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DIGITAL.CSIC
Other ORP type . 2017 . Peer-reviewed
Data sources: DIGITAL.CSIC
Claim

Evolución de la degradación de comunidades explotadas : análisis dinámico de modelos multiespecíficos en la pesquería mediterránea

appsOther research productkeyboard_double_arrow_right Other ORP type 02 Oct 2017 Spain Spanish Publisher:CSIC - Instituto de Investigaciones Pesqueras (Barcelona)
Authors: Bas, Carles;

handle: 10261/155918

Evolución de la degradación de comunidades explotadas : análisis dinámico de modelos multiespecíficos en la pesquería mediterránea

Abstract

Siendo el objetivo fundamental del proyecto Evolución de la Degradación de Comunidades Explotadas: Análisis Dinámico de Modelos Multiespecíficos en la Pesquería Mediterránea, la obtención de un modelo numérico que explique como la pesca es la causa de la degradación de las comunidades explotadas, ha sido absolutamente necesario recoger la mayor cantidad de material documental posible antes de proceder a su elaboración y reflexión para alcanzar el modelo explicativo/predictivo objeto del proyecto. [...]

Informe final del proyecto realizado entre 1981 y 1983

Peer Reviewed

Country
Spain
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average