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Campião KM, Rico JADL, de Souza Monteiro G, Ash LV, Teixeira CP, Gotelli NJ. High prevalence and concomitant infection of Ranavirus and Eustrongylides sp. in the invasive American Bullfrog in Brazil. Parasitol Int 2024; 100:102875. [PMID: 38417736 DOI: 10.1016/j.parint.2024.102875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 03/01/2024]
Abstract
American Bullfrogs, Aquarana catesbeiana, are invasive anuran species distributed worldwide. One of the adverse impacts that this species causes in native communities is as a reservoir host for pathogens and parasites. Here, we report the coinfection of two pathogenic organisms in A. catesbeiana: Ranavirus and the nematode Eustrongylides. Bullfrogs were collected in the wild in a pond close to the urban area of São Paulo, Brazil. The prevalence of both pathogens was high: 77% were infected with ranavirus with a mean viral load of 1010.3 viral copies, and 100% of the bullfrogs were infected by Eustrongylides sp. with a mean intensity of infection of 13.4 specimens per host. Four host specimens (31%) presented pathological signs that seemed to be related to the Eustrongylides sp. infection, such as internal organs adhered to each other due to high intensity and large size of the nematodes, ulcers, and raw flesh wounds caused by the nematode. The pathogenic and concomitant infections have potential zoonotic implications and raise concerns about human infection risks for Eustrongylides infection. Moreover, such infections may represent an additional level of threat to native communities through the potential shifts in patterns of parasite and pathogen transmission. Future research involving the native anuran community is essential to ascertain whether invasive bullfrogs are attenuating or exacerbating diseases such as ranavirosis and eustrongylidiosis.
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Affiliation(s)
- Karla Magalhães Campião
- Biological interactions Lab, Department of Zoology Universidade Federal do Paraná, Curitiba, Brazil.
| | | | | | - Lauren V Ash
- University of Vermont, Department of Biology, 109 Carrigan Drive, Burlington, VT 05403, USA
| | - Cauê Pinheiro Teixeira
- Biological interactions Lab, Department of Zoology Universidade Federal do Paraná, Curitiba, Brazil
| | - Nicholas J Gotelli
- University of Vermont, Department of Biology, 109 Carrigan Drive, Burlington, VT 05403, USA
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2
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Ash LV, Campião KM, Teixeira CP, Gotelli NJ. Ranavirus and helminth parasite co-infection in invasive American bullfrogs in the Atlantic forest, Brazil. Int J Parasitol Parasites Wildl 2024; 23:100924. [PMID: 38586581 PMCID: PMC10997893 DOI: 10.1016/j.ijppaw.2024.100924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 03/10/2024] [Accepted: 03/10/2024] [Indexed: 04/09/2024]
Abstract
Emerging infectious diseases threaten amphibian species across the globe. In Brazil, the American bullfrog (Aquarana catesbeiana) is a highly invasive species that can potentially transmit parasites and pathogens to native amphibians. This is the first assessment of co-infection of Ranavirus and helminth macroparasites in invasive populations of bullfrogs in South America. We collected, measured, and euthanized 65 specimens of A. catesbeiana sampled from 9 sites across three states of Brazil in the Atlantic Forest biome. We collected and identified helminth macroparasites and sampled host liver tissue to test for the presence and load of Ranavirus with quantitative PCR. We documented patterns of prevalence, parasite load, and co-infection with generalized linear mixed models, generalized logistic regressions, and randomization tests. Most individual bullfrogs did not exhibit clinical signs of infection, but the overall Ranavirus prevalence was 27% (95% confidence interval, [CI 17-38]). Bullfrogs were infected with helminth macroparasites from 5 taxa. Co-infection of helminth macroparasites and Ranavirus was also common (21% CI [12-31]). Bullfrog size was positively correlated with total macroparasite abundance and richness, and the best-fitting model included a significant interaction between bullfrog size and Ranavirus infection status. We observed a negative correlation between Ranavirus viral load and nematode abundance (slope = -0.22, P = 0.03). Invasive bullfrogs (A. catesbeiana) in Brazil were frequently infected with both Ranavirus and helminth macroparasites, so adult bullfrogs could serve as reservoir hosts for both pathogens and parasites. However, many macroparasites collected were encysted and not developing. Coinfection patterns suggest a potential interaction between Ranavirus and macroparasites because helminth abundance increased with bullfrog size but was lower in Ranavirus infected individuals. Future studies of bullfrogs in the Atlantic Forest should investigate their potential role in pathogen and parasite transmission to native anurans.
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Affiliation(s)
- Lauren V. Ash
- University of Vermont, Department of Biology, 109 Carrigan Drive, Burlington, VT, 05403, USA
| | - Karla Magalhães Campião
- Laboratório de Interações Biológicas, Departamento de Zoologia, Universidade Federal do Paraná, UFPR, Curitiba, Paraná, Brazil
| | - Cauê Pinheiro Teixeira
- Laboratório de Interações Biológicas, Departamento de Zoologia, Universidade Federal do Paraná, UFPR, Curitiba, Paraná, Brazil
| | - Nicholas J. Gotelli
- University of Vermont, Department of Biology, 109 Carrigan Drive, Burlington, VT, 05403, USA
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Blowes SA, McGill B, Brambilla V, Chow CFY, Engel T, Fontrodona-Eslava A, Martins IS, McGlinn D, Moyes F, Sagouis A, Shimadzu H, van Klink R, Xu WB, Gotelli NJ, Magurran A, Dornelas M, Chase JM. Synthesis reveals approximately balanced biotic differentiation and homogenization. Sci Adv 2024; 10:eadj9395. [PMID: 38381832 PMCID: PMC10881054 DOI: 10.1126/sciadv.adj9395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024]
Abstract
It is commonly thought that the biodiversity crisis includes widespread declines in the spatial variation of species composition, called biotic homogenization. Using a typology relating homogenization and differentiation to local and regional diversity changes, we synthesize patterns across 461 metacommunities surveyed for 10 to 91 years, and 64 species checklists (13 to 500+ years). Across all datasets, we found that no change was the most common outcome, but with many instances of homogenization and differentiation. A weak homogenizing trend of a 0.3% increase in species shared among communities/year on average was driven by increased numbers of widespread (high occupancy) species and strongly associated with checklist data that have longer durations and large spatial scales. At smaller spatial and temporal scales, we show that homogenization and differentiation can be driven by changes in the number and spatial distributions of both rare and common species. The multiscale perspective introduced here can help identify scale-dependent drivers underpinning biotic differentiation and homogenization.
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Affiliation(s)
- Shane A. Blowes
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Brian McGill
- School of Biology and Ecology and Mitchell Center for Sustainability Solutions, University of Maine, Orono, ME, USA
| | - Viviana Brambilla
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
- Guia Marine Lab, MARE, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
| | - Cher F. Y. Chow
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
| | - Thore Engel
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger Straße 159, 07743 Jena, Germany
- Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318 Leipzig, Germany
| | - Ada Fontrodona-Eslava
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
| | - Inês S. Martins
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
- Leverhulme Centre for Anthropocene Biodiversity, Berrick Saul Second Floor, University of York, York, UK
| | - Daniel McGlinn
- Department of Biology, College of Charleston, Charleston, SC, USA
| | - Faye Moyes
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
| | - Alban Sagouis
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Hideyasu Shimadzu
- Department of Mathematical Sciences, Loughborough University, Leicestershire, UK
- Department of Data Science, Kitasato University, Kanagawa, Japan
| | - Roel van Klink
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Wu-Bing Xu
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | | | - Anne Magurran
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
| | - Maria Dornelas
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
- Guia Marine Lab, MARE, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
- Leverhulme Centre for Anthropocene Biodiversity, Berrick Saul Second Floor, University of York, York, UK
| | - Jonathan M. Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
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Dornelas M, Chase JM, Gotelli NJ, Magurran AE, McGill BJ, Antão LH, Blowes SA, Daskalova GN, Leung B, Martins IS, Moyes F, Myers-Smith IH, Thomas CD, Vellend M. Looking back on biodiversity change: lessons for the road ahead. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220199. [PMID: 37246380 DOI: 10.1098/rstb.2022.0199] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 03/24/2023] [Indexed: 05/30/2023] Open
Abstract
Estimating biodiversity change across the planet in the context of widespread human modification is a critical challenge. Here, we review how biodiversity has changed in recent decades across scales and taxonomic groups, focusing on four diversity metrics: species richness, temporal turnover, spatial beta-diversity and abundance. At local scales, change across all metrics includes many examples of both increases and declines and tends to be centred around zero, but with higher prevalence of declining trends in beta-diversity (increasing similarity in composition across space or biotic homogenization) and abundance. The exception to this pattern is temporal turnover, with changes in species composition through time observed in most local assemblages. Less is known about change at regional scales, although several studies suggest that increases in richness are more prevalent than declines. Change at the global scale is the hardest to estimate accurately, but most studies suggest extinction rates are probably outpacing speciation rates, although both are elevated. Recognizing this variability is essential to accurately portray how biodiversity change is unfolding, and highlights how much remains unknown about the magnitude and direction of multiple biodiversity metrics at different scales. Reducing these blind spots is essential to allow appropriate management actions to be deployed. This article is part of the theme issue 'Detecting and attributing the causes of biodiversity change: needs, gaps and solutions'.
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Affiliation(s)
- Maria Dornelas
- Centre for Biological Diversity, University of St Andrews, St Andrews KY16 9TH, UK
- Guia Marine Laboratory, MARE, Faculdade de Ciencias da Universidade de Lisboa, Cascais 2750-374, Portugal
- Leverhulme Centre for Anthropocene Biodiversity, Department of Biology, University of York, Wentworth Way, York YO10 5DD, UK
| | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig 04103, Germany
- Department of Computer Sciences, Martin Luther University, Halle-Wittenberg 06099, Germany
| | | | - Anne E Magurran
- Centre for Biological Diversity, University of St Andrews, St Andrews KY16 9TH, UK
| | - Brian J McGill
- School of Biology and Ecology and Mitchell Center for Sustainability Solutions, University of Maine, Orono, ME, USA
| | - Laura H Antão
- Research Centre for Ecological Change, Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland
| | - Shane A Blowes
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig 04103, Germany
- Department of Computer Sciences, Martin Luther University, Halle-Wittenberg 06099, Germany
| | - Gergana N Daskalova
- International Institute for Applied Systems Analysis (IIASA), Laxenburg 2361, Austria
| | - Brian Leung
- Department of Biology, McGill University, Montreal, Canada H3A 1B1
| | - Inês S Martins
- Centre for Biological Diversity, University of St Andrews, St Andrews KY16 9TH, UK
- Leverhulme Centre for Anthropocene Biodiversity, Department of Biology, University of York, Wentworth Way, York YO10 5DD, UK
| | - Faye Moyes
- Centre for Biological Diversity, University of St Andrews, St Andrews KY16 9TH, UK
| | | | - Chris D Thomas
- Leverhulme Centre for Anthropocene Biodiversity, Department of Biology, University of York, Wentworth Way, York YO10 5DD, UK
| | - Mark Vellend
- Leverhulme Centre for Anthropocene Biodiversity, Department of Biology, University of York, Wentworth Way, York YO10 5DD, UK
- Département de biologie, Université de Sherbrooke, Québec, Canada J1K 2R1
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5
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Strona G, Bradshaw CJA, Cardoso P, Gotelli NJ, Guillaume F, Manca F, Mustonen V, Zaman L. Time-travelling pathogens and their risk to ecological communities. PLoS Comput Biol 2023; 19:e1011268. [PMID: 37498846 PMCID: PMC10374110 DOI: 10.1371/journal.pcbi.1011268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 06/13/2023] [Indexed: 07/29/2023] Open
Abstract
Permafrost thawing and the potential 'lab leak' of ancient microorganisms generate risks of biological invasions for today's ecological communities, including threats to human health via exposure to emergent pathogens. Whether and how such 'time-travelling' invaders could establish in modern communities is unclear, and existing data are too scarce to test hypotheses. To quantify the risks of time-travelling invasions, we isolated digital virus-like pathogens from the past records of coevolved artificial life communities and studied their simulated invasion into future states of the community. We then investigated how invasions affected diversity of the free-living bacteria-like organisms (i.e., hosts) in recipient communities compared to controls where no invasion occurred (and control invasions of contemporary pathogens). Invading pathogens could often survive and continue evolving, and in a few cases (3.1%) became exceptionally dominant in the invaded community. Even so, invaders often had negligible effects on the invaded community composition; however, in a few, highly unpredictable cases (1.1%), invaders precipitated either substantial losses (up to -32%) or gains (up to +12%) in the total richness of free-living species compared to controls. Given the sheer abundance of ancient microorganisms regularly released into modern communities, such a low probability of outbreak events still presents substantial risks. Our findings therefore suggest that unpredictable threats so far confined to science fiction and conjecture could in fact be powerful drivers of ecological change.
