Sensitivity analysis for models of population viability

作者: Michael A. McCarthy , Mark A. Burgman , Scott Ferson

DOI: 10.1016/0006-3207(95)90029-2

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摘要: A method of sensitivity analysis for population viability models is presented that uses logistic regression to evaluate the importance model parameters influence risks extinction. This approach used fecundity and initial number non-breeding birds in a stochastic stage-structured helmeted honeyeater Lichenostomus melanops cassidix dynamics. The indicates which have greatest impact on risk decline. results demonstrate simple expression containing can encapsulate predictions risk. technique proposed as an efficient alternative models. Of four parameters, mean intact pairs had faced by population. Mean split sex ratio offspring were also important parameters. Over range considered this paper, environmental variation little interactions between was analysed.

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