EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/23/2019 | 9:00 AM - 9:15 AM | USING MODELING AND TRAIT DATA TO UNDERSTAND METACOMMUNITY CONNECTIVITY | 151 G
USING MODELING AND TRAIT DATA TO UNDERSTAND METACOMMUNITY CONNECTIVITY
Dispersal is one of the major factors influencing metacommunity dynamics. In rivers, dispersal can be accomplished via different modes: benthic crawling , swimming/drifting, and aerial movement. Each of these dispersal modes potentially interacts with watershed features in different ways. We analyze a full life-cycle model of an aquatic organism to explore how dispersal traits, watershed geometry, and the surrounding terrestrial landscape interact to influence connectivity among local communities. Simulation-based approach allows our model to represent complex life-cycles and behavioral responses to environmental features such as elevation and land cover. Using data from benthic macroinvertebrates in California, we establish patterns of trait syndromes and parameterize the model for each of these. We found that highly resolved California taxa could be grouped into a set of nine clusters based on shared traits. Models parameterized for these clusters exhibited different responses to watershed geometry and had different sensitivities of these responses to complex movement behavior. Additional analyses allow us to simplify model outputs to estimate “dispersal kernels” that can be used as inputs for highly speciose metacommunity models, linking individual-level dispersal responses to metacommunity outcomes.
- Dispersal
- Biodiversity
- Modeling
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Presenters/Authors
Kurt Anderson
(), University of California, Riverside, kurt.anderson@ucr.edu;
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Ryan Conway
(), University of California, Riverside, rconw002@ucr.edu;
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Francesco Pancaldi
(), University of California, Riverside, francesp@ucr.edu;
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Daniel Collister
(), University of California, Riverside, dcoll010@ucr.edu;
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