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Jupke JF, Birk S, Apostolou A, Aroviita J, Baattrup-Pedersen A, Baláži P, Barešová L, Blanco S, Borrego-Ramos M, van Dam H, Dimitriou E, Feld CK, Ferreira MT, Gecheva G, Gomà J, Hanžek N, Haslev IM, Isheva T, Jamoneau A, Jyrkänkallio-Mikkola J, Kahlert M, Karaouzas I, Karjalainen SM, Olenici A, Panek P, Paril P, Peeters ETHM, Polášek M, Pont D, Pumputyte A, Sandin L, Sochuliaková L, Soininen J, Stanković I, Straka M, Šušnjara M, Sutela T, Tison-Rosebery J, Udovič MG, Verhofstad M, Žutinić P, Schäfer RB. European river typologies fail to capture diatom, fish, and macrophyte community composition. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 896:165081. [PMID: 37355122 DOI: 10.1016/j.scitotenv.2023.165081] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 06/16/2023] [Accepted: 06/21/2023] [Indexed: 06/26/2023]
Abstract
Typology systems are frequently used in applied and fundamental ecology and are relevant for environmental monitoring and conservation. They aggregate ecosystems into discrete types based on biotic and abiotic variables, assuming that ecosystems of the same type are more alike than ecosystems of different types with regard to a specific property of interest. We evaluated whether this assumption is met by the Broad River Types (BRT), a recently proposed European river typology system, that classifies river segments based on abiotic variables, when it is used to group biological communities. We compiled data on the community composition of diatoms, fishes, and aquatic macrophytes throughout Europe and evaluated whether the composition is more similar in site groups with the same river type than in site groups of different river types using analysis of similarities, classification strength, typical species analysis, and the area under zeta diversity decline curves. We compared the performance of the BRT with those of four region-based typology systems, namely, Illies Freshwater Ecoregions, the Biogeographic Regions, the Freshwater Ecoregions of the World, and the Environmental Zones, as well as spatial autocorrelation (SA) classifications. All typology systems received low scores from most evaluation methods, relative to predefined thresholds and the SA classifications. The BRT often scored lowest of all typology systems. Within each typology system, community composition overlapped considerably between site groups defined by the types of the systems. The overlap tended to be the lowest for fishes and between Illies Freshwater Ecoregions. In conclusion, we found that existing broad-scale river typology systems fail to delineate site groups with distinct and compositionally homogeneous communities of diatoms, fishes, and macrophytes. A way to improve the fit between typology systems and biological communities might be to combine segment-based and region-based typology systems to simultaneously account for local environmental variation and historical distribution patterns, thus potentially improving the utility of broad-scale typology systems for freshwater biota.
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Affiliation(s)
- Jonathan F Jupke
- Institute for Environmental Sciences iES, RPTU Kaiserslautern-Landau, Campus Landau, Fortstraße 7, 76829 Landau, Germany.
| | - Sebastian Birk
- Faculty of Biology, Department of Aquatic Ecology, University of Duisburg-Essen, 45117 Essen, Germany; Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, 45117 Essen, Germany
| | - Apostolos Apostolou
- Department of Aquatic Ecosystems, Institute for Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, Gagarin 2, Sofia 1113, Bulgaria
| | - Jukka Aroviita
- Finnish Environment Institute, Paavo Havaksen tie 3, 90570 Oulu, Finland
| | | | - Peter Baláži
- Water Research Institute, Nabr. arm. gen. L. Svobodu 7, 81249 Bratislava, Slovakia
| | - Libuše Barešová
- Czech Hydrometeorological Institute, Na Šabatce 17, 143 06 Praha, Czech Republic
| | - Saúl Blanco
- Diatom Lab, Universidad de León, La Serna 58, E24007 Leon, Spain
| | | | - Herman van Dam
- Consultancy for Water and Nature, Spyridon Louisweg 141, 1034 WR Amsterdam, the Netherlands
| | - Elias Dimitriou
- Institute of Marine Biological Resources & Inland Waters, Hellenic Centre for Marine Research, 46.7 km Athens-Sounio Av., 19013 Anavyssos, Attica, Greece
| | - Christian K Feld
- Faculty of Biology, Department of Aquatic Ecology, University of Duisburg-Essen, 45117 Essen, Germany; Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, 45117 Essen, Germany
| | - Maria Teresa Ferreira
- Forest Research Centre and Associate Laboratory TERRA, Instituto Superior de Agronomia, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - Gana Gecheva
- Faculty of Biology, Plovdiv University, Tsar Asen 24, 4000 Plovdiv, Bulgaria
| | - Joan Gomà
- Faculty of Biology, Universitat de Barcelona, Av. Diagonal 643, 08028 Barcelona, Spain
| | - Nikola Hanžek
- Josip Juraj Strossmayer Water Institute, Ulica grada Vukovara 220, HR-10000 Zagreb, Croatia
| | | | - Tsvetelina Isheva
- Department of Aquatic Ecosystems, Institute for Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, Gagarin 2, Sofia 1113, Bulgaria
| | | | | | - Maria Kahlert
- Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment, PO Box 7050, 750 07 Uppsala, Sweden
| | - Ioannis Karaouzas
- Institute of Marine Biological Resources & Inland Waters, Hellenic Centre for Marine Research, 46.7 km Athens-Sounio Av., 19013 Anavyssos, Attica, Greece
| | | | - Adriana Olenici
- Diatom Lab, Universidad de León, La Serna 58, E24007 Leon, Spain; Babeș-Bolyai University, Faculty of Environmental Sciences and Engineering, Fântânele Street, No. 30, 400294 Cluj-Napoca, Romania
| | - Piotr Panek
- Chief Inspectorate for Environmental Protection, ul. Bitwy Warszawskiej 1920 r. 3, 02-362 Warszawa, Poland
| | - Petr Paril
- Department of Botany and Zoology, Faculty of Science, Masaryk University, 61137, Brno, Czech Republic
| | - Edwin T H M Peeters
- Aquatic Ecology and Water Quality Management Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, the Netherlands
| | - Marek Polášek
- Department of Botany and Zoology, Faculty of Science, Masaryk University, 61137, Brno, Czech Republic
| | - Didier Pont
- Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Gregor-MendelStrasse 33, Vienna, Austria
| | - Audrone Pumputyte
- Aplinkos apsaugos agentūra, A Juozapavičiaus g.9, 09311 Vilnius, Lithuania
| | - Leonard Sandin
- Norwegian institute for nature research (NINA), Lillehammer, Norway
| | - Lucia Sochuliaková
- Department of Biology and Ecology, Faculty of Natural Sciences, Matej Bel University, Tajovského 40, 97401 Banská Bystrica, Slovakia
| | - Janne Soininen
- Department of Geosciences and Geography, PO Box 64, Fi-00014, University of Helsinki, Finland
| | - Igor Stanković
- Josip Juraj Strossmayer Water Institute, Ulica grada Vukovara 220, HR-10000 Zagreb, Croatia
| | - Michal Straka
- Department of Botany and Zoology, Faculty of Science, Masaryk University, 61137, Brno, Czech Republic; T.G. Masaryk Water Research Institute, 612 00, Brno, Czech Republic
| | - Mirela Šušnjara
- Faculty of Science, University of Zagreb, Horvatovac 102a, HR-10000 Zagreb, Croatia
| | - Tapio Sutela
- Natural Resources Institute Finland, Paavo Havaksen tie 3, 90570 Oulu, Finland
| | | | | | - Michiel Verhofstad
- FLORON: Plant Conservation Netherlands, Toernooiveld 1, 6525ED Nijmegen, the Netherlands
| | - Petar Žutinić
- Faculty of Science, University of Zagreb, Horvatovac 102a, HR-10000 Zagreb, Croatia
| | - Ralf B Schäfer
- Institute for Environmental Sciences iES, RPTU Kaiserslautern-Landau, Campus Landau, Fortstraße 7, 76829 Landau, Germany
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Wang MQ, Wen Z, Ke J, Chesters D, Li Y, Chen JT, Luo A, Shi X, Zhou QS, Liu XJ, Ma K, Bruelheide H, Schuldt A, Zhu CD. Tree communities and functional traits determine herbivore compositional turnover. Oecologia 2023; 203:205-218. [PMID: 37831151 DOI: 10.1007/s00442-023-05463-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 09/26/2023] [Indexed: 10/14/2023]
Abstract
There are many factors known to drive species turnover, although the mechanisms by which these operate are less clear. Based on comprehensive datasets from the largest tree diversity experiment worldwide (BEF-China), we used shared herbivore species (zeta diversity) and multi-site generalized dissimilarity modelling to investigate the patterns and determinants of species turnover of Lepidoptera herbivores among study plots across a gradient in tree species richness. We found that zeta diversity declined sharply with an increasing number of study plots, with complete changes in caterpillar species composition observed even at the fine spatial scale of our study. Plant community characteristics rather than abiotic factors were found to play key roles in driving caterpillar compositional turnover, although these effects varied with an increasing number of study plots considered, due to the varying contributions of rare and common species to compositional turnover. Our study reveals details of the impact of phylogeny- and trait-mediated processes of trees on herbivore compositional turnover, which has implications for forest management and conservation and shows potential avenues for maintenance of heterogeneity in herbivore communities.