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Affiliation(s)
- Giovanni Strona
- European Commission, Joint Research Centre, Directorate D-Sustainable Resources, Ispra, Italy
- Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Corey J A Bradshaw
- Global Ecology | Partuyarta Ngadluku Wardli Kuu, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
- ARC Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, Australia
| | - Pedro Cardoso
- Laboratory for Integrative Biodiversity Research-LIBRe, Finnish Museum of Natural History Luomus, University of Helsinki, Helsinki, Finland
| | - Nicholas J Gotelli
- Department of Biology, University of Vermont, Burlington, Vermont, United States of America
| | - Frédéric Guillaume
- Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Federica Manca
- Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Ville Mustonen
- Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
- Institute of Biotechnology, Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Luis Zaman
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America
- Center for the Study of Complex Systems, University of Michigan, Ann Arbor, Michigan, United States of America
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6
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Booher DB, Gotelli NJ, Nelsen MP, Ohyama L, Deyrup M, Moreau CS, Suarez AV. Six decades of museum collections reveal disruption of native ant assemblages by introduced species. Curr Biol 2023; 33:2088-2094.e6. [PMID: 37030293 DOI: 10.1016/j.cub.2023.03.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 02/01/2023] [Accepted: 03/15/2023] [Indexed: 04/10/2023]
Abstract
There is a looming environmental crisis characterized by widespread declines in global biodiversity,1,2,3,4,5,6 coupled with the establishment of introduced species at accelerated rates.7,8,9,10,11,12,13,14 We quantified how multi-species invasions affect litter ant communities in natural ecosystems by leveraging museum records and contemporary collections to assemble a large (18,990 occurrences, 6,483 sampled local communities, and 177 species) 54-year (1965-2019) dataset for the entire state of Florida, USA. Nine of ten species that decreased most strongly in relative abundance ("losers") were native, while nine of the top ten "winners" were introduced species. These changes led to shifts in the composition of rare and common species: in 1965, only two of the ten most common ants were introduced, whereas by 2019, six of ten were introduced species. Native losers included seed dispersers and specialist predators, suggesting a potential loss of ecosystem function through time, despite no obvious loss of phylogenetic diversity. We also examined the role of species-level traits as predictors of invasion success. Introduced species were more likely to be polygynous than native species. The tendency to form supercolonies, where workers from separate nests integrate, also differed between native and introduced species and was correlated with the degree to which species increased in their rank abundances over 50 years. In Florida, introduced ants now account for 30% of occurrence records, and up to 70% in southern Florida. If current trends continue, introduced species will account for over half of occurrence records in all Florida's litter ant communities within the next 50 years.
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Affiliation(s)
- Douglas B Booher
- USDA Forest Service Southern Research Station, 320 East Green Street, Athens, GA 30602, USA; Department of Entomology and Department of Evolution, Ecology and Behavior, University of Illinois, 320 Morrill Hall, 505 South Goodwin Avenue, Urbana, IL 61801, USA; Department of Entomology and Department of Ecology & Evolutionary Biology, Cornell University, 129 Garden Avenue, Ithaca, NY 14850, USA.
| | | | - Matthew P Nelsen
- The Field Museum, Negaunee Integrative Research Center, 1400 South DuSable Lake Shore Drive, Chicago, IL 60605, USA
| | - Leo Ohyama
- University of Florida Biodiversity Institute, 432 Newell Drive, Gainesville, FL 32603, USA
| | - Mark Deyrup
- Archbold Biological Station, Venus, FL 33960, USA
| | - Corrie S Moreau
- Department of Entomology and Department of Ecology & Evolutionary Biology, Cornell University, 129 Garden Avenue, Ithaca, NY 14850, USA
| | - Andrew V Suarez
- Department of Entomology and Department of Evolution, Ecology and Behavior, University of Illinois, 320 Morrill Hall, 505 South Goodwin Avenue, Urbana, IL 61801, USA
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7
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Xu WB, Blowes SA, Brambilla V, Chow CFY, Fontrodona-Eslava A, Martins IS, McGlinn D, Moyes F, Sagouis A, Shimadzu H, van Klink R, Magurran AE, Gotelli NJ, McGill BJ, Dornelas M, Chase JM. Regional occupancy increases for widespread species but decreases for narrowly distributed species in metacommunity time series. Nat Commun 2023; 14:1463. [PMID: 36927847 PMCID: PMC10020147 DOI: 10.1038/s41467-023-37127-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 03/01/2023] [Indexed: 03/18/2023] Open
Abstract
While human activities are known to elicit rapid turnover in species composition through time, the properties of the species that increase or decrease their spatial occupancy underlying this turnover are less clear. Here, we used an extensive dataset of 238 metacommunity time series of multiple taxa spread across the globe to evaluate whether species that are more widespread (large-ranged species) differed in how they changed their site occupancy over the 10-90 years the metacommunities were monitored relative to species that are more narrowly distributed (small-ranged species). We found that on average, large-ranged species tended to increase in occupancy through time, whereas small-ranged species tended to decrease. These relationships were stronger in marine than in terrestrial and freshwater realms. However, in terrestrial regions, the directional changes in occupancy were less extreme in protected areas. Our findings provide evidence for systematic decreases in occupancy of small-ranged species, and that habitat protection could mitigate these losses in the face of environmental change.
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Affiliation(s)
- Wu-Bing Xu
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
- Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
| | - Shane A Blowes
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Viviana Brambilla
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
| | - Cher F Y Chow
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
| | - Ada Fontrodona-Eslava
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
| | - Inês S Martins
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
- Leverhulme Centre for Anthropocene Biodiversity, Berrick Saul Second Floor, University of York, York, UK
| | - Daniel McGlinn
- Department of Biology, College of Charleston, Charleston, SC, USA
| | - Faye Moyes
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
| | - Alban Sagouis
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Hideyasu Shimadzu
- Department of Mathematical Sciences, Loughborough University, Leicestershire, UK
- Graduate School of Public Health, Teikyo University, Tokyo, Japan
| | - Roel van Klink
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Anne E Magurran
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
| | | | - Brian J McGill
- School of Biology and Ecology and Mitchell Center for Sustainability Solutions, University of Maine, Orono, ME, USA
| | - Maria Dornelas
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Scotland
- Leverhulme Centre for Anthropocene Biodiversity, Berrick Saul Second Floor, University of York, York, UK
- MARE, Guia Marine Laboratory, Faculty of Sciences, University of Lisbon, Cascais, Portugal
| | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
- Department of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
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Pett LA, Linde S, Gotelli NJ. Midge Larvae Metriocnemus knabi Can Emigrate to New Pitchers within Sarracenia purpurea After Pitcher Drainage. Northeast Nat (Steuben) 2022. [DOI: 10.1656/045.029.0304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- Lindsey A. Pett
- Biology Department, University of Vermont, Burlington, VT 05405
| | - Sophie Linde
- Biology Department, University of Vermont, Burlington, VT 05405
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9
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Engel T, Blowes SA, McGlinn DJ, Gotelli NJ, McGill BJ, Chase JM. How does variation in total and relative abundance contribute to gradients of species diversity? Ecol Evol 2022; 12:e9196. [PMID: 35991281 PMCID: PMC9382643 DOI: 10.1002/ece3.9196] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/19/2022] [Indexed: 11/06/2022] Open
Abstract
Patterns of biodiversity provide insights into the processes that shape biological communities around the world. Variation in species diversity along biogeographical or ecological gradients, such as latitude or precipitation, can be attributed to variation in different components of biodiversity: changes in the total abundance (i.e., more-individual effects) and changes in the regional species abundance distribution (SAD). Rarefaction curves can provide a tool to partition these sources of variation on diversity, but first must be converted to a common unit of measurement. Here, we partition species diversity gradients into components of the SAD and abundance using the effective number of species (ENS) transformation of the individual-based rarefaction curve. Because the ENS curve is unconstrained by sample size, it can act as a standardized unit of measurement when comparing effect sizes among different components of biodiversity change. We illustrate the utility of the approach using two data sets spanning latitudinal diversity gradients in trees and marine reef fish and find contrasting results. Whereas the diversity gradient of fish was mostly associated with variation in abundance (86%), the tree diversity gradient was mostly associated with variation in the SAD (59%). These results suggest that local fish diversity may be limited by energy through the more-individuals effect, while species pool effects are the larger determinant of tree diversity. We suggest that the framework of the ENS-curve has the potential to quantify the underlying factors influencing most aspects of diversity change.
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Affiliation(s)
- Thore Engel
- Institute of Computer Science Martin Luther University Halle-Wittenberg Halle (Saale) Germany.,German Centre for Integrative Biodiversity Research (iDiv) Leipzig Germany
| | - Shane A Blowes
- Institute of Computer Science Martin Luther University Halle-Wittenberg Halle (Saale) Germany.,German Centre for Integrative Biodiversity Research (iDiv) Leipzig Germany
| | - Daniel J McGlinn
- Department of Biology College of Charleston Charleston South Carolina USA
| | | | - Brian J McGill
- School of Biology and Ecology, and Senator George J. Mitchell Center of Sustainability Solutions University of Maine Orono Maine USA
| | - Jonathan M Chase
- Institute of Computer Science Martin Luther University Halle-Wittenberg Halle (Saale) Germany.,German Centre for Integrative Biodiversity Research (iDiv) Leipzig Germany
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10
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Blowes SA, Daskalova GN, Dornelas M, Engel T, Gotelli NJ, Magurran AE, Martins IS, McGill B, McGlinn DJ, Sagouis A, Shimadzu H, Supp SR, Chase JM. Local biodiversity change reflects interactions among changing abundance, evenness, and richness. Ecology 2022; 103:e3820. [DOI: 10.1002/ecy.3820] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/30/2022] [Accepted: 06/02/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Shane A. Blowes
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Germany
- Department of Computer Science Martin Luther University Halle‐Wittenberg Halle (Salle) Germany
| | - Gergana N. Daskalova
- School of GeoSciences University of Edinburgh Scotland, UK
- International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria
| | - Maria Dornelas
- Centre for Biological Diversity University of St Andrews KY16 9TH
| | - Thore Engel
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Germany
- Department of Computer Science Martin Luther University Halle‐Wittenberg Halle (Salle) Germany
| | | | - Anne E. Magurran
- Centre for Biological Diversity University of St Andrews KY16 9TH
| | - Inês S. Martins
- Centre for Biological Diversity University of St Andrews KY16 9TH
- Leverhulme Centre for Anthropocene Biodiversity and Department of Biology University of York York UK
| | - Brian McGill
- School of Biology and Ecology and Mitchell Center for Sustainability Solutions University of Maine Orono, ME United States
| | | | - Alban Sagouis
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Germany
- Department of Computer Science Martin Luther University Halle‐Wittenberg Halle (Salle) Germany
| | - Hideyasu Shimadzu
- Department of Mathematical Sciences Loughborough University UK
- Graduate School of Public Health Teikyo University Tokyo Japan
| | - Sarah R. Supp
- Data Analytics Program Denison University Granville Ohio USA
| | - Jonathan M. Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Germany
- Department of Computer Science Martin Luther University Halle‐Wittenberg Halle (Salle) Germany
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11
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Hébert-Dufresne L, Waring TM, St-Onge G, Niles MT, Kati Corlew L, Dube MP, Miller SJ, Gotelli NJ, McGill BJ. Source-sink behavioural dynamics limit institutional evolution in a group-structured society. R Soc Open Sci 2022; 9:211743. [PMID: 35345431 PMCID: PMC8941422 DOI: 10.1098/rsos.211743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 02/04/2022] [Indexed: 05/03/2023]
Abstract
Social change in any society entails changes in both behaviours and institutions. We model a group-structured society in which the transmission of individual behaviour occurs in parallel with the selection of group-level institutions. We consider a cooperative behaviour that generates collective benefits for groups but does not spread between individuals on its own. Groups exhibit institutions that increase the diffusion of the behaviour within the group, but also incur a group cost. Groups adopt institutions in proportion to their fitness. Finally, the behaviour may also spread globally. We find that behaviour and institutions can be mutually reinforcing. But the model also generates behavioural source-sink dynamics when behaviour generated in institutionalized groups spreads to non-institutionalized groups and boosts their fitness. Consequently, the global diffusion of group-beneficial behaviour creates a pattern of institutional free-riding that limits the evolution of group-beneficial institutions. Our model suggests that, in a group-structured society, large-scale beneficial social change can be best achieved when the relevant behaviour and institutions remain correlated.
