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• W3099595617 abstract "Despite evidence that seasonal variation may lead to the persistence of competing species, studies on the effect of seasonality on community network structures are sparse. Identifying whether seasonal network changes are the result of turnover or rewiring (i.e. rearrangement of interactions among species), also remains understudied in multi‐trophic communities. Using species abundance data for 38 species over three years (from nine sites across central/eastern United States) and a novel tree‐based inference method, we constructed seasonal networks for a multi‐trophic freshwater stream fish community. We found that seasonality influences species interactions, particularly through rewiring (81%) as compared to species turnover (19%). Moreover, the number of rewiring interactions was best explained by fish status as a piscivore/non‐piscivore and species maximum length (R 2 = 0.41). Our findings suggest that rewiring may be a dominant process in stream fish communities experiencing seasonal environments and that traits linked to trophic‐level could be a good indicator of a species contribution to rewiring. As networks dominated by rewiring may be more robust, this network approach could be a valuable conservation tool for identifying which biological relationships must be retained for communities to avoid extinction." @default.
• W3099595617 created "2020-11-23" @default.
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• W3099595617 date "2020-11-09" @default.
• W3099595617 modified "2023-10-01" @default.
• W3099595617 title "Inferred seasonal interaction rewiring of a freshwater stream fish network" @default.
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• W3099595617 doi "https://doi.org/10.1111/ecog.05452" @default.
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