Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1002/ecy.3233
Lizenz creative commons licence
Titel (primär) A multiscale framework for disentangling the roles of evenness, density, and aggregation on diversity gradients
Autor McGlinn, D.J.; Engel, T.; Blowes, S.A.; Gotelli, N.J.; Knight, T.M.; McGill, B.J.; Sanders, N.; Chase, J.M.
Quelle Ecology
Erscheinungsjahr 2021
Department BZF; iDiv
Band/Volume 102
Heft 2
Seite von e03233
Sprache englisch
Topic T5 Future Landscapes
Keywords scaling; species‐abundance distribution; more‐individuals hypothesis; patchiness; beta diversity; biodiversity change
Abstract Disentangling the drivers of diversity gradients can be challenging. The Measurement of Biodiversity (MoB) framework decomposes scale‐dependent 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 a mixed deciduous forest of the Great Smoky Mountains National Park, USA. MoB analysis revealed that decreases in ant species richness along the elevational gradient were associated with decreasing evenness and total number of species which counteracted the modest increase in richness associated with decreasing spatial aggregation along the gradient. Total community abundance had a negligible effect on richness at all but the finest spatial grains, SAD effects increased in importance with sampling effort, while the aggregation effect had the strongest effect at coarser spatial grains. These results do not support the more‐individuals hypothesis, but they are consistent with a hypothesis of stronger environmental filtering at coarser spatial grains. Our extension of MoB has the potential to elucidate how components of community structure contribute to changes in diversity along environmental gradients and should be useful for a variety of assemblage‐level data collected along gradients.
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McGlinn, D.J., Engel, T., Blowes, S.A., Gotelli, N.J., Knight, T.M., McGill, B.J., Sanders, N., Chase, J.M. (2021):
A multiscale framework for disentangling the roles of evenness, density, and aggregation on diversity gradients
Ecology 102 (2), e03233 10.1002/ecy.3233