EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/21/2018 | 11:15 AM - 11:30 AM | USING METACOMMUNITY SIMULATIONS TO UNDERSTAND HOW STREAM NETWORK CHARACTERISTICS CAN AFFECT MACROINVERTEBRATE COMMUNITY STABILITY AT LOCAL AND REGIONAL SCALES | 310 B
USING METACOMMUNITY SIMULATIONS TO UNDERSTAND HOW STREAM NETWORK CHARACTERISTICS CAN AFFECT MACROINVERTEBRATE COMMUNITY STABILITY AT LOCAL AND REGIONAL SCALES
Empirical investigations of stream macroinvertebrate community stability have generally focused on the reach scale, and demonstrated that a site’s location within a dendritic network can influence both the biodiversity and stability of its resident assemblage. However, the underpinning of contemporary metacommunity theory is that regional-scale processes set the context for local community assembly. Current theory suggests that (a) asynchronous spatial fluctuations should lead to enhanced local and regional stability and (b) intermediate levels of dispersal connectivity are most likely to exhibit asynchronous dynamics. Here, we used a metacommunity simulation package for R (MCSim) to create numerical models representing stream macroinvertebrate communities with different dispersal rates in a variety of stream network configurations. Simulation outcomes suggest both position in the network and dispersal rate affect stability of the local community in stream networks with low branch frequency. In low-branch-frequency networks, dispersal limited metacommunities exhibit higher stability at main-stem sites, whereas metacommunities with high immigration rates show increased stability at headwater sites. However, these dynamics are not observed in high-branch-frequency networks. Overall, these results suggest the dynamics that influence both local and catchment-wide stability can be influenced by network topology.
- Biodiversity
- Invertebrate
- Modeling
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Presenters/Authors
Eric Sokol
(), Battelle, National Ecological Observatory Network (NEON), sokole@gmail.com;
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Kurt Anderson
(), University of California, Riverside, kurt.anderson@ucr.edu;
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Bryan Brown
(), Virginia Tech, stonefly@vt.edu;
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Christopher Swan
(), University of Maryland Baltimore County, cmswan@umbc.edu;
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