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Using alpha, beta, and zeta diversity in describing the health of stream‐based benthic macroinvertebrate communities
AbstractEcological monitoring of streams has frequently focused on measures describing the taxonomic, and sometimes functional, α diversity of benthic macroinvertebrates (BMIs) within a single sampled community. However, as many ecological processes effectively linkBMIstream communities there is a need to describe groups of communities using measures of regional diversity. Here we demonstrate a role for incorporating both a traditional pairwise measure of community turnover, β diversity, in assessing community health as well as ζ diversity, a more generalized framework for describing similarity between multiple communities. Using 4,395 samples ofBMIstream communities in California, we constructed a model using measures of α, β, and ζ diversity, which accounted for 71.7% of among‐watershed variation in the mean health of communities, as described by the California Streams Condition Index (CSCI). We also investigated the use of ζ diversity in assessing models of stochastic vs. niche assembly across communities ofBMIs within watersheds, with the niche assembly model found to be the likelier of the two.
Using alpha, beta, and zeta diversity in describing the health of stream‐based benthic macroinvertebrate communities
AbstractEcological monitoring of streams has frequently focused on measures describing the taxonomic, and sometimes functional, α diversity of benthic macroinvertebrates (BMIs) within a single sampled community. However, as many ecological processes effectively linkBMIstream communities there is a need to describe groups of communities using measures of regional diversity. Here we demonstrate a role for incorporating both a traditional pairwise measure of community turnover, β diversity, in assessing community health as well as ζ diversity, a more generalized framework for describing similarity between multiple communities. Using 4,395 samples ofBMIstream communities in California, we constructed a model using measures of α, β, and ζ diversity, which accounted for 71.7% of among‐watershed variation in the mean health of communities, as described by the California Streams Condition Index (CSCI). We also investigated the use of ζ diversity in assessing models of stochastic vs. niche assembly across communities ofBMIs within watersheds, with the niche assembly model found to be the likelier of the two.
Using alpha, beta, and zeta diversity in describing the health of stream‐based benthic macroinvertebrate communities
Ecological Applications
Simons, Ariel Levi (Autor:in) / Mazor, Raphael (Autor:in) / Stein, Eric D. (Autor:in) / Nuzhdin, Sergey (Autor:in)
01.06.2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Correlation between River Substrate Heterogeneity and Benthic Macroinvertebrate Diversity
British Library Conference Proceedings | 2013
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