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Affiliation(s)
- Laurent Hébert-Dufresne
- Department of Computer Science, University of Vermont, Burlington VT, USA
- Vermont Complex Systems Center, University of Vermont, Burlington VT, USA
- Department of Nutrition and Food Sciences, University of Vermont, Burlington VT, USA
| | - Timothy M. Waring
- School of Economics, University of Maine, Orono ME, USA
- Mitchell Center for Sustainability Solutions, University of Maine, Orono ME, USA
| | - Guillaume St-Onge
- Département de physique, de génie physique et d'optique, Université Laval, Québec (Québec), Canada G1V 0A6
- Centre interdisciplinaire en modélisation mathématique, Université Laval, Québec (Québec), Canada G1V 0A6
| | - Meredith T. Niles
- Department of Nutrition and Food Sciences, University of Vermont, Burlington VT, USA
| | - Laura Kati Corlew
- Department of Social Science, University of Maine at Augusta, Bangor ME, USA
| | - Matthew P. Dube
- Department of Computer Information Systems, University of Maine at Augusta, Bangor ME, USA
| | - Stephanie J. Miller
- Mitchell Center for Sustainability Solutions, University of Maine, Orono ME, USA
- Mitchell Center for Sustainability Solutions, University of Maine, Orono ME, USA
| | | | - Brian J. McGill
- Mitchell Center for Sustainability Solutions, University of Maine, Orono ME, USA
- Mitchell Center for Sustainability Solutions, University of Maine, Orono ME, USA
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12
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Almeida-Gomes M, Gotelli NJ, Rocha CFD, Vieira MV, Prevedello JA. Random placement models explain species richness and dissimilarity of frog assemblages within Atlantic Forest fragments. J Anim Ecol 2022; 91:618-629. [PMID: 35007336 DOI: 10.1111/1365-2656.13660] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 12/21/2021] [Indexed: 11/28/2022]
Abstract
Understanding the effects of random versus niche-based processes on biodiversity patterns is a central theme in ecology, and an important tool for predicting effects of habitat loss and fragmentation on biodiversity. We investigated the predictive power of random processes to explain species richness and species dissimilarity of amphibian assemblages in a fragmented tropical landscape of the Atlantic Forest of South America. We analyzed a large database of amphibian abundance and occupancy, sampled in 21 forest fragments ranging in size from 1.9 to 619 ha. We compared observed species richness and species dissimilarity with the outcomes of two null (random placement) models: 1- the traditional Coleman's area-based model and 2- an abundance-based model (based on the number of individuals observed in each fragment). We applied these models for all species combined, and separately for forest-dependent and habitat-generalist species. The abundance-based model fitted the observed species richness data better than the area-based model for all species, forest-dependent species, and generalist species. The area-based and the abundance-based models were also able to significantly explain species dissimilarity for all species and for generalists, but not for forest dependent species. The traditional area-based model assigned too many individuals to large fragments, thus failing to accurately explain species richness within patches across the landscape. Although niche-based processes may be important to structuring the regional pool of species in fragmented landscapes, our results suggest that part of the variation in species richness and species dissimilarity can be successfully explained by random placement models, especially for generalist species. Evaluating which factors cause variation in the number of individuals among patches should be a focus in future studies aiming to understand biodiversity patterns in fragmented landscapes.
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Affiliation(s)
- Mauricio Almeida-Gomes
- Instituto de Biociências, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
| | | | | | - Marcus Vinícius Vieira
- Laboratório de Vertebrados, Departamento de Ecologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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13
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Gotelli NJ, Moyes F, Antão LH, Blowes SA, Dornelas M, McGill BJ, Penny A, Schipper AM, Shimadzu H, Supp SR, Waldock CA, Magurran AE. Long-term changes in temperate marine fish assemblages are driven by a small subset of species. Glob Chang Biol 2022; 28:46-53. [PMID: 34669982 PMCID: PMC9298248 DOI: 10.1111/gcb.15947] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 09/09/2021] [Accepted: 10/03/2021] [Indexed: 05/28/2023]
Abstract
The species composition of plant and animal assemblages across the globe has changed substantially over the past century. How do the dynamics of individual species cause this change? We classified species into seven unique categories of temporal dynamics based on the ordered sequence of presences and absences that each species contributes to an assemblage time series. We applied this framework to 14,434 species trajectories comprising 280 assemblages of temperate marine fishes surveyed annually for 20 or more years. Although 90% of the assemblages diverged in species composition from the baseline year, this compositional change was largely driven by only 8% of the species' trajectories. Quantifying the reorganization of assemblages based on species shared temporal dynamics should facilitate the task of monitoring and restoring biodiversity. We suggest ways in which our framework could provide informative measures of compositional change, as well as leverage future research on pattern and process in ecological systems.
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Affiliation(s)
| | - Faye Moyes
- Centre for Biological Diversity and Scottish Oceans InstituteSchool of BiologyUniversity of St AndrewsSt AndrewsUK
| | - Laura H. Antão
- Research Centre for Ecological Change, Organismal & Evolutionary Biology Research ProgrammeUniversity of HelsinkiHelsinkiFinland
| | - Shane A. Blowes
- German Centre for Integrative Biodiversity ResearchLeipzigGermany
- Department of Computer ScienceMartin Luther UniversityLeipzigGermany
| | - Maria Dornelas
- Centre for Biological Diversity and Scottish Oceans InstituteSchool of BiologyUniversity of St AndrewsSt AndrewsUK
| | - Brian J. McGill
- School of Biology and EcologySustainability Solutions InitiativeUniversity of MaineOronoMaineUSA
| | - Amelia Penny
- Centre for Biological Diversity and Scottish Oceans InstituteSchool of BiologyUniversity of St AndrewsSt AndrewsUK
| | - Aafke M. Schipper
- Department of Environmental ScienceRadboud UniversityNijmegenThe Netherlands
| | - Hideyasu Shimadzu
- Department of Mathematical SciencesLoughborough UniversityLoughboroughUK
- Graduate School of Public HealthTeikyo UniversityTokyoJapan
| | - Sarah R. Supp
- Data Analytics ProgramDenison UniversityGranvilleOhioUSA
| | - Conor A. Waldock
- Landscape EcologyInstitute of Terrestrial EcosystemsDepartment of Environmental Systems ScienceETH ZürichZürichSwitzerland
| | - Anne E. Magurran
- Centre for Biological Diversity and Scottish Oceans InstituteSchool of BiologyUniversity of St AndrewsSt AndrewsUK
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14
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Affiliation(s)
- Werner Ulrich
- Dept of Ecology and Biogeography, Nicolaus Copernicus Univ. in Torun Toruń Poland
| | - Markus Klemens Zaplata
- Faculty Environment and Natural Sciences, Brandenburg Univ. of Technology Cottbus‐Senftenberg Cottbus Germany
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15
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Engel T, Blowes SA, McGlinn DJ, May F, Gotelli NJ, McGill BJ, Chase JM. Using coverage‐based rarefaction to infer non‐random species distributions. Ecosphere 2021. [DOI: 10.1002/ecs2.3745] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Thore Engel
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig 04103 Leipzig Germany
- Institute of Computer Science Martin Luther University Halle‐Wittenberg 06120 Halle (Saale) Germany
| | - Shane A. Blowes
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig 04103 Leipzig Germany
- Institute of Computer Science Martin Luther University Halle‐Wittenberg 06120 Halle (Saale) Germany
| | - Daniel J. McGlinn
- Department of Biology College of Charleston Charleston 29424 South Carolina USA
| | - Felix May
- Institute of Biology Freie Universität Berlin 14195 Berlin Germany
| | | | - Brian J. McGill
- School of Biology and Ecology, and Senator George J. Mitchell Center of Sustainability Solutions University of Maine Orono 04469 Maine USA
| | - Jonathan M. Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig 04103 Leipzig Germany
- Institute of Computer Science Martin Luther University Halle‐Wittenberg 06120 Halle (Saale) Germany
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16
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Gotelli NJ, Booher DB, Urban MC, Ulrich W, Suarez AV, Skelly DK, Russell DJ, Rowe RJ, Rothendler M, Rios N, Rehan SM, Ni G, Moreau CS, Magurran AE, Jones FAM, Graves GR, Fiera C, Burkhardt U, Primack RB. Estimating species relative abundances from museum records. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13705] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
| | - Douglas B. Booher
- Yale Center for Biodiversity and Global Change Yale University New Haven Connecticut USA
- Georgia Museum of Natural History Athens Georgia USA
| | - Mark C. Urban
- Department of Ecology and Evolutionary Biology Center of Biological Risk University of Connecticut Storrs Connecticut USA
| | - Werner Ulrich
- Department of Ecology and Biogeography Faculty of Biological and Veterinary Sciences Nicolaus Copernicus University Torun Poland
| | - Andrew V. Suarez
- Department of Evolution, Ecology and Behavior Department of Entomology University of Illinois Urbana Illinois USA
| | - David K. Skelly
- Yale Peabody Museum of Natural History School of Forestry & Environmental Studies Yale University New Haven Connecticut USA
| | | | - Rebecca J. Rowe
- Department of Natural Resources and the Environment University of New Hampshire Durham New Hampshire USA
| | | | - Nelson Rios
- Yale Peabody Museum of Natural History School of Forestry & Environmental Studies Yale University New Haven Connecticut USA
| | - Sandra M. Rehan
- Department of Biology York University Toronto Ontario Canada
| | - George Ni
- Department of Biology University of Vermont Burlington Vermont USA
| | - Corrie S. Moreau
- Department of Entomology Department of Ecology and Evolutionary Biology Cornell University Ithaca New York USA
| | - Anne E. Magurran
- Centre for Biological Diversity and Scottish Oceans Institute School of Biology University of St Andrews St Andrews UK
| | - Faith A. M. Jones
- Centre for Biological Diversity and Scottish Oceans Institute School of Biology University of St Andrews St Andrews UK
- Department of Forest and Conservation Faculty of Forestry University of British Columbia Vancouver British Columbia Canada
| | - Gary R. Graves
- Department of Vertebrate Zoology National Museum of Natural HistorySmithsonian Institution Washington District of Columbia USA
- Center for Macroecology, Evolution and Climate Globe Institute University of Copenhagen Copenhagen Ø Denmark
| | - Cristina Fiera
- Institute of Biology Bucharest Romanian Academy Bucharest Romania
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17
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Jing X, Prager CM, Borer ET, Gotelli NJ, Gruner DS, He J, Kirkman K, MacDougall AS, McCulley RL, Prober SM, Seabloom EW, Stevens CJ, Classen AT, Sanders NJ. Spatial turnover of multiple ecosystem functions is more associated with plant than soil microbial β‐diversity. Ecosphere 2021. [DOI: 10.1002/ecs2.3644] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Xin Jing
- Natural History Museum of Denmark Copenhagen Denmark
| | - Case M. Prager
- Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor Michigan 48109 USA
| | - Elizabeth T. Borer
- Department of Ecology, Evolution and Behavior University of Minnesota St. Paul Minnesota 55108 USA
| | | | - Daniel S. Gruner
- Department of Entomology University of Maryland College Park Maryland 20742 USA
| | - Jin‐Sheng He
- College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education Institute of Ecology Peking University Beijing 100871 China
- State Key Laboratory of Grassland Agro‐Ecosystems, and College of Pastoral Agriculture Science and Technology Lanzhou University Lanzhou Gansu 730000 China
| | - Kevin Kirkman
- Centre for Functional Biodiversity School of Life Sciences University of KwaZulu‐Natal Pietermaritzburg South Africa
| | - Andrew S. MacDougall
- Department of Integrative Biology University of Guelph Guelph Ontario N1G 2W1 Canada
| | - Rebecca L. McCulley
- Department of Plant & Soil Sciences University of Kentucky Lexington Kentucky 40546‐0312 USA
| | - Suzanne M. Prober
- CSIRO Land and Water Private Bag 5 Wembley Western Australia 6913 Australia
| | - Eric W. Seabloom
- Department of Ecology, Evolution and Behavior University of Minnesota St. Paul Minnesota 55108 USA
| | - Carly J. Stevens
- Lancaster Environment Centre Lancaster University Lancaster LA1 4YQ UK
| | - Aimée T. Classen
- Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor Michigan 48109 USA
| | - Nathan J. Sanders
- Natural History Museum of Denmark Copenhagen Denmark
- Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor Michigan 48109 USA
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18
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Fitzgerald JL, Stuble KL, Nichols LM, Diamond SE, Wentworth TR, Pelini SL, Gotelli NJ, Sanders NJ, Dunn RR, Penick CA. Abundance of spring‐ and winter‐active arthropods declines with warming. Ecosphere 2021. [DOI: 10.1002/ecs2.3473] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Jacquelyn L. Fitzgerald
- Plant Biology and Conservation Northwestern University Evanston Illinois60201USA
- Negaunee Institute for Plant Conservation Science & Action Chicago Botanic Garden Glencoe Illinois60022USA
- Department of Applied Ecology North Carolina State University Raleigh North Carolina27695USA
| | | | - Lauren M. Nichols
- Department of Applied Ecology North Carolina State University Raleigh North Carolina27695USA
| | - Sarah E. Diamond
- Department of Biology Case Western Reserve University Cleveland Ohio44106USA
| | - Thomas R. Wentworth
- Department of Plant and Microbial Biology North Carolina State University Raleigh North Carolina27695USA
| | - Shannon L. Pelini
- Department of Biological Sciences Bowling Green State University Bowling Green Ohio43403USA
| | | | - Nathan J. Sanders
- Environmental Program Rubenstein School of Environment and Natural Resources University of Vermont Burlington Vermont05405USA
| | - Robert R. Dunn
- Department of Applied Ecology North Carolina State University Raleigh North Carolina27695USA
- Center for Evolutionary Hologenomics University of Copenhagen CopenhagenDK‐2100Denmark
| | - Clint A. Penick
- Department of Ecology, Evolution & Organismal Biology Kennesaw State University Kennesaw Georgia30144USA
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19
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Freedman ZB, McGrew A, Baiser B, Besson M, Gravel D, Poisot T, Record S, Trotta LB, Gotelli NJ. Environment-host-microbial interactions shape the Sarracenia purpurea microbiome at the continental scale. Ecology 2021; 102:e03308. [PMID: 33577089 DOI: 10.1002/ecy.3308] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 01/05/2021] [Accepted: 02/05/2021] [Indexed: 11/10/2022]
Abstract
The importance of climate, habitat structure, and higher trophic levels on microbial diversity is only beginning to be understood. Here, we examined the influence of climate variables, plant morphology, and the abundance of aquatic invertebrates on the microbial biodiversity of the northern pitcher plant Sarracenia purpurea. The plant's cup-shaped leaves fill with rainwater and support a miniature, yet full-fledged, ecosystem with a diverse microbiome that decomposes captured prey and a small network of shredding and filter-feeding aquatic invertebrates that feed on microbes. We characterized pitcher microbiomes of 108 plants sampled at 36 sites from Florida to Quebec. Structural equation models revealed that annual precipitation and temperature, plant size, and midge abundance had direct effects on microbiome taxonomic and phylogenetic diversity. Climate variables also exerted indirect effects through plant size and midge abundance. Further, spatial structure and climate influenced taxonomic composition, but not phylogenetic composition. Our results suggest that direct effects of midge abundance and climate and indirect effects of climate through its effect on plant-associated factors lead to greater richness of microbial phylotypes in warmer, wetter sites.
