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A simple direct method for finding persistence times of populations and application to conservation problems.
Author(s) -
M. Mangel,
Charles Tier
Publication year - 1993
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.90.3.1083
Subject(s) - persistence (discontinuity) , simple (philosophy) , extinction (optical mineralogy) , population , population size , set (abstract data type) , moment (physics) , statistics , computation , mathematics , statistical physics , econometrics , biology , demography , computer science , physics , algorithm , paleontology , philosophy , geotechnical engineering , epistemology , classical mechanics , sociology , engineering , programming language
The computation of persistence times of populations has become a central focus in conservation biology. We describe a simple, direct method for finding the statistics of persistence times by assuming that there is a maximum population size. Thus, even though the population dynamics may be very complex for population sizes below the maximum, it is possible to write a finite set of equations from which the mean and second moment of the persistence time can be found by using simple, algebraic methods. We apply the method to compute the mean and coefficient of variation of persistence times of populations that suffer large decrements (catastrophes). Our results show that in the presence of catastrophes, the increase in mean persistence time with large populations is not nearly as rapid as other theories suggest and that catastrophes occurring at even modest rates can considerably increase the risk of extinction.

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