switzerland
- * E-mail:
| | - Jens C. Koblitz
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- Department of Biology, University of Konstanz, Konstanz, Germany
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany
| | - Dina K. N. Dechmann
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- Department of Biology, University of Konstanz, Konstanz, Germany
| | | | - Mirko Meboldt
- Product Development Group Zurich (pd|z), ETH Zürich, Zürich, Switzerland
| | - Martin Wikelski
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- Department of Biology, University of Konstanz, Konstanz, Germany
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany
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Chen Y, Wang J, Kurbanov E, Thomas A, Sha J, Jiao Y, Zhou J. Ecological security assessment at different spatial scales in central Yunnan Province, China. PLoS One 2022; 17:e0270267. [PMID: 35763524 PMCID: PMC9239483 DOI: 10.1371/journal.pone.0270267] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 06/07/2022] [Indexed: 11/18/2022] Open
Abstract
Healthy ecosystems are the basis of social and economic development. It is of great significance to conduct ecological security assessments in rapidly urbanization areas. Based on the driving forces, pressure, state, impact, and response (DPSIR) model, five years (1995, 2000, 2005, 2010 and 2015) of remote sensing images, social and economic statistics, and field survey data were used to establish an ecological security assessment index system. The ecological security assessment of central Yunnan Province (CYP) urban agglomeration was conducted at the 1 km × 1 km pixel scale and at the county scale based on the multilevel weighted comprehensive index method. The results showed that: (1) With 2005 as the turning point, the ecological security situation in CYP first decreased and then increased. (2) The ecological security at the county scale was mainly categorized as unsafe. At the pixel scale, ecologically unsafe and relatively unsafe areas were mainly distributed in central, northern, and western CYP. (3) The ecological security deterioration and strengthened spatial distribution differences were caused by habitat fragmentation, different physical geographical conditions, and population agglomeration. These results can provide a basis for the coordination and sustainability of economic development and environmental protection in urban agglomerations with rapid urbanization.
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Affiliation(s)
- Yun Chen
- Faculty of Geography, Yunnan Normal University, Kunming, China
- Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
- Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming, China
- Remote Sensing Research Laboratory, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming, China
| | - Jinliang Wang
- Faculty of Geography, Yunnan Normal University, Kunming, China
- Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming, China
- Remote Sensing Research Laboratory, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming, China
- * E-mail:
| | - Eldar Kurbanov
- Center for Sustainable Forest Management and Remote Sensing, Volga State University of Technology, Yoshkar-Ola, Russia
| | | | - Jinming Sha
- College of Geographical Science, Fujian Normal University, Fuzhou, China
| | - Yuanmei Jiao
- Faculty of Geography, Yunnan Normal University, Kunming, China
- Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming, China
- Remote Sensing Research Laboratory, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming, China
| | - Jingchun Zhou
- Faculty of Geography, Yunnan Normal University, Kunming, China
- Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming, China
- Remote Sensing Research Laboratory, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming, China
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Cerutti-Pereyra F, Salinas-De-León P, Arnés-Urgellés C, Suarez-Moncada J, Espinoza E, Vaca L, Páez-Rosas D. Using stable isotopes analysis to understand ontogenetic trophic variations of the scalloped hammerhead shark at the Galapagos Marine Reserve. PLoS One 2022; 17:e0268736. [PMID: 35687546 PMCID: PMC9187089 DOI: 10.1371/journal.pone.0268736] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 05/02/2022] [Indexed: 11/25/2022] Open
Abstract
Changes in life-history requirements drive trophic variations, particularly in large marine predators. The life history of many shark species is still poorly known and understanding their dietary ontogeny is a challenging task, especially for highly migratory species. Stable isotope analysis has proven as a useful method for examining the foraging strategies of sharks and other marine predators. We assessed the foraging strategies and ontogenetic changes of scalloped hammerhead sharks, Sphyrna lewini, at Galapagos Marine Reserve (GMR), by analysing δ13C and δ15N signatures in different maturity stages. Our isotopic results suggest ontogenetic shifts in resource use between sub-adult and adult stages, but not between adult and juvenile stages. Carbon isotopic signatures found in the juvenile stage were enriched in contrast to sub-adults (~0.73‰) suggesting a combination of the maternal input and the use of coastal resources around the Galapagos Islands. Adult female sharks also showed enrichment in δ13C (~0.53‰) in comparison to sub-adult stages that suggest feeding in high primary productivity areas, such as the GMR. This study improves the understanding of the trophic ecology and ontogenetic changes of a highly migratory shark that moves across the protected and unprotected waters of the Eastern Tropical Pacific.
