Insights Into Spatial Synchrony Enabled by Long‐Term Data
Daniel C. Reuman, Jonathan A. Walter, Lawrence W. Sheppard, Vadim A. Karatayev, Ethan S. Kadiyala, Amanda C. Lohmann, Thomas L. Anderson, Nat J. Coombs, Kyle J. Haynes, Lauren M. Hallett, Max C. N. Castorani
Abstract
Spatial synchrony, the tendency for temporal fluctuations in an ecological variable to be positively associated in different locations, is a widespread and important phenomenon in ecology. Understanding of the nature and mechanisms of synchrony, and how synchrony is changing, has developed rapidly over the past 2 decades. Many recent developments have taken place through the study of long-term data sets. Here, we review and synthesise some important recent advances in spatial synchrony, with a focus on how long-term data have facilitated new understanding. Longer time series do not just facilitate better testing of existing ideas or more precise statistical results; more importantly, they also frequently make possible the expansion of conceptual paradigms. We discuss several such advances in our understanding of synchrony, how long-term data led to these advances, and how future studies can continue to improve the state of knowledge.