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Affiliation(s)
- Zachary B Freedman
- Department of Soil Science, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA
| | - Alicia McGrew
- School of Natural Resources and Environment, University of Florida, Gainesville, Florida, 32603, USA.,Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, 32603, USA
| | - Benjamin Baiser
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, 32603, USA
| | - Mathilde Besson
- Département de Sciences Biologiques, Université de Montréal, Montréal, Quebec, H2V 0B3, Canada
| | - Dominique Gravel
- Département de Biologie, Faculté des Sciences, Université de Sherbrooke, Sherbrooke, Quebec, J1K 2R1, Canada
| | - Timothée Poisot
- Département de Sciences Biologiques, Université de Montréal, Montréal, Quebec, H2V 0B3, Canada
| | - Sydne Record
- Department of Biology, Bryn Mawr College, Bryn Mawr, Pennsylvania, 19010, USA
| | - Lauren B Trotta
- School of Natural Resources and Environment, University of Florida, Gainesville, Florida, 32603, USA
| | - Nicholas J Gotelli
- Department of Biology, University of Vermont, Burlington, Vermont, 05405, USA
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20
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McGlinn DJ, Engel T, Blowes SA, Gotelli NJ, Knight TM, McGill BJ, Sanders NJ, Chase JM. A multiscale framework for disentangling the roles of evenness, density, and aggregation on diversity gradients. Ecology 2020; 102:e03233. [PMID: 33098569 PMCID: PMC7900956 DOI: 10.1002/ecy.3233] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 05/27/2020] [Accepted: 06/09/2020] [Indexed: 11/16/2022]
Abstract
Disentangling the drivers of diversity gradients can be challenging. The Measurement of Biodiversity (MoB) framework decomposes scale‐dependent changes in species diversity into three components of community structure: species abundance distribution (SAD), total community abundance, and within‐species spatial aggregation. Here we extend MoB from categorical treatment comparisons to quantify variation along continuous geographic or environmental gradients. Our approach requires sites along a gradient, each consisting of georeferenced plots of abundance‐based species composition data. We demonstrate our method using a case study of ants sampled along an elevational gradient of 28 sites in a mixed deciduous forest of the Great Smoky Mountains National Park, USA. MoB analysis revealed that decreases in ant species richness along the elevational gradient were associated with decreasing evenness and total number of species, which counteracted the modest increase in richness associated with decreasing spatial aggregation along the gradient. Total community abundance had a negligible effect on richness at all but the finest spatial grains, SAD effects increased in importance with sampling effort, and the aggregation effect had the strongest effect at coarser spatial grains. These results do not support the more‐individuals hypothesis, but they are consistent with a hypothesis of stronger environmental filtering at coarser spatial grains. Our extension of MoB has the potential to elucidate how components of community structure contribute to changes in diversity along environmental gradients and should be useful for a variety of assemblage‐level data collected along gradients.
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Affiliation(s)
- Daniel J McGlinn
- Department of Biology, College of Charleston, Charleston, South Carolina, 29424, USA
| | - Thore Engel
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig, 04103, Germany.,Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), 06120, Germany
| | - Shane A Blowes
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig, 04103, Germany.,Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), 06120, Germany
| | - Nicholas J Gotelli
- Department of Biology, University of Vermont, Burlington, Vermont, 05405, USA
| | - Tiffany M Knight
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig, 04103, Germany.,Institute of Biology, Martin Luther University Halle-Wittenberg, Halle (Saale), 06120, Germany.,Department of Community Ecology, Helmholtz Centre for Environmental Research-UFZ, Halle (Saale), 06120, Germany
| | - Brian J McGill
- School of Biology and Ecology, and Senator George J. Mitchell Center of Sustainability Solutions, University of Maine, Orono, Maine, 04469, USA
| | - Nathan J Sanders
- Environmental Program, Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, Vermont, 05405, USA
| | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig, 04103, Germany.,Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), 06120, Germany
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21
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Vaughan IP, Gotelli NJ. Using Climatic Credits to Pay the Climatic Debt. Trends Ecol Evol 2020; 36:104-112. [PMID: 33129587 DOI: 10.1016/j.tree.2020.10.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/13/2020] [Accepted: 10/01/2020] [Indexed: 01/20/2023]
Abstract
Many organisms are accumulating climatic debt as they respond more slowly than expected to rising global temperatures, leading to disequilibrium of species diversity with contemporary climate. The resulting transient dynamics are complex and may cause overoptimistic biodiversity assessments. We propose a simple budget framework to integrate climatic debt with two classes of intervention: (i) climatic credits that pay some of the debt, reducing the overall biological change required to reach a new equilibrium; and (ii) options to adjust the debt repayment rate, either making a system more responsive by increasing the rate or temporarily reducing the rate to buy more time for local adaptation and credit implementation. We illustrate how this budget can be created and highlight limitations and challenges.
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Affiliation(s)
- Ian P Vaughan
- School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK.
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22
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Northrop AC, Avalone V, Ellison AM, Ballif BA, Gotelli NJ. Clockwise and counterclockwise hysteresis characterize state changes in the same aquatic ecosystem. Ecol Lett 2020; 24:94-101. [PMID: 33079483 DOI: 10.1111/ele.13625] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 07/15/2020] [Accepted: 09/23/2020] [Indexed: 11/26/2022]
Abstract
Incremental increases in a driver variable, such as nutrients or detritus, can trigger abrupt shifts in aquatic ecosystems that may exhibit hysteretic dynamics and a slow return to the initial state. A model system for understanding these dynamics is the microbial assemblage that inhabits the cup-shaped leaves of the pitcher plant Sarracenia purpurea. With enrichment of organic matter, this system flips within three days from an oxygen-rich state to an oxygen-poor state. In a replicated greenhouse experiment, we enriched pitcher-plant leaves at different rates with bovine serum albumin (BSA), a molecular substitute for detritus. Changes in dissolved oxygen (DO) and undigested BSA concentration were monitored during enrichment and recovery phases. With increasing enrichment rates, the dynamics ranged from clockwise hysteresis (low), to environmental tracking (medium), to novel counter-clockwise hysteresis (high). These experiments demonstrate that detrital enrichment rate can modulate a diversity of hysteretic responses within a single aquatic ecosystem, and suggest different management strategies may be needed to mitigate the effects of high vs. low rates of detrital enrichment.
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Affiliation(s)
| | - Vanessa Avalone
- Department of Biology, University of Vermont, Burlington, VT, USA
| | | | - Bryan A Ballif
- Department of Biology, University of Vermont, Burlington, VT, USA
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23
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Fraser D, Soul LC, Tóth AB, Balk MA, Eronen JT, Pineda-Munoz S, Shupinski AB, Villaseñor A, Barr WA, Behrensmeyer AK, Du A, Faith JT, Gotelli NJ, Graves GR, Jukar AM, Looy CV, Miller JH, Potts R, Lyons SK. Investigating Biotic Interactions in Deep Time. Trends Ecol Evol 2020; 36:61-75. [PMID: 33067015 DOI: 10.1016/j.tree.2020.09.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/31/2020] [Accepted: 09/02/2020] [Indexed: 11/16/2022]
Abstract
Recent renewed interest in using fossil data to understand how biotic interactions have shaped the evolution of life is challenging the widely held assumption that long-term climate changes are the primary drivers of biodiversity change. New approaches go beyond traditional richness and co-occurrence studies to explicitly model biotic interactions using data on fossil and modern biodiversity. Important developments in three primary areas of research include analysis of (i) macroevolutionary rates, (ii) the impacts of and recovery from extinction events, and (iii) how humans (Homo sapiens) affected interactions among non-human species. We present multiple lines of evidence for an important and measurable role of biotic interactions in shaping the evolution of communities and lineages on long timescales.
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Affiliation(s)
- Danielle Fraser
- Palaeobiology, Canadian Museum of Nature, Ottawa, ON, Canada; Biology and Earth Sciences, Carleton University, Ottawa, ON, Canada; Department of Paleobiology and Evolution of Terrestrial Ecosystems Program, Smithsonian Institution, National Museum of Natural History, Washington, DC , USA.
| | - Laura C Soul
- Department of Paleobiology and Evolution of Terrestrial Ecosystems Program, Smithsonian Institution, National Museum of Natural History, Washington, DC , USA
| | - Anikó B Tóth
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, UNSW, Sydney, NSW, Australia
| | - Meghan A Balk
- Department of Paleobiology and Evolution of Terrestrial Ecosystems Program, Smithsonian Institution, National Museum of Natural History, Washington, DC , USA; BIO5 Institute, University of Arizona, Tucson, AZ, USA
| | - Jussi T Eronen
- Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland; Helsinki Institute of Sustainability Science, Faculty of Biological and Environmental Sciences, Ecosystems and Environment Research Programme, University of Helsinki, Helsinki, Finland; BIOS research Unit, Helsinki, Finland
| | - Silvia Pineda-Munoz
- Department of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | | | - Amelia Villaseñor
- Department of Anthropology, University of Arkansas, Fayetteville, AR, USA
| | - W Andrew Barr
- Department of Paleobiology and Evolution of Terrestrial Ecosystems Program, Smithsonian Institution, National Museum of Natural History, Washington, DC , USA; Center for the Advanced Study of Human Paleobiology, Department of Anthropology, The George Washington University, Washington, DC, USA
| | - Anna K Behrensmeyer
- Department of Paleobiology and Evolution of Terrestrial Ecosystems Program, Smithsonian Institution, National Museum of Natural History, Washington, DC , USA
| | - Andrew Du
- Department of Anthropology and Geography, Colorado State University, Fort Collins, CO, USA
| | - J Tyler Faith
- Natural History Museum of Utah, University of Utah, Salt Lake City, UT,USA; Department of Anthropology, University of Utah, Salt Lake City, UT, USA
| | | | - Gary R Graves
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA; Center for Macroecology, Evolution and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Advait M Jukar
- Department of Paleobiology and Evolution of Terrestrial Ecosystems Program, Smithsonian Institution, National Museum of Natural History, Washington, DC , USA
| | - Cindy V Looy
- Department of Integrative Biology, Museum of Paleontology, University and Jepson Herbaria, University of California-Berkeley, Berkeley, CA , USA
| | - Joshua H Miller
- Department of Geology, University of Cincinnati, Cincinnati, OH, USA
| | - Richard Potts
- Human Origins Program, National Museum of Natural History, Smithsonian Institution, Washington, DC , USA
| | - S Kathleen Lyons
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, NE, USA
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24
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Tóth AB, Lyons SK, Barr WA, Behrensmeyer AK, Blois JL, Bobe R, Davis M, Du A, Eronen JT, Faith JT, Fraser D, Gotelli NJ, Graves GR, Jukar AM, Miller JH, Pineda-Munoz S, Soul LC, Villaseñor A, Alroy J. Reorganization of surviving mammal communities after the end-Pleistocene megafaunal extinction. Science 2020; 365:1305-1308. [PMID: 31604240 DOI: 10.1126/science.aaw1605] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 08/23/2019] [Indexed: 12/29/2022]
Abstract
Large mammals are at high risk of extinction globally. To understand the consequences of their demise for community assembly, we tracked community structure through the end-Pleistocene megafaunal extinction in North America. We decomposed the effects of biotic and abiotic factors by analyzing co-occurrence within the mutual ranges of species pairs. Although shifting climate drove an increase in niche overlap, co-occurrence decreased, signaling shifts in biotic interactions. Furthermore, the effect of abiotic factors on co-occurrence remained constant over time while the effect of biotic factors decreased. Biotic factors apparently played a key role in continental-scale community assembly before the extinctions. Specifically, large mammals likely promoted co-occurrence in the Pleistocene, and their loss contributed to the modern assembly pattern in which co-occurrence frequently falls below random expectations.