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Affiliation(s)
- Florencia Cerutti-Pereyra
- Charles Darwin Research Station, Charles Darwin Foundation, Puerto Ayora, Galapagos Islands, Ecuador
- * E-mail:
| | - Pelayo Salinas-De-León
- Charles Darwin Research Station, Charles Darwin Foundation, Puerto Ayora, Galapagos Islands, Ecuador
- Save Our Seas Foundation Shark Research Center and Guy Harvey Research Institute, Nova Southeastern University, Dania Beach, Florida, United States of America
| | - Camila Arnés-Urgellés
- Charles Darwin Research Station, Charles Darwin Foundation, Puerto Ayora, Galapagos Islands, Ecuador
| | | | - Eduardo Espinoza
- Galápagos National Park Directorate, Puerto Ayora, Galápagos, Ecuador
- Migramar Marine Research and Conservation Network, Olema, California, United States of America
| | - Leandro Vaca
- Galapagos Science Center, Universidad San Francisco de Quito, Puerto Baquerizo Moreno, Galápagos, Ecuador
| | - Diego Páez-Rosas
- Galapagos Science Center, Universidad San Francisco de Quito, Puerto Baquerizo Moreno, Galápagos, Ecuador
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Zhang Z, Xiong K, Chang H, Zhang W, Huang D. A Review of Eco-Product Value Realization and Ecological Civilization and Its Enlightenment to Karst Protected Areas. Int J Environ Res Public Health 2022; 19:ijerph19105892. [PMID: 35627431 PMCID: PMC9141932 DOI: 10.3390/ijerph19105892] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 05/08/2022] [Accepted: 05/11/2022] [Indexed: 11/21/2022]
Abstract
The current ecosystem services of karst protected areas cannot fully enhance human well-being, and the value of eco-products cannot be effectively realized. Research on eco-products and ecological civilization is conducive to the regional sustainability. The results of a statistical analysis of 258 related articles indicate: (1) the number of published articles has increased rapidly after slow growth, indicating that this research field has become a research hotspot and has broad research prospects; (2) the research content mainly involves five aspects, such as eco-product supply, eco-product value realization, eco-industry, ecological civilization, and monitoring and evaluation; (3) the articles research area is mainly distributed in the karst areas with a fragile ecological environment in China and the eco-product value realization and ecological civilization pilot areas; (4) the research frontiers are revealed from four aspects of eco-product supply ability, eco-product value realization, the driving force of eco-product value realization on the formation of eco-industry, model and effectiveness of ecological civilization; (5) it is necessary to deepen the research on the improvement mechanism of eco-product supply capacity, the classification systems and value accounting standards of eco-products, the formation mechanism of eco-industries under ecological threshold constraints and the driving mechanism of eco-industry to ecological civilization.
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Affiliation(s)
- Zhenzhen Zhang
- School of Karst Science, Guizhou Normal University, Guiyang 550001, China; (Z.Z.); (H.C.); (W.Z.); (D.H.)
- State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China
| | - Kangning Xiong
- School of Karst Science, Guizhou Normal University, Guiyang 550001, China; (Z.Z.); (H.C.); (W.Z.); (D.H.)
- State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China
- Correspondence:
| | - Huanhuan Chang
- School of Karst Science, Guizhou Normal University, Guiyang 550001, China; (Z.Z.); (H.C.); (W.Z.); (D.H.)
- State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China
| | - Wenxiu Zhang
- School of Karst Science, Guizhou Normal University, Guiyang 550001, China; (Z.Z.); (H.C.); (W.Z.); (D.H.)
- State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China
| | - Denghong Huang
- School of Karst Science, Guizhou Normal University, Guiyang 550001, China; (Z.Z.); (H.C.); (W.Z.); (D.H.)
- State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China
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Cavedon M, vonHoldt B, Hebblewhite M, Hegel T, Heppenheimer E, Hervieux D, Mariani S, Schwantje H, Steenweg R, Theoret J, Watters M, Musiani M. Genomic legacy of migration in endangered caribou. PLoS Genet 2022; 18:e1009974. [PMID: 35143486 PMCID: PMC8830729 DOI: 10.1371/journal.pgen.1009974] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 12/01/2021] [Indexed: 11/18/2022] Open
Abstract
Wide-ranging animals, including migratory species, are significantly threatened by the effects of habitat fragmentation and habitat loss. In the case of terrestrial mammals, this results in nearly a quarter of species being at risk of extinction. Caribou are one such example of a wide-ranging, migratory, terrestrial, and endangered mammal. In populations of caribou, the proportion of individuals considered as "migrants" can vary dramatically. There is therefore a possibility that, under the condition that migratory behavior is genetically determined, those individuals or populations that are migratory will be further impacted by humans, and this impact could result in the permanent loss of the migratory trait in some populations. However, genetic determination of migration has not previously been studied in an endangered terrestrial mammal. We examined migratory behavior of 139 GPS-collared endangered caribou in western North America and carried out genomic scans for the same individuals. Here we determine a genetic subdivision of caribou into a Northern and a Southern genetic cluster. We also detect >50 SNPs associated with migratory behavior, which are in genes with hypothesized roles in determining migration in other organisms. Furthermore, we determine that propensity to migrate depends upon the proportion of ancestry in individual caribou, and thus on the evolutionary history of its migratory and sedentary subspecies. If, as we report, migratory behavior is influenced by genes, caribou could be further impacted by the loss of the migratory trait in some isolated populations already at low numbers. Our results indicating an ancestral genetic component also suggest that the migratory trait and their associated genetic mutations could not be easily re-established when lost in a population.
