Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities

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作者
K.-L. Huttunen
H. Mykrä
J. Oksanen
A. Astorga
R. Paavola
T. Muotka
机构
[1] University of Oulu,Department of Ecology & Genetics
[2] Finnish Environment Institute,Freshwater Centre
[3] Av. Almirante Simpson 471,Centro de Investigación en Ecosistemas de la Patagonia
[4] Facultad de Ciencias Universidad de Chile,Institute of Ecology and Biodiversity
[5] Las Palmeras 3425 Ñuñoa - Casilla 653,Oulanka Research Station
[6] University of Oulu Infrastructure Platform,Natural Environment Centre
[7] Finnish Environment Institute,undefined
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One of the key challenges to understanding patterns of β diversity is to disentangle deterministic patterns from stochastic ones. Stochastic processes may mask the influence of deterministic factors on community dynamics, hindering identification of the mechanisms causing variation in community composition. We studied temporal β diversity (among-year dissimilarity) of macroinvertebrate communities in near-pristine boreal streams across 14 years. To assess whether the observed β diversity deviates from that expected by chance, and to identify processes (deterministic vs. stochastic) through which different explanatory factors affect community variability, we used a null model approach. We observed that at the majority of sites temporal β diversity was low indicating high community stability. When stochastic variation was unaccounted for, connectivity was the only variable explaining temporal β diversity, with weakly connected sites exhibiting higher community variability through time. After accounting for stochastic effects, connectivity lost importance, suggesting that it was related to temporal β diversity via random colonization processes. Instead, β diversity was best explained by in-stream vegetation, community variability decreasing with increasing bryophyte cover. These results highlight the potential of stochastic factors to dampen the influence of deterministic processes, affecting our ability to understand and predict changes in biological communities through time.
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