EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/26/2021 | 8:30 AM - 10:30 AM | META-ANALYSIS OF FRESHWATER FISH COMMUNITY STRUCTURE USING CO-OCCURRENCE NULL MODELS: PATTERNS ACROSS HABITATS, CLIMATES, AND SPATIAL SCALES | Virtual Platform
META-ANALYSIS OF FRESHWATER FISH COMMUNITY STRUCTURE USING CO-OCCURRENCE NULL MODELS: PATTERNS ACROSS HABITATS, CLIMATES, AND SPATIAL SCALES
Numerous processes – particularly environmental filtering and predation – are important drivers of fish community assembly. Interestingly, a meta-analysis of species co-occurrence patterns (Gotelli and McCabe 2000) showed that fish were more randomly structured than other vertebrates, suggesting assembly rules may negligibly affect fish co-occurrence patterns. However, the sample size for fish communities in that study was relatively small, therefore it is unclear whether fish are indeed more randomly structured than other vertebrates. We conducted a meta-analysis of studies that used null models of species co-occurrence in freshwater fish to reassess the findings of Gotelli and McCabe and to understand how patterns of community structure vary across habitats, climates, and spatial scales. We found that freshwater fish communities show similar amounts of community structure as other vertebrate groups when comparing the standardized effect sizes of null model analyses. Furthermore, the strength of community structuring varies across habitat types and climates: communities in lotic habitats and temperate climates are more structured than communities in lentic habitats and tropical climates. Our results highlight the contingent nature of community assembly by showing how different processes are important in structuring communities across the globe.
- Species interactions
- Climate variability
- Vertebrates
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Presenters/Authors
Trevor Williams
(), Brigham Young University, trevorjwilli@byu.edu;
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Xingli Giam
(), University of Tennessee, xgiam@utk.edu;
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Julian Olden
(), University of Washington, olden@uw.edu;
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Jerald Johnson
(), Brigham Young University, jerry.johnson@byu.edu;
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