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Affiliation(s)
- Maria Cavedon
- Faculty of Environmental Design, University of Calgary, Calgary, Alberta, Canada
| | - Bridgett vonHoldt
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America
| | - Mark Hebblewhite
- Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, College of Forestry and Conservation, University of Montana, Missoula, Montana, United States of America
| | - Troy Hegel
- Yukon Department of Environment, Whitehorse, Yukon, Canada
| | - Elizabeth Heppenheimer
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America
| | - Dave Hervieux
- Fish and Wildlife Stewardship Branch, Alberta Environment and Parks, Grande Prairie, Alberta, Canada
| | - Stefano Mariani
- School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, United Kingdom
| | - Helen Schwantje
- Wildlife and Habitat Branch, Ministry of Forests, Lands, Natural Resource Operations and Rural Development, Government of British Columbia, Nanaimo, British Columbia, Canada
| | - Robin Steenweg
- Pacific Region, Canadian Wildlife Service, Environment and Climate Change Canada, Delta, British Columbia, Canada
| | - Jessica Theoret
- Faculty of Environmental Design, University of Calgary, Calgary, Alberta, Canada
| | - Megan Watters
- Land and Resource Specialist, Fort St. John, British Columbia, Canada
| | - Marco Musiani
- Department of Biological Sciences, Faculty of Science and Veterinary Medicine (Joint Appointment), University of Calgary, Calgary, Alberta, Canada
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Pratt CJ, Denley D, Metaxas A. Selection of predictor variables for species distribution models: a case study with an invasive marine bryozoan. Oecologia 2022; 198:319-336. [PMID: 35080649 DOI: 10.1007/s00442-022-05110-1] [Citation(s) in RCA: 2] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 01/09/2022] [Indexed: 12/11/2022]
Abstract
Species distribution models (SDMs) are important tools for predicting the occurrence and abundance of organisms in space and time, with numerous applications in ecology. However, the accuracy and utility of SDMs can be compromised when predictor variables are selected without careful consideration of their ecophysiological relevance to the focal organism. We conducted an in-depth examination of the variable selection process by evaluating predictors to be used in SDMs for Membranipora membranacea, an ecologically significant marine invasive species with a complex lifecycle, as a case study. Using an information-theoretic and multi-model inference approach based on generalized linear mixed models, we assessed multiple environmental variables (depth, kelp density, kelp substrate, temperature, and wave exposure) as predictors of the abundance of multiple life stages of M. membranacea, investigating species-environment relationships and relative and absolute variable importance. We found that the relative importance of a predictor, the metric calculated to represent a predictor, and whether a predictor was proximal or distal were important considerations in the variable selection process. Data constraints (e.g. sample size, characteristics of available predictor data) may inhibit accurate assessment of predictor variables during variable selection. Importantly, our results suggest that species-environment relationships derived from small-scale studies can inform variable selection for SDMs at larger spatiotemporal scales. We developed a conceptual framework for variable selection for SDMs which can be applied to most contexts of species distribution modelling, but particularly those with several candidate predictors and a large dataset.
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Affiliation(s)
- Conrad James Pratt
- Department of Oceanography, Dalhousie University, Halifax, NS, B3H 4R2, Canada.
| | - Danielle Denley
- School of Resource and Environmental Management, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
| | - Anna Metaxas
- Department of Oceanography, Dalhousie University, Halifax, NS, B3H 4R2, Canada
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Northrup JM, Vander Wal E, Bonar M, Fieberg J, Laforge MP, Leclerc M, Prokopenko CM, Gerber BD. Conceptual and methodological advances in habitat-selection modeling: guidelines for ecology and evolution. Ecol Appl 2022; 32:e02470. [PMID: 34626518 PMCID: PMC9285351 DOI: 10.1002/eap.2470] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 05/17/2021] [Indexed: 06/13/2023]
Abstract
Habitat selection is a fundamental animal behavior that shapes a wide range of ecological processes, including animal movement, nutrient transfer, trophic dynamics and population distribution. Although habitat selection has been a focus of ecological studies for decades, technological, conceptual and methodological advances over the last 20 yr have led to a surge in studies addressing this process. Despite the substantial literature focused on quantifying the habitat-selection patterns of animals, there is a marked lack of guidance on best analytical practices. The conceptual foundations of the most commonly applied modeling frameworks can be confusing even to those well versed in their application. Furthermore, there has yet to be a synthesis of the advances made over the last 20 yr. Therefore, there is a need for both synthesis of the current state of knowledge on habitat selection, and guidance for those seeking to study this process. Here, we provide an approachable overview and synthesis of the literature on habitat-selection analyses (HSAs) conducted using selection functions, which are by far the most applied modeling framework for understanding the habitat-selection process. This review is purposefully non-technical and focused on understanding without heavy mathematical and statistical notation, which can confuse many practitioners. We offer an overview and history of HSAs, describing the tortuous conceptual path to our current understanding. Through this overview, we also aim to address the areas of greatest confusion in the literature. We synthesize the literature outlining the most exciting conceptual advances in the field of habitat-selection modeling, discussing the substantial ecological and evolutionary inference that can be made using contemporary techniques. We aim for this paper to provide clarity for those navigating the complex literature on HSAs while acting as a reference and best practices guide for practitioners.
