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Quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques
To understand changes in ecosystems, the appropriate scale at which to study them must be determined. Large marine ecosystems (LMEs) cover thousands of square kilometres and are a useful classification scheme for ecosystem monitoring and assessment. However, averaging across LMEs may obscure intrica...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4991301/ https://www.ncbi.nlm.nih.gov/pubmed/26667981 http://dx.doi.org/10.1111/gcb.13190 |
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author | Marshall, Abigail M. Bigg, Grant R. van Leeuwen, Sonja M. Pinnegar, John K. Wei, Hua‐Liang Webb, Thomas J. Blanchard, Julia L. |
author_facet | Marshall, Abigail M. Bigg, Grant R. van Leeuwen, Sonja M. Pinnegar, John K. Wei, Hua‐Liang Webb, Thomas J. Blanchard, Julia L. |
author_sort | Marshall, Abigail M. |
collection | PubMed |
description | To understand changes in ecosystems, the appropriate scale at which to study them must be determined. Large marine ecosystems (LMEs) cover thousands of square kilometres and are a useful classification scheme for ecosystem monitoring and assessment. However, averaging across LMEs may obscure intricate dynamics within. The purpose of this study is to mathematically determine local and regional patterns of ecological change within an LME using empirical orthogonal functions (EOFs). After using EOFs to define regions with distinct patterns of change, a statistical model originating from control theory is applied (Nonlinear AutoRegressive Moving Average with eXogenous input – NARMAX) to assess potential drivers of change within these regions. We have selected spatial data sets (0.5° latitude × 1°longitude) of fish abundance from North Sea fisheries research surveys (spanning 1980–2008) as well as of temperature, oxygen, net primary production and a fishing pressure proxy, to which we apply the EOF and NARMAX methods. Two regions showed significant changes since 1980: the central North Sea displayed a decrease in community size structure which the NARMAX model suggested was linked to changes in fishing; and the Norwegian trench region displayed an increase in community size structure which, as indicated by NARMAX results, was primarily linked to changes in sea‐bottom temperature. These regions were compared to an area of no change along the eastern Scottish coast where the model determined the community size structure was most strongly associated to net primary production. This study highlights the multifaceted effects of environmental change and fishing pressures in different regions of the North Sea. Furthermore, by highlighting this spatial heterogeneity in community size structure change, important local spatial dynamics are often overlooked when the North Sea is considered as a broad‐scale, homogeneous ecosystem (as normally is the case within the political Marine Strategy Framework Directive). |
format | Online Article Text |
id | pubmed-4991301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49913012016-09-06 Quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques Marshall, Abigail M. Bigg, Grant R. van Leeuwen, Sonja M. Pinnegar, John K. Wei, Hua‐Liang Webb, Thomas J. Blanchard, Julia L. Glob Chang Biol Primary Research Articles To understand changes in ecosystems, the appropriate scale at which to study them must be determined. Large marine ecosystems (LMEs) cover thousands of square kilometres and are a useful classification scheme for ecosystem monitoring and assessment. However, averaging across LMEs may obscure intricate dynamics within. The purpose of this study is to mathematically determine local and regional patterns of ecological change within an LME using empirical orthogonal functions (EOFs). After using EOFs to define regions with distinct patterns of change, a statistical model originating from control theory is applied (Nonlinear AutoRegressive Moving Average with eXogenous input – NARMAX) to assess potential drivers of change within these regions. We have selected spatial data sets (0.5° latitude × 1°longitude) of fish abundance from North Sea fisheries research surveys (spanning 1980–2008) as well as of temperature, oxygen, net primary production and a fishing pressure proxy, to which we apply the EOF and NARMAX methods. Two regions showed significant changes since 1980: the central North Sea displayed a decrease in community size structure which the NARMAX model suggested was linked to changes in fishing; and the Norwegian trench region displayed an increase in community size structure which, as indicated by NARMAX results, was primarily linked to changes in sea‐bottom temperature. These regions were compared to an area of no change along the eastern Scottish coast where the model determined the community size structure was most strongly associated to net primary production. This study highlights the multifaceted effects of environmental change and fishing pressures in different regions of the North Sea. Furthermore, by highlighting this spatial heterogeneity in community size structure change, important local spatial dynamics are often overlooked when the North Sea is considered as a broad‐scale, homogeneous ecosystem (as normally is the case within the political Marine Strategy Framework Directive). John Wiley and Sons Inc. 2016-02-15 2016-05 /pmc/articles/PMC4991301/ /pubmed/26667981 http://dx.doi.org/10.1111/gcb.13190 Text en © 2015 The Authors. Global Change Biology Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Primary Research Articles Marshall, Abigail M. Bigg, Grant R. van Leeuwen, Sonja M. Pinnegar, John K. Wei, Hua‐Liang Webb, Thomas J. Blanchard, Julia L. Quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques |
title | Quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques |
title_full | Quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques |
title_fullStr | Quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques |
title_full_unstemmed | Quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques |
title_short | Quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques |
title_sort | quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques |
topic | Primary Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4991301/ https://www.ncbi.nlm.nih.gov/pubmed/26667981 http://dx.doi.org/10.1111/gcb.13190 |
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