EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/20/2019 | 11:15 AM - 11:30 AM | STREAM CO-OCCURRENCE NETWORKS VARY IN COMPLEXITY AND STRUCTURE ALONG LATITUDINAL GRADIENTS | 251 DE
STREAM CO-OCCURRENCE NETWORKS VARY IN COMPLEXITY AND STRUCTURE ALONG LATITUDINAL GRADIENTS
The Stress Gradient Hypothesis (SGH) predicts that communities have more negative interactions (e.g., competition) in benign environments, but more positive interactions (e.g., facilitation) in unfavorable conditions. Latitude represents a gradient of climate stress, allowing us to study the SGH at large scales. and The Dobzhansky-MacArthur Hypothesis (DMH) postulates that communities at high latitudes are governed by climate stress, whereas at low latitudes, they are controlled by competition. We tested these predictions for stream fish from the eastern US with a novel approach based on co-occurrence networks. We examined network topology, including number of positive and negative species interactions after controlling for environmental autocorrelation, dispersal and large-scale abiotic influences Contrary to SGH, we found that mid latitudes, but not low latitudes, contain the highest number of negative interactions, while low latitudes, but not high latitudes had the most positive interactions. Contrary to DMH, mid latitudes, but not low latitudes exhibited the most interactions. Our results indicate that species interactions in stream ecosystems have a more complex environmental underpinning and factors other than climate may have an important role in maintaining community structure.
- Spatial
- Modeling
- Connectivity
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Presenters/Authors
Joseph Mruzek
(), University of Texas at Arlington, joseph.mruzek@mavs.uta.edu;
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William Budnick
(), University of Texas - Arlington, william.budnick@mavs.uta.edu;
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Chad Larson
(), Washington State Department of Ecology, clar461@ecy.wa.gov;
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Sophia Passy
(), University of Texas - Arlington, sophia.passy@uta.edu;
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