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Affiliation(s)
- Joseph M Northrup
- Wildlife Research and Monitoring Section, Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry, Peterborough, Ontario, K9L 1Z8, Canada
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, K9L 1Z8, Canada
| | - Eric Vander Wal
- Department of Biology, Memorial University of Newfoundland, St. John's, Newfoundland, A1B 3X9, Canada
| | - Maegwin Bonar
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, K9L 1Z8, Canada
| | - John Fieberg
- Department of Fisheries, Wildlife and Conservation Biology, University of Minnesota, St. Paul, Minnesota, USA
| | - Michel P Laforge
- Department of Biology, Memorial University of Newfoundland, St. John's, Newfoundland, A1B 3X9, Canada
| | - Martin Leclerc
- Département de Biologie, Caribou Ungava and Centre d'études nordiques, Université Laval, Québec, Québec, G1V 0A6, Canada
| | - Christina M Prokopenko
- Department of Biology, Memorial University of Newfoundland, St. John's, Newfoundland, A1B 3X9, Canada
| | - Brian D Gerber
- Department of Natural Resources Science, University of Rhode Island, Kingston, Rhode Island, USA
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Lupon A, Rodríguez-Lozano P, Bartrons M, Anadon-Rosell A, Batalla M, Bernal S, Bravo AG, Capdevila P, Cañedo-Argüelles M, Catalán N, Genua-Olmedo A, Gutiérrez-Cánovas C, Feio MJ, Lucati F, Onandia G, Poblador S, Rotchés-Ribalta R, Sala-Bubaré A, Sánchez-Montoya MM, Sebastián M, Zufiaurre A, Pastor A. Towards women-inclusive ecology: Representation, behavior, and perception of women at an international conference. PLoS One 2021; 16:e0260163. [PMID: 34890389 PMCID: PMC8664204 DOI: 10.1371/journal.pone.0260163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 11/03/2021] [Indexed: 12/01/2022] Open
Abstract
Conferences are ideal platforms for studying gender gaps in science because they are important cultural events that reflect barriers to women in academia. Here, we explored women’s participation in ecology conferences by analyzing female representation, behavior, and personal experience at the 1st Meeting of the Iberian Society of Ecology (SIBECOL). The conference had 722 attendees, 576 contributions, and 27 scientific sessions. The gender of attendees and presenters was balanced (48/52% women/men), yet only 29% of the contributions had a woman as last author. Moreover, men presented most of the keynote talks (67%) and convened most of the sessions. Our results also showed that only 32% of the questions were asked by women, yet the number of questions raised by women increased when the speaker or the convener was a woman. Finally, the post-conference survey revealed that attendees had a good experience and did not perceive the event as a threatening context for women. Yet, differences in the responses between genders suggest that women tended to have a worse experience than their male counterparts. Although our results showed clear gender biases, most of the participants of the conference failed to detect it. Overall, we highlight the challenge of increasing women’s scientific leadership, visibility and interaction in scientific conferences and we suggest several recommendations for creating inclusive meetings, thereby promoting equal opportunities for all participants.
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Affiliation(s)
- Anna Lupon
- Integrative Freshwater Ecology Group, Centre d’Estudis Avançats de Blanes (CEAB-CSIC), Blanes, Spain
- * E-mail:
| | - Pablo Rodríguez-Lozano
- Department of Geography, University of the Balearic Islands, Palma, Spain
- Department of Environmental Science, Policy, and Management, University of California at Berkeley, Berkeley, California, United States of America
| | - Mireia Bartrons
- Aquatic Ecology Group, University of Vic—Central University of Catalonia (Uvic-UCC), Vic, Spain
| | - Alba Anadon-Rosell
- Landscape Ecology and Ecosystem Dynamics, Institute of Botany and Landscape Ecology, University of Greifswald, Greifswald, Germany
- CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
| | | | - Susana Bernal
- Integrative Freshwater Ecology Group, Centre d’Estudis Avançats de Blanes (CEAB-CSIC), Blanes, Spain
| | - Andrea G. Bravo
- Department of Marine Biology and Oceanography, Institut de Ciències del Mar (ICM-CSIC), Barcelona, Spain
| | - Pol Capdevila
- School of Biological Sciences, University of Bristol, Bristol, United Kingdom
- Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Miguel Cañedo-Argüelles
- FEHM-Lab, Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Institut de Recerca de l’Aigua (IdRA), Universitat de Barcelona, Barcelona, Spain
| | - Núria Catalán
- Laboratoire des Sciences du Climat et de l’Environnement, LSCE, CNRS-UMR 8212, Gif Sur Yvette, France
| | - Ana Genua-Olmedo
- Centre for Environmental and Marine Studies (CESAM), Department of Biology, University of Aveiro, Aveiro, Portugal
| | | | - Maria João Feio
- Department of Life Sciences, MARE-Marine and Environmental Sciences Centre, University of Coimbra, Coimbra, Portugal
| | - Federica Lucati
- Integrative Freshwater Ecology Group, Centre d’Estudis Avançats de Blanes (CEAB-CSIC), Blanes, Spain
- Centre for Ecology, Evolution and Environmental Changes (cE3c), University of Lisbon, Lisbon, Portugal
- Department of Political and Social Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Gabriela Onandia
- Research Platform Data Analysis and Simulation, Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Sílvia Poblador
- Plants and Ecosystems (PLECO), Biology Department, University of Antwerp, Wilrijk, Belgium
| | | | - Anna Sala-Bubaré
- Faculty of Psychology, Education and Sports Sciences Blanquerna, Ramon Llull University, Barcelona, Spain
| | - María Mar Sánchez-Montoya
- Department of Ecology and Hydrology, International Excellence Campus for Higher Education and Research of the University of Murcia, Murcia, Spain
- Department of Biodiversity, Ecology, and Evolution, Faculty of Biological Sciences, Complutense University of Madrid, Madrid, Spain
| | - Marta Sebastián
- Department of Marine Biology and Oceanography, Institut de Ciències del Mar (ICM-CSIC), Barcelona, Spain
| | - Aitziber Zufiaurre
- CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
- Área de Biodiversidad, Gestión Ambiental de Navarra-Nafarroako Ingurumen Kudeaketa (GAN-NIK), Pamplona-Iruñea, Navarra
| | - Ada Pastor
- Department of Biology, Aarhus University, Aarhus, Denmark
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Liu G, Zhang S, Zhao X, Li C, Gong M. Advances and Limitations of Next Generation Sequencing in Animal Diet Analysis. Genes (Basel) 2021; 12:genes12121854. [PMID: 34946803 PMCID: PMC8701983 DOI: 10.3390/genes12121854] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/17/2021] [Accepted: 11/18/2021] [Indexed: 02/07/2023] Open
Abstract
Diet analysis is a critical content of animal ecology and the diet analysis methods have been constantly improving and updating. Contrary to traditional methods of high labor intensity and low resolution, the next generation sequencing (NGS) approach has been suggested as a promising tool for dietary studies, which greatly improves the efficiency and broadens the application range. Here we present a framework of adopting NGS and DNA metabarcoding into diet analysis, and discuss the application in aspects of prey taxa composition and structure, intra-specific and inter-specific trophic links, and the effects of animal feeding on environmental changes. Yet, the generation of NGS-based diet data and subsequent analyses and interpretations are still challenging with several factors, making it possible still not as widely used as might be expected. We suggest that NGS-based diet methods must be furthered, analytical pipelines should be developed. More application perspectives, including nutrient geometry, metagenomics and nutrigenomics, need to be incorporated to encourage more ecologists to infer novel insights on they work.
