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

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 comp...

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Autores principales: Huttunen, K.-L., Mykrä, H., Oksanen, J., Astorga, A., Paavola, R., Muotka, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431217/
https://www.ncbi.nlm.nih.gov/pubmed/28469187
http://dx.doi.org/10.1038/s41598-017-00550-9
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author Huttunen, K.-L.
Mykrä, H.
Oksanen, J.
Astorga, A.
Paavola, R.
Muotka, T.
author_facet Huttunen, K.-L.
Mykrä, H.
Oksanen, J.
Astorga, A.
Paavola, R.
Muotka, T.
author_sort Huttunen, K.-L.
collection PubMed
description 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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spelling pubmed-54312172017-05-16 Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities Huttunen, K.-L. Mykrä, H. Oksanen, J. Astorga, A. Paavola, R. Muotka, T. Sci Rep Article 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. Nature Publishing Group UK 2017-05-03 /pmc/articles/PMC5431217/ /pubmed/28469187 http://dx.doi.org/10.1038/s41598-017-00550-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Huttunen, K.-L.
Mykrä, H.
Oksanen, J.
Astorga, A.
Paavola, R.
Muotka, T.
Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities
title Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities
title_full Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities
title_fullStr Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities
title_full_unstemmed Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities
title_short Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities
title_sort habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431217/
https://www.ncbi.nlm.nih.gov/pubmed/28469187
http://dx.doi.org/10.1038/s41598-017-00550-9
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