Revealing perturbation responses with limited observations of biological communities
Autor: | Cédric Bacher, Fred Jean, Jeffrey M. Dambacher, Nikolaos Alexandridis |
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Přispěvatelé: | Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Interdisciplinary Graduate School for the Blue planet, ANR-17-EURE-0015,ISBlue,Interdisciplinary Graduate School for the Blue planet(2017), Lund University [Lund], Laboratoire d'Ecologie Benthique Côtière (LEBCO), Dynamiques des Écosystèmes Côtiers (DYNECO), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), CSIRO Marine and Atmosphere Research [Hobart], Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO) |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0106 biological sciences
Biological traits Ecology (disciplines) [SDV]Life Sciences [q-bio] Biotic interactions General Decision Sciences 010501 environmental sciences 010603 evolutionary biology 01 natural sciences Empirical research Benthos Ecological perturbation 14. Life underwater Spatial analysis Ecology Evolution Behavior and Systematics QH540-549.5 0105 earth and related environmental sciences Ecology business.industry Environmental resource management Community structure Variable (computer science) Environmental variability Geography Benthic zone [SDE]Environmental Sciences Spatial ecology business Qualitative modelling |
Zdroj: | Ecological Indicators Ecological Indicators, Elsevier, 2021, 128, pp.107840. ⟨10.1016/j.ecolind.2021.107840⟩ Ecological Indicators, 2021, 128, pp.107840. ⟨10.1016/j.ecolind.2021.107840⟩ Ecological Indicators, Vol 128, Iss, Pp 107840-(2021) Ecological Indicators (1470-160X) (Elsevier BV), 2021-09, Vol. 128, P. 107840 (9p.) |
ISSN: | 1470-160X |
DOI: | 10.1016/j.ecolind.2021.107840⟩ |
Popis: | International audience; Restrictions in empirical research of biological communities have limited our understanding of the combined influence of environmental variability and system structure on community composition. Spatial patterns of community composition in less accessible systems, such as marine benthos, can often not be explained by many factors beyond the direct impact of the environment on community members. We present a method that combines commonly collected data of community composition with analyses of qualitative mathematical models, to assess not only direct impacts of environmental variability, but also the propagation of impacts through complex interaction networks. Transformed spatial data of community composition describe the community members’ observed similarity of response to an external input. The output of qualitative mathematical models describes the community members’ predicted similarity of response to input entering the system through any of its variables. A statistically significant agreement between the observed and any of the predicted response similarities indicates the respective system variable as a likely gateway for environmental variability into the system. The method is applied to benthic macroinvertebrate communities in the Rance estuary (Brittany, France). Organisms identified as likely gateways have traits that agree with their predicted response to documented spatially and temporally structured environmental variability. We suggest use of this novel framework for more comprehensive identification of environmental drivers of community change, including gateway community members and cascades of environmentally driven change through community structure. |
Databáze: | OpenAIRE |
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