2023 Early Hearing Detection & Intervention Conference
March 5-7, 2023 • Cincinnati, OH
5/25/2021 | 2:00 PM - 3:30 PM | ASSESSING GENERALITY IN RESPONSES TO ENVIRONMENT BY AQUATIC INSECTS SHARING SINGLE FUNCTIONAL TRAITS, LIFE HISTORY STRATEGY, AND PHYLOGENETIC RELATEDNESS | Virtual Platform
ASSESSING GENERALITY IN RESPONSES TO ENVIRONMENT BY AQUATIC INSECTS SHARING SINGLE FUNCTIONAL TRAITS, LIFE HISTORY STRATEGY, AND PHYLOGENETIC RELATEDNESS
Pairing functional traits of species to environmental conditions have been proposed as a more mechanistic alternative to describing how species assemble in communities, however, the focus on single trait-environment relationships often leads to confounding interactions with the covarying traits of species. Using a large dataset of aquatic macroinvertebrate abundances across 5 ecoregions in California, we test whether groupings of species by single-traits, shared phylogenetic order, or shared life history strategies are best able to predict taxa abundances across environmentally dissimilar ecoregions. We used hierarchical clustering to assign “trait profile groups” to taxa and used local and catchment-scale environmental data to build boosted regression tree models fitting i) single-trait, ii) taxonomic order and iii) trait profile groupings responses to variation within each of the 5 ecoregions. These models were then used to predict abundances of each taxa group in the other 4 ecoregions. Overall, models formed for taxonomic order had relatively better predictive power in environmentally similar regions, while this switched in dissimilar regions where trait profile groups had greater predictive power. This relationship should be explored further using existing trait databases and across taxonomic groups to improve generalizable species-environment relationships.
- Big data
- Data science
- Stressor
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Presenters/Authors
Ryan Conway
(), University of California, Riverside, rconw002@ucr.edu;
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Kurt Anderson
(), University of California, Riverside, kurt.anderson@ucr.edu;
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Eric Sokol
(), Battelle, National Ecological Observatory Network (NEON), sokole@gmail.com;
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