Estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleet

In this study, a method will be developed and applied for estimating biological migration parameters of the biomass of a fishery resource by means of a decision analysis of the spatial behavior of the fleet. First, a model of discrete selection is estimated, together with patch capture function. Thi...

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Autores principales:	Salgado,Hugo, Soto,Ariel
Lenguaje:	English
Publicado:	ILADES. Universidad Alberto Hurtado. 2016
Materias:	Biological dispersion industrial fishing fishing migration spatial bioeconomics model stock distribution
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-88702016000100003
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spelling	oai:scielo:S0718-887020160001000032016-04-29Estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleetSalgado,HugoSoto,Ariel Biological dispersion industrial fishing fishing migration spatial bioeconomics model stock distribution In this study, a method will be developed and applied for estimating biological migration parameters of the biomass of a fishery resource by means of a decision analysis of the spatial behavior of the fleet. First, a model of discrete selection is estimated, together with patch capture function. This will allow estimating the biomass availability on each patch. In the second regression, values of biomass are used in order to estimate a model of biological migration between patches. This method is proven in the Chilean jack mackerel fishery. This will allow estimating statistically significant migration parameters, identifying migration patterns.info:eu-repo/semantics/openAccessILADES. Universidad Alberto Hurtado.Revista de análisis económico v.31 n.1 20162016-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-88702016000100003en10.4067/S0718-88702016000100003
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Biological dispersion industrial fishing fishing migration spatial bioeconomics model stock distribution
spellingShingle	Biological dispersion industrial fishing fishing migration spatial bioeconomics model stock distribution Salgado,Hugo Soto,Ariel Estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleet
description	In this study, a method will be developed and applied for estimating biological migration parameters of the biomass of a fishery resource by means of a decision analysis of the spatial behavior of the fleet. First, a model of discrete selection is estimated, together with patch capture function. This will allow estimating the biomass availability on each patch. In the second regression, values of biomass are used in order to estimate a model of biological migration between patches. This method is proven in the Chilean jack mackerel fishery. This will allow estimating statistically significant migration parameters, identifying migration patterns.
author	Salgado,Hugo Soto,Ariel
author_facet	Salgado,Hugo Soto,Ariel
author_sort	Salgado,Hugo
title	Estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleet
title_short	Estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleet
title_full	Estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleet
title_fullStr	Estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleet
title_full_unstemmed	Estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleet
title_sort	estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleet
publisher	ILADES. Universidad Alberto Hurtado.
publishDate	2016
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-88702016000100003
work_keys_str_mv	AT salgadohugo estimatingbiomassmigrationparametersbyanalyzingthespatialbehaviorofthefishingfleet AT sotoariel estimatingbiomassmigrationparametersbyanalyzingthespatialbehaviorofthefishingfleet
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Estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleet

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