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• W2103142893 abstract "Short-term, transient population dynamics can differ in important ways from long-term asymptotic dynamics. Just as perturbation analysis (sensitivity and elasticity) of the asymptotic growth rate reveals the effects of the vital rates on long-term growth, the perturbation analysis of transient dynamics can reveal the determinants of short-term patterns. In this article, I present a completely new approach to transient sensitivity and elasticity analysis, using methods from matrix calculus. Unlike previous methods, this approach applies not only to linear time-invariant models but also to time-varying, subsidized, stochastic, nonlinear and spatial models. It is computationally simple, and does not require calculation of eigenvalues or eigenvectors. The method is presented along with applications to plant and animal populations." @default.
• W2103142893 created "2016-06-24" @default.
• W2103142893 creator A5083451202 @default.
• W2103142893 date "2006-12-14" @default.
• W2103142893 modified "2023-10-02" @default.
• W2103142893 title "Sensitivity analysis of transient population dynamics" @default.
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• W2103142893 doi "https://doi.org/10.1111/j.1461-0248.2006.01001.x" @default.
• W2103142893 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17204112" @default.
• W2103142893 hasPublicationYear "2006" @default.
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