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A multiscale framework for disentangling the roles of evenness, density and aggregation on diversity gradients

View ORCID ProfileDaniel J. McGlinn, View ORCID ProfileThore Engel, View ORCID ProfileShane A. Blowes, View ORCID ProfileNicholas J. Gotelli, View ORCID ProfileTiffany M. Knight, View ORCID ProfileBrian J. McGill, View ORCID ProfileNathan Sanders, View ORCID ProfileJonathan M. Chase
doi: https://doi.org/10.1101/851717
Daniel J. McGlinn
1Department of Biology, College of Charleston, Charleston, South Carolina
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  • For correspondence: danmcglinn@gmail.com
Thore Engel
2German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany
3Department of Computer Science, Martin Luther University, Halle (Saale), Germany
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Shane A. Blowes
2German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany
3Department of Computer Science, Martin Luther University, Halle (Saale), Germany
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Nicholas J. Gotelli
4Department of Biology, University of Vermont, Burlington, Vermont
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Tiffany M. Knight
2German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany
5Institute of Biology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
6Department of Community Ecology, Helmholtz Centre for Environmental Research – UFZ, Halle (Saale)
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Brian J. McGill
7School of Biology and Ecology, and Senator George J. Mitchell Center of Sustainability Solutions, University of Maine, Orono, Maine
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Nathan Sanders
8Environmental Program, Rubenstein School of Environment and Natural Resources. University of Vermont, Burlington, Vermont
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Jonathan M. Chase
2German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany
3Department of Computer Science, Martin Luther University, Halle (Saale), Germany
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Abstract

Disentangling the drivers of diversity gradients can be challenging. The Measurement of Biodiversity (MoB) framework decomposes changes in species diversity into three components of community structure: the species abundance distribution (SAD), the total community abundance, and the within-species spatial aggregation. Here we extend MoB from categorical treatment comparisons to quantify variation along continuous geographic or environmental gradients. Our approach requires sites along a gradient, each consisting of georeferenced plots of abundance-based species composition data. We demonstrate our method using a case study of ants sampled along an elevational gradient of 28 sites in mixed deciduous forest of the Great Smoky Mountains National Park, USA. MoB analysis revealed that ant species richness decreased along the elevational gradient because of changes in the SAD and in spatial aggregation, but not because of changes in the number of individuals. Specifically, with increasing elevation, species evenness was lower and species were less aggregated. These results do not support the more-individuals hypothesis; alternative hypotheses are required to explain why evenness and aggregation decrease with elevation. Our extension of MoB has the potential to elucidate the drivers of diversity along environmental gradients and should be useful for a variety of assemblage-level data collected along gradients.

Footnotes

  • https://github.com/MoBiodiv/elev_gradient

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted November 22, 2019.
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A multiscale framework for disentangling the roles of evenness, density and aggregation on diversity gradients
Daniel J. McGlinn, Thore Engel, Shane A. Blowes, Nicholas J. Gotelli, Tiffany M. Knight, Brian J. McGill, Nathan Sanders, Jonathan M. Chase
bioRxiv 851717; doi: https://doi.org/10.1101/851717
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A multiscale framework for disentangling the roles of evenness, density and aggregation on diversity gradients
Daniel J. McGlinn, Thore Engel, Shane A. Blowes, Nicholas J. Gotelli, Tiffany M. Knight, Brian J. McGill, Nathan Sanders, Jonathan M. Chase
bioRxiv 851717; doi: https://doi.org/10.1101/851717

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