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Affiliation(s)
- Ming-Qiang Wang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, 4 Renmin South Road, Wuhou District, Chengdu, 610041, China
- CAS Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China
- Forest Nature Conservation, University of Göttingen, Buesgenweg 3, 37077, Göttingen, Germany
| | - Zhixin Wen
- CAS Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China
| | - Jinzhao Ke
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, 4 Renmin South Road, Wuhou District, Chengdu, 610041, China
- College of Biological Sciences, University of Chinese Academy of Sciences, No. 19A Yuquan Road, Shijingshan District, Beijing, 100049, China
| | - Douglas Chesters
- CAS Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China
| | - Yi Li
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun, Xiangshan, Beijing, 100093, China
| | - Jing-Ting Chen
- CAS Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China
- College of Biological Sciences, University of Chinese Academy of Sciences, No. 19A Yuquan Road, Shijingshan District, Beijing, 100049, China
| | - Arong Luo
- CAS Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China
| | - Xiaoyu Shi
- CAS Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China
| | - Qing-Song Zhou
- CAS Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China
| | - Xiao-Juan Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun, Xiangshan, Beijing, 100093, China
| | - Keping Ma
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun, Xiangshan, Beijing, 100093, China
- School of Resources and Environmental Sciences, University of Chinese Academy of Sciences, Beijing, 101314, China
| | - Helge Bruelheide
- Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108, Halle, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr. 4, 04103, Leipzig, Germany
| | - Andreas Schuldt
- Forest Nature Conservation, University of Göttingen, Buesgenweg 3, 37077, Göttingen, Germany.
| | - Chao-Dong Zhu
- CAS Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China.
- College of Biological Sciences, University of Chinese Academy of Sciences, No. 19A Yuquan Road, Shijingshan District, Beijing, 100049, China.
- State Key Laboratory of Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing, 100101, China.
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Nederstigt TAP, Bode B, van Ommen JR, Peijnenburg WJGM, Vijver MG. Zooplankton community turnover in response to a novel TiO 2-coated nano-formulation of carbendazim and its constituents. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 333:121894. [PMID: 37271364 DOI: 10.1016/j.envpol.2023.121894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/15/2023] [Accepted: 05/23/2023] [Indexed: 06/06/2023]
Abstract
Novel nanomaterial-based pesticide formulations are increasingly perceived as promising aids in the transition to more efficient agricultural production systems. The current understanding of potential unintended (eco)toxicological impacts of nano-formulated pesticides is scarce, in particular with regard to (non-target) aquatic organisms and ecosystems. The present study reports the results of a long-term freshwater mesocosm experiment which assessed responses of individual zooplankton taxa and communities to a novel TiO2-coated nano-formulation of the fungicide carbendazim. Population- and community trends were assessed and compared in response to the nano-formulation and its constituents applied individually (i.e. nano-sized TiO2, carbendazim) and in combination (i.e. nano-sized TiO2 & carbendazim). Minimal differences were observed between effects induced by the nano-formulation and its active ingredient (i.e. carbendazim) when applied at equivalent nominal test concentrations (4 μg L-1). Nano-sized TiO2 was found to affect zooplankton community trends when applied separately at environmentally realistic concentrations (20 μg L-1 nominal test concentration). However, when nano-sized TiO2 was applied in combination with carbendazim, nano-sized TiO2 was found not to alter effects on community trends induced by carbendazim. The findings of the current study provide an extensive and timely addition to the current body of work available on non-target impacts of nano-formulated pesticides.
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Affiliation(s)
- Tom A P Nederstigt
- Institute of Environmental Sciences, University of Leiden, Leiden, the Netherlands.
| | - Bo Bode
- Institute of Environmental Sciences, University of Leiden, Leiden, the Netherlands
| | - J Ruud van Ommen
- Department of Chemical Engineering, TU Delft Process & Product Technology Institute, Delft University of Technology, Delft, the Netherlands
| | - Willie J G M Peijnenburg
- Institute of Environmental Sciences, University of Leiden, Leiden, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Martina G Vijver
- Institute of Environmental Sciences, University of Leiden, Leiden, the Netherlands
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4
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Liu T, Liu H, Yang Y. Uncovering the determinants of biodiversity hotspots in China: Evidence from the drivers of multiple diversity metrics on insect assemblages and implications for conservation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 880:163287. [PMID: 37028670 DOI: 10.1016/j.scitotenv.2023.163287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/31/2023] [Accepted: 03/31/2023] [Indexed: 05/27/2023]
Abstract
Understanding large-scale biodiversity patterns and underlying mechanisms during the formation process is essential for guiding conservation efforts. However, previous studies on the identification and formation mechanism of diversity hotspots in China were often limited to a single (alpha) diversity metric, while multiple (beta or zeta) diversity has rarely been used for exploring drivers and conservation actions. Here, a comprehensive species distribution dataset consisting of representative families of three insect orders was compiled to explore biodiversity hotspots based on different algorithms. Furthermore, to assess the effects of environmental factors on hotspots, we fitted generalized additive mixed-effects models (GAMMs) for species richness, generalized dissimilarity models (GDMs) and multi-site generalized dissimilarity modeling (MS-GDM) for the total beta and zeta diversity. Our results showed that biodiversity hotspots were mainly concentrated in central and southern China, especially in mountainous areas with complex topography, which indicated the insects' affinity to montane environments. Further analyses based on multiple models showed that water-energy factors exerted the strongest explanatory power for the insect assemblage diversity in hotspots of both alpha and beta (or zeta) levels. Additionally, anthropogenic factors also exerted a significant effect on hotspots, and this effect was higher for beta diversity than for alpha diversity. Overall, our study elucidates a comprehensive analysis of the identification and underlying mechanism of biodiversity hotspots in China. Despite several limitations, we still believe that our findings can provide some new insights for conservation efforts in Chinese hotspots.
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Affiliation(s)
- Tong Liu
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding 071002, China
| | - Haoyu Liu
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding 071002, China.
| | - Yuxia Yang
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding 071002, China.
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Simons AL, Theroux S, Osborne M, Nuzhdin S, Mazor R, Steele J. Zeta diversity patterns in metabarcoded lotic algal assemblages as a tool for bioassessment. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2023; 33:e2812. [PMID: 36708145 DOI: 10.1002/eap.2812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 12/07/2022] [Accepted: 12/20/2022] [Indexed: 06/18/2023]
Abstract
Assessments of the ecological health of algal assemblages in streams typically focus on measures of their local diversity and classify individuals by morphotaxonomy. Such assemblages are often connected through various ecological processes, such as dispersal, and may be more accurately assessed as components of regional-, rather than local-scale assemblages. With recent declines in the costs of sequencing and computation, it has also become increasingly feasible to use metabarcoding to more accurately classify algal species and perform regional-scale bioassessments. Recently, zeta diversity has been explored as a novel method of constructing regional bioassessments for groups of streams. Here, we model the use of zeta diversity to investigate whether stream health can be determined by the landscape diversity of algal assemblages. We also compare the use of DNA metabarcoding and morphotaxonomy classifications in these zeta diversity-based bioassessments of regional stream health. From 96 stream samples in California, we used various orders of zeta diversity to construct models of biotic integrity for multiple assemblages of diatoms, as well as hybrid assemblages of diatoms in combination with soft-bodied algae, using taxonomy data generated with both DNA sequencing as well as traditional morphotaxonomic approaches. We compared our ability to evaluate the ecological health of streams with the performance of multiple algal indices of biological condition. Our zeta diversity-based models of regional biotic integrity were more strongly correlated with existing indices for algal assemblages classified using metabarcoding compared to morphotaxonomy. Metabarcoding for diatoms and hybrid algal assemblages involved rbcL and 18S V9 primers, respectively. Importantly, we also found that these algal assemblages, independent of the classification method, are more likely to be assembled under a process of niche differentiation rather than stochastically. Taken together, these results suggest the potential for zeta diversity patterns of algal assemblages classified using metabarcoding to inform stream bioassessments.
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Affiliation(s)
- Ariel Levi Simons
- Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, USA
| | - Susanna Theroux
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
| | - Melisa Osborne
- Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, USA
| | - Sergey Nuzhdin
- Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, USA
| | - Raphael Mazor
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
| | - Joshua Steele
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
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de Beer IW, Hui C, Botella C, Richardson DM. Drivers of compositional turnover of narrow-ranged versus widespread naturalised woody plants in South Africa. Front Ecol Evol 2023. [DOI: 10.3389/fevo.2023.1106197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
IntroductionAlien trees and shrubs have become increasingly common invaders globally and have caused major negative impacts to ecosystems and society. Non-native woody plant species make up the majority of legislated invasive alien taxa in South Africa and contribute substantially to recorded negative impacts. It is of management interest to elucidate the macroecological processes that mediate the assembly of alien taxa, as this is expected to be associated with anthropogenic factors (e.g., human activity, introduction events, pathways of propagule dispersal mediated by humans) and bioclimatic factors (such as diurnal temperature range and precipitation gradients). These analyses require large species-occurrence datasets with comprehensive sampling across broad environmental conditions. Efforts of citizen scientists produce large numbers of occurrence records in a consistent manner which may be utilised for scientific investigations.MethodsResearch Grade occurrence data on naturalised plants of South Africa were extracted from the citizen scientist platform iNaturalist. Sampling bias was mitigated using statistical modelling of background points estimated from a Target Group of species which identifies well sampled communities. The drivers of assembly for alien plants at different range sizes were identified using multi-site generalised dissimilarity modelling (MS-GDM) of zeta diversity. The predicted compositional similarity between all cells was computed based on the subset of identified well sampled communities and using generalised dissimilarity modelling (GDM). From this, alien bioregions were identified using a k-means cluster analysis.Results and DiscussionBioclimatic factors significantly influenced community turnover in inland areas with large diurnal temperature ranges, and in areas with high precipitation. Communities separated by large geographical distances had significantly different compositions, indicating little contribution of long-range propagule movement by humans, and the presence of localised introduction hubs within the country which harbour unique species compositions. Analyses also showed a significant contribution of road density to turnover, which may be moderated by the habitat service provided by road verges. The same is true for natural dispersal via rivers in arid areas. The distribution of naturalised tree and shrub species is geographically clustered and forms six alien bioregions that are distinct from the South African biomes defined by native species distributionanalysis.
