Data from: 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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Online Access: | https://doi.org/10.5061/dryad.vt68r |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::6f9f4ad081fa8be2d45dbbf25ebbfc1a 2023-05-15T17:42:25+02:00 Data from: Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities Huttunen, Kaisa - Leena Mykrä, Heikki Oksanen, Jari Astorga, Anna Paavola, Riku Muotka, Timo 2018-04-20 https://doi.org/10.5061/dryad.vt68r undefined unknown Dryad https://dx.doi.org/10.5061/dryad.vt68r http://dx.doi.org/10.5061/dryad.vt68r lic_creative-commons 10.5061/dryad.vt68r oai:easy.dans.knaw.nl:easy-dataset:102294 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:102294 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 disturbance deterministic processes spatial β-diversity temporal β-diversity Community Ecology null model approach stream invertebrates Isolation stochastic processes habitat heterogeneity Northern Finland Life sciences medicine and health care envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2018 fttriple https://doi.org/10.5061/dryad.vt68r 2023-01-22T16:50:44Z 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. Long-term monitoring data of benthic stream invertebrate communitiesData includes annual monitoring data of benthic stream invertebrates collected from 23 near-pristine streams in northern Finland. Sampling was conducted during 14 consecutive years (2000 to 2013), always by the same field crew. A 2-min kick-net sampling was used. Samples were preserved in the field and later processed in the laboratory. All individuals were sorted, counted and identified to the lowest feasible level. Data in repository presents original abundance data for ... Dataset Northern Finland Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
disturbance deterministic processes spatial β-diversity temporal β-diversity Community Ecology null model approach stream invertebrates Isolation stochastic processes habitat heterogeneity Northern Finland Life sciences medicine and health care envir geo |
spellingShingle |
disturbance deterministic processes spatial β-diversity temporal β-diversity Community Ecology null model approach stream invertebrates Isolation stochastic processes habitat heterogeneity Northern Finland Life sciences medicine and health care envir geo Huttunen, Kaisa - Leena Mykrä, Heikki Oksanen, Jari Astorga, Anna Paavola, Riku Muotka, Timo Data from: Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities |
topic_facet |
disturbance deterministic processes spatial β-diversity temporal β-diversity Community Ecology null model approach stream invertebrates Isolation stochastic processes habitat heterogeneity Northern Finland Life sciences medicine and health care envir geo |
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. Long-term monitoring data of benthic stream invertebrate communitiesData includes annual monitoring data of benthic stream invertebrates collected from 23 near-pristine streams in northern Finland. Sampling was conducted during 14 consecutive years (2000 to 2013), always by the same field crew. A 2-min kick-net sampling was used. Samples were preserved in the field and later processed in the laboratory. All individuals were sorted, counted and identified to the lowest feasible level. Data in repository presents original abundance data for ... |
format |
Dataset |
author |
Huttunen, Kaisa - Leena Mykrä, Heikki Oksanen, Jari Astorga, Anna Paavola, Riku Muotka, Timo |
author_facet |
Huttunen, Kaisa - Leena Mykrä, Heikki Oksanen, Jari Astorga, Anna Paavola, Riku Muotka, Timo |
author_sort |
Huttunen, Kaisa - Leena |
title |
Data from: Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities |
title_short |
Data from: Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities |
title_full |
Data from: Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities |
title_fullStr |
Data from: Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities |
title_full_unstemmed |
Data from: Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities |
title_sort |
data from: habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities |
publisher |
Dryad |
publishDate |
2018 |
url |
https://doi.org/10.5061/dryad.vt68r |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_source |
10.5061/dryad.vt68r oai:easy.dans.knaw.nl:easy-dataset:102294 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:102294 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 |
op_relation |
https://dx.doi.org/10.5061/dryad.vt68r http://dx.doi.org/10.5061/dryad.vt68r |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.vt68r |
_version_ |
1766144267373248512 |