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Comparison of Coral Reef Ecosystems along a Fishing Pressure Gradient

Three trophic mass-balance models representing coral reef ecosystems along a fishery gradient were compared to evaluate ecosystem effects of fishing. The majority of the biomass estimates came directly from a large-scale visual survey program; therefore, data were collected in the same way for all t...

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Autores principales: Weijerman, Mariska, Fulton, Elizabeth A., Parrish, Frank A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3667803/
https://www.ncbi.nlm.nih.gov/pubmed/23737951
http://dx.doi.org/10.1371/journal.pone.0063797
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author Weijerman, Mariska
Fulton, Elizabeth A.
Parrish, Frank A.
author_facet Weijerman, Mariska
Fulton, Elizabeth A.
Parrish, Frank A.
author_sort Weijerman, Mariska
collection PubMed
description Three trophic mass-balance models representing coral reef ecosystems along a fishery gradient were compared to evaluate ecosystem effects of fishing. The majority of the biomass estimates came directly from a large-scale visual survey program; therefore, data were collected in the same way for all three models, enhancing comparability. Model outputs–such as net system production, size structure of the community, total throughput, production, consumption, production-to-respiration ratio, and Finn’s cycling index and mean path length–indicate that the systems around the unpopulated French Frigate Shoals and along the relatively lightly populated Kona Coast of Hawai’i Island are mature, stable systems with a high efficiency in recycling of biomass. In contrast, model results show that the reef system around the most populated island in the State of Hawai’i, O’ahu, is in a transitional state with reduced ecosystem resilience and appears to be shifting to an algal-dominated system. Evaluation of the candidate indicators for fishing pressure showed that indicators at the community level (e.g., total biomass, community size structure, trophic level of the community) were most robust (i.e., showed the clearest trend) and that multiple indicators are necessary to identify fishing perturbations. These indicators could be used as performance indicators when compared to a baseline for management purposes. This study shows that ecosystem models can be valuable tools in identification of the system state in terms of complexity, stability, and resilience and, therefore, can complement biological metrics currently used by monitoring programs as indicators for coral reef status. Moreover, ecosystem models can improve our understanding of a system’s internal structure that can be used to support management in identification of approaches to reverse unfavorable states.
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spelling pubmed-36678032013-06-04 Comparison of Coral Reef Ecosystems along a Fishing Pressure Gradient Weijerman, Mariska Fulton, Elizabeth A. Parrish, Frank A. PLoS One Research Article Three trophic mass-balance models representing coral reef ecosystems along a fishery gradient were compared to evaluate ecosystem effects of fishing. The majority of the biomass estimates came directly from a large-scale visual survey program; therefore, data were collected in the same way for all three models, enhancing comparability. Model outputs–such as net system production, size structure of the community, total throughput, production, consumption, production-to-respiration ratio, and Finn’s cycling index and mean path length–indicate that the systems around the unpopulated French Frigate Shoals and along the relatively lightly populated Kona Coast of Hawai’i Island are mature, stable systems with a high efficiency in recycling of biomass. In contrast, model results show that the reef system around the most populated island in the State of Hawai’i, O’ahu, is in a transitional state with reduced ecosystem resilience and appears to be shifting to an algal-dominated system. Evaluation of the candidate indicators for fishing pressure showed that indicators at the community level (e.g., total biomass, community size structure, trophic level of the community) were most robust (i.e., showed the clearest trend) and that multiple indicators are necessary to identify fishing perturbations. These indicators could be used as performance indicators when compared to a baseline for management purposes. This study shows that ecosystem models can be valuable tools in identification of the system state in terms of complexity, stability, and resilience and, therefore, can complement biological metrics currently used by monitoring programs as indicators for coral reef status. Moreover, ecosystem models can improve our understanding of a system’s internal structure that can be used to support management in identification of approaches to reverse unfavorable states. Public Library of Science 2013-05-30 /pmc/articles/PMC3667803/ /pubmed/23737951 http://dx.doi.org/10.1371/journal.pone.0063797 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Weijerman, Mariska
Fulton, Elizabeth A.
Parrish, Frank A.
Comparison of Coral Reef Ecosystems along a Fishing Pressure Gradient
title Comparison of Coral Reef Ecosystems along a Fishing Pressure Gradient
title_full Comparison of Coral Reef Ecosystems along a Fishing Pressure Gradient
title_fullStr Comparison of Coral Reef Ecosystems along a Fishing Pressure Gradient
title_full_unstemmed Comparison of Coral Reef Ecosystems along a Fishing Pressure Gradient
title_short Comparison of Coral Reef Ecosystems along a Fishing Pressure Gradient
title_sort comparison of coral reef ecosystems along a fishing pressure gradient
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3667803/
https://www.ncbi.nlm.nih.gov/pubmed/23737951
http://dx.doi.org/10.1371/journal.pone.0063797
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