The fundamental equations of multi-species virtual population analysis and its variants

Two of the most significant developments in fisheries science are the single species virtual population analysis (SSVPA) and multi-species virtual population analysis (MSVPA). Since its development, MSVPA and its variants have been used in fish population studies, fish stock assessment, and the mana...

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Main Author: Xiao, Yongshun
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0304380006005114
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spelling ftrepec:oai:RePEc:eee:ecomod:v:201:y:2007:i:3:p:477-494 2024-04-14T08:09:38+00:00 The fundamental equations of multi-species virtual population analysis and its variants Xiao, Yongshun http://www.sciencedirect.com/science/article/pii/S0304380006005114 unknown http://www.sciencedirect.com/science/article/pii/S0304380006005114 article ftrepec 2024-03-19T10:30:03Z Two of the most significant developments in fisheries science are the single species virtual population analysis (SSVPA) and multi-species virtual population analysis (MSVPA). Since its development, MSVPA and its variants have been used in fish population studies, fish stock assessment, and the management of the fisheries in many parts of the world, including the North Sea, the Baltic Sea, the Barents Sea, the Bering Sea, Georges Bank, and the Benguela Current, and have been accepted as routine and essential tools for making efficient use of the world's major fisheries resources for food production, and for conserving and managing those resources. However, serious questions arise from the fact that some of their equations are “borrowed” straight from SSVPA, except for adding a species index. VPA; SSVPA; MSVPA; Models; Multi-species models; Population models; Fish; Article in Journal/Newspaper Barents Sea Bering Sea RePEc (Research Papers in Economics) Barents Sea Bering Sea
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description Two of the most significant developments in fisheries science are the single species virtual population analysis (SSVPA) and multi-species virtual population analysis (MSVPA). Since its development, MSVPA and its variants have been used in fish population studies, fish stock assessment, and the management of the fisheries in many parts of the world, including the North Sea, the Baltic Sea, the Barents Sea, the Bering Sea, Georges Bank, and the Benguela Current, and have been accepted as routine and essential tools for making efficient use of the world's major fisheries resources for food production, and for conserving and managing those resources. However, serious questions arise from the fact that some of their equations are “borrowed” straight from SSVPA, except for adding a species index. VPA; SSVPA; MSVPA; Models; Multi-species models; Population models; Fish;
format Article in Journal/Newspaper
author Xiao, Yongshun
spellingShingle Xiao, Yongshun
The fundamental equations of multi-species virtual population analysis and its variants
author_facet Xiao, Yongshun
author_sort Xiao, Yongshun
title The fundamental equations of multi-species virtual population analysis and its variants
title_short The fundamental equations of multi-species virtual population analysis and its variants
title_full The fundamental equations of multi-species virtual population analysis and its variants
title_fullStr The fundamental equations of multi-species virtual population analysis and its variants
title_full_unstemmed The fundamental equations of multi-species virtual population analysis and its variants
title_sort fundamental equations of multi-species virtual population analysis and its variants
url http://www.sciencedirect.com/science/article/pii/S0304380006005114
geographic Barents Sea
Bering Sea
geographic_facet Barents Sea
Bering Sea
genre Barents Sea
Bering Sea
genre_facet Barents Sea
Bering Sea
op_relation http://www.sciencedirect.com/science/article/pii/S0304380006005114
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