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Analysis of a Length-Structured Density-Dependent Model for Fish.
Callahan, Jason; Eager, Eric; Rebarber, Richard; Strawbridge, Eva; Yuan, Shenglan.
Afiliação
  • Callahan J; St. Edward's University, Austin, USA. jasonc@stedwards.edu.
  • Eager E; Pro Football Focus, Cincinnati, USA.
  • Rebarber R; University of Nebraska-Lincoln, Lincoln, USA.
  • Strawbridge E; James Madison University, Harrisonburg, USA.
  • Yuan S; LaGuardia Community College, CUNY, Long Island City, USA.
Bull Math Biol ; 81(10): 3732-3753, 2019 10.
Article em En | MEDLINE | ID: mdl-31332599
We present a length-structured matrix model for fish populations in which the probability that a fish grows into the next length class is a decreasing nonlinear function of the total biomass of the population. We present mathematical results classifying the dynamics that this density-dependent model predicts. We illustrate these results with numerical simulations for an invasive white perch population and show how the mathematical results can be used to predict the persistence and/or boundedness of the population as well as an equilibrium structure that is dominated by small fish. We illustrate the results with management recommendations for an invasive white perch population.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peixes / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Bull Math Biol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peixes / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Bull Math Biol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos