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 | 9:30 AM - 9:45 AM | SIMULATIONS SHOW METACOMMUNITY, STREAM NETWORK, AND DISTURBANCE CHARACTERISTICS INTERACT TO MAINTAIN BIODIVERSITY, AND HAVE CONSEQUENCES FOR REGIONAL STABILITY | 151 G
SIMULATIONS SHOW METACOMMUNITY, STREAM NETWORK, AND DISTURBANCE CHARACTERISTICS INTERACT TO MAINTAIN BIODIVERSITY, AND HAVE CONSEQUENCES FOR REGIONAL STABILITY
A major goal in ecology is to link community stability to spatial processes in variable environments. Previously, we used numerical models to test how different metacommunity dynamics could maintain benthic macroinvertebrate biodiversity in a watershed modeled after data collected as part of a biomonitoring program in California (SWAMP). We found equilibrium metacommunity dynamics could not maintain the observed levels of biodiversity at both local and regional scales. Thus, we adapted our metacommunity simulation (MCSim package for R (https://github.com/sokole/MCSim) to impose different disturbance regimes over metacommunities in dendritic networks. Here we present results from numerical models comparing temporal variability in community composition at local and regional scales across scenarios in which we varied disturbance (mass local mortality) frequency, network structure (branching probability), and metacommunity characteristics (dispersal and environmental filter strength). We found previously observed biodiversity patterns could be maintained by the opposing forces of local environmental filters favoring the recruitment of resident taxa, interrupted by recurring disturbance events favoring the recruitment of non-resident colonists, and disturbance most strongly affected mid-order reaches. However, altering network structure or metacommunity characteristics changed where in the stream network the largest effect of disturbance was observed.
- Disturbance
- Modeling
- Dispersal
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Presenters/Authors
Eric Sokol
(), Battelle, National Ecological Observatory Network (NEON), sokole@gmail.com;
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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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Christopher Swan
(), University of Maryland Baltimore County, cmswan@umbc.edu;
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Bryan Brown
(), Virginia Tech, stonefly@vt.edu;
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