2023 Early Hearing Detection & Intervention Conference
March 5-7, 2023 • Cincinnati, OH
6/06/2017 | 9:45 AM - 10:00 AM | EFLOWSIM: A SIMULATION FRAMEWORK TO ASSESS SAMPLING DESIGNS AND ANALYTICAL APPROACHES FOR DETECTING FLOW-ECOLOGY RELATIONSHIPS | 302C
EFLOWSIM: A SIMULATION FRAMEWORK TO ASSESS SAMPLING DESIGNS AND ANALYTICAL APPROACHES FOR DETECTING FLOW-ECOLOGY RELATIONSHIPS
Identifying ecological responses to stream hydrology has become an urgent research priority in the face of mounting pressures on water resources, but it is unclear how sampling design and analytical methods influence our ability to detect flow-ecology relationships in different conditions. Using the statistical framework of spatio-temporal population viability analysis, we have developed a simulation tool that can 1) simulate population time series with user-defined flow effects on population growth rates and carrying capacities and 2) simulate removal sampling data based on user-defined sampling designs. The simulated data can be used to assess our ability to recover known parameters with different sampling designs and analytical approaches. To mimic real-world scenarios, the simulation framework allows significant customization of parameters: flow effects, demographic stochasticity, spatial clumping, per-pass detection rates, number of years of sampling, number of sites sampled per year and their sizes, number of passes conducted, etc. We will walk through the simulation process and present assessments of a few common sampling designs in their abilities to estimate true site abundances, flow effects on population processes, and population trends.
- C14 Hydroecology
- C15 Population Ecology
- S31 Moving forward in flow ecology: identifying and testing key hypotheses & C17 Bioassessment
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Presenters/Authors
Doug Leasure
(), University of Georgia, doug.leasure@gmail.com;
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Seth Wenger
(), University of Georgia, sethwenger@fastmail.fm;
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Mary Freeman
(), US Geological Survey, mcfreeman@usgs.gov;
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