EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
6/08/2017 | 12:15 PM - 12:30 PM | STREAM PRODUCTIVITY DRIVES SHARP REDUCTIONS IN TEMPORAL BETA DIVERSITY OF MACROINVERTEBRATE ASSEMBLAGES | 302B
STREAM PRODUCTIVITY DRIVES SHARP REDUCTIONS IN TEMPORAL BETA DIVERSITY OF MACROINVERTEBRATE ASSEMBLAGES
We examined benthic macroinvertebrate assemblages in 35 streams in Oklahoma and Arkansas, USA that spanned a steep gradient of nutrient enrichment to test the hypothesis that increases in productivity lead to more temporally homogenous communities. We collected quantitative benthic samples and measured physical and chemical variables from riffle habitats bimonthly for 2 yr. We computed both classical metrics and multivariate measures of temporal beta diversity (βt), coupled with a null model permutation procedure, to gain a degree of insight into the temporal assembly process. We utilized generalized linear modeling of βt within an iterative information-theoretic framework to examine the effect of productivity (measured as phosphorus enrichment and chlorophyll-a) and other contributing or confounding factors that influenced trends in βt. Model selection indicated that increases in both proxies of productivity drove declines in the patterns of seasonal succession of macroinvertebrate assemblages. Increases in total and snail biomass, as well as increased thermal variability, also corresponded to decreases and increases in βt, respectively. The manner in which the temporal partitioning of these communities declines has implications for both study design and biomonitoring.
- C18 Biodiversity
- C03 Invertebrates
- S24 Towards a predictive freshwater ecology: using time-series data to understand and forecast responses to a changing environment
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Presenters/Authors
Stephen C. Cook
(), University of Oklahoma, stephencook@ou.edu;
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Lauren Housley
(), Baylor University, Lauren_Housley@baylor.edu;
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Jeffrey A. Back
(), Baylor University, Jeff_Back@baylor.edu;
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Ryan S. King
(), Baylor University, Ryan_S_King@ Baylor.edu;
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