113
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Matrix condition mediates the effects of habitat fragmentation on species extinction risk

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Habitat loss is the leading cause of the global decline in biodiversity, but the influence of human pressure within the matrix surrounding habitat fragments remains poorly understood. Here, we measure the relationship between fragmentation (the degree of fragmentation and the degree of patch isolation), matrix condition (measured as the extent of high human footprint levels), and the change in extinction risk of 4,426 terrestrial mammals. We find that the degree of fragmentation is strongly associated with changes in extinction risk, with higher predictive importance than life-history traits and human pressure variables. Importantly, we discover that fragmentation and the matrix condition are stronger predictors of risk than habitat loss and habitat amount. Moreover, the importance of fragmentation increases with an increasing deterioration of the matrix condition. These findings suggest that restoration of the habitat matrix may be an important conservation action for mitigating the negative effects of fragmentation on biodiversity.

          Abstract

          The influence of human pressure within the matrix surrounding habitat fragments remains poorly understood. This study measures the relationship between habitat fragmentation, matrix condition and the change in extinction risk of 4,426 terrestrial mammals, finding that fragmentation and matrix condition are stronger predictors of risk than habitat loss and habitat amount.

          Related collections

          Most cited references101

          • Record: found
          • Abstract: not found
          • Article: not found

          Random Forests

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Building Predictive Models inRUsing thecaretPackage

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)

                Bookmark

                Author and article information

                Contributors
                delgado@unbc.ca
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                1 February 2022
                1 February 2022
                2022
                : 13
                : 595
                Affiliations
                [1 ]GRID grid.266876.b, ISNI 0000 0001 2156 9982, Natural Resources and Environmental Studies Institute, , University of Northern British Columbia, ; Prince George, V2N 4Z9 Canada
                [2 ]GRID grid.7841.a, Department of Biology and Biotechnologies, , Sapienza University of Rome, ; 00185 Rome, Italy
                [3 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, School of Earth and Environmental Sciences, , University of Queensland, ; St Lucia, 4072 Australia
                [4 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, Centre for Biodiversity and Conservation Science, School of Biological Sciences, , The University of Queensland, ; Brisbane, 4072 QLD Australia
                [5 ]GRID grid.7841.a, Global Mammal Assessment Program, Department of Biology and Biotechnologies, , Sapienza University of Rome, ; Rome, 00185 Italy
                Author information
                http://orcid.org/0000-0003-2673-0741
                http://orcid.org/0000-0003-4942-1984
                http://orcid.org/0000-0002-6617-018X
                Article
                28270
                10.1038/s41467-022-28270-3
                8807630
                35105881
                2907cad9-77ba-45d5-845a-83fe67b3d6c8
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 April 2021
                : 18 January 2022
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                biodiversity,biogeography,ecological modelling
                Uncategorized
                biodiversity, biogeography, ecological modelling

                Comments

                Comment on this article