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Affiliation(s)
- Gang Liu
- Key Laboratory of Wetland Ecological Function and Restoration in Beijing City, Wetland Research Institute of Chinese Academy of Forestry Sciences, Beijing 100091, China; (G.L.); (X.Z.); (C.L.)
| | - Shumiao Zhang
- Beijing Milu Ecological Research Center, Beijing 100076, China;
| | - Xinsheng Zhao
- Key Laboratory of Wetland Ecological Function and Restoration in Beijing City, Wetland Research Institute of Chinese Academy of Forestry Sciences, Beijing 100091, China; (G.L.); (X.Z.); (C.L.)
| | - Chao Li
- Key Laboratory of Wetland Ecological Function and Restoration in Beijing City, Wetland Research Institute of Chinese Academy of Forestry Sciences, Beijing 100091, China; (G.L.); (X.Z.); (C.L.)
| | - Minghao Gong
- Key Laboratory of Wetland Ecological Function and Restoration in Beijing City, Wetland Research Institute of Chinese Academy of Forestry Sciences, Beijing 100091, China; (G.L.); (X.Z.); (C.L.)
- Correspondence: ; Tel.: +86-010-62884159
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Abstract
Plant-pathogens and insect pests, hereafter pests, play an important role in structuring ecological communities, yet both native and introduced pests impose significant pressure on wild and managed systems, and pose a threat to food security. Global changes in climate and land use, and transportation of plants and pests around the globe are likely to further increase the range, frequency and severity of pest outbreaks in the future. Thus, there is a critical need to expand on current ecological theory to address these challenges. Here, we outline a phylogenetic framework for the study of plant and pest interactions. In plants, a growing body of work has suggested that evolutionary relatedness, phylogeny, strongly structures plant-pest associations-from pest host breadths and impacts, to their establishment and spread in new regions. Understanding the phylogenetic dimensions of plant-pest associations will help to inform models of invasive species spread, disease and pest risk in crops, and emerging pest outbreaks in native plant communities-which will have important implications for protecting food security and biodiversity into the future. This article is part of the theme issue 'Infectious disease macroecology: parasite diversity and dynamics across the globe'.
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Affiliation(s)
- Andrew V. Gougherty
- Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada
| | - T. Jonathan Davies
- Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada
- African Centre for DNA Barcoding, University of Johannesburg, Johannesburg 2092, South Africa
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Altieri A, Roy F, Cammarota C, Biroli G. Properties of Equilibria and Glassy Phases of the Random Lotka-Volterra Model with Demographic Noise. Phys Rev Lett 2021; 126:258301. [PMID: 34241496 DOI: 10.1103/physrevlett.126.258301] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 02/06/2021] [Accepted: 05/17/2021] [Indexed: 06/13/2023]
Abstract
We study a reference model in theoretical ecology, the disordered Lotka-Volterra model for ecological communities, in the presence of finite demographic noise. Our theoretical analysis, valid for symmetric interactions, shows that for sufficiently heterogeneous interactions and low demographic noise the system displays a multiple equilibria phase, which we fully characterize. In particular, we show that in this phase the number of locally stable equilibria is exponential in the number of species. Upon further decreasing the demographic noise, we unveil the presence of a second transition like the so-called "Gardner" transition to a marginally stable phase similar to that observed in the jamming of amorphous materials. We confirm and complement our analytical results by numerical simulations. Furthermore, we extend their relevance by showing that they hold for other interacting random dynamical systems such as the random replicant model. Finally, we discuss their extension to the case of asymmetric couplings.