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Affiliation(s)
- Anikó B Tóth
- Department of Biological Sciences, Macquarie University, New South Wales 2109, Australia.
| | - S Kathleen Lyons
- School of Biological Sciences, University of Nebraska, Lincoln, NE 68588, USA
| | - W Andrew Barr
- Center for the Advanced Study of Human Paleobiology, Department of Anthropology, The George Washington University, Washington, DC 20052, USA
| | - Anna K Behrensmeyer
- Department of Paleobiology, Evolution of Terrestrial Ecosystems Program, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, USA
| | - Jessica L Blois
- School of Natural Sciences, University of California, Merced, CA 95343, USA
| | - René Bobe
- Departamento de Antropología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile.,Interdisciplinary Center for Archaeology and Evolution of Human Behavior (ICArEHB), Universidade do Algarve, Faro, Portugal
| | - Matt Davis
- Natural History Museum of Los Angeles Country, Los Angeles, CA 90007, USA
| | - Andrew Du
- Department of Anthropology and Geography, Colorado State University, Fort Collins, CO 80523, USA
| | - Jussi T Eronen
- Ecosystems and Environment Research Programme and Helsinki Institute of Sustainability Science (HELSUS), Faculty of Biological and Environmental Sciences, 00014 University of Helsinki, Finland.,BIOS Research Unit, Meritullintori 6, 00170 Helsinki, Finland
| | - J Tyler Faith
- Natural History Museum of Utah and Department of Anthropology, University of Utah, Salt Lake City, UT 84108, USA
| | - Danielle Fraser
- Palaeobiology, Canadian Museum of Nature, Ottawa, ON K1P 6P, Canada.,Departments of Biology and Earth Sciences, Carleton University, Ottawa, ON K1S 5B6, Canada
| | | | - Gary R Graves
- Center for Macroecology, Evolution and Climate, University of Copenhagen, 2100 Copenhagen Ø, Denmark.,Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, USA
| | - Advait M Jukar
- Department of Paleobiology, Evolution of Terrestrial Ecosystems Program, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, USA
| | - Joshua H Miller
- Department of Geology, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Silvia Pineda-Munoz
- Department of Paleobiology, Evolution of Terrestrial Ecosystems Program, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, USA.,Spatial Ecology and Paleontology Lab (SEPL), School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Laura C Soul
- Department of Paleobiology, Evolution of Terrestrial Ecosystems Program, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, USA
| | - Amelia Villaseñor
- Department of Anthropology, University of Arkansas, Fayetteville, AR 72701, USA
| | - John Alroy
- Department of Biological Sciences, Macquarie University, New South Wales 2109, Australia
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25
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Blowes SA, Chase JM, Di Franco A, Frid O, Gotelli NJ, Guidetti P, Knight TM, May F, McGlinn DJ, Micheli F, Sala E, Belmaker J. Mediterranean marine protected areas have higher biodiversity via increased evenness, not abundance. J Appl Ecol 2020. [DOI: 10.1111/1365-2664.13549] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Shane A. Blowes
- School of Zoology George S. Wise Faculty of Life Sciences Tel Aviv University Tel Aviv Israel
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany
- Department of Computer Science Martin Luther University Halle‐Wittenberg Halle (Salle) Germany
| | - Jonathan M. Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany
- Department of Computer Science Martin Luther University Halle‐Wittenberg Halle (Salle) Germany
| | - Antonio Di Franco
- Stazione Zoologica Anton Dohrn Dipartimento Ecologia Marina Integrata Sede Interdipartimentale della Sicilia Lungomare Cristoforo Colombo (complesso Roosevelt) Palermo Italy
- Consorzio Interuniversitario per le Scienze del Mare CoNISMa Rome Italy
- Université Côte d’Azur CNRSUMR 7035 ECOSEAS Nice France
| | - Ori Frid
- School of Zoology George S. Wise Faculty of Life Sciences Tel Aviv University Tel Aviv Israel
| | | | - Paolo Guidetti
- Consorzio Interuniversitario per le Scienze del Mare CoNISMa Rome Italy
- Université Côte d’Azur CNRSUMR 7035 ECOSEAS Nice France
| | - Tiffany M. Knight
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany
- Institute of Biology Martin Luther University Halle‐Wittenberg Halle (Saale) Germany
- Department of Community Ecology Helmholtz Centre for Environmental Research‐ UFZ Halle (Saale) Germany
| | - Felix May
- Leuphana Universität Lüneburg Lüneburg Germany
| | | | - Fiorenza Micheli
- Hopkins Marine Station and Stanford Center for Ocean Solutions Pacific Grove CA USA
| | - Enric Sala
- National Geographic Society Washington DC USA
| | - Jonathan Belmaker
- School of Zoology George S. Wise Faculty of Life Sciences Tel Aviv University Tel Aviv Israel
- The Steinhardt Museum of Natural HistoryTel Aviv University Tel Aviv Israel
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26
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Nguyen AD, Brown M, Zitnay J, Cahan SH, Gotelli NJ, Arnett A, Ellison AM. Trade-Offs in Cold Resistance at the Northern Range Edge of the Common Woodland Ant Aphaenogaster picea (Formicidae). Am Nat 2019; 194:E151-E163. [PMID: 31738107 DOI: 10.1086/705939] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Geographic variation in low temperatures at poleward range margins of terrestrial species often mirrors population variation in cold resistance, suggesting that range boundaries may be set by evolutionary constraints on cold physiology. The northeastern woodland ant Aphaenogaster picea occurs up to approximately 45°N in central Maine. We combined presence/absence surveys with classification tree analysis to characterize its northern range limit and assayed two measures of cold resistance operating on different timescales to determine whether and how marginal populations adapt to environmental extremes. The range boundary of A. picea was predicted primarily by temperature, but low winter temperatures did not emerge as the primary correlate of species occurrence. Low summer temperatures and high seasonal variability predicted absence above the boundary, whereas high mean annual temperature (MAT) predicted presence in southern Maine. In contrast, assays of cold resistance across multiple sites were consistent with the hypothesis of local cold adaptation at the range edge: among populations, there was a 4-min reduction in chill coma recovery time across a 2° reduction in MAT. Baseline resistance and capacity for additional plastic cold hardening shifted in opposite directions, with hardening capacity approaching zero at the coldest sites. This trade-off between baseline resistance and cold-hardening capacity suggests that populations at range edges may adapt to colder temperatures through genetic assimilation of plastic responses, potentially constraining further adaptation and range expansion.
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27
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Chao A, Colwell RK, Gotelli NJ, Thorn S. Proportional mixture of two rarefaction/extrapolation curves to forecast biodiversity changes under landscape transformation. Ecol Lett 2019; 22:1913-1922. [PMID: 31385450 DOI: 10.1111/ele.13322] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 03/20/2019] [Accepted: 05/14/2019] [Indexed: 11/30/2022]
Abstract
Progressive habitat transformation causes global changes in landscape biodiversity patterns, but can be hard to quantify. Rarefaction/extrapolation approaches can quantify within-habitat biodiversity, but may not be useful for cases in which one habitat type is progressively transformed into another habitat type. To quantify biodiversity patterns in such transformed landscapes, we use Hill numbers to analyse individual-based species abundance data or replicated, sample-based incidence data. Given biodiversity data from two distinct habitat types, when a specified proportion of original habitat is transformed, our approach utilises a proportional mixture of two within-habitat rarefaction/extrapolation curves to analytically predict biodiversity changes, with bootstrap confidence intervals to assess sampling uncertainty. We also derive analytic formulas for assessing species composition (i.e. the numbers of shared and unique species) for any mixture of the two habitat types. Our analytical and numerical analyses revealed that species unique to each habitat type are the most important determinants of landscape biodiversity patterns.
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Affiliation(s)
- Anne Chao
- Institute of Statistics, National Tsing Hua University, Hsin-Chu, 30043, Taiwan
| | - Robert K Colwell
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, 06269, USA.,University of Colorado Museum of Natural History, Boulder, CO, 80309, USA
| | - Nicholas J Gotelli
- Department of Biology, University of Vermont, Burlington, VT, 05405, USA
| | - Simon Thorn
- Field Station Fabrikschleichach, Biocenter, University of Würzburg, Glashüttenstr. 5, 96181, Rauhenebrach, Germany
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28
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Vaughan IP, Gotelli NJ. Water quality improvements offset the climatic debt for stream macroinvertebrates over twenty years. Nat Commun 2019; 10:1956. [PMID: 31028258 PMCID: PMC6486586 DOI: 10.1038/s41467-019-09736-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Accepted: 03/29/2019] [Indexed: 11/28/2022] Open
Abstract
Many species are accumulating climatic debt as they fail to keep pace with increasing global temperatures. In theory, concomitant decreases in other stressors (e.g. pollution, fragmentation) could offset some warming effects, paying climatic debt with accrued environmental credit. This process may be occurring in many western European rivers. We fit a Markov chain model to ~20,000 macroinvertebrate samples from England and Wales, and demonstrate that despite large temperature increases 1991-2011, macroinvertebrate communities remained close to their predicted equilibrium with environmental conditions. Using a novel analysis of multiple stressors, an accumulated climatic debt of 0.64 (±0.13 standard error) °C of warming was paid by a water-quality credit equivalent to 0.89 (±0.04)°C of cooling. Although there is finite scope for mitigating additional climate warming in this way, water quality improvements appear to have offset recent temperature increases, and the concept of environmental credit may be a useful tool for communicating climate offsetting.
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Affiliation(s)
- Ian P Vaughan
- Cardiff School of Biosciences and Water Research Institute, Cardiff University, Cardiff, CF10 3AX, UK.
- Department of Biology, University of Vermont, Burlington, VT, 05405, USA.
| | - Nicholas J Gotelli
- Department of Biology, University of Vermont, Burlington, VT, 05405, USA
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29
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Ma ZS, Li L, Gotelli NJ. Diversity-disease relationships and shared species analyses for human microbiome-associated diseases. ISME J 2019; 13:1911-1919. [PMID: 30894688 DOI: 10.1038/s41396-019-0395-y] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Revised: 02/24/2019] [Accepted: 03/05/2019] [Indexed: 01/20/2023]
Abstract
Diversity indices have been routinely computed in the study of human microbiome-associated diseases (MADs). However, it is still unclear whether there is a consistent diversity-disease relationship (DDR) for the human MADs, and whether there are consistent differences in the taxonomic composition of microbiomes sampled from healthy versus diseased individuals. Here we reanalyzed raw data and used a meta-analysis to compare the microbiome diversity and composition of healthy versus diseased individuals in 41 comparisons extracted from 27 previously published studies of human MADs. In the DDR analysis, the average effect size across studies did not differ from zero for a comparison of healthy versus diseased individuals. In 30 of 41 comparisons (73%) there was no significant difference in microbiome diversity of healthy versus diseased individuals, or of different disease classes. For the species composition analysis (shared species analysis), the effect sizes were significantly different from zero. In 33 of 41 comparisons (80%), there were fewer OTUs (operational taxonomic units) shared between healthy and diseased individuals than expected by chance, but with 49% (20 of 41 comparisons) statistically significant. These results imply that the taxonomic composition of disease-associated microbiomes is often distinct from that of healthy individuals. Because species composition changes with disease state, some microbiome OTUs may serve as potential diagnostic indicators of disease. However, the overall species diversity of human microbiomes is not a reliable indicator of disease.
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Affiliation(s)
- Zhanshan Sam Ma
- Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China. .,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Lianwei Li
- Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Nicholas J Gotelli
- Department of Biology, University of Vermont Burlington, Burlington, VT, 05405, USA.
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30
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Dornelas M, Gotelli NJ, Shimadzu H, Moyes F, Magurran AE, McGill BJ. A balance of winners and losers in the Anthropocene. Ecol Lett 2019; 22:847-854. [DOI: 10.1111/ele.13242] [Citation(s) in RCA: 106] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 11/03/2018] [Accepted: 02/01/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Maria Dornelas
- Centre for Biological Diversity and Scottish Oceans Institute School of Biology University of St Andrews St Andrews FifeKY16 9TH UK
| | | | - Hideyasu Shimadzu
- Department of Mathematical Sciences Loughborough University Loughborough LeicestershireLE11 3TU UK
| | - Faye Moyes
- Centre for Biological Diversity and Scottish Oceans Institute School of Biology University of St Andrews St Andrews FifeKY16 9TH UK
| | - Anne E. Magurran
- Centre for Biological Diversity and Scottish Oceans Institute School of Biology University of St Andrews St Andrews FifeKY16 9TH UK
| | - Brian J. McGill
- School of Biology and Ecology Sustainability Solutions Initiative University of Maine Orono ME04469 USA
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31
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Ulrich W, Puchałka R, Koprowski M, Strona G, Gotelli NJ. Ecological drift and competitive interactions predict unique patterns in temporal fluctuations of population size. Ecology 2019; 100:e02623. [PMID: 30644544 DOI: 10.1002/ecy.2623] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 12/07/2018] [Accepted: 12/20/2018] [Indexed: 11/08/2022]
Abstract
Recent studies have highlighted the importance of higher-order competitive interactions in stabilizing population dynamics in multi-species communities. But how does the structure of competitive hierarchies affect population dynamics and extinction processes? We tackled this important question by using spatially explicit simulations of ecological drift (10 species in a homogeneous landscape of 64 patches) in which birth rates were influenced by interspecific competition. Specifically, we examined how transitive (linear pecking orders) and intransitive (pecking orders with loops) competitive hierarchies affected extinction rates and population dynamics in simulated communities through time. In comparison to a pure neutral model, an ecological drift model including transitive competition increased extinction rates, caused synchronous density-dependent population fluctuations, and generated a white-noise distribution of population sizes. In contrast, the drift model with intransitive competitive interactions decreased extinctions rates, caused asynchronous (compensatory) density-dependent population fluctuations, and generated a brown noise distribution of population sizes. We also explored the effect on community stability of more complex patterns of competitive interactions in which pairwise competitive relationships were assigned probabilistically. These probabilistic competition models also generated density-dependent trajectories and a brown noise distribution of population sizes. However, extinction rates and the degree of population synchrony were comparable to those observed in purely neutral communities. Collectively, our results confirm that intransitive competition has a strong and stabilizing effect on local populations in species-poor communities. This effect wanes with increasing species richness. Empirical assemblages characterized by brown spectral noise, density-dependent regulation, and asynchronous (compensatory) population fluctuations may indicate a signature of intransitive competitive interactions.
