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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Main Authors: Huttunen, Kaisa-Leena, Mykrä, Heikki, Oksanen, Jari, Astorga, Anna, Paavola, Riku, Muotka, Timo
Format: Dataset
Language:English
Published: Dryad 2018
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.vt68r
https://datadryad.org/stash/dataset/doi:10.5061/dryad.vt68r
id ftdatacite:10.5061/dryad.vt68r
record_format openpolar
spelling 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)
institution 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
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