Variation in benthic long-term data of transitional waters: Is interpretation more than speculation?

Biological long-term data series in marine habitats are often used to identify anthropogenic impacts on the environment or climate induced regime shifts. However, particularly in transitional waters, environmental properties like water mass dynamics, salinity variability and the occurrence of oxygen...

Full description

Bibliographic Details
Published in:PLOS ONE
Main Authors: Zettler, Michael Lothar, Friedland, René, Gogina, Mayya, Darr, Alexander
Format: Text
Language:English
Published: Public Library of Science 2017
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396916/
http://www.ncbi.nlm.nih.gov/pubmed/28422974
https://doi.org/10.1371/journal.pone.0175746
id ftpubmed:oai:pubmedcentral.nih.gov:5396916
record_format openpolar
spelling ftpubmed:oai:pubmedcentral.nih.gov:5396916 2023-05-15T17:33:23+02:00 Variation in benthic long-term data of transitional waters: Is interpretation more than speculation? Zettler, Michael Lothar Friedland, René Gogina, Mayya Darr, Alexander 2017-04-19 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396916/ http://www.ncbi.nlm.nih.gov/pubmed/28422974 https://doi.org/10.1371/journal.pone.0175746 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396916/ http://www.ncbi.nlm.nih.gov/pubmed/28422974 http://dx.doi.org/10.1371/journal.pone.0175746 © 2017 Zettler et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY Research Article Text 2017 ftpubmed https://doi.org/10.1371/journal.pone.0175746 2017-05-07T00:23:12Z Biological long-term data series in marine habitats are often used to identify anthropogenic impacts on the environment or climate induced regime shifts. However, particularly in transitional waters, environmental properties like water mass dynamics, salinity variability and the occurrence of oxygen minima not necessarily caused by either human activities or climate change can attenuate or mask apparent signals. At first glance it very often seems impossible to interpret the strong fluctuations of e.g. abundances or species richness, since abiotic variables like salinity and oxygen content vary simultaneously as well as in apparently erratic ways. The long-term development of major macrozoobenthic parameters (abundance, biomass, species numbers) and derivative macrozoobenthic indices (Shannon diversity, Margalef, Pilou’s evenness and Hurlbert) has been successfully interpreted and related to the long-term fluctuations of salinity and oxygen, incorporation of the North Atlantic Oscillation index (NAO index), relying on the statistical analysis of modelled and measured data during 35 years of observation at three stations in the south-western Baltic Sea. Our results suggest that even at a restricted spatial scale the benthic system does not appear to be tightly controlled by any single environmental driver and highlight the complexity of spatially varying temporal response. Text North Atlantic North Atlantic oscillation PubMed Central (PMC) PLOS ONE 12 4 e0175746
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Zettler, Michael Lothar
Friedland, René
Gogina, Mayya
Darr, Alexander
Variation in benthic long-term data of transitional waters: Is interpretation more than speculation?
topic_facet Research Article
description Biological long-term data series in marine habitats are often used to identify anthropogenic impacts on the environment or climate induced regime shifts. However, particularly in transitional waters, environmental properties like water mass dynamics, salinity variability and the occurrence of oxygen minima not necessarily caused by either human activities or climate change can attenuate or mask apparent signals. At first glance it very often seems impossible to interpret the strong fluctuations of e.g. abundances or species richness, since abiotic variables like salinity and oxygen content vary simultaneously as well as in apparently erratic ways. The long-term development of major macrozoobenthic parameters (abundance, biomass, species numbers) and derivative macrozoobenthic indices (Shannon diversity, Margalef, Pilou’s evenness and Hurlbert) has been successfully interpreted and related to the long-term fluctuations of salinity and oxygen, incorporation of the North Atlantic Oscillation index (NAO index), relying on the statistical analysis of modelled and measured data during 35 years of observation at three stations in the south-western Baltic Sea. Our results suggest that even at a restricted spatial scale the benthic system does not appear to be tightly controlled by any single environmental driver and highlight the complexity of spatially varying temporal response.
format Text
author Zettler, Michael Lothar
Friedland, René
Gogina, Mayya
Darr, Alexander
author_facet Zettler, Michael Lothar
Friedland, René
Gogina, Mayya
Darr, Alexander
author_sort Zettler, Michael Lothar
title Variation in benthic long-term data of transitional waters: Is interpretation more than speculation?
title_short Variation in benthic long-term data of transitional waters: Is interpretation more than speculation?
title_full Variation in benthic long-term data of transitional waters: Is interpretation more than speculation?
title_fullStr Variation in benthic long-term data of transitional waters: Is interpretation more than speculation?
title_full_unstemmed Variation in benthic long-term data of transitional waters: Is interpretation more than speculation?
title_sort variation in benthic long-term data of transitional waters: is interpretation more than speculation?
publisher Public Library of Science
publishDate 2017
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396916/
http://www.ncbi.nlm.nih.gov/pubmed/28422974
https://doi.org/10.1371/journal.pone.0175746
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396916/
http://www.ncbi.nlm.nih.gov/pubmed/28422974
http://dx.doi.org/10.1371/journal.pone.0175746
op_rights © 2017 Zettler et al
http://creativecommons.org/licenses/by/4.0/
This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1371/journal.pone.0175746
container_title PLOS ONE
container_volume 12
container_issue 4
container_start_page e0175746
_version_ 1766131871826051072