Data from: Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation

Maria Paniw, Arpat Ozgul & Roberto Salguero-Gomez
Temporal autocorrelation in demographic processes is an important aspect of population dynamics, but a comprehensive examination of its effects on different life-history strategies is lacking. We use matrix populations models from 454 plant and animal populations to simulate stochastic population growth rates (log λs) under different temporal autocorrelations in demographic rates, using simulated and observed covariation among rates. We then test for differences in sensitivities, or changes, of log λs to changes in autocorrelation among...
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