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 in | Philosophical transactions of the Royal Society of London. Series B. Biological sciences Vol. 360; no. 1453; pp. 163 - 170 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
England
The Royal Society
29.01.2005
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| Subjects | |
| Online Access | Get full text |
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| Abstract | 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. |
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| AbstractList | 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. 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. |
| Author | Beddington, J. R. Kirkwood, G. P. |
| AuthorAffiliation | Division of Biology, Faculty of Life Sciences Imperial College London, London SW7 1NA UK |
| AuthorAffiliation_xml | – name: Division of Biology, Faculty of Life Sciences Imperial College London, London SW7 1NA UK |
| Author_xml | – sequence: 3 givenname: J. R. surname: Beddington fullname: Beddington, J. R. email: j.beddington@imperial.ac.uk organization: Department of Environmental Science and Technology, Imperial College LondonLondon SW7 1NAUK – sequence: 4 givenname: G. P. surname: Kirkwood fullname: Kirkwood, G. P. organization: Department of Environmental Science and Technology, Imperial College LondonLondon SW7 1NAUK |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/15713595$$D View this record in MEDLINE/PubMed |
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| References | 11788036 - Proc Biol Sci. 2002 Jan 7;269(1486):49-54 15713587 - Philos Trans R Soc Lond B Biol Sci. 2005 Jan 29;360(1453):21-46 Ricker W. E. (p_23) 1954; 30 p_24 Heincke F. (p_13) 1913; 16 p_22 p_16 p_17 p_2 p_18 p_1 p_19 p_4 p_12 p_6 p_14 p_5 p_15 von Bertalanffy L. (p_25) 1938; 10 p_8 p_7 p_9 Pauly D. (p_21) 1980; 11 Beverton R. J. H. (p_3) 1959; 5 p_10 p_11 Myers R. A. (p_20) 1999; 56 |
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| Snippet | Using life–history invariants, this paper develops techniques that allow the estimation of maximum sustainable yield and the
fishing mortality rate that... Using life-history invariants, this paper develops techniques that allow the estimation of maximum sustainable yield and the fishing mortality rate that... Using life–history invariants, this paper develops techniques that allow the estimation of maximum sustainable yield and the fishing mortality rate that... |
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| SubjectTerms | 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 |
| Title | The estimation of potential yield and stock status using life–history parameters |
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