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Krasnov BR, Berrizbeitia MFL, Sanchez JP, Díaz MM, Lareschi M, Khokhlova IS, Grabovsky VI. The species composition of local flea assemblages at a small scale in two South American regions is predominantly driven by niche-based mechanisms. Parasitol Res 2023; 122:571-583. [PMID: 36515752 DOI: 10.1007/s00436-022-07759-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 12/08/2022] [Indexed: 12/15/2022]
Abstract
We applied a step-down factor analysis (SDFA) and multi-site generalised dissimilarity modelling (MS-GDM) to local flea communities harboured by small mammals (i.e., collected at small sampling sites over a short time period) in two South American regions (Patagonia and the Northwestern Argentina) with the aim of understanding whether these communities were assembled via niche-based or dispersal-based processes. The SDFA allows us to determine whether clusters of flea assemblages across different types of climates, vegetation and soils can be distinguished (suggesting niche-based assembly). MS-GDM allows us to determine whether a substantial proportion of the variation in flea species turnover is explained by specific climate-associated, vegetation-associated and soil-associated variables (indicating niche-based assembly) or host turnover (indicating dispersal-based assembly). Mapping of assemblages on climate, vegetation and soil maps, according to their loadings on axis 1 or axis 2 of the SDFA, did not provide clear-cut results. Clusters of similar loadings could be recognized within some, but not other, climate, vegetation and soil types. However, MS-GDM demonstrated that the effect of environmental variables (especially air temperature) on flea compositional turnover was much stronger than that of host turnover, indicating the predominance of niche-based processes in local community assembly. A comparison of our results with those on the mechanisms that drive species assembly in regional communities allows us to conclude that local and regional communities result from the joint action of niche-based and dispersal-based processes, with the former more important at a smaller spatial scale and the latter at a larger spatial scale.
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Affiliation(s)
- Boris R Krasnov
- Mitrani Department of Desert Ecology, Swiss Institute for Dryland Environmental and Energy Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel.
| | - M Fernanda López Berrizbeitia
- Programa de Conservación de los Murciélagos de Argentina (PCMA) and Instituto de Investigaciones de Biodiversidad Argentina (PIDBA)-CCT CONICET Noa Sur (Consejo Nacional de Investigaciones Científicas Y Técnicas), Facultad de Ciencias Naturales E IML, UNT, and Fundación Miguel Lillo, Miguel Lillo 251, CP 4000, San Miguel de Tucumán, Argentina
| | - Juliana P Sanchez
- Centro de Investigaciones y Transferencia del Noroeste de La Provincia de Buenos Aires-CITNOBA (UNNOBA-UNSAdA-CONICET), Pergamino, Argentina
| | - M Mónica Díaz
- Programa de Conservación de los Murciélagos de Argentina (PCMA) and Instituto de Investigaciones de Biodiversidad Argentina (PIDBA)-CCT CONICET Noa Sur (Consejo Nacional de Investigaciones Científicas Y Técnicas), Facultad de Ciencias Naturales E IML, UNT, and Fundación Miguel Lillo, Miguel Lillo 251, CP 4000, San Miguel de Tucumán, Argentina
| | - Marcela Lareschi
- Laboratorio de Ectoparásitos, Centro de Estudios Parasitológicos Y de Vectores (CEPAVE) (CONICET-UNLP), 45-53 Bv. 120 s/n e/ Av. 60 y Calle 64, 1900, La Plata, Argentina
| | - Irina S Khokhlova
- French Associates Institute for Agriculture and Biotechnology of Drylands, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel
| | - Vasily I Grabovsky
- French Associates Institute for Agriculture and Biotechnology of Drylands, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel
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Using the Zeta (ζ) diversity approach for understanding the effects of variations in climatic covariates, vegetation patterns, and human influence on species composition of arboreal frogs in India. ECOL INFORM 2022. [DOI: 10.1016/j.ecoinf.2022.101970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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9
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Kestel JH, Field DL, Bateman PW, White NE, Allentoft ME, Hopkins AJM, Gibberd M, Nevill P. Applications of environmental DNA (eDNA) in agricultural systems: Current uses, limitations and future prospects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 847:157556. [PMID: 35882340 DOI: 10.1016/j.scitotenv.2022.157556] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/29/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
Global food production, food supply chains and food security are increasingly stressed by human population growth and loss of arable land, becoming more vulnerable to anthropogenic and environmental perturbations. Numerous mutualistic and antagonistic species are interconnected with the cultivation of crops and livestock and these can be challenging to identify on the large scales of food production systems. Accurate identifications to capture this diversity and rapid scalable monitoring are necessary to identify emerging threats (i.e. pests and pathogens), inform on ecosystem health (i.e. soil and pollinator diversity), and provide evidence for new management practices (i.e. fertiliser and pesticide applications). Increasingly, environmental DNA (eDNA) is providing rapid and accurate classifications for specific organisms and entire species assemblages in substrates ranging from soil to air. Here, we aim to discuss how eDNA is being used for monitoring of agricultural ecosystems, what current limitations exist, and how these could be managed to expand applications into the future. In a systematic review we identify that eDNA-based monitoring in food production systems accounts for only 4 % of all eDNA studies. We found that the majority of these eDNA studies target soil and plant substrates (60 %), predominantly to identify microbes and insects (60 %) and are biased towards Europe (42 %). While eDNA-based monitoring studies are uncommon in many of the world's food production systems, the trend is most pronounced in emerging economies often where food security is most at risk. We suggest that the biggest limitations to eDNA for agriculture are false negatives resulting from DNA degradation and assay biases, as well as incomplete databases and the interpretation of abundance data. These require in silico, in vitro, and in vivo approaches to carefully design, test and apply eDNA monitoring for reliable and accurate taxonomic identifications. We explore future opportunities for eDNA research which could further develop this useful tool for food production system monitoring in both emerging and developed economies, hopefully improving monitoring, and ultimately food security.
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Affiliation(s)
- Joshua H Kestel
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia.
| | - David L Field
- Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia
| | - Philip W Bateman
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Behavioural Ecology Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Nicole E White
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Morten E Allentoft
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, Denmark
| | - Anna J M Hopkins
- Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia
| | - Mark Gibberd
- Centre for Crop Disease Management (CCDM), School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Paul Nevill
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
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10
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Zhang W, Jiang C, Chen L, Bhagwat G, Thava P, Yang Y. Spatial turnover of core and occasional bacterial taxa in the plastisphere from a plateau river, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:156179. [PMID: 35618135 DOI: 10.1016/j.scitotenv.2022.156179] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/29/2022] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Abstract
Plastic surfaces in the environment are a comparatively new niche for microbial colonization, also known as the "plastisphere". However, our understanding of the core and occasional bacterial taxa in the plastisphere is limited. Here, environmental plastic, water, and sediment samples were collected from 10 sites in a plateau river (Lhasa River, China) in September of 2019. The composition and spatial turnover of core and occasional bacterial taxa in the plastisphere were revealed via 16S rRNA gene sequencing and compared with water and sediment. The results indicated that deterministic processes dominated the habitat specialization that shaped the formation of core and occasional taxa in the plastisphere, water, and sediment of the Lhasa River because the decline in zeta diversity in the plastisphere, water, and sediment was more fitted to a power-law form rather than an exponential form. Proteobacteria (65.9%), Bacteroidetes (16.0%), and Cyanobacteria (11.7%) dominated the plastic core taxa. Core taxa rather than occasional taxa in the plastisphere had a lower (21.7%) proportion of OTUs and a higher (81.7%) proportion of average relative abundance than water and sediment, which were dominant in plastic bacterial communities. The spatial turnover of core and occasional bacterial taxa in the plastisphere was governed by abiotic as well as biotic factors. Specifically, the spatial turnover of core taxa in the plastisphere with high connectivity but low functional redundancy was easily affected by geographical distance, altitude, and heavy metals. Furthermore, strong drug resistance was found in the spatially persistent core taxa in the plastisphere. This study provides empirical support for the spatial turnover (species variation) and potential ecological mechanisms of bacterial communities in the plastisphere from river ecosystems.
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Affiliation(s)
- Weihong Zhang
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chunxia Jiang
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lu Chen
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; Research Center for Ecology and Environment of Qinghai-Tibetan Plateau, Tibet University, Lhasa 850000, China; College of Science, Tibet University, Lhasa 850000, China
| | - Geetika Bhagwat
- Environmental Plastic and Innovation Cluster, Global Innovation Centre for Advanced Nanomaterials, The University of Newcastle, 2308, NSW, Australia
| | - Palanisami Thava
- Environmental Plastic and Innovation Cluster, Global Innovation Centre for Advanced Nanomaterials, The University of Newcastle, 2308, NSW, Australia
| | - Yuyi Yang
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China; Research Center for Ecology and Environment of Qinghai-Tibetan Plateau, Tibet University, Lhasa 850000, China; College of Science, Tibet University, Lhasa 850000, China.
