With an ever-increasing amount of ecological data from remote sensing, long-term networks, long-term surveys, and computer models, there is a need to develop ef?cient statistical methods that can accommodate the unique dependence structures associated with ecological inference and prediction. Indeed, as the volume of such “big data” increases, scientists are interested in addressing increasingly complex questions—particularly those accounting for spatio-temporal dependence across multiple scales, as well as multivariate community-level responses. For this invited special issue, we have sought contributions from many of the leading researchers at the interface of statistics and ecology.
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