Evaluation of tuna fishing zones in the eastern Pacific using a multicriteria method

A multicriteria assessment of fishing zones was carried out using the utility function (U) technique, considering three management objectives (maximizing tuna yield, minimizing dolphin mortality, and minimizing bycatch) and seven different weights among them. The Mexican purse-seine tuna fishery in...

Full description

Bibliographic Details
Main Authors: JG Vaca-Rodríguez, R Carrara-Rosales, G Montaño-Moctezuma, E Almanza-Heredia
Format: Article
Language:English
Published: Universidad Autónoma de Baja California 2007-12-01
Series:Ciencias Marinas
Subjects:
Online Access:https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/1198
_version_ 1797279504407724032
author JG Vaca-Rodríguez
R Carrara-Rosales
G Montaño-Moctezuma
E Almanza-Heredia
author_facet JG Vaca-Rodríguez
R Carrara-Rosales
G Montaño-Moctezuma
E Almanza-Heredia
author_sort JG Vaca-Rodríguez
collection DOAJ
description A multicriteria assessment of fishing zones was carried out using the utility function (U) technique, considering three management objectives (maximizing tuna yield, minimizing dolphin mortality, and minimizing bycatch) and seven different weights among them. The Mexican purse-seine tuna fishery in the eastern Pacific Ocean was used as case study, based on data obtained between 1998 and 2003 by the Mexican Tuna-Dolphin Program. The fishing zones were classified by trimester according to U, and 64% were identified as conflictive (U > 0.666 for some weights, but U < 0.333 for others); hence, two of every three trimestral quadrants require negotiation among the decision makers given the complex nature of the fishery. Quadrants with specific characteristics were identified in cases where, for instance, some particular sets explained the high bycatch values, or the targeting of bluefin tuna explained their classification as excellent. Even though the weights used provided a good proxy, in view of the great variability in space and time of the pelagic resources, actual preferences (weights) should be differentiated in space and time in order to be useful in the decision-making process. Particularly noteworthy is that wellstructured and efficient management schemes have already been implemented for two of the objectives (maximizing tuna yield and minimizing dolphin mortality), but not for the third (minimizing bycatch). 
first_indexed 2024-03-07T16:26:13Z
format Article
id doaj.art-fd3bc93286c9432c8729e29ddc041068
institution Directory Open Access Journal
issn 0185-3880
2395-9053
language English
last_indexed 2024-03-07T16:26:13Z
publishDate 2007-12-01
publisher Universidad Autónoma de Baja California
record_format Article
series Ciencias Marinas
spelling doaj.art-fd3bc93286c9432c8729e29ddc0410682024-03-03T18:17:39ZengUniversidad Autónoma de Baja CaliforniaCiencias Marinas0185-38802395-90532007-12-0133410.7773/cm.v33i4.1198Evaluation of tuna fishing zones in the eastern Pacific using a multicriteria methodJG Vaca-Rodríguez0R Carrara-Rosales1G Montaño-Moctezuma2E Almanza-Heredia3Universidad Autónoma de Baja CaliforniaUniversidad Autónoma de Baja CaliforniaUniversidad Autónoma de Baja CaliforniaUniversidad Autónoma de Baja California A multicriteria assessment of fishing zones was carried out using the utility function (U) technique, considering three management objectives (maximizing tuna yield, minimizing dolphin mortality, and minimizing bycatch) and seven different weights among them. The Mexican purse-seine tuna fishery in the eastern Pacific Ocean was used as case study, based on data obtained between 1998 and 2003 by the Mexican Tuna-Dolphin Program. The fishing zones were classified by trimester according to U, and 64% were identified as conflictive (U > 0.666 for some weights, but U < 0.333 for others); hence, two of every three trimestral quadrants require negotiation among the decision makers given the complex nature of the fishery. Quadrants with specific characteristics were identified in cases where, for instance, some particular sets explained the high bycatch values, or the targeting of bluefin tuna explained their classification as excellent. Even though the weights used provided a good proxy, in view of the great variability in space and time of the pelagic resources, actual preferences (weights) should be differentiated in space and time in order to be useful in the decision-making process. Particularly noteworthy is that wellstructured and efficient management schemes have already been implemented for two of the objectives (maximizing tuna yield and minimizing dolphin mortality), but not for the third (minimizing bycatch).  https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/1198multicriteriautility functionbycatch
spellingShingle JG Vaca-Rodríguez
R Carrara-Rosales
G Montaño-Moctezuma
E Almanza-Heredia
Evaluation of tuna fishing zones in the eastern Pacific using a multicriteria method
Ciencias Marinas
multicriteria
utility function
bycatch
title Evaluation of tuna fishing zones in the eastern Pacific using a multicriteria method
title_full Evaluation of tuna fishing zones in the eastern Pacific using a multicriteria method
title_fullStr Evaluation of tuna fishing zones in the eastern Pacific using a multicriteria method
title_full_unstemmed Evaluation of tuna fishing zones in the eastern Pacific using a multicriteria method
title_short Evaluation of tuna fishing zones in the eastern Pacific using a multicriteria method
title_sort evaluation of tuna fishing zones in the eastern pacific using a multicriteria method
topic multicriteria
utility function
bycatch
url https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/1198
work_keys_str_mv AT jgvacarodriguez evaluationoftunafishingzonesintheeasternpacificusingamulticriteriamethod
AT rcarrararosales evaluationoftunafishingzonesintheeasternpacificusingamulticriteriamethod
AT gmontanomoctezuma evaluationoftunafishingzonesintheeasternpacificusingamulticriteriamethod
AT ealmanzaheredia evaluationoftunafishingzonesintheeasternpacificusingamulticriteriamethod