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://dx.doi.org/10.5061/dryad.vt68r https://datadryad.org/stash/dataset/doi:10.5061/dryad.vt68r |
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ftdatacite:10.5061/dryad.vt68r 2024-06-09T07:48:32+00:00 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 https://dx.doi.org/10.5061/dryad.vt68r https://datadryad.org/stash/dataset/doi:10.5061/dryad.vt68r en eng Dryad https://dx.doi.org/10.1038/s41598-017-00550-9 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 deterministic processes spatial β-diversity temporal β-diversity null model approach stream invertebrates Isolation Stochastic processes habitat heterogeneity Dataset dataset 2018 ftdatacite https://doi.org/10.5061/dryad.vt68r10.1038/s41598-017-00550-9 2024-05-13T11:00:22Z 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 ... : 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 observed taxa (in alphabetical order) in each year at each study site. Environmental data is presented in related Scientic Reports paper.Kuusamon data 2000_2013_DRYAD.xlsx ... Dataset Northern Finland DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
deterministic processes spatial β-diversity temporal β-diversity null model approach stream invertebrates Isolation Stochastic processes habitat heterogeneity |
spellingShingle |
deterministic processes spatial β-diversity temporal β-diversity null model approach stream invertebrates Isolation Stochastic processes habitat heterogeneity 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 |
deterministic processes spatial β-diversity temporal β-diversity null model approach stream invertebrates Isolation Stochastic processes habitat heterogeneity |
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 ... : 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 observed taxa (in alphabetical order) in each year at each study site. Environmental data is presented in related Scientic Reports paper.Kuusamon data 2000_2013_DRYAD.xlsx ... |
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://dx.doi.org/10.5061/dryad.vt68r https://datadryad.org/stash/dataset/doi:10.5061/dryad.vt68r |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_relation |
https://dx.doi.org/10.1038/s41598-017-00550-9 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.vt68r10.1038/s41598-017-00550-9 |
_version_ |
1801380306240929792 |