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Affiliation(s)
- Ada Altieri
- Laboratoire de Physique de l'École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris F-75005 Paris, France
- Laboratoire Matière et Systèmes Complexes (MSC), Université de Paris & CNRS, 75013 Paris, France
| | - Felix Roy
- Laboratoire de Physique de l'École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris F-75005 Paris, France
- Institut de physique théorique, Université Paris Saclay, CEA, CNRS, F-91191 Gif-sur-Yvette, France
| | - Chiara Cammarota
- Dipartimento di Fisica, Universitá "Sapienza," Piazzale A. Moro 2, I-00185 Rome, Italy
- Department of Mathematics, King's College London, Strand London WC2R 2LS, United Kingdom
| | - Giulio Biroli
- Laboratoire de Physique de l'École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris F-75005 Paris, France
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Mori N, Noge K. Recent advances in chemical ecology: complex interactions mediated by molecules. Biosci Biotechnol Biochem 2021; 85:33-41. [PMID: 33577654 DOI: 10.1093/bbb/zbaa034] [Citation(s) in RCA: 3] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 09/30/2020] [Indexed: 12/15/2022]
Abstract
Chemical ecology is the highly interdisciplinary study of biochemicals that mediate the behavior of organisms and the regulation of physiological changes that alter intraspecific and/or interspecific interactions. Significant advances are often achieved through the collaboration of chemists and biologists working to understand organismal survival strategies with an eye on the development of targeted technologies for controlling agricultural, forestry, medical, and veterinary pests in a sustainable world. We highlight recent advances in chemical ecology from multiple viewpoints and discuss future prospects for applications.
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Affiliation(s)
- Naoki Mori
- Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Sakyo, Kyoto, Japan
| | - Koji Noge
- Department of Biological Production, Faculty of Bioresource Sciences, Akita Prefectural University, Shimoshinjyo-Nakano, Akita, Japan
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44
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Robuchon M, Pavoine S, Véron S, Delli G, Faith DP, Mandrici A, Pellens R, Dubois G, Leroy B. Revisiting species and areas of interest for conserving global mammalian phylogenetic diversity. Nat Commun 2021; 12:3694. [PMID: 34140481 PMCID: PMC8211746 DOI: 10.1038/s41467-021-23861-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 05/11/2021] [Indexed: 02/05/2023] Open
Abstract
Various prioritisation strategies have been developed to cope with accelerating biodiversity loss and limited conservation resources. These strategies could become more engaging for decision-makers if they reflected the positive effects conservation can have on future projected biodiversity, by targeting net positive outcomes in future projected biodiversity, rather than reflecting the negative consequences of further biodiversity losses only. Hoping to inform the post-2020 biodiversity framework, we here apply this approach of targeting net positive outcomes in future projected biodiversity to phylogenetic diversity (PD) to re-identify species and areas of interest for conserving global mammalian PD. We identify priority species/areas as those whose protection would maximise gains in future projected PD. We also identify loss-significant species/areas as those whose/where extinction(s) would maximise losses in future projected PD. We show that our priority species/areas differ from loss-significant species/areas. While our priority species are mostly similar to those identified by the EDGE of Existence Programme, our priority areas generally differ from previously-identified ones for global mammal conservation. We further highlight that these newly-identified species/areas of interest currently lack protection and offer some guidance for their future management.
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Affiliation(s)
- Marine Robuchon
- Centre d'Ecologie et des Sciences de la Conservation (CESCO), Muséumnational d'Histoire naturelle, Centre National de la Recherche Scientifique, Sorbonne Université, Paris, France.
- Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Muséum national d'Histoire naturelle, Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Sorbonne Université, Université Caen-Normandie, Université des Antilles, Paris, France.
- Joint Research Centre (JRC) of the European Commission, Directorate for Sustainable Resources, Ispra (VA), Italy.
| | - Sandrine Pavoine
- Centre d'Ecologie et des Sciences de la Conservation (CESCO), Muséumnational d'Histoire naturelle, Centre National de la Recherche Scientifique, Sorbonne Université, Paris, France
| | - Simon Véron
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d'Histoire naturelle, Centre National de la Recherche Scientifique, Sorbonne Université, Ecole Pratique des Hautes Etudes, Université des Antilles, Paris, France
| | - Giacomo Delli
- Joint Research Centre (JRC) of the European Commission, Directorate for Sustainable Resources, Ispra (VA), Italy
| | | | - Andrea Mandrici
- Joint Research Centre (JRC) of the European Commission, Directorate for Sustainable Resources, Ispra (VA), Italy
| | - Roseli Pellens
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d'Histoire naturelle, Centre National de la Recherche Scientifique, Sorbonne Université, Ecole Pratique des Hautes Etudes, Université des Antilles, Paris, France
| | - Grégoire Dubois
- Joint Research Centre (JRC) of the European Commission, Directorate for Sustainable Resources, Ispra (VA), Italy
| | - Boris Leroy
- Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Muséum national d'Histoire naturelle, Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Sorbonne Université, Université Caen-Normandie, Université des Antilles, Paris, France
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Liu S, Kruse S, Scherler D, Ree RH, Zimmermann HH, Stoof-Leichsenring KR, Epp LS, Mischke S, Herzschuh U. Sedimentary ancient DNA reveals a threat of warming-induced alpine habitat loss to Tibetan Plateau plant diversity. Nat Commun 2021; 12:2995. [PMID: 34016962 PMCID: PMC8137883 DOI: 10.1038/s41467-021-22986-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 03/16/2021] [Indexed: 11/19/2022] Open
Abstract
Studies along elevational gradients worldwide usually find the highest plant taxa richness in mid-elevation forest belts. Hence, an increase in upper elevation diversity is expected in the course of warming-related treeline rise. Here, we use a time-series approach to infer past taxa richness from sedimentary ancient DNA from the south-eastern Tibetan Plateau over the last ~18,000 years. We find the highest total plant taxa richness during the cool phase after glacier retreat when the area contained extensive and diverse alpine habitats (14-10 ka); followed by a decline when forests expanded during the warm early- to mid-Holocene (10-3.6 ka). Livestock grazing since 3.6 ka promoted plant taxa richness only weakly. Based on these inferred dependencies, our simulation yields a substantive decrease in plant taxa richness in response to warming-related alpine habitat loss over the next centuries. Accordingly, efforts of Tibetan biodiversity conservation should include conclusions from palaeoecological evidence.