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Affiliation(s)
- Werner Ulrich
- Department of Ecology and Biogeography, Nicolaus Copernicus University, Toruń, Poland
| | - Radosław Puchałka
- Department of Ecology and Biogeography, Nicolaus Copernicus University, Toruń, Poland
| | - Marcin Koprowski
- Department of Ecology and Biogeography, Nicolaus Copernicus University, Toruń, Poland
| | - Giovanni Strona
- Directorate D, Sustainable Resources, European Commission, Joint Research Centre, Ispra, Italy
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32
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Lau MK, Ellison AM, Nguyen A, Penick C, DeMarco B, Gotelli NJ, Sanders NJ, Dunn RR, Helms Cahan S. Draft Aphaenogaster genomes expand our view of ant genome size variation across climate gradients. PeerJ 2019; 7:e6447. [PMID: 30881761 PMCID: PMC6417409 DOI: 10.7717/peerj.6447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 01/10/2019] [Indexed: 11/30/2022] Open
Abstract
Given the abundance, broad distribution, and diversity of roles that ants play in many ecosystems, they are an ideal group to serve as ecosystem indicators of climatic change. At present, only a few whole-genome sequences of ants are available (19 of >16,000 species), mostly from tropical and sub-tropical species. To address this limited sampling, we sequenced genomes of temperate-latitude species from the genus Aphaenogaster, a genus with important seed dispersers. In total, we sampled seven colonies of six species: Aphaenogaster ashmeadi, Aphaenogaster floridana, Aphaenogaster fulva, Aphaenogaster miamiana, Aphaenogaster picea, and Aphaenogaster rudis. The geographic ranges of these species collectively span eastern North America from southern Florida to southern Canada, which encompasses a latitudinal gradient in which many climatic variables are changing rapidly. For the six genomes, we assembled an average of 271,039 contigs into 47,337 scaffolds. The Aphaenogaster genomes displayed high levels of completeness with 96.1% to 97.6% of Hymenoptera BUSCOs completely represented, relative to currently sequenced ant genomes which ranged from 88.2% to 98.5%. Additionally, the mean genome size was 370.5 Mb, ranging from 310.3 to 429.7, which is comparable to that of other sequenced ant genomes (212.8-396.0 Mb) and flow cytometry estimates (210.7-690.4 Mb). In an analysis of currently sequenced ant genomes and the new Aphaenogaster sequences, we found that after controlling for both spatial autocorrelation and phylogenetics ant genome size was marginally correlated with sample site climate similarity. Of all examined climate variables, minimum temperature, and annual precipitation had the strongest correlations with genome size, with ants from locations with colder minimum temperatures and higher levels of precipitation having larger genomes. These results suggest that climate extremes could be a selective force acting on ant genomes and point to the need for more extensive sequencing of ant genomes.
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Affiliation(s)
| | | | - Andrew Nguyen
- Department of Entomology and Nematology, University of Florida, Gainesville, FL, USA
- Department of Biology, University of Vermont, Burlington, VT, USA
| | - Clint Penick
- The Biomimicry Center, Arizona State University, Tempe, AZ, USA
| | | | | | - Nathan J. Sanders
- Environmental Program, Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, VT, USA
| | - Robert R. Dunn
- Department of Applied Ecology, North Carolina State University, Raleigh, NC, USA
| | - Sara Helms Cahan
- Department of Biology, University of Vermont, Burlington, VT, USA
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33
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McGlinn DJ, Xiao X, May F, Gotelli NJ, Engel T, Blowes SA, Knight TM, Purschke O, Chase JM, McGill BJ. Measurement of Biodiversity (MoB): A method to separate the scale‐dependent effects of species abundance distribution, density, and aggregation on diversity change. Methods Ecol Evol 2018. [DOI: 10.1111/2041-210x.13102] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
| | - Xiao Xiao
- School of Biology and Ecology, and Senator George J. Mitchell Center of Sustainability SolutionsUniversity of Maine Orono Maine
| | - Felix May
- Leuphana University Lüneburg Lüneburg Germany
- German Centre for Integrative Biodiversity Research (iDiv)Halle‐Jena‐Leipzig Leipzig Germany
| | | | - Thore Engel
- German Centre for Integrative Biodiversity Research (iDiv)Halle‐Jena‐Leipzig Leipzig Germany
| | - Shane A. Blowes
- German Centre for Integrative Biodiversity Research (iDiv)Halle‐Jena‐Leipzig Leipzig Germany
| | - Tiffany M. Knight
- German Centre for Integrative Biodiversity Research (iDiv)Halle‐Jena‐Leipzig Leipzig Germany
- Institute of BiologyMartin Luther University Halle‐Wittenberg Halle (Saale) Germany
- Department of Community EcologyHelmholtz Centre for Environmental Research – UFZ Halle (Saale) Germany
| | - Oliver Purschke
- German Centre for Integrative Biodiversity Research (iDiv)Halle‐Jena‐Leipzig Leipzig Germany
| | - Jonathan M. Chase
- German Centre for Integrative Biodiversity Research (iDiv)Halle‐Jena‐Leipzig Leipzig Germany
- Department of Computer ScienceMartin Luther University, Halle‐Wittenberg Leipzig Germany
| | - Brian J. McGill
- School of Biology and Ecology, and Senator George J. Mitchell Center of Sustainability SolutionsUniversity of Maine Orono Maine
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34
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Chao A, Chiu CH, Colwell RK, Magnago LFS, Chazdon RL, Gotelli NJ. Deciphering the enigma of undetected species, phylogenetic, and functional diversity based on Good-Turing theory. Ecology 2018; 98:2914-2929. [PMID: 28869780 DOI: 10.1002/ecy.2000] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Revised: 04/27/2017] [Accepted: 07/24/2017] [Indexed: 11/07/2022]
Abstract
Estimating the species, phylogenetic, and functional diversity of a community is challenging because rare species are often undetected, even with intensive sampling. The Good-Turing frequency formula, originally developed for cryptography, estimates in an ecological context the true frequencies of rare species in a single assemblage based on an incomplete sample of individuals. Until now, this formula has never been used to estimate undetected species, phylogenetic, and functional diversity. Here, we first generalize the Good-Turing formula to incomplete sampling of two assemblages. The original formula and its two-assemblage generalization provide a novel and unified approach to notation, terminology, and estimation of undetected biological diversity. For species richness, the Good-Turing framework offers an intuitive way to derive the non-parametric estimators of the undetected species richness in a single assemblage, and of the undetected species shared between two assemblages. For phylogenetic diversity, the unified approach leads to an estimator of the undetected Faith's phylogenetic diversity (PD, the total length of undetected branches of a phylogenetic tree connecting all species), as well as a new estimator of undetected PD shared between two phylogenetic trees. For functional diversity based on species traits, the unified approach yields a new estimator of undetected Walker et al.'s functional attribute diversity (FAD, the total species-pairwise functional distance) in a single assemblage, as well as a new estimator of undetected FAD shared between two assemblages. Although some of the resulting estimators have been previously published (but derived with traditional mathematical inequalities), all taxonomic, phylogenetic, and functional diversity estimators are now derived under the same framework. All the derived estimators are theoretically lower bounds of the corresponding undetected diversities; our approach reveals the sufficient conditions under which the estimators are nearly unbiased, thus offering new insights. Simulation results are reported to numerically verify the performance of the derived estimators. We illustrate all estimators and assess their sampling uncertainty with an empirical dataset for Brazilian rain forest trees. These estimators should be widely applicable to many current problems in ecology, such as the effects of climate change on spatial and temporal beta diversity and the contribution of trait diversity to ecosystem multi-functionality.
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Affiliation(s)
- Anne Chao
- Institute of Statistics, National Tsing Hua University, Hsin-Chu, 30043, Taiwan
| | - Chun-Huo Chiu
- Institute of Statistics, National Tsing Hua University, Hsin-Chu, 30043, Taiwan
| | - Robert K Colwell
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut, 06269, USA.,University of Colorado Museum of Natural History, Boulder, Colorado, 80309, USA.,Departmento de Ecologia, Universidade Federal de Goiás, CP 131, 74.001-970, Goiânia, GO, Brasil
| | - Luiz Fernando S Magnago
- Departamento de Biologia, Setor de Ecologia e Conservação, Universidade Federal de Lavras, Lavras, 37200-000, Brasil
| | - Robin L Chazdon
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut, 06269, USA.,Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, 80309, USA
| | - Nicholas J Gotelli
- Department of Biology, University of Vermont, Burlington, Vermont, 05405, USA
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35
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Chase JM, McGill BJ, McGlinn DJ, May F, Blowes SA, Xiao X, Knight TM, Purschke O, Gotelli NJ. Embracing scale‐dependence to achieve a deeper understanding of biodiversity and its change across communities. Ecol Lett 2018; 21:1737-1751. [DOI: 10.1111/ele.13151] [Citation(s) in RCA: 140] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 02/19/2018] [Accepted: 08/02/2018] [Indexed: 01/19/2023]
Affiliation(s)
- Jonathan M. Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Deutscher Platz 5e 04103 Leipzig Germany
- Department of Computer Science Martin Luther University 06099 Halle Germany
| | - Brian J. McGill
- School of Biology and Ecology University of Maine Orono ME 04469 USA
- Mitchell Center for Sustainability Solutions University of Maine Orono ME 04469 USA
| | | | - Felix May
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Deutscher Platz 5e 04103 Leipzig Germany
- Leuphana University Lüneburg Universitätsallee 1 D‐21335 Lüneburg Germany
| | - Shane A. Blowes
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Deutscher Platz 5e 04103 Leipzig Germany
| | - Xiao Xiao
- School of Biology and Ecology University of Maine Orono ME 04469 USA
| | - Tiffany M. Knight
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Deutscher Platz 5e 04103 Leipzig Germany
- Department Community Ecology Helmholtz Centre for Environmental Research – UFZ Theodor‐Lieser‐Strasse 4 06120 Halle Germany
- Institute of Biology Martin Luther University Halle‐Wittenberg Am Kirchtor 1 06108 Halle Germany
| | - Oliver Purschke
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Deutscher Platz 5e 04103 Leipzig Germany
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36
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37
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Strona G, Ulrich W, Gotelli NJ. Bi‐dimensional null model analysis of presence‐absence binary matrices. Ecology 2017; 99:103-115. [DOI: 10.1002/ecy.2043] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 09/08/2017] [Accepted: 10/04/2017] [Indexed: 11/05/2022]
Affiliation(s)
- Giovanni Strona
- Directorate D – Sustainable Resources Joint Research Centre European Commission Via E. Fermi 2749 21027 Ispra (VA)Italy
| | - Werner Ulrich
- Ecology and Biogeography Nicolaus Copernicus University in Toruń Lwowska 1 87‐100 ToruńPoland
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38
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Vaughan IP, Gotelli NJ, Memmott J, Pearson CE, Woodward G, Symondson WOC. econullnetr: An
r
package using null models to analyse the structure of ecological networks and identify resource selection. Methods Ecol Evol 2017. [DOI: 10.1111/2041-210x.12907] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Ian P. Vaughan
- Cardiff School of BiosciencesCardiff University Cardiff UK
| | | | - Jane Memmott
- Life Sciences BuildingUniversity of Bristol Bristol UK
| | | | - Guy Woodward
- Department of Life SciencesImperial College London Ascot, Berkshire UK
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39
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Northrop AC, Brooks R, Ellison AM, Gotelli NJ, Ballif BA. Environmental proteomics reveals taxonomic and functional changes in an enriched aquatic ecosystem. Ecosphere 2017; 8. [PMID: 29177104 DOI: 10.1002/ecs2.1954] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Aquatic ecosystem enrichment can lead to distinct and irreversible changes to undesirable states. Understanding changes in active microbial community function and composition following organic-matter loading in enriched ecosystems can help identify biomarkers of such state changes. In a field experiment, we enriched replicate aquatic ecosystems in the pitchers of the northern pitcher plant, Sarracenia purpurea. Shotgun metaproteomics using a custom metagenomic database identified proteins, molecular pathways, and contributing microbial taxa that differentiated control ecosystems from those that were enriched. The number of microbial taxa contributing to protein expression was comparable between treatments; however, taxonomic evenness was higher in controls. Functionally active bacterial composition differed significantly among treatments and was more divergent in control pitchers than enriched pitchers. Aerobic and facultative anaerobic bacteria contributed most to identified proteins in control and enriched ecosystems, respectively. The molecular pathways and contributing taxa in enriched pitcher ecosystems were similar to those found in larger enriched aquatic ecosystems and are consistent with microbial processes occurring at the base of detrital food webs. Detectable differences between protein profiles of enriched and control ecosystems suggest that a time series of environmental proteomics data may identify protein biomarkers of impending state changes to enriched states.
