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Integrating the underlying structure of stochasticity into community ecology.
Shoemaker, Lauren G; Sullivan, Lauren L; Donohue, Ian; Cabral, Juliano S; Williams, Ryan J; Mayfield, Margaret M; Chase, Jonathan M; Chu, Chengjin; Harpole, W Stanley; Huth, Andreas; HilleRisLambers, Janneke; James, Aubrie R M; Kraft, Nathan J B; May, Felix; Muthukrishnan, Ranjan; Satterlee, Sean; Taubert, Franziska; Wang, Xugao; Wiegand, Thorsten; Yang, Qiang; Abbott, Karen C.
Afiliação
  • Shoemaker LG; Department of Botany, University of Wyoming, 1000 E. University Ave., Laramie, Wyoming, 82017, USA.
  • Sullivan LL; Department of Ecology, Evolution, and Behavior, University of Minnesota, 1987 Upper Buford Circle, Saint Paul, Minnesota, 55108, USA.
  • Donohue I; Department of Ecology and Evolutionary Biology, University of Colorado, 1900 Pleasant Street, Boulder, Colorado, 80309, USA.
  • Cabral JS; Department of Ecology, Evolution, and Behavior, University of Minnesota, 1987 Upper Buford Circle, Saint Paul, Minnesota, 55108, USA.
  • Williams RJ; Division of Biological Sciences, University of Missouri, 105 Tucker Hall, Columbia, Missouri, 65211, USA.
  • Mayfield MM; Department of Zoology, School of Natural Sciences, Trinity College, College Green Dublin 2, Ireland.
  • Chase JM; Synthesis Centre of the German Centre for Integrative Biodiversity Research (sDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, Leipzig, 04103, Germany.
  • Chu C; Ecosystem Modeling, Center of Computation and Theoretical Biology, University of Würzburg, Emil-Fischer-Strasse 32, 97074, Würzburg, Germany.
  • Harpole WS; Division of Biological Sciences, University of Missouri, 105 Tucker Hall, Columbia, Missouri, 65211, USA.
  • Huth A; The University of Queensland, School of Biological Sciences, Goddard Building, Brisbane, Queensland, 4072, Australia.
  • HilleRisLambers J; German Centre for Integrative Biodiversity Research (iDiv), Deutscher Platz 5e, Leipzig, 04103, Germany.
  • James ARM; Institute for Computer Science, Martin Luther University Halle-Wittenberg, Halle, 06099, Germany.
  • Kraft NJB; Department of Ecology, State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, 510275, Guangzhou, Guangdong, China.
  • May F; German Centre for Integrative Biodiversity Research (iDiv), Deutscher Platz 5e, Leipzig, 04103, Germany.
  • Muthukrishnan R; Helmholtz Center for Environmental Research-UFZ, Permoserstrasse 15, 04318, Leipzig, Germany.
  • Satterlee S; Institute of Biology, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108, Halle (Saale), Germany.
  • Taubert F; German Centre for Integrative Biodiversity Research (iDiv), Deutscher Platz 5e, Leipzig, 04103, Germany.
  • Wang X; Helmholtz Center for Environmental Research-UFZ, Permoserstrasse 15, 04318, Leipzig, Germany.
  • Wiegand T; Institute of Environmental Research Systems, University of Osnabrück, P.O. Box 44 69,49069, Osnabrück, Germany.
  • Yang Q; Department of Biology, University of Washington, Box 351800, Seattle, WA, 98195, USA.
  • Abbott KC; Department of Ecology and Evolutionary Biology, Cornell University, E145 Corson Hall, Ithaca, New York, 14853, USA.
Ecology ; 101(2): e02922, 2020 02.
Article em En | MEDLINE | ID: mdl-31652337
ABSTRACT
Stochasticity is a core component of ecology, as it underlies key processes that structure and create variability in nature. Despite its fundamental importance in ecological systems, the concept is often treated as synonymous with unpredictability in community ecology, and studies tend to focus on single forms of stochasticity rather than taking a more holistic view. This has led to multiple narratives for how stochasticity mediates community dynamics. Here, we present a framework that describes how different forms of stochasticity (notably demographic and environmental stochasticity) combine to provide underlying and predictable structure in diverse communities. This framework builds on the deep ecological understanding of stochastic processes acting at individual and population levels and in modules of a few interacting species. We support our framework with a mathematical model that we use to synthesize key literature, demonstrating that stochasticity is more than simple uncertainty. Rather, stochasticity has profound and predictable effects on community dynamics that are critical for understanding how diversity is maintained. We propose next steps that ecologists might use to explore the role of stochasticity for structuring communities in theoretical and empirical systems, and thereby enhance our understanding of community dynamics.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Modelos Teóricos Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Modelos Teóricos Idioma: En Ano de publicação: 2020 Tipo de documento: Article