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11
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Dajka J, di Carvalho JA, Ryabov A, Scheiffarth G, Rönn L, Dekker R, Peters K, Leberecht B, Hillebrand H. Modeling drivers of biodiversity change emphasizes the need for multivariate assessments and rescaled targeting for management. CONSERVATION SCIENCE AND PRACTICE 2022. [DOI: 10.1111/csp2.12794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Affiliation(s)
- Jan‐Claas Dajka
- Helmholtz‐Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB) Oldenburg Germany
- Institute for Chemistry and Biology of Marine Environments (ICBM), Carl‐von‐Ossietzky University Oldenburg Oldenburg Germany
| | - Josie Antonucci di Carvalho
- Helmholtz‐Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB) Oldenburg Germany
- Alfred Wegener Institute, Helmholtz‐Centre for Polar and Marine Research (AWI) Bremerhaven Germany
| | - Alexey Ryabov
- Institute for Chemistry and Biology of Marine Environments (ICBM), Carl‐von‐Ossietzky University Oldenburg Oldenburg Germany
| | - Gregor Scheiffarth
- Lower Saxon Wadden Sea National Park Authority (NLPVW) Wilhelmshaven Germany
| | - Lena Rönn
- Lower Saxony Water Management, Coastal Defence and Nature Conservation Agency (NLWKN) Oldenburg Germany
| | - Rob Dekker
- Department of Coastal Systems NIOZ Royal Netherlands Institute for Sea Research Texel The Netherlands
| | - Kimberley Peters
- Helmholtz‐Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB) Oldenburg Germany
- Institute for Chemistry and Biology of Marine Environments (ICBM), Carl‐von‐Ossietzky University Oldenburg Oldenburg Germany
- Alfred Wegener Institute, Helmholtz‐Centre for Polar and Marine Research (AWI) Bremerhaven Germany
| | - Bo Leberecht
- Institute of Biology and Environmental Sciences (IBU), Carl‐von‐Ossietzky‐University Oldenburg Oldenburg Germany
| | - Helmut Hillebrand
- Helmholtz‐Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB) Oldenburg Germany
- Institute for Chemistry and Biology of Marine Environments (ICBM), Carl‐von‐Ossietzky University Oldenburg Oldenburg Germany
- Alfred Wegener Institute, Helmholtz‐Centre for Polar and Marine Research (AWI) Bremerhaven Germany
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12
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Pettersen AK, Marzinelli EM, Steinberg PD, Coleman MA. Impact of marine protected areas on temporal stability of fish species diversity. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2022; 36:e13815. [PMID: 34342040 DOI: 10.1111/cobi.13815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 07/07/2021] [Accepted: 07/22/2021] [Indexed: 06/13/2023]
Abstract
Preserving biodiversity over time is a pressing challenge for conservation science. A key goal of marine protected areas (MPAs) is to maintain stability in species composition, via reduced turnover, to support ecosystem function. Yet, this stability is rarely measured directly under different levels of protection. Rather, evaluations of MPA efficacy generally consist of static measures of abundance, species richness, and biomass, and rare measures of turnover are limited to short-term studies involving pairwise (beta diversity) comparisons. Zeta diversity is a recently developed metric of turnover that allows for measurement of compositional similarity across multiple assemblages and thus provides more comprehensive estimates of turnover. We evaluated the effectiveness of MPAs at preserving fish zeta diversity across a network of marine reserves over 10 years in Batemans Marine Park, Australia. Snorkel transect surveys were conducted across multiple replicated and spatially interspersed sites to record fish species occurrence through time. Protection provided by MPAs conferred greater stability in fish species turnover. Marine protected areas had significantly shallower decline in zeta diversity compared with partially protected and unprotected areas. The retention of harvested species was four to six times greater in MPAs compared with partially protected and unprotected areas, and the stabilizing effects of protection were observable within 4 years of park implementation. Conversely, partial protection offered little to no improvement in stability, compared with unprotected areas. These findings support the efficacy of MPAs for preserving temporal fish diversity stability. The implementation of MPAs helps stabilize fish diversity and may, therefore, support biodiversity resilience under ongoing environmental change.
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Affiliation(s)
- Amanda K Pettersen
- Sydney Institute of Marine Science, Mosman, New South Wales, Australia
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Ezequiel M Marzinelli
- Sydney Institute of Marine Science, Mosman, New South Wales, Australia
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
| | - Peter D Steinberg
- Sydney Institute of Marine Science, Mosman, New South Wales, Australia
- Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Melinda A Coleman
- Marine Ecosystem Research, Department of Primary Industries, New South Wales Fisheries, Coffs Harbour, New South Wales, Australia
- National Marine Science Centre, Southern Cross University, Coffs Harbour, New South Wales, Australia
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13
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Reeve S, Deane DC, McGrannachan C, Horner G, Hui C, McGeoch M. Rare, common, alien and native species follow different rules in an understory plant community. Ecol Evol 2022; 12:e8734. [PMID: 35356560 PMCID: PMC8938312 DOI: 10.1002/ece3.8734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 02/12/2022] [Accepted: 02/16/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
- Sarah Reeve
- School of Biological Sciences Monash University Melbourne Victoria Australia
| | - David C. Deane
- School of Life Sciences Department of Ecology, Evolution and Environment La Trobe University Bundoora Victoria Australia
| | | | - Gillis Horner
- School of Ecosystem and Forest Sciences University of Melbourne Richmond Victoria Australia
| | - Cang Hui
- Centre for Invasion Biology Department of Mathematical Sciences Stellenbosch University Matieland South Africa
- Biodiversity Informatics Unit African Institute for Mathematical Sciences Cape Town South Africa
- International Initiative for Theoretical Ecology London UK
| | - Melodie McGeoch
- School of Biological Sciences Monash University Melbourne Victoria Australia
- School of Life Sciences Department of Ecology, Evolution and Environment La Trobe University Bundoora Victoria Australia
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14
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Iacarella JC. Fish zeta diversity responses to human pressures and cumulative effects across a freshwater basin. DIVERS DISTRIB 2022. [DOI: 10.1111/ddi.13486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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15
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Wen Z, Cai T, Wu Y, Fejió A, Xia L, Cheng J, Peng X, Zhang Q, Zhang Z, Ran J, Ge D, Yang Q. Environmental drivers of sympatric mammalian species compositional turnover in giant panda nature reserves: Implications for conservation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:150944. [PMID: 34655626 DOI: 10.1016/j.scitotenv.2021.150944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 10/04/2021] [Accepted: 10/08/2021] [Indexed: 06/13/2023]
Abstract
The charismatic giant panda (Ailuropoda melanoleuca) is an iconic species of wildlife conservation worldwide. As the most effective measure to protect giant pandas and their habitats, China has established 67 giant panda nature reserves (GPNR) during the last five decades, which also bring benefits to many sympatric medium- and large-bodied mammals (MLM). To better inform the planning of the GPNR network with the view of preserving regional MLM diversity, we investigated the zeta diversity (a novel index to measure species compositional turnover considering the contributions of both rare and common species) patterns (i.e. zeta decline and retention rate curve) of MLMs across 40 GPNRs. The effects of species' body mass and conservation status on the zeta diversity patterns were tested. Further, we applied the multi-site generalized dissimilarity modelling (MS-GDM) framework to explore the impacts of environmental and geographic distances on MLM turnover. The results indicated that there are a core set of 17 MLM species sympatric with the giant panda in the GPNRs. Species' body mass can affect the patterns of zeta decline and retention rate curves, and the number of large-bodied species shared by multiple GPNRs is higher than that of medium-bodied species across zeta orders. The MS-GDM revealed the important roles of difference in habitat heterogeneity and spatial distance between GPNRs in driving MLM turnover. Consequently, we advocate maintaining and increasing the diversity of (natural) habitats in GPNRs to protect giant panda's sympatric MLM diversity. The government should consider optimizing the GPNR network (e.g. incorporating multiple small GPNRs into one single large reserve) to capture the most turnover of MLMs, and the newly-established Giant Panda National Park is relevant to fulfilling this long-term goal.
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Affiliation(s)
- Zhixin Wen
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, PR China.
| | - Tianlong Cai
- School of Life Sciences, Westlake University, No. 18 Shilongshan Road, Xihu District, Hangzhou 310023, PR China.
| | - Yongjie Wu
- College of Life Science, Sichuan University, No. 29 Wangjiang Road, Wuhou District, Chengdu 610064, PR China.
| | - Anderson Fejió
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, PR China
| | - Lin Xia
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, PR China.
| | - Jilong Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, PR China.
| | - Xingwen Peng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, PR China; Graduate University of Chinese Academy of Sciences, No. 19 Yuquan Road, Beijing 100049, PR China.
| | - Qian Zhang
- Appraisal Center for Environment and Engineering, Ministry of Ecology and Environment, No. 28 Beiyuan Road, Beijing 100012, PR China.
| | - Zejun Zhang
- Key Laboratory of Southwest China Wildlife Resources Conservation, Ministry of Education, China West Normal University, No. 1 Shida Road, Nanchong 637002, PR China
| | - Jianghong Ran
- College of Life Science, Sichuan University, No. 29 Wangjiang Road, Wuhou District, Chengdu 610064, PR China
| | - Deyan Ge
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, PR China.
| | - Qisen Yang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, PR China.
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16
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Henriksen MV, Latombe G, Chapple DG, Chown SL, McGeoch MA. A multi-site method to capture turnover in rare to common interactions in bipartite species networks. J Anim Ecol 2021; 91:404-416. [PMID: 34800042 DOI: 10.1111/1365-2656.13639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 11/09/2021] [Indexed: 12/01/2022]
Abstract
Ecological network structure is maintained by a generalist core of common species. However, rare species contribute substantially to both the species and functional diversity of networks. Capturing changes in species composition and interactions, measured as turnover, is central to understanding the contribution of rare and common species and their interactions. Due to a large contribution of rare interactions, the pairwise metrics used to quantify interaction turnover are, however, sensitive to compositional change in the interactions of, often rare, peripheral specialists rather than common generalists in the network. Here we expand on pairwise interaction turnover using a multi-site metric that enables quantifying turnover in rare to common interactions (in terms of occurrence of interactions). The metric further separates this turnover into interaction turnover due to species turnover and interaction rewiring. We demonstrate the application and value of this method using a host-parasitoid system sampled along gradients of environmental modification. In the study system, both the type and amount of habitat needed to maintain interaction composition depended on the properties of the interactions considered, that is, from rare to common. The analyses further revealed the potential of host switching to prevent or delay species loss, and thereby buffer the system from perturbation. Multi-site interaction turnover provides a comprehensive measure of network change that can, for example, detect ecological thresholds to habitat loss for rare to common interactions. Accurate description of turnover in common, in addition to rare, species and their interactions is particularly relevant for understanding how network structure and function can be maintained.
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Affiliation(s)
- Marie V Henriksen
- School of Biological Sciences, Monash University, Clayton, Vic., Australia.,Department of Landscape and Biodiversity, Norwegian Institute of Bioeconomy Research, Trondheim, Norway
| | - Guillaume Latombe
- School of Biological Sciences, Monash University, Clayton, Vic., Australia.,Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh, UK
| | - David G Chapple
- School of Biological Sciences, Monash University, Clayton, Vic., Australia
| | - Steven L Chown
- School of Biological Sciences, Monash University, Clayton, Vic., Australia
| | - Melodie A McGeoch
- School of Biological Sciences, Monash University, Clayton, Vic., Australia.,Department of Ecology, Environment and Evolution, Centre for Future Landscapes, La Trobe University, Melbourne, Vic., Australia
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17
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Riva F, Mammola S. Rarity facets of biodiversity: Integrating Zeta diversity and Dark diversity to understand the nature of commonness and rarity. Ecol Evol 2021; 11:13912-13919. [PMID: 34707827 PMCID: PMC8525081 DOI: 10.1002/ece3.8096] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/05/2021] [Accepted: 08/26/2021] [Indexed: 11/26/2022] Open
Abstract
Measuring commonness and rarity is pivotal to ecology and conservation. Zeta diversity, the average number of species shared by multiple sets of assemblages, and Dark diversity, the number of species that could occur in an assemblage but are missing, have been recently proposed to capture two aspects of the commonness-rarity spectrum. Despite a shared focus on commonness and rarity, thus far, Zeta and Dark diversities have been assessed separately. Here, we review these two frameworks and suggest their integration into a unified paradigm of the "rarity facets of biodiversity." This can be achieved by partitioning Alpha and Beta diversities into five components (the Zeta, Eta, Theta, Iota, and Kappa rarity facets) defined based on the commonness and rarity of species. Each facet is assessed in traditional and multiassemblage fashions to bridge conceptual differences between Dark diversity and Zeta diversity. We discuss applications of the rarity facets including comparing the taxonomic, functional, and phylogenetic diversity of rare and common species, or measuring species' prevalence in different facets as a metric of species rarity. The rarity facets integrate two emergent paradigms in biodiversity science to better understand the ecology of commonness and rarity, an important endeavor in a time of widespread changes in biodiversity across the Earth.
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Affiliation(s)
- Federico Riva
- Geomatics and Landscape Ecology LaboratoryDepartment of BiologyCarleton UniversityOttawaONCanada
- InsectariumMontreal Space for LifeMontrealQCCanada
| | - Stefano Mammola
- Laboratory for Integrative Biodiversity Research (LIBRe)Finnish Museum of Natural History (LUOMUS)University of HelsinkiHelsinkiFinland
- Molecular Ecology Group (MEG)Water Research Institute (IRSA)National Research Council (CNR)PallanzaItaly
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18
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Chen YJ, Leung PM, Wood JL, Bay SK, Hugenholtz P, Kessler AJ, Shelley G, Waite DW, Franks AE, Cook PLM, Greening C. Metabolic flexibility allows bacterial habitat generalists to become dominant in a frequently disturbed ecosystem. THE ISME JOURNAL 2021; 15:2986-3004. [PMID: 33941890 PMCID: PMC8443593 DOI: 10.1038/s41396-021-00988-w] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 03/25/2021] [Accepted: 04/09/2021] [Indexed: 02/03/2023]
Abstract
Ecological theory suggests that habitat disturbance differentially influences distributions of habitat generalist and specialist species. While well-established for macroorganisms, this theory has rarely been explored for microorganisms. Here we tested these principles in permeable (sandy) sediments, ecosystems with much spatiotemporal variation in resource availability and physicochemical conditions. Microbial community composition and function were profiled in intertidal and subtidal sediments using 16S rRNA gene amplicon sequencing and metagenomics, yielding 135 metagenome-assembled genomes. Community composition and metabolic traits modestly varied with sediment depth and sampling date. Several taxa were highly abundant and prevalent in all samples, including within the orders Woeseiales and Flavobacteriales, and classified as habitat generalists; genome reconstructions indicate these taxa are highly metabolically flexible facultative anaerobes and adapt to resource variability by using different electron donors and acceptors. In contrast, obligately anaerobic taxa such as sulfate reducers and candidate lineage MBNT15 were less abundant overall and only thrived in more stable deeper sediments. We substantiated these findings by measuring three metabolic processes in these sediments; whereas the habitat generalist-associated processes of sulfide oxidation and fermentation occurred rapidly at all depths, the specialist-associated process of sulfate reduction was restricted to deeper sediments. A manipulative experiment also confirmed habitat generalists outcompete specialist taxa during simulated habitat disturbance. Together, these findings show metabolically flexible habitat generalists become dominant in highly dynamic environments, whereas metabolically constrained specialists are restricted to narrower niches. Thus, an ecological theory describing distribution patterns for macroorganisms likely extends to microorganisms. Such findings have broad ecological and biogeochemical ramifications.
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Affiliation(s)
- Ya-Jou Chen
- Department of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, Australia
- School of Biological Sciences, Monash University, Clayton, VIC, Australia
- Department of Natural Resources Sciences, McGill University, Sainte-Anne-de-Bellevue, QC, Canada
| | - Pok Man Leung
- Department of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, Australia
- School of Biological Sciences, Monash University, Clayton, VIC, Australia
| | - Jennifer L Wood
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, VIC, Australia
| | - Sean K Bay
- Department of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, Australia
- School of Biological Sciences, Monash University, Clayton, VIC, Australia
| | - Philip Hugenholtz
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia
| | - Adam J Kessler
- Water Studies Centre, School of Chemistry, Monash University, Clayton, VIC, Australia
- School of Earth, Atmosphere and Environment, Monash University, Clayton, VIC, Australia
| | - Guy Shelley
- School of Biological Sciences, Monash University, Clayton, VIC, Australia
| | - David W Waite
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Ashley E Franks
- Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, VIC, Australia
| | - Perran L M Cook
- Water Studies Centre, School of Chemistry, Monash University, Clayton, VIC, Australia.
| | - Chris Greening
- Department of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, Australia.
- School of Biological Sciences, Monash University, Clayton, VIC, Australia.
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19
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Marion ZH, Orwin KH, Wood JR, Holdaway RJ, Dickie IA. Land use, but not distance, drives fungal beta diversity. Ecology 2021; 102:e03487. [PMID: 34289082 DOI: 10.1002/ecy.3487] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 04/22/2021] [Accepted: 05/25/2021] [Indexed: 11/06/2022]
Abstract
Fungi are one of the most diverse taxonomic groups on the planet, but much of their diversity and community organization remains unknown, especially at local scales. Indeed, a consensus on how fungal communities change across spatial or temporal gradients-beta diversity-remains nascent. Here, we use a data set of plant-associated fungal communities (leaf, root, and soil) across multiple land uses from a New Zealand-wide study to look at fungal community turnover at small spatial scales (<1 km). Using hierarchical Bayesian beta regressions and Hill-number-based diversity profiles, we show that fungal communities are often markedly dissimilar at even small distances, regardless of land use. Moreover, diversity profile plots indicate that leaf, root, and soil-associated communities show different patterns in the dominance or rarity of dissimilar species. Leaf-associated communities differed from site to site in their low-abundance species, whereas root-associated communities differed between sites in the dominant species; soil-associated communities were intermediate. Land-use differences were largely driven by the lower turnover between high-productivity grassland sites. Further, we discuss the implications and benefits of using diversity profile plots of turnover to draw inferences into the mechanisms of how communities are structured across spatial gradients.
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Affiliation(s)
- Zachary H Marion
- Bio-Protection Research Centre, School of Biological Sciences, University of Canterbury, 4800 Private Bag, Christchurch, 8140, New Zealand
| | - Kate H Orwin
- Manaaki Whenua-Landcare Research, P.O. Box 69040, Lincoln, 7640, New Zealand
| | - Jamie R Wood
- Manaaki Whenua-Landcare Research, P.O. Box 69040, Lincoln, 7640, New Zealand
| | - Robert J Holdaway
- Manaaki Whenua-Landcare Research, P.O. Box 69040, Lincoln, 7640, New Zealand
| | - Ian A Dickie
- Bio-Protection Research Centre, School of Biological Sciences, University of Canterbury, 4800 Private Bag, Christchurch, 8140, New Zealand
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20
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Sitzia T, Iacopino S, Burrascano S, Campagnaro T, Celesti‐Grapow L, Bacchetti C, Cierjacks A, Kowarik I, von der Lippe M, Trentanovi G. Exploring the biotic homogenization and diversity resistance hypotheses: The understorey of non‐native and native woodland canopies in three urban areas of Europe. DIVERS DISTRIB 2021. [DOI: 10.1111/ddi.13365] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
- Tommaso Sitzia
- Department Land, Environment, Agriculture and Forestry Università degli Studi di Padova Legnaro Italy
| | - Simone Iacopino
- Department Land, Environment, Agriculture and Forestry Università degli Studi di Padova Legnaro Italy
| | - Sabina Burrascano
- Department of Environmental Biology Sapienza Università di Roma Roma Italy
| | - Thomas Campagnaro
- Department Land, Environment, Agriculture and Forestry Università degli Studi di Padova Legnaro Italy
| | | | - Cecilia Bacchetti
- Department of Environmental Biology Sapienza Università di Roma Roma Italy
| | - Arne Cierjacks
- University of Applied Sciences (HTW) Dresden Dresden Germany
| | - Ingo Kowarik
- Institute of Ecology Technische Universität Berlin Berlin Germany
| | | | - Giovanni Trentanovi
- Department Land, Environment, Agriculture and Forestry Università degli Studi di Padova Legnaro Italy
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21
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Buckley HL, Day NJ, Case BS, Lear G. Measuring change in biological communities: multivariate analysis approaches for temporal datasets with low sample size. PeerJ 2021; 9:e11096. [PMID: 33889442 PMCID: PMC8038644 DOI: 10.7717/peerj.11096] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 02/22/2021] [Indexed: 12/03/2022] Open
Abstract
Effective and robust ways to describe, quantify, analyse, and test for change in the structure of biological communities over time are essential if ecological research is to contribute substantively towards understanding and managing responses to ongoing environmental changes. Structural changes reflect population dynamics, changes in biomass and relative abundances of taxa, and colonisation and extinction events observed in samples collected through time. Most previous studies of temporal changes in the multivariate datasets that characterise biological communities are based on short time series that are not amenable to data-hungry methods such as multivariate generalised linear models. Here, we present a roadmap for the analysis of temporal change in short-time-series, multivariate, ecological datasets. We discuss appropriate methods and important considerations for using them such as sample size, assumptions, and statistical power. We illustrate these methods with four case-studies analysed using the R data analysis environment.
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Affiliation(s)
- Hannah L. Buckley
- School of Science, Auckland University of Technology, Auckland, New Zealand
| | - Nicola J. Day
- School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand
| | - Bradley S. Case
- School of Science, Auckland University of Technology, Auckland, New Zealand
| | - Gavin Lear
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
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22
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Compositional turnover in ecto- and endoparasite assemblages of an African bat, Miniopterus natalensis (Chiroptera, Miniopteridae): effects of hierarchical scale and host sex. Parasitology 2020; 147:1728-1742. [PMID: 32867864 DOI: 10.1017/s0031182020001602] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
We studied the compositional turnover in infracommunities and component communities of ecto- and endoparasites infesting a bat, Miniopterus natalensis (Chiroptera, Miniopteridae), across seven sampling sites using the zeta diversity metric (measuring similarity between multiple communities) and calculating zeta decline and retention rate (both scales) and zeta decay (component communities). We asked whether the patterns of zeta diversity differ between (a) infracommunities and component communities; (b) ecto- and endoparasites and (c) subsets of communities infecting male and female bats. The pattern of compositional turnover differed between infracommunities and component communities in endoparasites only. The shape of zeta decline for infracommunities indicated that there were approximately equal probabilities of ecto- and endoparasitic species to occur on/in any bat individual within a site. The shape of zeta decline for component communities suggested the stochasticity of ectoparasite turnover, whereas the turnover of endoparasites was driven by niche-based processes. Compositional turnover in component communities of ectoparasites was more spatially dependent than that of endoparasites. Spatial independence of compositional turnover in endoparasites was due to subcommunities harboured by female bats. We conclude that the patterns of compositional turnover in infracommunities were similar in ecto- and endoparasites, whereas the patterns of turnover in component communities differed between these groups.
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23
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Bay SK, McGeoch MA, Gillor O, Wieler N, Palmer DJ, Baker DJ, Chown SL, Greening C. Soil Bacterial Communities Exhibit Strong Biogeographic Patterns at Fine Taxonomic Resolution. mSystems 2020; 5:e00540-20. [PMID: 32694128 PMCID: PMC7566276 DOI: 10.1128/msystems.00540-20] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 06/26/2020] [Indexed: 01/04/2023] Open
Abstract
Bacteria have been inferred to exhibit relatively weak biogeographic patterns. To what extent such findings reflect true biological phenomena or methodological artifacts remains unclear. Here, we addressed this question by analyzing the turnover of soil bacterial communities from three data sets. We applied three methodological innovations: (i) design of a hierarchical sampling scheme to disentangle environmental from spatial factors driving turnover; (ii) resolution of 16S rRNA gene amplicon sequence variants to enable higher-resolution community profiling; and (iii) application of the new metric zeta diversity to analyze multisite turnover and drivers. At fine taxonomic resolution, rapid compositional turnover was observed across multiple spatial scales. Turnover was overwhelmingly driven by deterministic processes and influenced by the rare biosphere. The communities also exhibited strong distance decay patterns and taxon-area relationships, with z values within the interquartile range reported for macroorganisms. These biogeographical patterns were weakened upon applying two standard approaches to process community sequencing data: clustering sequences at 97% identity threshold and/or filtering the rare biosphere (sequences lower than 0.05% relative abundance). Comparable findings were made across local, regional, and global data sets and when using shotgun metagenomic markers. Altogether, these findings suggest that bacteria exhibit strong biogeographic patterns, but these signals can be obscured by methodological limitations. We advocate various innovations, including using zeta diversity, to advance the study of microbial biogeography.IMPORTANCE It is commonly thought that bacterial distributions show lower spatial variation than for multicellular organisms. In this article, we present evidence that these inferences are artifacts caused by methodological limitations. Through leveraging innovations in sampling design, sequence processing, and diversity analysis, we provide multifaceted evidence that bacterial communities in fact exhibit strong distribution patterns. This is driven by selection due to factors such as local soil characteristics. Altogether, these findings suggest that the processes underpinning diversity patterns are more unified across all domains of life than previously thought, which has broad implications for the understanding and management of soil biodiversity.
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Affiliation(s)
- Sean K Bay
- School of Biological Sciences, Monash University, Clayton, VIC, Australia
- Department of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, Australia
| | - Melodie A McGeoch
- School of Biological Sciences, Monash University, Clayton, VIC, Australia
| | - Osnat Gillor
- Zuckerberg Institute for Water Research, Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sde Boker, Israel
| | - Nimrod Wieler
- Zuckerberg Institute for Water Research, Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sde Boker, Israel
| | - David J Palmer
- School of Biological Sciences, Monash University, Clayton, VIC, Australia
| | - David J Baker
- School of Biological Sciences, Monash University, Clayton, VIC, Australia
| | - Steven L Chown
- School of Biological Sciences, Monash University, Clayton, VIC, Australia
| | - Chris Greening
- School of Biological Sciences, Monash University, Clayton, VIC, Australia
- Department of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, Australia
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24
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Krasnov BR, Korallo-Vinarskaya NP, Vinarski MV, Khokhlova IS. Spatial and temporal turnover of parasite species and parasite-host interactions: a case study with fleas and gamasid mites parasitic on small mammals. Parasitol Res 2020; 119:2093-2104. [PMID: 32462294 DOI: 10.1007/s00436-020-06726-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 05/20/2020] [Indexed: 10/24/2022]
Abstract
We studied patterns of ectoparasite species turnover and pairwise ectoparasite-host interactions across space and time in fleas and mites harboured by small mammals using a novel metric, zeta diversity (similarity between multiple communities). We asked whether the zeta diversity of parasites and their interactions with hosts follow a similar spatial or temporal trend. We found substantial differences in some (zeta decline and retention rate) but not in other (zeta decay) spatial patterns of zeta diversity between species and interactions, whereas the differences between the patterns of the temporal species versus interaction zeta diversity occurred to a much lesser extent. In particular, the parametric form of zeta decline suggested that the distribution of ectoparasite species across localities is driven mainly by niche-based processes, whereas the spatial distribution of flea-host and mite-host interactions is predominantly stochastic. We also found much stronger variation in the number of shared species and interactions over space than over time. Parasite community composition, in terms of species, appeared to be much more temporally stable than that in terms of parasite-host interactions. The parametric form of temporal zeta decline indicated that both parasite communities and parasite-host networks are assembled over time via niche-based processes.
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Affiliation(s)
- Boris R Krasnov
- Mitrani Department of Desert Ecology, Swiss Institute for Dryland Environmental and Energy Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel.
| | - Natalia P Korallo-Vinarskaya
- Laboratory of Arthropod-Borne Viral Infections, Omsk Research Institute of Natural Foci Infections, Omsk, Russian Federation.,Omsk State Pedagogical University, Omsk, Russian Federation
| | - Maxim V Vinarski
- Laboratory of Macroecology and Biogeography of Invertebrates, Saint Petersburg State University, Saint Petersburg, Russian Federation.,Omsk State University, Omsk, Russian Federation
| | - Irina S Khokhlova
- Wyler Department of Dryland Agriculture, French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel
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25
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Krasnov BR, Vinarski MV, Korallo-Vinarskaya NP, Khokhlova IS. Patterns of zeta diversity in ectoparasite communities harboured by small mammals at three hierarchical scales: taxon-invariance and scale-dependence. Oecologia 2020; 192:1057-1071. [PMID: 32248505 DOI: 10.1007/s00442-020-04641-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 03/30/2020] [Indexed: 01/24/2023]
Abstract
We studied compositional turnover in communities of fleas and mites harboured by small mammals using zeta diversity metric (similarity between multiple communities) and asked whether the patterns of zeta diversity decline with an increase in the number of communities differ between taxa and hierarchical scales [infracommunities (parasite assemblages on individual hosts), component communities (parasite assemblages harboured by host populations), and compound communities (all parasite species in a locality)]. The average number of shared species declined with an increasing number of communities (zeta order). It attained zero at higher orders in infracommunities of both taxa with the shape of the zeta decline being best fitted by the negative exponential function, and the retention rate curves being modal. In contrast, zeta diversity values for compound communities of mites and fleas did not attain zero at higher zeta orders, and the form of the zeta decline was best fitted by the power-law function, whereas the retention rate curves were asymptotic. In component communities, the form of zeta decline was best fitted by either exponential or power-law function in dependence of whether communities were considered within a host across localities or across hosts within a locality and whether ubiquitous species were taken into account. Our main conclusions are that (a) the rules governing compositional turnover in parasite communities for the lowest and the highest hierarchical scales are taxon-invariant but scale-dependent and (b) species composition of infracommunities is mainly driven by stochastic assembly processed, whereas that of compound communities is mainly driven by niche-based processes.
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Affiliation(s)
- Boris R Krasnov
- Mitrani Department of Desert Ecology, Swiss Institute of Dryland Environmental and Energy Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 84990, Midreshet Ben-Gurion, Israel.
| | - Maxim V Vinarski
- Laboratory of Macroecology and Biogeography of Invertebrates, Saint-Petersburg State University, University Emb. 7/9, 199034, Saint-Petersburg, Russia.,Omsk State University, Neftezavodskaya Str. 11, 644053, Omsk, Russia
| | - Natalia P Korallo-Vinarskaya
- Laboratory of Arthropod-Borne Viral Infections, Omsk Research Institute of Natural Foci Infections, Mira str. 7, 644080, Omsk, Russia.,Omsk State Pedagogical University, Tukhachevskogo Emb. 14, 644099, Omsk, Russia
| | - Irina S Khokhlova
- Wyler Department of Dryland Agriculture, French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 84990, Midreshet Ben-Gurion, Israel
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26
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Krasnov BR, Shenbrot GI, van der Mescht L, Khokhlova IS. Drivers of compositional turnover are related to species' commonness in flea assemblages from four biogeographic realms: zeta diversity and multi-site generalised dissimilarity modelling. Int J Parasitol 2020; 50:331-344. [PMID: 32224122 DOI: 10.1016/j.ijpara.2020.03.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 02/19/2020] [Accepted: 03/03/2020] [Indexed: 11/28/2022]
Abstract
We investigated drivers of species turnover in fleas parasitic on small mammals in four biogeographic realms using novel methodology (zeta diversity, and Multi-Site Generalised Dissimilarity Modelling). We asked whether (i) flea turnover was better explained by host turnover or environmental variables; (ii) different factors drive the turnover of rare and widespread fleas; (iii) the factors affecting the turnover of rare or widespread fleas differ between realms; and (iv) environmental variables drive flea turnover directly or via their effects on hosts. Dissimilarity in host species composition was the most important factor affecting flea turnover in all realms. In the Afrotropics, the Nearctic, and the Neotropics, this was true mainly for rare species, whereas the zeta diversity of the Palearctic hosts exerted a strong effect on the turnover of both rare and widespread fleas. Dissimilarity in temperature contributed the most to the turnover of rare fleas in the Neotropics and the Palearctic, whereas the turnover of widespread species in these realms was strongly affected by dissimilarity in precipitation. In the Nearctic, dissimilarity in precipitation or temperature mostly affected the turnover of rare fleas or common species, respectively. In the Afrotropics, dissimilarity in the Normalised Difference Vegetation Index and temperature affected the turnover of all species, independently of their level of commonness, while dissimilarity in rainfall was important for the turnover of rare fleas. The responses of flea assemblages to environmental factors represented a combination of direct responses and responses mediated via effects on host turnover. We conclude that host turnover is a more important factor than environmental dissimilarity in its effect on flea species turnover. However, the relative effects of host composition and environment, as well as those of temperature, precipitation and the amount of vegetation, on flea turnover differ (i) between realms and (ii) between rare and common fleas.
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Affiliation(s)
- Boris R Krasnov
- Mitrani Department of Desert Ecology, Swiss Institute of Dryland Environmental and Energy Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel.
| | - Georgy I Shenbrot
- Mitrani Department of Desert Ecology, Swiss Institute of Dryland Environmental and Energy Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel
| | - Luther van der Mescht
- Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
| | - Irina S Khokhlova
- Wyler Department of Dryland Agriculture, French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel
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27
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Habitat Islands on the Aegean Islands (Greece): Elevational Gradient of Chasmophytic Diversity, Endemism, Phytogeographical Patterns and need for Monitoring and Conservation. DIVERSITY-BASEL 2020. [DOI: 10.3390/d12010033] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
The Aegean archipelago, characterized as a natural laboratory for research concerning plant species diversity and phytogeography has a complex geological and paleogeographical history that varies among its phytogeographical areas. A different combination of factors of variable intensity and duration time drives patterns of its impressive plant species richness and endemism. Cliffs, a conspicuous feature of the Aegean landscape, consist of biologically closed communities that serve as refugia for obligate chasmophytes, the majority of which are Greek or Aegean endemics, and for this reason, they are also considered as habitat islands on the Aegean islands. A synoptic analysis is presented concerning chasmophytic plant diversity focusing on endemic obligate chasmophytes. Phytogeographical patterns of obligate chasmophytes, and especially the endemic ones as well as their elevational range and distribution and zeta diversity, are analyzed and discussed in the frame of climatic change, mentioning that the most threatened endemic obligate chasmophytes are those specialized in high elevation areas, and focusing on the need for monitoring and conservation.
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28
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Ascensão F, Latombe G, Anadón JD, Abellán P, Cardador L, Carrete M, Tella JL, Capinha C. Drivers of compositional dissimilarity for native and alien birds: the relative roles of human activity and environmental suitability. Biol Invasions 2020. [DOI: 10.1007/s10530-020-02196-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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29
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Patterns and drivers of species richness and turnover of neo-endemic and palaeo-endemic vascular plants in a Mediterranean hotspot: the case of Crete, Greece. ACTA ACUST UNITED AC 2019; 26:12. [PMID: 31720249 PMCID: PMC6833306 DOI: 10.1186/s40709-019-0106-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 10/23/2019] [Indexed: 11/10/2022]
Abstract
Background Exploring species richness and turnover patterns and their drivers can provide new insights into underlying mechanisms shaping community assembly, with significant implications for biodiversity conservation. Here, we explored diversity patterns of non-endemic, neo-endemic and palaeo-endemic vascular plants in Crete, Greece, a Mediterranean hotspot of plant richness and endemism. We evaluated the relationship between α-diversity and environmental (bioclimatic variables, topography), and anthropogenic variables by Generalized Additive Models, after accounting for spatial autocorrelation. Then, we quantified turnover using the novel concept of zeta diversity (the number of shared species by multiple sites), a framework which allows to explore the full spectrum of compositional turnover, the contribution of rare and widespread species to observed patterns and the underlying processes shaping them. Finally, we explored the abiotic and biotic effects, i.e. how well one category of species (non-endemics, palaeo-endemics, neo-endemics) predicts the patterns of the other categories, on zeta diversity by multi-site Generalized Dissimilarity Modelling. Results We found a strong correlation between neo-endemic and palaeo-endemic α-diversity, with climate, topography, and human impact driving species richness. Zeta diversity analysis revealed a sharper decrease of shared palaeo-endemic species, followed by neo-endemics, and then by non-endemics with the number of sites considered to estimate compositional turnover. Perhaps, the narrow distributions of palaeo-endemics as relict species and often habitat specialists, thus persisting locally, and of neo-endemics that may have not reached yet their potential geographical range, resulted in the observed zeta diversity decline pattern. Deterministic processes controlled species turnover of rare non-endemic and neo-endemic species, while deterministic and stochastic processes contributed similarly to palaeo-endemic turnover. However, stochasticity dominates in the case of widespread species in all occasions. The environmental and anthropogenic variables were poor predictors of compositional turnover, especially of widespread species. However, the non-endemic species composition was correlated to rare palaeo-endemics and neo-endemics, highlighting the importance of biotic effects in driving turnover patterns. Conclusions It seems that centers of neo-endemism of vascular plants coincide with centers of palaeo-endemism in Crete, but species richness and species turnover are shaped by different drivers.
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30
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Lu M, Vasseur D, Jetz W. Beta Diversity Patterns Derived from Island Biogeography Theory. Am Nat 2019; 194:E52-E65. [DOI: 10.1086/704181] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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31
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McGeoch MA, Latombe G, Andrew NR, Nakagawa S, Nipperess DA, Roigé M, Marzinelli EM, Campbell AH, Vergés A, Thomas T, Steinberg PD, Selwood KE, Henriksen MV, Hui C. Measuring continuous compositional change using decline and decay in zeta diversity. Ecology 2019; 100:e02832. [PMID: 31323117 DOI: 10.1002/ecy.2832] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 05/24/2019] [Accepted: 06/13/2019] [Indexed: 12/21/2022]
Abstract
Incidence, or compositional, matrices are generated for a broad range of research applications in biology. Zeta diversity provides a common currency and conceptual framework that links incidence-based metrics with multiple patterns of interest in biology, ecology, and biodiversity science. It quantifies the variation in species (or OTU) composition of multiple assemblages (or cases) in space or time, to capture the contribution of the full suite of narrow, intermediate, and wide-ranging species to biotic heterogeneity. Here we provide a conceptual framework for the application and interpretation of patterns of continuous change in compositional diversity using zeta diversity. This includes consideration of the survey design context, and the multiple ways in which zeta diversity decline and decay can be used to examine and test turnover in the identity of elements across space and time. We introduce the zeta ratio-based retention rate curve to quantify rates of compositional change. We illustrate these applications using 11 empirical data sets from a broad range of taxa, scales, and levels of biological organization-from DNA molecules and microbes to communities and interaction networks-including one of the original data sets used to express compositional change and distance decay in ecology. We show (1) how different sample selection schemes used during the calculation of compositional change are appropriate for different data types and questions, (2) how higher orders of zeta may in some cases better detect shifts and transitions, and (3) the relative roles of rare vs. common species in driving patterns of compositional change. By exploring the application of zeta diversity decline and decay, including the retention rate, across this broad range of contexts, we demonstrate its application for understanding continuous turnover in biological systems.
