Common trends in German Bight benthic macrofaunal communities: Assessing temporal variability and the relative importance of environmental variables
We examined long-term variability in the abundance of German Bight soft bottom macro-zoobenthos together with major environmental factors (sea surface temperature, winter NAO index, salinity, phosphate, nitrate and silicate) using one of the most comprehensive ecological long-term data sets in the N...
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ftawi:oai:epic.awi.de:39102 2024-09-09T19:57:17+00:00 Common trends in German Bight benthic macrofaunal communities: Assessing temporal variability and the relative importance of environmental variables Ghodrati Shojaei, Mehdi Gutow, Lars Dannheim, Jennifer Rachor, Eike Schröder, Alexander Brey, Thomas 2016-01 application/pdf https://epic.awi.de/id/eprint/39102/ https://epic.awi.de/id/eprint/39102/1/BenthicMacrofaunatrendsinNorthSea.pdf https://doi.org/10.1016/j.seares.2015.11.002 https://hdl.handle.net/10013/epic.46328 https://hdl.handle.net/10013/epic.46328.d001 unknown https://epic.awi.de/id/eprint/39102/1/BenthicMacrofaunatrendsinNorthSea.pdf https://hdl.handle.net/10013/epic.46328.d001 Ghodrati Shojaei, M. , Gutow, L. orcid:0000-0002-9017-0083 , Dannheim, J. orcid:0000-0002-3737-5872 , Rachor, E. , Schröder, A. and Brey, T. orcid:0000-0002-6345-2851 (2016) Common trends in German Bight benthic macrofaunal communities: Assessing temporal variability and the relative importance of environmental variables , Journal of Sea Research, 107 , pp. 25-33 . doi:10.1016/j.seares.2015.11.002 <https://doi.org/10.1016/j.seares.2015.11.002> , hdl:10013/epic.46328 EPIC3Journal of Sea Research, 107, pp. 25-33, ISSN: 13851101 Article isiRev 2016 ftawi https://doi.org/10.1016/j.seares.2015.11.002 2024-06-24T04:13:16Z We examined long-term variability in the abundance of German Bight soft bottom macro-zoobenthos together with major environmental factors (sea surface temperature, winter NAO index, salinity, phosphate, nitrate and silicate) using one of the most comprehensive ecological long-term data sets in the North Sea (1981–2011). Two techniques, Min/Max Autocorrelation Factor Analysis (MAFA) and Dynamic Factor Analysis (DFA) were used to identify underlying common trends in the macrofaunal time series and the relationships between this series and environmental variables. These methods are particularly suitable for relatively short (> 15–25 years), non-stationary multivariate data series. Both MAFA and DFA identify a common trend in German Bight macrofaunal abundance i.e. a slight decrease (1981–mid-1990s) followed by a sharp trough in the late 1990s. Subsequently, scores increased again towards 2011. Our analysis indicates that winter temperature and North Atlantic Oscillation were the predominant environmental drivers of temporal variation in German Bight macrofaunal abundance. The techniques applied here are suitable tools to describe temporal fluctuations in complex and noisy multiple time series data and can detect distinct shifts and trends within such time series. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Journal of Sea Research 107 25 33 |
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Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
We examined long-term variability in the abundance of German Bight soft bottom macro-zoobenthos together with major environmental factors (sea surface temperature, winter NAO index, salinity, phosphate, nitrate and silicate) using one of the most comprehensive ecological long-term data sets in the North Sea (1981–2011). Two techniques, Min/Max Autocorrelation Factor Analysis (MAFA) and Dynamic Factor Analysis (DFA) were used to identify underlying common trends in the macrofaunal time series and the relationships between this series and environmental variables. These methods are particularly suitable for relatively short (> 15–25 years), non-stationary multivariate data series. Both MAFA and DFA identify a common trend in German Bight macrofaunal abundance i.e. a slight decrease (1981–mid-1990s) followed by a sharp trough in the late 1990s. Subsequently, scores increased again towards 2011. Our analysis indicates that winter temperature and North Atlantic Oscillation were the predominant environmental drivers of temporal variation in German Bight macrofaunal abundance. The techniques applied here are suitable tools to describe temporal fluctuations in complex and noisy multiple time series data and can detect distinct shifts and trends within such time series. |
format |
Article in Journal/Newspaper |
author |
Ghodrati Shojaei, Mehdi Gutow, Lars Dannheim, Jennifer Rachor, Eike Schröder, Alexander Brey, Thomas |
spellingShingle |
Ghodrati Shojaei, Mehdi Gutow, Lars Dannheim, Jennifer Rachor, Eike Schröder, Alexander Brey, Thomas Common trends in German Bight benthic macrofaunal communities: Assessing temporal variability and the relative importance of environmental variables |
author_facet |
Ghodrati Shojaei, Mehdi Gutow, Lars Dannheim, Jennifer Rachor, Eike Schröder, Alexander Brey, Thomas |
author_sort |
Ghodrati Shojaei, Mehdi |
title |
Common trends in German Bight benthic macrofaunal communities: Assessing temporal variability and the relative importance of environmental variables |
title_short |
Common trends in German Bight benthic macrofaunal communities: Assessing temporal variability and the relative importance of environmental variables |
title_full |
Common trends in German Bight benthic macrofaunal communities: Assessing temporal variability and the relative importance of environmental variables |
title_fullStr |
Common trends in German Bight benthic macrofaunal communities: Assessing temporal variability and the relative importance of environmental variables |
title_full_unstemmed |
Common trends in German Bight benthic macrofaunal communities: Assessing temporal variability and the relative importance of environmental variables |
title_sort |
common trends in german bight benthic macrofaunal communities: assessing temporal variability and the relative importance of environmental variables |
publishDate |
2016 |
url |
https://epic.awi.de/id/eprint/39102/ https://epic.awi.de/id/eprint/39102/1/BenthicMacrofaunatrendsinNorthSea.pdf https://doi.org/10.1016/j.seares.2015.11.002 https://hdl.handle.net/10013/epic.46328 https://hdl.handle.net/10013/epic.46328.d001 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
EPIC3Journal of Sea Research, 107, pp. 25-33, ISSN: 13851101 |
op_relation |
https://epic.awi.de/id/eprint/39102/1/BenthicMacrofaunatrendsinNorthSea.pdf https://hdl.handle.net/10013/epic.46328.d001 Ghodrati Shojaei, M. , Gutow, L. orcid:0000-0002-9017-0083 , Dannheim, J. orcid:0000-0002-3737-5872 , Rachor, E. , Schröder, A. and Brey, T. orcid:0000-0002-6345-2851 (2016) Common trends in German Bight benthic macrofaunal communities: Assessing temporal variability and the relative importance of environmental variables , Journal of Sea Research, 107 , pp. 25-33 . doi:10.1016/j.seares.2015.11.002 <https://doi.org/10.1016/j.seares.2015.11.002> , hdl:10013/epic.46328 |
op_doi |
https://doi.org/10.1016/j.seares.2015.11.002 |
container_title |
Journal of Sea Research |
container_volume |
107 |
container_start_page |
25 |
op_container_end_page |
33 |
_version_ |
1809928191550160896 |