Logistic sensitivity and bounds for extinction risks

Logistic sensitivity and bounds for extinction risks A method of sensitivity analysis for stochastic population models is proposed in which logistic regression is used to relate the probability of population decline to the parameters of the model. The regression equation serves to summarise the effects of different model parameters and interactions. The method was applied to a model of the helmeted honeyeater. The results may be used to place bounds on the predictions of the model. The predicted risk of population decline within the next 50 years is subject to substantial error. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecological Modelling Elsevier

Logistic sensitivity and bounds for extinction risks

Ecological Modelling, Volume 86 (2) – May 1, 1996

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Publisher
Elsevier
Copyright
Copyright © 1996 Elsevier Ltd
ISSN
0304-3800
eISSN
1872-7026
DOI
10.1016/0304-3800(95)00067-4
Publisher site
See Article on Publisher Site

Abstract

A method of sensitivity analysis for stochastic population models is proposed in which logistic regression is used to relate the probability of population decline to the parameters of the model. The regression equation serves to summarise the effects of different model parameters and interactions. The method was applied to a model of the helmeted honeyeater. The results may be used to place bounds on the predictions of the model. The predicted risk of population decline within the next 50 years is subject to substantial error.

Journal

Ecological ModellingElsevier

Published: May 1, 1996

References

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