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Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model
Human exploitation of marine resources is profoundly altering marine ecosystems, while climate change is expected to further impact commercially-harvested fish and other species. Although the global fishery is a highly complex system with many unpredictable aspects, the bioenergetic limits on fish p...
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/PMC5245811/ https://www.ncbi.nlm.nih.gov/pubmed/28103280 http://dx.doi.org/10.1371/journal.pone.0169763 |
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author | Carozza, David A. Bianchi, Daniele Galbraith, Eric D. |
author_facet | Carozza, David A. Bianchi, Daniele Galbraith, Eric D. |
author_sort | Carozza, David A. |
collection | PubMed |
description | Human exploitation of marine resources is profoundly altering marine ecosystems, while climate change is expected to further impact commercially-harvested fish and other species. Although the global fishery is a highly complex system with many unpredictable aspects, the bioenergetic limits on fish production and the response of fishing effort to profit are both relatively tractable, and are sure to play important roles. Here we describe a generalized, coupled biological-economic model of the global marine fishery that represents both of these aspects in a unified framework, the BiOeconomic mArine Trophic Size-spectrum (BOATS) model. BOATS predicts fish production according to size spectra as a function of net primary production and temperature, and dynamically determines harvest spectra from the biomass density and interactive, prognostic fishing effort. Within this framework, the equilibrium fish biomass is determined by the economic forcings of catchability, ex-vessel price and cost per unit effort, while the peak harvest depends on the ecosystem parameters. Comparison of a large ensemble of idealized simulations with observational databases, focusing on historical biomass and peak harvests, allows us to narrow the range of several uncertain ecosystem parameters, rule out most parameter combinations, and select an optimal ensemble of model variants. Compared to the prior distributions, model variants with lower values of the mortality rate, trophic efficiency, and allometric constant agree better with observations. For most acceptable parameter combinations, natural mortality rates are more strongly affected by temperature than growth rates, suggesting different sensitivities of these processes to climate change. These results highlight the utility of adopting large-scale, aggregated data constraints to reduce model parameter uncertainties and to better predict the response of fisheries to human behaviour and climate change. |
format | Online Article Text |
id | pubmed-5245811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52458112017-02-06 Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model Carozza, David A. Bianchi, Daniele Galbraith, Eric D. PLoS One Research Article Human exploitation of marine resources is profoundly altering marine ecosystems, while climate change is expected to further impact commercially-harvested fish and other species. Although the global fishery is a highly complex system with many unpredictable aspects, the bioenergetic limits on fish production and the response of fishing effort to profit are both relatively tractable, and are sure to play important roles. Here we describe a generalized, coupled biological-economic model of the global marine fishery that represents both of these aspects in a unified framework, the BiOeconomic mArine Trophic Size-spectrum (BOATS) model. BOATS predicts fish production according to size spectra as a function of net primary production and temperature, and dynamically determines harvest spectra from the biomass density and interactive, prognostic fishing effort. Within this framework, the equilibrium fish biomass is determined by the economic forcings of catchability, ex-vessel price and cost per unit effort, while the peak harvest depends on the ecosystem parameters. Comparison of a large ensemble of idealized simulations with observational databases, focusing on historical biomass and peak harvests, allows us to narrow the range of several uncertain ecosystem parameters, rule out most parameter combinations, and select an optimal ensemble of model variants. Compared to the prior distributions, model variants with lower values of the mortality rate, trophic efficiency, and allometric constant agree better with observations. For most acceptable parameter combinations, natural mortality rates are more strongly affected by temperature than growth rates, suggesting different sensitivities of these processes to climate change. These results highlight the utility of adopting large-scale, aggregated data constraints to reduce model parameter uncertainties and to better predict the response of fisheries to human behaviour and climate change. Public Library of Science 2017-01-19 /pmc/articles/PMC5245811/ /pubmed/28103280 http://dx.doi.org/10.1371/journal.pone.0169763 Text en © 2017 Carozza 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 Carozza, David A. Bianchi, Daniele Galbraith, Eric D. Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model |
title | Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model |
title_full | Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model |
title_fullStr | Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model |
title_full_unstemmed | Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model |
title_short | Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model |
title_sort | formulation, general features and global calibration of a bioenergetically-constrained fishery model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5245811/ https://www.ncbi.nlm.nih.gov/pubmed/28103280 http://dx.doi.org/10.1371/journal.pone.0169763 |
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