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      The dimensionality of stability depends on disturbance type.

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          Abstract

          Ecosystems respond in various ways to disturbances. Quantifying ecological stability therefore requires inspecting multiple stability properties, such as resistance, recovery, persistence and invariability. Correlations among these properties can reduce the dimensionality of stability, simplifying the study of environmental effects on ecosystems. A key question is how the kind of disturbance affects these correlations. We here investigated the effect of three disturbance types (random, species-specific, local) applied at four intensity levels, on the dimensionality of stability at the population and community level. We used previously parameterized models that represent five natural communities, varying in species richness and the number of trophic levels. We found that disturbance type but not intensity affected the dimensionality of stability and only at the population level. The dimensionality of stability also varied greatly among species and communities. Therefore, studying stability cannot be simplified to using a single metric and multi-dimensional assessments are still to be recommended.

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          Author and article information

          Journal
          Ecol. Lett.
          Ecology letters
          Wiley
          1461-0248
          1461-023X
          Apr 2019
          : 22
          : 4
          Affiliations
          [1 ] Department of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research (IZW), Alfred-Kowalke-Straße 17, Berlin, Germany.
          [2 ] Institute of Life-Earth-Environment, Namur Institute of Complex Systems, Research Unit in Environmental and Evolutionary Biology, Université de Namur, Rue de Bruxelles 61, Namur, Belgium.
          [3 ] Ecosystem Modeling, Center for Computational and Theoretical Biology (CCTB), University of Würzburg, Emil-Fischer-Str. 32, Würzburg, Germany.
          [4 ] Section for Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Ny Munkegade 114, Aarhus, Denmark.
          [5 ] University Grenoble Alpes, Irstea, LESSEM, 38000 Grenoble, France.
          [6 ] Institute for Biochemistry and Biology, University of Potsdam, Maulbeerallee 2, Potsdam, Germany.
          [7 ] Department of Ecological Modelling, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, Leipzig, Germany.
          [8 ] Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Kreuzeckbahnstrasse 19, 82467, Garmisch-Partenkirchen, Germany.
          [9 ] Laboratory of Environmental Toxicology and Aquatic Ecology, Ghent University, Coupure Links 653, Ghent, Belgium.
          [10 ] Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Aarhus University, Ny Munkegade 114, Aarhus, Denmark.
          [11 ] Research Domain 1, "Earth System Analysis", Potsdam Institute for Climate Impact Research (PIK), Telegrafenberg A31, Potsdam, Germany.
          [12 ] Institute of Landscape and Plant Ecology, University of Hohenheim, August-von-Hartmann-Str. 3, Stuttgart, Germany.
          [13 ] German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, Leipzig, Germany.
          [14 ] Department of Ecology, Technische Universität Berlin, Rothenburgstrasse 12, 12165, Berlin.
          Article
          10.1111/ele.13226
          30734447
          b482bf2d-3b0a-45f7-b926-f61d918bd152
          History

          Community model,disturbance intensity,disturbance type,extinction,individual-based model,invariability,persistence,recovery,resistance

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