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Affiliation(s)
- Amanda C Northrop
- Department of Biology, University of Vermont, Burlington, Vermont 05405 USA
| | - Rachel Brooks
- Department of Biology, University of Vermont, Burlington, Vermont 05405 USA
| | - Aaron M Ellison
- Harvard Forest, Harvard University, Petersham, Massachusetts 01366 USA
| | - Nicholas J Gotelli
- Department of Biology, University of Vermont, Burlington, Vermont 05405 USA
| | - Bryan A Ballif
- Department of Biology, University of Vermont, Burlington, Vermont 05405 USA
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40
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Affiliation(s)
- Matthew K. Lau
- Harvard Forest Harvard University Petersham Massachusetts 02138 USA
| | - Stuart R. Borrett
- Department of Biology and Marine Biology University of North Carolina Wilmington North Carolina 28403 USA
- Duke Network Analysis Center Social Science Research Institute Duke University Durham North Carolina 27708 USA
| | - Benjamin Baiser
- Department of Wildlife Ecology and Conservation University of Florida Gainesville Florida 32611 USA
| | | | - Aaron M. Ellison
- Harvard Forest Harvard University Petersham Massachusetts 02138 USA
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41
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Gotelli NJ, Shimadzu H, Dornelas M, McGill B, Moyes F, Magurran AE. Community-level regulation of temporal trends in biodiversity. Sci Adv 2017; 3:e1700315. [PMID: 28782021 PMCID: PMC5529063 DOI: 10.1126/sciadv.1700315] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Accepted: 06/21/2017] [Indexed: 05/12/2023]
Abstract
Many theoretical models of community dynamics predict that species richness (S) and total abundance (N) are regulated in their temporal fluctuations. We present novel evidence for widespread regulation of biodiversity. For 59 plant and animal assemblages from around the globe monitored annually for a decade or more, the majority exhibited regulated fluctuations compared to the null hypothesis of an unconstrained random walk. However, there was little evidence for statistical artifacts, regulation driven by correlations with average annual temperature, or local-scale compensatory fluctuations in S or N. In the absence of major environmental perturbations, such as urbanization or cropland transformation, species richness and abundance may be buffered and exhibit some resilience in their temporal trajectories. These results suggest that regulatory processes are occurring despite unprecedented environmental change, highlighting the need for community-level assessment of biodiversity trends, as well as extensions of existing theory to address open source pools and shifting environmental conditions.
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Affiliation(s)
- Nicholas J. Gotelli
- Department of Biology, University of Vermont, Burlington, VT 05405, USA
- Corresponding author.
| | - Hideyasu Shimadzu
- Department of Mathematical Sciences, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK
- Centre for Biological Diversity and Scottish Oceans Institute, School of Biology, University of St. Andrews, St. Andrews, Fife KY16 9TH, UK
| | - Maria Dornelas
- Centre for Biological Diversity and Scottish Oceans Institute, School of Biology, University of St. Andrews, St. Andrews, Fife KY16 9TH, UK
| | - Brian McGill
- School of Biology and Ecology, Sustainability Solutions Initiative, University of Maine, Orono, ME 04469, USA
| | - Faye Moyes
- Centre for Biological Diversity and Scottish Oceans Institute, School of Biology, University of St. Andrews, St. Andrews, Fife KY16 9TH, UK
| | - Anne E. Magurran
- Centre for Biological Diversity and Scottish Oceans Institute, School of Biology, University of St. Andrews, St. Andrews, Fife KY16 9TH, UK
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42
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Ulrich W, Kryszewski W, Sewerniak P, Puchałka R, Strona G, Gotelli NJ. A comprehensive framework for the study of species co-occurrences, nestedness and turnover. OIKOS 2017. [DOI: 10.1111/oik.04166] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Werner Ulrich
- Faculty of Biology and Environmental Protection, Nicolaus Copernicus Univ. in Toruń, Lwowska 1; PL-87-100 Toruń Poland
| | - Wojciech Kryszewski
- Faculty of Mathematics and Informatics, Nicolaus Copernicus Univ. in Toruń; Toruń Poland
| | - Piotr Sewerniak
- Dept of Soil Science and Landscape Management; Nicolaus Copernicus Univ.; Toruń Poland
| | - Radosław Puchałka
- Faculty of Biology and Environmental Protection, Nicolaus Copernicus Univ. in Toruń, Lwowska 1; PL-87-100 Toruń Poland
| | - Giovanni Strona
- European Commission Joint Research Centre, Inst. for Environment and Sustainability; Ispra Italy
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43
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Moore J, Gotelli NJ. EVOLUTIONARY PATTERNS OF ALTERED BEHAVIOR AND SUSCEPTIBILITY IN PARASITIZED HOSTS. Evolution 2017; 50:807-819. [DOI: 10.1111/j.1558-5646.1996.tb03890.x] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/1994] [Accepted: 02/28/1995] [Indexed: 11/27/2022]
Affiliation(s)
- Janice Moore
- Department of Biology Colorado State University Fort Collins Colorado 80523
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44
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Arnett AE, Gotelli NJ. GEOGRAPHIC VARIATION IN LIFE-HISTORY TRAITS OF THE ANT LION, MYRMELEON IMMACULATUS: EVOLUTIONARY IMPLICATIONS OF BERGMANN'S RULE. Evolution 2017; 53:1180-1188. [PMID: 28565522 DOI: 10.1111/j.1558-5646.1999.tb04531.x] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/1998] [Accepted: 02/15/1999] [Indexed: 11/29/2022]
Abstract
In eastern North America, body size of the larval ant lion Myrmeleon immaculatus increases from south to north, following Bergmann's rule. We used a common-garden experiment and a reciprocal-transplant experiment to evaluate the effects of food and temperature on ant lion growth, body size, and survivorship. In the laboratory common-garden experiment, first-instar larvae from two southern (Georgia, South Carolina) and two northern (Connecticut, Rhode Island) populations were reared in incubators under high- and low-food and high- and low-temperature regimes. For all populations, high food increased final body mass and growth rate and decreased development time. Growth rates were higher at low temperatures, but temperature did not affect larval or adult body mass. Survivorship was highest in high-food and low-temperature treatments. Across all food and temperature treatments, northern populations exhibited a larger final body mass, shorter development time, faster growth rate, and greater survivorship than did southern populations. Results were similar for a field reciprocal-transplant experiment of third-instar larvae between populations in Connecticut and Oklahoma: Connecticut larvae grew faster than Oklahoma larvae, regardless of transplant site. Conversely, larvae transplanted to Oklahoma grew faster than larvae transplanted to Connecticut, regardless of population source. These results suggest that variation in food availability, not temperature, may account for differences in growth and body size of northern and southern ant lions. Although northern larvae grew faster and reached a larger body size in both experiments, northern environments should suppress growth because of reduced food availability and a limited growing season. This study provides the first example of countergradient selection causing Bergmann's rule in an ectotherm.
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Affiliation(s)
- Amy E Arnett
- Department of Biology, University of Vermont, Burlington, Vermont, 05405
| | - Nicholas J Gotelli
- Department of Biology, University of Vermont, Burlington, Vermont, 05405
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45
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Diamond SE, Chick L, Penick CA, Nichols LM, Cahan SH, Dunn RR, Ellison AM, Sanders NJ, Gotelli NJ. Heat tolerance predicts the importance of species interaction effects as the climate changes. Integr Comp Biol 2017; 57:112-120. [DOI: 10.1093/icb/icx008] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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46
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Nguyen AD, DeNovellis K, Resendez S, Pustilnik JD, Gotelli NJ, Parker JD, Cahan SH. Effects of desiccation and starvation on thermal tolerance and the heat-shock response in forest ants. J Comp Physiol B 2017; 187:1107-1116. [DOI: 10.1007/s00360-017-1101-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 04/17/2017] [Accepted: 04/19/2017] [Indexed: 12/21/2022]
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47
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Gross N, Le Bagousse-Pinguet Y, Liancourt P, Berdugo M, Gotelli NJ, Maestre FT. Functional trait diversity maximizes ecosystem multifunctionality. Nat Ecol Evol 2017; 1:132. [PMID: 28497123 PMCID: PMC5421574 DOI: 10.1038/s41559-017-0132] [Citation(s) in RCA: 148] [Impact Index Per Article: 21.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 03/08/2017] [Indexed: 11/10/2022]
Abstract
Understanding the relationship between biodiversity and ecosystem functioning has been a core ecological research topic over the last decades. Although a key hypothesis is that the diversity of functional traits determines ecosystem functioning, we do not know how much trait diversity is needed to maintain multiple ecosystem functions simultaneously (multifunctionality). Here, we uncovered a scaling relationship between the abundance distribution of two key plant functional traits (specific leaf area, maximum plant height) and multifunctionality in 124 dryland plant communities spread over all continents except Antarctica. For each trait, we found a strong empirical relationship between the skewness and the kurtosis of the trait distributions that cannot be explained by chance. This relationship predicted a strikingly high trait diversity within dryland plant communities, which was associated with a local maximization of multifunctionality. Skewness and kurtosis had a much stronger impact on multifunctionality than other important multifunctionality drivers such as species richness and aridity. The scaling relationship identified here quantifies how much trait diversity is required to maximize multifunctionality locally. Trait distributions can be used to predict the functional consequences of biodiversity loss in terrestrial ecosystems.
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Affiliation(s)
- Nicolas Gross
- Departamento de Biología y Geología, Física y Química Inorgánica, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad Rey Juan Carlos, C/ Tulipán s/n, 28933 Móstoles, Spain.,INRA, USC1339 Chizé (CEBC), F-79360, Villiers en Bois, France.,Centre d'étude biologique de Chizé, CNRS - Université La Rochelle (UMR 7372), F-79360, Villiers en Bois, France
| | - Yoann Le Bagousse-Pinguet
- Departamento de Biología y Geología, Física y Química Inorgánica, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad Rey Juan Carlos, C/ Tulipán s/n, 28933 Móstoles, Spain
| | - Pierre Liancourt
- Institute of Botany, Czech Academy of Sciences, Dukelská 135, 379 82 Trebon, Czech Republic
| | - Miguel Berdugo
- Departamento de Biología y Geología, Física y Química Inorgánica, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad Rey Juan Carlos, C/ Tulipán s/n, 28933 Móstoles, Spain
| | - Nicholas J Gotelli
- Department of Biology, University of Vermont, Burlington, Vermont, 05405, USA
| | - Fernando T Maestre
- Departamento de Biología y Geología, Física y Química Inorgánica, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad Rey Juan Carlos, C/ Tulipán s/n, 28933 Móstoles, Spain
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48
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Gibb H, Dunn RR, Sanders NJ, Grossman BF, Photakis M, Abril S, Agosti D, Andersen AN, Angulo E, Armbrecht I, Arnan X, Baccaro FB, Bishop TR, Boulay R, Brühl C, Castracani C, Cerda X, Del Toro I, Delsinne T, Diaz M, Donoso DA, Ellison AM, Enriquez ML, Fayle TM, Feener DH, Fisher BL, Fisher RN, Fitzpatrick MC, Gómez C, Gotelli NJ, Gove A, Grasso DA, Groc S, Guenard B, Gunawardene N, Heterick B, Hoffmann B, Janda M, Jenkins C, Kaspari M, Klimes P, Lach L, Laeger T, Lattke J, Leponce M, Lessard JP, Longino J, Lucky A, Luke SH, Majer J, McGlynn TP, Menke S, Mezger D, Mori A, Moses J, Munyai TC, Pacheco R, Paknia O, Pearce-Duvet J, Pfeiffer M, Philpott SM, Resasco J, Retana J, Silva RR, Sorger MD, Souza J, Suarez A, Tista M, Vasconcelos HL, Vonshak M, Weiser MD, Yates M, Parr CL. A global database of ant species abundances. Ecology 2017; 98:883-884. [DOI: 10.1002/ecy.1682] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 11/22/2016] [Accepted: 11/29/2016] [Indexed: 11/07/2022]
Affiliation(s)
- Heloise Gibb
- Department of Ecology, Environment and Evolution; La Trobe University; Melbourne 3086 Victoria Australia
| | - Rob R. Dunn
- Department of Applied Ecology; North Carolina State University; Raleigh North Carolina 27695 USA
- Center for Macroecology, Evolution, and Climate; Natural History Museum of Denmark; University of Copenhagen; Universitetsparken 15 DK-2100 Copenhagen Ø Denmark
