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Data from: Mapping the imprint of biotic interactions on β-diversity Ohlmann, Marc; Mazel, Florent; Chalmandrier, Loïc; Bec, Stéphane; Coissac, Eric; Gielly, Ludovic; Pansu, Johan; Schilling, Vincent; Taberlet, Pierre; Zinger, Lucie; et al.
Description
<b>Abstract</b><br/>Investigating how trophic interactions influence the β-diversity of meta-communities is of paramount importance to understanding the processes shaping biodiversity distribution. Here, we apply a statistical method for inferring the strength of spatial dependencies between pairs of species groups. Using simulated community data generated from a multi-trophic model, we showed that this method can approximate biotic interactions in multi-trophic communities based on β-diversity patterns across groups. When applied to soil multi-trophic communities along an elevational gradient in the French Alps, we found that fungi make a major contribution to the structuring of β-diversity across trophic groups. We also demonstrated that there were strong spatial dependencies between groups known to interact specifically (e.g. plant-symbiotic fungi, bacteria-nematodes) and that the influence of environment was less important than previously reported in the literature. Our method paves the way for a better understanding and mapping of multi-trophic communities through space and time.; <b>Usage notes</b><br /><div class="o-metadata__file-usage-entry"><h4 class="o-heading__level3-file-title">data_ohlmann_etal_2018</h4><div class="o-metadata__file-name"></div><div class="o-metadata__file-name"></div></div>
Item Metadata
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Data from: Mapping the imprint of biotic interactions on β-diversity
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Date Issued |
2021-05-19
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Description |
<b>Abstract</b><br/>Investigating how trophic interactions influence the β-diversity of meta-communities is of paramount importance to understanding the processes shaping biodiversity distribution. Here, we apply a statistical method for inferring the strength of spatial dependencies between pairs of species groups. Using simulated community data generated from a multi-trophic model, we showed that this method can approximate biotic interactions in multi-trophic communities based on β-diversity patterns across groups. When applied to soil multi-trophic communities along an elevational gradient in the French Alps, we found that fungi make a major contribution to the structuring of β-diversity across trophic groups. We also demonstrated that there were strong spatial dependencies between groups known to interact specifically (e.g. plant-symbiotic fungi, bacteria-nematodes) and that the influence of environment was less important than previously reported in the literature. Our method paves the way for a better understanding and mapping of multi-trophic communities through space and time.; <b>Usage notes</b><br /><div class="o-metadata__file-usage-entry"><h4 class="o-heading__level3-file-title">data_ohlmann_etal_2018</h4><div class="o-metadata__file-name"></div><div class="o-metadata__file-name"></div></div>
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Notes |
Dryad version number: 1</p> Version status: submitted</p> Dryad curation status: Published</p> Sharing link: https://datadryad.org/stash/share/LZn6Aod8i98OM7L_3HjzB6l_ODwXpT71xTlA-yM9yCc</p> Storage size: 440511</p> Visibility: public</p> |
Date Available |
2020-06-24
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Provider |
University of British Columbia Library
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License |
This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions: CC0 Waiver
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DOI |
10.14288/1.0397519
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Aggregated Source Repository |
Dataverse
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Item Citations and Data
Licence
This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions: CC0 Waiver