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Affiliation(s)
- Sisi Liu
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Polar Terrestrial Environmental Systems, Potsdam, Germany
- Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
| | - Stefan Kruse
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Polar Terrestrial Environmental Systems, Potsdam, Germany
| | - Dirk Scherler
- GFZ German Research Centre for Geosciences, Potsdam, Germany
- Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany
| | - Richard H Ree
- Negaunee Integrative Research Center, Department of Science and Education, Field Museum, Chicago, USA
| | - Heike H Zimmermann
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Polar Terrestrial Environmental Systems, Potsdam, Germany
| | - Kathleen R Stoof-Leichsenring
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Polar Terrestrial Environmental Systems, Potsdam, Germany
| | - Laura S Epp
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Polar Terrestrial Environmental Systems, Potsdam, Germany
| | - Steffen Mischke
- Institute of Earth Sciences, University of Iceland, Reykjavík, Iceland
| | - Ulrike Herzschuh
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Polar Terrestrial Environmental Systems, Potsdam, Germany.
- Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany.
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.
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Abstract
Birds are characterized by evolutionary specializations of both locomotion (e.g., flapping flight) and digestive system (toothless, crop, and gizzard), while the potential selection pressures responsible for these evolutionary specializations remain unclear. Here we used a recently developed molecular phyloecological method to reconstruct the diets of the ancestral archosaur and of the common ancestor of living birds (CALB). Our results suggest a trophic shift from carnivory to herbivory (fruit, seed, and/or nut eater) at the archosaur-to-bird transition. The evolutionary shift of the CALB to herbivory may have essentially made them become a low-level consumer and, consequently, subject to relatively high predation risk from potential predators such as gliding non-avian maniraptorans, from which birds descended. Under the relatively high predation pressure, ancestral birds with gliding capability may have then evolved not only flapping flight as a possible anti-predator strategy against gliding predatory non-avian maniraptorans but also the specialized digestive system as an evolutionary tradeoff of maximizing foraging efficiency and minimizing predation risk. Our results suggest that the powered flight and specialized digestive system of birds may have evolved as a result of their tropic shift-associated predation pressure.
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Affiliation(s)
- Yonghua Wu
- School of Life Sciences, Northeast Normal University, Changchun, China.
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China.
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Li J, Wang Q, Xuan Y, Zhou H. User demands analysis of Eco-city based on the Kano model-An application to China case study. PLoS One 2021; 16:e0248187. [PMID: 33690633 PMCID: PMC7946302 DOI: 10.1371/journal.pone.0248187] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 02/19/2021] [Indexed: 12/05/2022] Open
Abstract
Eco-cities have witnessed rapid growth in these years worldwide. As the Eco-cities entering operation stage gradually, more and more researchers have found that users (who are living or working in the Eco-cities) satisfaction is one of the most important factors to determine the success or failure of Eco-cities. Therefore, it is very important to investigate the user demands to attract more citizens willing to live or work in the Eco-cities, which will make the development of Eco-cities more sustainable and solid. The recent researches on user demands investigation and analysis in the Eco-cities mainly focused on understanding the user need itself, yet lack of research on the relationship between the user demand and user satisfaction. This paper initially introduced the Kano model analysis method to the research field of user demands in Eco-city, to explore the relationship between the user demand and user satisfaction. After proposing user demands library in Eco-city (including Land use, Ecological environment, Green building, Energy utilization, etc.), the user demands classification and importance analysis methods of Eco-city were proposed based on Kano model. The questionnaire survey for users of two Eco-cities in China as case study was conducted, consisted of user demand items questionnaire based on the Kano model and a questionnaire on the importance of the user demand items. By utilizing the integration of quantitative analysis methods based on the Kano model and Analytic Hierarchy Process (AHP) method, the final ranking of user demands importance was obtained. Comparing with the existing literatures in terms of user demands research for Eco-city, the user demands analysis method based on Kano model of this paper, is able to reveal the influence degree of user satisfaction towards the facilities and services provided in the Eco-city. The user demands analysis method can be used for other researchers worldwide to investigate and quantitively analyze user demands according to their local development situation and preference of Eco-city. The user demands analysis results obtained through this method, can benefit different stages of Eco-city.
