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      Effectiveness of corridors varies among phytosociological plant groups and dispersal syndromes

      research-article
      1 , 2 , * , 3 , 4 , 5
      PLoS ONE
      Public Library of Science

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          Abstract

          In agricultural landscapes, semi-natural habitats are scarce and remaining habitat patches are largely isolated. However, linear landscape elements might facilitate dispersal of plant species through the agricultural landscape matrix. We investigated the following research questions: 1. are open linear landscape elements (LLE) effective corridors for dispersal of vascular plant species? 2. Which plant species, with respect to phytosociological group and dispersal-distance class, do use LLE as corridors? 3. To which extent is floristic similarity of communities influenced by dispersal through corridors? Field work was carried out in agricultural landscapes of Northwest Germany. We sampled 50 vegetation relevés on open linear landscape elements i.e. field margins (incl. road verges) and ditches, in eight 1-km 2 study areas. Then, we calculated Jaccard similarities of all plot pairs within study areas using either all species or only species of certain phytosociological groups or dispersal-distance classes. We assessed the isolation of the plots from each other using both Euclidean distance and resistance distance along LLE. Resistance distance reflected the degree of connectivity of the LLE network between the plots. A stronger effect on Jaccard similarity of resistance distance compared to Euclidean distance would indicate corridor dispersal of plants through LLE. Relationships between Jaccard similarity and the two isolation measures were analysed with Generalised Linear Mixed Models. Resistance distance of LLE had a stronger negative effect on Jaccard similarity than Euclidean distance in field margins, but not in ditches. This was found for species of ‘meadows and pastures’ and short to medium dispersal distance. In plot pairs that were highly connected by LLE, the models suggested that roughly 20% of all species occurred in both plots due to dispersal through LLE. Other species groups did not respond more strongly to resistance distance than to Euclidean distance. We conclude that linear landscape elements in agricultural landscapes are effective corridors for dispersal of plant species that are confined to semi-natural habitats, such as traditional grasslands, and lack mechanisms of long-distance dispersal.

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          Most cited references34

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          The application of ‘least-cost’ modelling as a functional landscape model

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            Persistent negative effects of pesticides on biodiversity and biological control potential on European farmland

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              Isolation by resistance.

              Brad McRae (2006)
              Despite growing interest in the effects of landscape heterogeneity on genetic structuring, few tools are available to incorporate data on landscape composition into population genetic studies. Analyses of isolation by distance have typically either assumed spatial homogeneity for convenience or applied theoretically unjustified distance metrics to compensate for heterogeneity. Here I propose the isolation-by-resistance (IBR) model as an alternative for predicting equilibrium genetic structuring in complex landscapes. The model predicts a positive relationship between genetic differentiation and the resistance distance, a distance metric that exploits precise relationships between random walk times and effective resistances in electronic networks. As a predictor of genetic differentiation, the resistance distance is both more theoretically justified and more robust to spatial heterogeneity than Euclidean or least cost path-based distance measures. Moreover, the metric can be applied with a wide range of data inputs, including coarse-scale range maps, simple maps of habitat and nonhabitat within a species' range, or complex spatial datasets with habitats and barriers of differing qualities. The IBR model thus provides a flexible and efficient tool to account for habitat heterogeneity in studies of isolation by distance, improve understanding of how landscape characteristics affect genetic structuring, and predict genetic and evolutionary consequences of landscape change.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 July 2018
                2018
                : 13
                : 7
                : e0199980
                Affiliations
                [1 ] Institute of Landscape Ecology, University of Münster, Münster, Germany
                [2 ] Thünen Institute of Biodiversity, Braunschweig, Germany
                [3 ] Institute for Environmental Science, University of Koblenz-Landau, Landau, Germany
                [4 ] Department of Ecology, Technische Universität Berlin, Berlin, Germany
                [5 ] Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
                Charles University, CZECH REPUBLIC
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-5649-6397
                Article
                PONE-D-17-40805
                10.1371/journal.pone.0199980
                6040708
                29995916
                9d52b1b0-0b08-4b69-8767-6ee7242e4504
                © 2018 Thiele et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 November 2017
                : 11 May 2018
                Page count
                Figures: 3, Tables: 2, Pages: 16
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Ecology
                Plant Ecology
                Plant Communities
                Grasslands
                Ecology and Environmental Sciences
                Ecology
                Plant Ecology
                Plant Communities
                Grasslands
                Biology and Life Sciences
                Plant Science
                Plant Ecology
                Plant Communities
                Grasslands
                Ecology and Environmental Sciences
                Terrestrial Environments
                Grasslands
                Biology and Life Sciences
                Plant Science
                Phytosociology
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Biology and Life Sciences
                Ecology
                Plant Ecology
                Plant Communities
                Ecology and Environmental Sciences
                Ecology
                Plant Ecology
                Plant Communities
                Biology and Life Sciences
                Plant Science
                Plant Ecology
                Plant Communities
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Vascular Plants
                Biology and Life Sciences
                Ecology
                Community Ecology
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Ecology and Environmental Sciences
                Habitats
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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                Uncategorized

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