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Affiliation(s)
- Melodie A McGeoch
- School of Biological Sciences, Monash University, Clayton, Victoria, 3800, Australia
| | - Guillaume Latombe
- School of Biological Sciences, Monash University, Clayton, Victoria, 3800, Australia
| | - Nigel R Andrew
- Zoology, University of New England, Armidale, New South Wales, 2351, Australia
| | - Shinichi Nakagawa
- Evolution and Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.,Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, 2010, Australia
| | - David A Nipperess
- Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, 2109, Australia
| | - Mariona Roigé
- National Centre for Advanced Bio-Protection Technologies, Lincoln University, Canterbury, 7647, New Zealand
| | - Ezequiel M Marzinelli
- Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.,Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia.,School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, 2006, Australia
| | - Alexandra H Campbell
- Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.,Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia
| | - Adriana Vergés
- Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.,Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia
| | - Torsten Thomas
- Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Peter D Steinberg
- Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.,Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia.,School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, 2006, Australia
| | - Katherine E Selwood
- School of Biosciences, University of Melbourne, Parkville, Victoria, 3010, Australia.,Wildlife and Conservation Science, Zoos Victoria, Parkville, Victoria, 3052, Australia
| | - Marie V Henriksen
- School of Biological Sciences, Monash University, Clayton, Victoria, 3800, Australia
| | - Cang Hui
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Matieland, 7602, South Africa.,African Institute for Mathematical Sciences, Cape Town, 7945, South Africa
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Simons AL, Mazor R, Stein ED, Nuzhdin S. Using alpha, beta, and zeta diversity in describing the health of stream-based benthic macroinvertebrate communities. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2019; 29:e01896. [PMID: 31051052 DOI: 10.1002/eap.1896] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 02/08/2019] [Accepted: 02/25/2019] [Indexed: 06/09/2023]
Abstract
Ecological monitoring of streams has frequently focused on measures describing the taxonomic, and sometimes functional, α diversity of benthic macroinvertebrates (BMIs) within a single sampled community. However, as many ecological processes effectively link BMI stream communities there is a need to describe groups of communities using measures of regional diversity. Here we demonstrate a role for incorporating both a traditional pairwise measure of community turnover, β diversity, in assessing community health as well as ζ diversity, a more generalized framework for describing similarity between multiple communities. Using 4,395 samples of BMI stream communities in California, we constructed a model using measures of α, β, and ζ diversity, which accounted for 71.7% of among-watershed variation in the mean health of communities, as described by the California Streams Condition Index (CSCI). We also investigated the use of ζ diversity in assessing models of stochastic vs. niche assembly across communities of BMIs within watersheds, with the niche assembly model found to be the likelier of the two.
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Affiliation(s)
- Ariel Levi Simons
- Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, 90089-2910, USA
| | - Raphael Mazor
- Southern California Coastal Water Research Project, 3535 Harbor Blvd., Suite 110, Costa Mesa, California, 92626, USA
| | - Eric D Stein
- Southern California Coastal Water Research Project, 3535 Harbor Blvd., Suite 110, Costa Mesa, California, 92626, USA
| | - Sergey Nuzhdin
- Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, 90089-2910, USA
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Latombe G, Richardson DM, Pyšek P, Kučera T, Hui C. Drivers of species turnover vary with species commonness for native and alien plants with different residence times. Ecology 2018; 99:2763-2775. [DOI: 10.1002/ecy.2528] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 08/06/2018] [Accepted: 08/30/2018] [Indexed: 11/11/2022]
Affiliation(s)
- Guillaume Latombe
- Department of Mathematical Sciences Centre for Invasion Biology Stellenbosch University Matieland 7600 South Africa
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Matieland 7600 South Africa
| | - David M. Richardson
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Matieland 7600 South Africa
| | - Petr Pyšek
- Department of Invasion Ecology The Czech Academy of Sciences Institute of Botany CZ‐252 43 Průhonice Czech Republic
- Department of Ecology Faculty of Science Charles University Viničná 7 CZ‐128 44 Praha2 Czech Republic
| | - Tomáš Kučera
- Department of Ecosystem Biology Faculty of Science University of South Bohemia Branišovská 1760, CZ‐370 05 České Budějovice Czech Republic
| | - Cang Hui
- Department of Mathematical Sciences Centre for Invasion Biology Stellenbosch University Matieland 7600 South Africa
- Theoretical Ecology Group African Institute for Mathematical Sciences Cape Town 7945 South Africa
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34
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Rocchini D, Luque S, Pettorelli N, Bastin L, Doktor D, Faedi N, Feilhauer H, Féret J, Foody GM, Gavish Y, Godinho S, Kunin WE, Lausch A, Leitão PJ, Marcantonio M, Neteler M, Ricotta C, Schmidtlein S, Vihervaara P, Wegmann M, Nagendra H. Measuring β‐diversity by remote sensing: A challenge for biodiversity monitoring. Methods Ecol Evol 2018. [DOI: 10.1111/2041-210x.12941] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Duccio Rocchini
- Center Agriculture Food Environment University of Trento S. Michele all’Adige (TN) Italy
- Centre for Integrative Biology University of Trento Povo (TN) Italy
- Department of Biodiversity and Molecular Ecology Fondazione Edmund Mach, Research and Innovation Centre S. Michele all’Adige (TN) Italy
| | - Sandra Luque
- UMR‐TETIS, IRSTEA Montpellier, Maison de la Télédétection Montpellier Cedex 5 France
| | | | - Lucy Bastin
- School of Computer Science Aston University Birmingham UK
| | - Daniel Doktor
- Department Computational Landscape Ecology Helmholtz Centre for Environmental Research – UFZ Leipzig Germany
| | - Nicolò Faedi
- Department of Biodiversity and Molecular Ecology Fondazione Edmund Mach, Research and Innovation Centre S. Michele all’Adige (TN) Italy
- Department of Computer Science and Engineering University of Bologna Bologna Italy
| | - Hannes Feilhauer
- Institut für Geographie Friedrich‐Alexander Universität Erlangen‐Nürnberg Erlangen Germany
| | - Jean‐Baptiste Féret
- UMR‐TETIS, IRSTEA Montpellier, Maison de la Télédétection Montpellier Cedex 5 France
| | - Giles M. Foody
- School of Geography University of Nottingham Nottingham UK
| | - Yoni Gavish
- School of Biology, Faculty of biological Science University of Leeds Leeds UK
| | - Sergio Godinho
- Institute of Mediterranean Agricultural and Environmental Sciences (ICAAM) Universidade de Evora Evora Portugal
| | | | - Angela Lausch
- Department Computational Landscape Ecology Helmholtz Centre for Environmental Research – UFZ Leipzig Germany
| | - Pedro J. Leitão
- Department Landscape Ecology and Environmental System Analysis Technische Universität Braunschweig Braunschweig Germany
- Geography Department Humboldt‐Universität zu Berlin Berlin Germany
| | - Matteo Marcantonio
- Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine University of California Davis CA USA
| | | | - Carlo Ricotta
- Department of Environmental Biology University of Rome “La Sapienza” Rome Italy
| | - Sebastian Schmidtlein
- Karlsruher Institut für Technologie (KIT), Institut für Geographie und Geoökologie Karlsruhe Germany
| | - Petteri Vihervaara
- Natural Environment Centre Finnish Environment Institute (SYKE) Helsinki Finland
| | - Martin Wegmann
- Department of Remote Sensing, Remote Sensing and Biodiversity Research Group University of Wuerzburg Wuerzburg Germany
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35
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Kunin WE, Harte J, He F, Hui C, Jobe RT, Ostling A, Polce C, Šizling A, Smith AB, Smith K, Smart SM, Storch D, Tjørve E, Ugland K, Ulrich W, Varma V. Upscaling biodiversity: estimating the species–area relationship from small samples. ECOL MONOGR 2018. [DOI: 10.1002/ecm.1284] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- William E. Kunin
- Faculty of Biological Sciences University of Leeds Leeds LS2 9JT United Kingdom
- Stellenbosch Institute for Advanced Studies (STIAS) Wallenberg Research Centre at Stellenbosch University Stellenbosch 7600 South Africa
| | - John Harte
- Energy and Resources Group and Department of Environmental Science, Policy, and Management University of California Berkeley California 94720 USA
| | - Fangliang He
- Department of Renewable Resources University of Alberta Edmonton Alberta T6G 2H1 Canada
| | - Cang Hui
- Department of Mathematical Sciences Centre for Invasion Biology Stellenbosch University, and African Institute for Mathematical Sciences Stellenbosch 7600 South Africa
| | - R. Todd Jobe
- Department of Geography University of North Carolina Chapel Hill North Carolina 27599‐3220 USA
| | - Annette Ostling
- Department of Ecology and Evolutionary Biology University of Michigan 830 North Avenue Ann Arbor MI 48109‐1048 USA
| | - Chiara Polce
- Faculty of Biological Sciences University of Leeds Leeds LS2 9JT United Kingdom
| | - Arnošt Šizling
- Center for Theoretical Study Charles University and the Academy of Sciences of the Czech Republic Jilská 1 110 00 Praha 1 Czech Republic
| | - Adam B. Smith
- Energy and Resources Group and Department of Environmental Science, Policy, and Management University of California Berkeley California 94720 USA
- Center for Conservation and Sustainable Development Missouri Botanical Garden 4344 Shaw Boulevard St. Louis Missouri 63110 USA
| | - Krister Smith
- Senkenberg Research Institute and Natural History Museum Senckenberganlage 25 60325 Frankfurt am Main Germany
| | - Simon M. Smart
- NERC Centre for Ecology and Hydrology Library Avenue, Bailrigg Lancaster LA1 4AP United Kingdom
| | - David Storch
- Center for Theoretical Study Charles University and the Academy of Sciences of the Czech Republic Jilská 1 110 00 Praha 1 Czech Republic
- Department of Ecology Faculty of Science Charles University Viničná 7 128 44 Praha 2 Czech Republic
| | - Even Tjørve
- Lillehammer University College P.O. Box 952 NO‐2604 Lillehammer Norway
| | - Karl‐Inne Ugland
- Department of Biology University of Oslo PB 1064 Blindern 0316 Oslo Norway
| | - Werner Ulrich
- Faculty of Biology and Environmental Protection Nicolaus Copernicus University Lwowska 1 87‐100 Toruń Poland
| | - Varun Varma
- Faculty of Biological Sciences University of Leeds Leeds LS2 9JT United Kingdom
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36
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Warton DI, McGeoch MA. Technical advances at the interface between ecology and statistics: improving the biodiversity knowledge generation workflow. Methods Ecol Evol 2017. [DOI: 10.1111/2041-210x.12762] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- David I. Warton
- School of Mathematics and Statistics and Evolution & Ecology Research Centre UNSW Sydney Sydney NSW 2052 Australia
| | - Melodie A. McGeoch
- School of Biological Sciences Monash University Clayton Vic. 3800 Australia
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