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Landscape effects on demersal fish revealed by field observations and predictive seabed modelling
Nature conservation and fisheries management often focus on particular seabed features that are considered vulnerable or important to commercial species. As a result, individual seabed types are protected in isolation, without any understanding of what effect the mixture of seabed types within the l...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724865/ https://www.ncbi.nlm.nih.gov/pubmed/29228035 http://dx.doi.org/10.1371/journal.pone.0189011 |
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author | Elliott, Sophie A. M. Sabatino, Alessandro D. Heath, Michael R. Turrell, William R. Bailey, David M. |
author_facet | Elliott, Sophie A. M. Sabatino, Alessandro D. Heath, Michael R. Turrell, William R. Bailey, David M. |
author_sort | Elliott, Sophie A. M. |
collection | PubMed |
description | Nature conservation and fisheries management often focus on particular seabed features that are considered vulnerable or important to commercial species. As a result, individual seabed types are protected in isolation, without any understanding of what effect the mixture of seabed types within the landscape has on ecosystem functions. Here we undertook predictive seabed modelling within a coastal marine protected area using observations from underwater stereo-video camera deployments and environmental information (depth, wave fetch, maximum tidal speeds, distance from coast and underlying geology). The effect of the predicted substratum type, extent and heterogeneity or the diversity of substrata, within a radius of 1500 m around each camera deployment of juvenile gadoid relative abundance was analysed. The predicted substratum model performed well with wave fetch and depth being the most influential predictor variables. Gadus morhua (Atlantic cod) were associated with relatively more rugose substrata (Algal-gravel-pebble and seagrass) and heterogeneous landscapes, than Melanogrammus aeglefinus (haddock) or Merlangius merlangus (whiting) (sand and mud). An increase in M. merlangus relative abundance was observed with increasing substratum extent. These results reveal that landscape effects should be considered when protecting the seabed for fish and not just individual seabed types. The landscape approach used in this study therefore has important implications for marine protected area, fisheries management and monitoring advice concerning demersal fish populations. |
format | Online Article Text |
id | pubmed-5724865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57248652017-12-15 Landscape effects on demersal fish revealed by field observations and predictive seabed modelling Elliott, Sophie A. M. Sabatino, Alessandro D. Heath, Michael R. Turrell, William R. Bailey, David M. PLoS One Research Article Nature conservation and fisheries management often focus on particular seabed features that are considered vulnerable or important to commercial species. As a result, individual seabed types are protected in isolation, without any understanding of what effect the mixture of seabed types within the landscape has on ecosystem functions. Here we undertook predictive seabed modelling within a coastal marine protected area using observations from underwater stereo-video camera deployments and environmental information (depth, wave fetch, maximum tidal speeds, distance from coast and underlying geology). The effect of the predicted substratum type, extent and heterogeneity or the diversity of substrata, within a radius of 1500 m around each camera deployment of juvenile gadoid relative abundance was analysed. The predicted substratum model performed well with wave fetch and depth being the most influential predictor variables. Gadus morhua (Atlantic cod) were associated with relatively more rugose substrata (Algal-gravel-pebble and seagrass) and heterogeneous landscapes, than Melanogrammus aeglefinus (haddock) or Merlangius merlangus (whiting) (sand and mud). An increase in M. merlangus relative abundance was observed with increasing substratum extent. These results reveal that landscape effects should be considered when protecting the seabed for fish and not just individual seabed types. The landscape approach used in this study therefore has important implications for marine protected area, fisheries management and monitoring advice concerning demersal fish populations. Public Library of Science 2017-12-11 /pmc/articles/PMC5724865/ /pubmed/29228035 http://dx.doi.org/10.1371/journal.pone.0189011 Text en © 2017 Elliott 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. |
spellingShingle | Research Article Elliott, Sophie A. M. Sabatino, Alessandro D. Heath, Michael R. Turrell, William R. Bailey, David M. Landscape effects on demersal fish revealed by field observations and predictive seabed modelling |
title | Landscape effects on demersal fish revealed by field observations and predictive seabed modelling |
title_full | Landscape effects on demersal fish revealed by field observations and predictive seabed modelling |
title_fullStr | Landscape effects on demersal fish revealed by field observations and predictive seabed modelling |
title_full_unstemmed | Landscape effects on demersal fish revealed by field observations and predictive seabed modelling |
title_short | Landscape effects on demersal fish revealed by field observations and predictive seabed modelling |
title_sort | landscape effects on demersal fish revealed by field observations and predictive seabed modelling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724865/ https://www.ncbi.nlm.nih.gov/pubmed/29228035 http://dx.doi.org/10.1371/journal.pone.0189011 |
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