The estimation of potential yield and stock status using life–history parameters

Using life-history invariants, this paper develops techniques that allow the estimation of maximum sustainable yield and the fishing mortality rate that produces the maximum yield from estimates of the growth parameters, the length at first capture and the steepness of the stock recruitment relation...

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Published inPhilosophical transactions of the Royal Society of London. Series B. Biological sciences Vol. 360; no. 1453; pp. 163 - 170
Main Authors Beddington, J. R., Kirkwood, G. P.
Format Journal Article
LanguageEnglish
Published England The Royal Society 29.01.2005
Subjects
Animals
Beverton-Holt Invariants
Biomass
Conservation of Natural Resources
Developing Countries
Ecological life histories
Ecosystem
Estimation methods
Fish
Fisheries
Fisheries - methods
Fisheries science
Fishes - physiology
Food Supply
Mathematical constants
Maximum Sustainable Yield
Models, Biological
Mortality
Oceans and Seas
Population Dynamics
Stock Status Estimation
Sustainable fisheries management
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Summary:Using life-history invariants, this paper develops techniques that allow the estimation of maximum sustainable yield and the fishing mortality rate that produces the maximum yield from estimates of the growth parameters, the length at first capture and the steepness of the stock recruitment relationship. This allows sustainable yields and fishing capacity to be estimated from sparse data, such as those available for developing country fisheries.
Bibliography:istex:6DE8AD4A09DAEC17D82855B0BCD83C6CBE204303
ark:/67375/V84-W45X8M72-7
Theme Issue 'Fisheries: a future?' compiled by J. R. Beddington and G. P. Kirkwood
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0962-8436
1471-2970
DOI:10.1098/rstb.2004.1582