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Affiliation(s)
- Jinqiu Li
- School of Civil Engineering, Chongqing University, Chongqing, China
- Beijing Tsinghua Tongheng Urban Planning & Design Institute, Beijing, China
- Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing, China
| | - Qingqin Wang
- School of Civil Engineering, Chongqing University, Chongqing, China
- China Academy of Building Research, Beijing, China
| | - Yitong Xuan
- School of Civil Engineering, Chongqing University, Chongqing, China
| | - Hao Zhou
- Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing, China
- Think Tank Research Center, Tsinghua University, Beijing, China
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48
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Abstract
Background Humans life histories have been described as “slow”, patterned by slow growth, delayed maturity, and long life span. While it is known that human life history diverged from that of a recent common chimpanzee-human ancestor some ~4–8 mya, it is unclear how selection pressures led to these distinct traits. To provide insight, we compare wild chimpanzees and human subsistence societies in order to identify the age-specific vital rates that best explain fitness variation, selection pressures and species divergence. Methods We employ Life Table Response Experiments to quantify vital rate contributions to population growth rate differences. Although widespread in ecology, these methods have not been applied to human populations or to inform differences between humans and chimpanzees. We also estimate correlations between vital rate elasticities and life history traits to investigate differences in selection pressures and test several predictions based on life history theory. Results Chimpanzees’ earlier maturity and higher adult mortality drive species differences in population growth, whereas infant mortality and fertility variation explain differences between human populations. Human fitness is decoupled from longevity by postreproductive survival, while chimpanzees forfeit higher potential lifetime fertility due to adult mortality attrition. Infant survival is often lower among humans, but lost fitness is recouped via short birth spacing and high peak fertility, thereby reducing selection on infant survival. Lastly, longevity and delayed maturity reduce selection on child survival, but among humans, recruitment selection is unexpectedly highest in longer-lived populations, which are also faster-growing due to high fertility. Conclusion Humans differ from chimpanzees more because of delayed maturity and lower adult mortality than from differences in juvenile mortality or fertility. In both species, high child mortality reflects bet-hedging costs of quality/quantity tradeoffs borne by offspring, with high and variable child mortality likely regulating human population growth over evolutionary history. Positive correlations between survival and fertility among human subsistence populations leads to selection pressures in human subsistence societies that differ from those in modern populations undergoing demographic transition.
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Affiliation(s)
- Raziel J. Davison
- Integrative Anthropological Sciences, Department of Anthropology, University of California, Santa Barbara, Santa Barbara, CA, United States of America
- Broom Center for Demography, University of California, Santa Barbara, Santa Barbara, CA, United States of America
- * E-mail:
| | - Michael D. Gurven
- Integrative Anthropological Sciences, Department of Anthropology, University of California, Santa Barbara, Santa Barbara, CA, United States of America
- Broom Center for Demography, University of California, Santa Barbara, Santa Barbara, CA, United States of America
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49
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Weinstein BG, Marconi S, Bohlman SA, Zare A, Singh A, Graves SJ, White EP. A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network. eLife 2021; 10:e62922. [PMID: 33605211 PMCID: PMC7895524 DOI: 10.7554/elife.62922] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 02/15/2021] [Indexed: 01/03/2023] Open
Abstract
Forests provide biodiversity, ecosystem, and economic services. Information on individual trees is important for understanding forest ecosystems but obtaining individual-level data at broad scales is challenging due to the costs and logistics of data collection. While advances in remote sensing techniques allow surveys of individual trees at unprecedented extents, there remain technical challenges in turning sensor data into tangible information. Using deep learning methods, we produced an open-source data set of individual-level crown estimates for 100 million trees at 37 sites across the United States surveyed by the National Ecological Observatory Network's Airborne Observation Platform. Each canopy tree crown is represented by a rectangular bounding box and includes information on the height, crown area, and spatial location of the tree. These data have the potential to drive significant expansion of individual-level research on trees by facilitating both regional analyses and cross-region comparisons encompassing forest types from most of the United States.
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Affiliation(s)
- Ben G Weinstein
- Department of Wildlife Ecology and Conservation, University of FloridaGainesvilleUnited States
| | - Sergio Marconi
- Department of Wildlife Ecology and Conservation, University of FloridaGainesvilleUnited States
| | - Stephanie A Bohlman
- School of Forest Resources and Conservation, University of FloridaGainesvilleUnited States
| | - Alina Zare
- Department of Electrical and Computer Engineering, University of FloridaGainesvilleUnited States
| | - Aditya Singh
- Department of Agricultural & Biological Engineering, University of FloridaGainesvilleUnited States
| | - Sarah J Graves
- Nelson Institute for Environmental Studies, University of Wisconsin-MadisonMadisonUnited States
| | - Ethan P White
- Department of Wildlife Ecology and Conservation, University of FloridaGainesvilleUnited States
- Informatics Institute, University of FloridaGainesvilleUnited States
- Biodiversity Institute, University of FloridaGainesvilleUnited States
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50
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Abstract
Many ecological studies employ general models that can feature an arbitrary number of populations. A critical requirement imposed on such models is clone consistency: If the individuals from two populations are indistinguishable, joining these populations into one shall not affect the outcome of the model. Otherwise a model produces different outcomes for the same scenario. Using functional analysis, we comprehensively characterize all clone-consistent models: We prove that they are necessarily composed from basic building blocks, namely linear combinations of parameters and abundances. These strong constraints enable a straightforward validation of model consistency. Although clone consistency can always be achieved with sufficient assumptions, we argue that it is important to explicitly name and consider the assumptions made: They may not be justified or limit the applicability of models and the generality of the results obtained with them. Moreover, our insights facilitate building new clone-consistent models, which we illustrate for a data-driven model of microbial communities. Finally, our insights point to new relevant forms of general models for theoretical ecology. Our framework thus provides a systematic way of comprehending ecological models, which can guide a wide range of studies.
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Affiliation(s)
- Gerrit Ansmann
- Institute for Biological Physics, University of Cologne, Cologne, Germany
- * E-mail:
| | - Tobias Bollenbach
- Institute for Biological Physics, University of Cologne, Cologne, Germany
- Center for Data and Simulation Science, University of Cologne, Cologne, Germany
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