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Using the robust design framework and relative abundance to predict the population size of pallid sturgeon Scaphirhynchus albus in the lower Missouri River.
Steffensen, K D; Powell, L A; Pegg, M A.
Afiliação
  • Steffensen KD; Nebraska Game and Parks Commission, 2200 North 33rd Street, Lincoln, NE 68503, U.S.A.
  • Powell LA; University of Nebraska-Lincoln, School of Natural Resources, 402 Hardin Hall, Lincoln, NE 68583, U.S.A.
  • Pegg MA; University of Nebraska-Lincoln, School of Natural Resources, 402 Hardin Hall, Lincoln, NE 68583, U.S.A.
J Fish Biol ; 91(5): 1378-1391, 2017 Nov.
Article em En | MEDLINE | ID: mdl-28925076
ABSTRACT
Several population viability models were constructed to aid recovery in endangered Scaphirhynchus albus, but these models are dependent upon accurate and precise input parameters that are not provided with standard catch per unit effort (CPUE) indices. Nine years of sampling efforts, under the robust design framework, provided 1223 unique captures with an 18·3% recapture rate. The annual population estimates varied from 4·0-7·3 fish rkm-1 for wild and 8·4-18·4 fish rkm-1 for hatchery-reared S. albus. The relationship between abundance (N) and annual trot-line CPUE indices (x = 70.726y + 2·533, R2 = 0·91, P < 0·001) was used to predict an abundance of 13 616 ± 7142 s.e. S. albus in the lower Missouri River. The use of small-scale intensive sampling to develop a relationship with relative abundance indices reported here, may provide a framework for other fisheries management applications where large-scale intensive sampling is not feasible, but catch data are available.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Rios / Peixes Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Rios / Peixes Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Ano de publicação: 2017 Tipo de documento: Article