Data from: Modeling time to population extinction when individual reproduction is autocorrelated

Aline Magdalena Lee, Bernt-Erik Sæther, Stine Svalheim Markussen, Steinar Engen & Bernt-Erik Saether
In nature, individual reproductive success is seldom independent from year to year, due to factors such as reproductive costs and individual heterogeneity. However, population projection models that incorporate temporal autocorrelations in individual reproduction can be difficult to parameterize, particularly when data are sparse. We therefore examine whether such models are necessary to avoid biased estimates of stochastic population growth and extinction risk, by comparing output from a matrix population model that incorporates reproductive autocorrelations to...
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