Elasticity analysis of green sturgeon life history
Identifieur interne : 000C67 ( Main/Merge ); précédent : 000C66; suivant : 000C68Elasticity analysis of green sturgeon life history
Auteurs : Selina S. Heppell [États-Unis]Source :
- Environmental biology of fishes [ 0378-1909 ] ; 2007.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Démographie.
English descriptors
- KwdEn :
Abstract
I provide an analysis of a simplified life history model for green sturgeon, Acipenser medirostris, based on published and recent estimates of reproduction and growth rates and survival rates from life history theory. The deterministic life cycle models serve as a tool for qualitative analysis of the impacts of perturbations on green sturgeon, including harvest regulations based on minimum and maximum size limits ("slot limits"). Elasticity analysis of models with two alternative age-length relationships give similar results, with a high sensitivity of population growth rate to changes in the survival rate of subadult and adult fish. A dramatic increase in the survival of young of the year sturgeon or annual egg production is required to compensate for relatively low levels of fishing mortality. Peak reproductive values occur from ages 25 to 40. An increase or decrease in the maximum and minimum size limits can have a profound effect on the elasticity of population growth to changes in the annual survival rate of age classes specified by the slot, due to changes in the number of age classes of subadults and adults that are available for harvest. This analysis provides managers with a simple tool to assess the relative impacts of alternative harvest regulations. In general, green sturgeon follow life history patterns similar to other sturgeon, but species-specific demographic information is needed to produce more complex assessment and viability analysis models.
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Pascal:07-0412101Le document en format XML
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<author><name sortKey="Heppell, Selina S" sort="Heppell, Selina S" uniqKey="Heppell S" first="Selina S." last="Heppell">Selina S. Heppell</name>
<affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Department of Fisheries and Wildlife, Oregon State University, 104 Nash Hall</s1>
<s2>Corvallis, OR 97331</s2>
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<series><title level="j" type="main">Environmental biology of fishes</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Demography</term>
<term>Life history</term>
<term>Pisces</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Cycle évolutif</term>
<term>Démographie</term>
<term>Pisces</term>
<term>Acipenser</term>
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<front><div type="abstract" xml:lang="en">I provide an analysis of a simplified life history model for green sturgeon, Acipenser medirostris, based on published and recent estimates of reproduction and growth rates and survival rates from life history theory. The deterministic life cycle models serve as a tool for qualitative analysis of the impacts of perturbations on green sturgeon, including harvest regulations based on minimum and maximum size limits ("slot limits"). Elasticity analysis of models with two alternative age-length relationships give similar results, with a high sensitivity of population growth rate to changes in the survival rate of subadult and adult fish. A dramatic increase in the survival of young of the year sturgeon or annual egg production is required to compensate for relatively low levels of fishing mortality. Peak reproductive values occur from ages 25 to 40. An increase or decrease in the maximum and minimum size limits can have a profound effect on the elasticity of population growth to changes in the annual survival rate of age classes specified by the slot, due to changes in the number of age classes of subadults and adults that are available for harvest. This analysis provides managers with a simple tool to assess the relative impacts of alternative harvest regulations. In general, green sturgeon follow life history patterns similar to other sturgeon, but species-specific demographic information is needed to produce more complex assessment and viability analysis models.</div>
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