| | - Nathan J. Sanders
- Center for Macroecology, Evolution, and Climate; Natural History Museum of Denmark; University of Copenhagen; Universitetsparken 15 DK-2100 Copenhagen Ø Denmark
| | - Blair F. Grossman
- Department of Ecology, Environment and Evolution; La Trobe University; Melbourne 3086 Victoria Australia
| | - Manoli Photakis
- Department of Ecology, Environment and Evolution; La Trobe University; Melbourne 3086 Victoria Australia
| | - Silvia Abril
- Department of Environmental Science; University of Girona; Montilivi Campus s/n 17071 Girona Spain
| | - Donat Agosti
- Naturhistorisches Museum Bern; Bernastrasse 15 3005 Bern Switzerland
| | - Alan N. Andersen
- CSIRO Ecosystem Sciences, Tropical Ecosystems Research Centre; PMB 44 Winnellie Northern Territory 0822 Australia
| | - Elena Angulo
- Departamento de Etología y Conservación de la Biodiversidad; Estación Biológica de Doñana; Avenida Americo Vespucio s/n (Isla de la Cartuja) Sevilla 41092 Spain
| | - Inge Armbrecht
- Facultad de Ciencias Naturales y Exactas; Universidad del Valle; Cali Colombia
| | - Xavier Arnan
- Departamento de Botânica; Universidade Federal Pernambuco; Avenida Prof Moraes Rego s/no Cidade Universitária Pernambuco Brazil
| | - Fabricio B. Baccaro
- Departamento de Biologia; Universidade Federal do Amazonas-UFAM; Manaus Amazonas Brazil
| | - Tom R. Bishop
- Department of Earth, Ocean and Ecological Sciences; University of Liverpool; Liverpool L69 3GP United Kingdom
- Department of Zoology and Entomology; Centre for Invasion Biology; University of Pretoria; Pretoria 0002 South Africa
| | - Raphaël Boulay
- Institut de Recherche sur la Biologie de l'Insecte et Département, d'Aménagement du Territoire Université; François Rabelais de Tours; Tours 37200 France
| | - Carsten Brühl
- Institute for Environmental Sciences; University Koblenz-Landau; Fortstraße 7 76829 Landau in der Pfalz Germany
| | - Cristina Castracani
- Department of Life Sciences; University of Parma; Parco Area delle Scienze 11/A Parma 43124 Italy
| | - Xim Cerda
- Departamento de Etología y Conservación de la Biodiversidad; Estación Biológica de Doñana; Avenida Americo Vespucio s/n (Isla de la Cartuja) Sevilla 41092 Spain
| | - Israel Del Toro
- Center for Macroecology, Evolution, and Climate; Natural History Museum of Denmark; University of Copenhagen; Universitetsparken 15 DK-2100 Copenhagen Ø Denmark
| | - Thibaut Delsinne
- Société d'Histoire Naturelle Alcide-d'Orbigny; 57 rue de Gergovie 63170 Aubière France
| | - Mireia Diaz
- Department of Environmental Science; University of Girona; Montilivi Campus s/n 17071 Girona Spain
| | - David A. Donoso
- Instituto de Ciencias Biológicas; Escuela Politécnica Nacional; Avenida Ladrón de Guevara E11253 Quito Ecuador
| | - Aaron M. Ellison
- Harvard Forest; Harvard University; 324 North Main Street Petersham Massachusetts 01366 USA
- Departments of Biology and Environmental Conservation; University of Massachusetts; Morrill Science Center and Holdsworth Hall, 611 North Pleasant Street Amherst Massachusetts 01003 USA
- Faculty of Arts, Business and Law; Tropical Forests and People Research Centre; University of the Sunshine Coast; 90 Sippy Downs Drive Sippy Downs Queensland 4556 Australia
| | - Martha L. Enriquez
- Department of Environmental Science; University of Girona; Montilivi Campus s/n 17071 Girona Spain
| | - Tom M. Fayle
- Institute of Entomology; Biology Centre of Academy of Sciences Czech Republic and Faculty of Science; University of South Bohemia; Branišovská 31 České Budějovice 370 05 Czech Republic
- Forest Ecology and Conservation Group; Imperial College London; Silwood Park Campus, Buckhurst Road Ascot SL5 7PY United Kingdom
| | - Donald H. Feener
- Department of Biology; University of Utah; Salt Lake City Utah 84112 USA
| | - Brian L. Fisher
- Entomology; California Academy of Sciences; San Francisco California USA
| | - Robert N. Fisher
- Western Ecological Research Center; U.S. Geological Survey; San Diego Field Station 4165 Spruance Road, Suite 200 San Diego California 92101 USA
| | - Matthew C. Fitzpatrick
- Appalachian Laboratory; University of Maryland Centre for Environmental Science; Frostburg Maryland 21532 USA
| | - Crisanto Gómez
- Department of Environmental Science; University of Girona; Montilivi Campus s/n 17071 Girona Spain
| | | | - Aaron Gove
- Astron Environmental Services; Perth Western Australia Australia
- Department of Environment and Agriculture; Curtin University; G.P.O. Box U1987 Perth Western Australia 6845 Australia
| | - Donato A. Grasso
- Department of Life Sciences; University of Parma; Parco Area delle Scienze 11/A Parma 43124 Italy
| | - Sarah Groc
- Instituto de Biologia; Universidade Federal de Uberlândia (UFU) Rua Ceara; Uberlândia Minas Gerais 38400-902 Brazil
| | - Benoit Guenard
- School of Biological Sciences; The University of Hong Kong; Pok Fu Lam Road Hong Kong China
| | - Nihara Gunawardene
- Department of Environment and Agriculture; Curtin University; G.P.O. Box U1987 Perth Western Australia 6845 Australia
| | - Brian Heterick
- Department of Environment and Agriculture; Curtin University; G.P.O. Box U1987 Perth Western Australia 6845 Australia
| | - Benjamin Hoffmann
- CSIRO Ecosystem Sciences, Tropical Ecosystems Research Centre; PMB 44 Winnellie Northern Territory 0822 Australia
| | - Milan Janda
- Institute of Entomology; Biology Centre of Academy of Sciences Czech Republic and Faculty of Science; University of South Bohemia; Branišovská 31 České Budějovice 370 05 Czech Republic
- Department of Biology; University of Guanajuato; Noria Alta sn. Guanajuato Mexico
| | - Clinton Jenkins
- IPÊ-Instituto de Pesquisas Ecológicas; Nazaré Paulista São Paulo 12960-000 Brazil
| | - Michael Kaspari
- Department of Biology; University of Oklahoma; 730 Van Vleet Oval, Room 314 Norman Oklahoma 73019 USA
| | - Petr Klimes
- Institute of Entomology; Biology Centre of Academy of Sciences Czech Republic and Faculty of Science; University of South Bohemia; Branišovská 31 České Budějovice 370 05 Czech Republic
- New Guinea Binatang Research Center; P.O. Box 604 Madang Papua New Guinea
| | - Lori Lach
- Centre for Tropical Biology and Climate Change; School of Marine and Tropical Biology; James Cook University; P.O. Box 6811 Cairns Queensland 4870 Australia
| | | | - John Lattke
- Departamento de Zoologia; Universidade Federal do Paraná; Caixa Postal 19020 81531-980 Curitiba Paraná Brazil
| | - Maurice Leponce
- Section of Biological Evaluation; Royal Belgian Institute of Natural Sciences; Rue Vautier, 29 Brussels 1000 Belgium
| | | | - John Longino
- Department of Biology; University of Utah; Salt Lake City Utah 84112 USA
| | - Andrea Lucky
- Entomology and Nematology Department; University of Florida; 970 Natural Area Drive Gainesville Florida 32611 USA
| | - Sarah H. Luke
- School of Biological Sciences; University of East Anglia; Norwich NR4 7TJ United Kingdom
- Department of Zoology; University of Cambridge; Downing Street Cambridge CB2 3EJ United Kingdom
| | - Jonathan Majer
- Department of Environment and Agriculture; Curtin University; G.P.O. Box U1987 Perth Western Australia 6845 Australia
- School of Plant Biology; The University of Western Australia; 35 Stirling Highway Crawley Western Australia 6009 Australia
| | - Terrence P. McGlynn
- Depatment of Biology; California State University Dominguez Hills; 1000 East Victoria Street Carson California 90747 USA
- Department of Entomology; Natural History Museum of Los Angeles County; Los Angeles California USA
| | - Sean Menke
- Department of Biology; Lake Forest College; 555 North Sheridan Road Lake Forest Illinois 60045 USA
| | - Dirk Mezger
- Division of Insects; Department of Zoology; Moreau Lab; Field Museum of Natural History; 1400 South Lake Shore Drive Chicago Illinois 60605 USA
| | - Alessandra Mori
- Department of Life Sciences; University of Parma; Parco Area delle Scienze 11/A Parma 43124 Italy
| | - Jimmy Moses
- Institute of Entomology; Biology Centre of Academy of Sciences Czech Republic and Faculty of Science; University of South Bohemia; Branišovská 31 České Budějovice 370 05 Czech Republic
- New Guinea Binatang Research Center; P.O. Box 604 Madang Papua New Guinea
| | - Thinandavha Caswell Munyai
- School of Life Sciences; College of Agriculture Engineering and Science; University of KwaZulu-Natal; Pietermaritzburg 3209 South Africa
| | - Renata Pacheco
- Instituto de Biologia; Universidade Federal de Uberlândia (UFU) Rua Ceara; Uberlândia Minas Gerais 38400-902 Brazil
| | - Omid Paknia
- Institute of Animal Ecology and Cell Biology; TiHo Hannover; Bünteweg 17d Hannover 30559 Germany
| | | | - Martin Pfeiffer
- Department of Ecology; National University of Mongolia; Baga Toiruu 47 P.O. Box 377 Ulaanbaatar 210646 Mongolia
| | - Stacy M. Philpott
- Environmental Studies Department; University of California; 1156 High Street Santa Cruz California 95060 USA
| | - Julian Resasco
- The Department of Ecology and Evolutionary Biology; University of Colorado; UCB 334 Boulder Colorado 80309 USA
| | - Javier Retana
- Universitat Autònoma Barcelona; Cerdanyola del Vallès 08193 Spain
| | - Rogerio R. Silva
- Coordenação de Ciências da Terra e Ecologia; Museu Paraense Emílio Goeldi; Belém Pará Brazil
| | - Magdalena D. Sorger
- Department of Applied Ecology; North Carolina State University; Raleigh North Carolina 27695 USA
| | - Jorge Souza
- Coordenação de Biodiversidade; National Institute of Amazonian Research; Manaus Amazonas Brazil
| | - Andrew Suarez
- Department of Entomology; University of Illinois, Urbana-Champaign; Urbana Illinois 61801 USA
| | - Melanie Tista
- Department of Tropical Ecology and Animal Biodiversity; University of Vienna; Rennweg 14 Vienna 1030 Austria
| | - Heraldo L. Vasconcelos
- Instituto de Biologia; Universidade Federal de Uberlândia (UFU) Rua Ceara; Uberlândia Minas Gerais 38400-902 Brazil
| | - Merav Vonshak
- Department of Biology; Stanford University; Stanford California 94305 USA
| | - Michael D. Weiser
- Department of Biology; University of Oklahoma; 730 Van Vleet Oval, Room 314 Norman Oklahoma 73019 USA
| | - Michelle Yates
- Centre for Behavioural and Physiological Ecology, Zoology; University of New England; Armidale New South Wales Australia
| | - Catherine L. Parr
- Department of Earth, Ocean and Ecological Sciences; University of Liverpool; Liverpool L69 3GP United Kingdom
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Helms Cahan S, Nguyen AD, Stanton-Geddes J, Penick CA, Hernáiz-Hernández Y, DeMarco BB, Gotelli NJ. Modulation of the heat shock response is associated with acclimation to novel temperatures but not adaptation to climatic variation in the ants Aphaenogaster picea and A. rudis. Comp Biochem Physiol A Mol Integr Physiol 2017; 204:113-120. [DOI: 10.1016/j.cbpa.2016.11.017] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2016] [Revised: 11/22/2016] [Accepted: 11/23/2016] [Indexed: 02/04/2023]
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Vellend M, Dornelas M, Baeten L, Beauséjour R, Brown CD, De Frenne P, Elmendorf SC, Gotelli NJ, Moyes F, Myers-Smith IH, Magurran AE, McGill BJ, Shimadzu H, Sievers C. Estimates of local biodiversity change over time stand up to scrutiny. Ecology 2017; 98:583-590. [DOI: 10.1002/ecy.1660] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Revised: 10/14/2016] [Accepted: 11/08/2016] [Indexed: 11/11/2022]
Affiliation(s)
- Mark Vellend
- Département de Biologie; Université de Sherbrooke; 2500 boulevard de l'Université Sherbrooke Quebec J1K 2R1 Canada
| | - Maria Dornelas
- Centre for Biological Diversity and Scottish Oceans Institute; School of Biology; University of St. Andrews; St. Andrews Fife KY16 9TH United Kingdom
| | - Lander Baeten
- Department of Forest and Water Management; Forest & Nature Lab; Ghent University; BE-9090 Melle-Gontrode Belgium
| | - Robin Beauséjour
- Département de Biologie; Université de Sherbrooke; 2500 boulevard de l'Université Sherbrooke Quebec J1K 2R1 Canada
| | - Carissa D. Brown
- Department of Geography; Memorial University; St. John's Newfoundland and Labrador A1B 3X9 Canada
| | - Pieter De Frenne
- Department of Forest and Water Management; Forest & Nature Lab; Ghent University; BE-9090 Melle-Gontrode Belgium
- Department of Plant Production; Ghent University; Proefhoevestraat 22 9090 Melle Belgium
| | | | | | - Faye Moyes
- Centre for Biological Diversity and Scottish Oceans Institute; School of Biology; University of St. Andrews; St. Andrews Fife KY16 9TH United Kingdom
| | - Isla H. Myers-Smith
- School of GeoSciences; University of Edinburgh; Edinburgh EH9 3FF United Kingdom
| | - Anne E. Magurran
- Centre for Biological Diversity and Scottish Oceans Institute; School of Biology; University of St. Andrews; St. Andrews Fife KY16 9TH United Kingdom
| | - Brian J. McGill
- School of Biology and Ecology, Sustainability Solutions Initiative; University of Maine; Orono Maine 04469 USA
| | - Hideyasu Shimadzu
- Department of Mathematical Sciences; Loughborough University; Loughborough Leicestershire LE11 3TU United Kingdom
| | - Caya Sievers
- Centre for Biological Diversity and Scottish Oceans Institute; School of Biology; University of St. Andrews; St. Andrews Fife KY16 9TH United Kingdom
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