An updated perspective on the role of environmental autocorrelation in animal populations

摘要: Ecological theory predicts that the presence of temporal autocorrelation in environments can considerably affect population extinction risk. However, empirical estimates values animal populations have not decoupled intrinsic growth and density feedback processes from environmental autocorrelation. In this study, we first discuss how present covariates be reduced through nonlinear interactions or by with multiple limiting resources. We then estimated degree Global Population Dynamics Database using a robust, model-based approach. Our results indicate time series are affected low levels autocorrelation, result consistent predictions our theoretical models. Claims supporting importance autocorrelated been largely based on indirect measures models seldom anchored realistic assumptions. It is likely more nuanced understanding effects necessary to reconcile conclusions previous theory. anticipate findings other recent will lead improvements incorporate fluctuating into risk assessments.