EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/21/2019 | 11:30 AM - 11:45 AM | UNDERSTANDING THE ELEMENTS OF METACOMMUNITY STRUCTURE IN STREAM FISH COMMUNITIES OF THE EASTERN UNITED STATES | 250 CF
UNDERSTANDING THE ELEMENTS OF METACOMMUNITY STRUCTURE IN STREAM FISH COMMUNITIES OF THE EASTERN UNITED STATES
Community ecologists have always been interested in how species assemble themselves within their given environment. Metacommunity ecology offers a strategy for disentangling the spatial and environmental components for species assemblages. We investigated 190 stream fish metacommunity assemblages in the Eastern United States using the elements of metacommunity structure approach in a quantitative and qualitative manner. Quantitatively, we used linear models to understand how different landscape level variables predict coherence, turnover, and boundary clumping. We used logistic regression to investigate whether landscape variables could predict metacommunity patterns. Qualitatively, we used spatial analyses to investigate areas in the Eastern US where certain metacommunity patterns were more prevalent and make inferences for those patterns. We observed seven metacommunity patterns with clementsian, quasi-clementsian, clumped species loss, and quasi-clumped species loss being the most common. Dams and distance between local communities significantly predicted coherence and turnover. Agriculture significantly predicted boundary clumping, potentially adding further meaning to the pattern assigned to the metacommunity. An increase in elevation better predicted a clumped species loss pattern over clementsian. This research illustrates a new way to study fish metacommunities using the elements of metacommunity approach.
- Landscape
- Watershed
- Modeling
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Presenters/Authors
Lauren Stoczynski
(), Clemson University, lstoczy@clemson.edu;
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Brandon K. Peoples
(), Clemson University, peoples@clemson.edu;
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