Reuman Daniel C, Walter Jonathan A, Sheppard Lawrence W, Karatayev Vadim A, Kadiyala Ethan S, Lohmann Amanda C, Anderson Thomas L, Coombs Nat J, Haynes Kyle J, Hallett Lauren M, Castorani Max C N
Department of Ecology & Evolutionary Biology and Center for Ecological Research, University of Kansas, Lawrence, Kansas, USA.
Center for Watershed Sciences, University of California, Davis, Davis, California, USA.
Ecol Lett. 2025 Apr;28(4):e70112. doi: 10.1111/ele.70112.
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.
空间同步性是指生态变量的时间波动在不同地点呈正相关的趋势，是生态学中一种普遍且重要的现象。在过去20年里，人们对同步性的本质、机制以及同步性如何变化的理解有了迅速发展。最近的许多进展都是通过对长期数据集的研究取得的。在此，我们回顾并综合了空间同步性方面一些重要的最新进展，重点关注长期数据如何促进了新的理解。更长的时间序列不仅有助于更好地检验现有观点或获得更精确的统计结果；更重要的是，它们还常常使概念范式的扩展成为可能。我们讨论了在同步性理解方面的几个此类进展、长期数据如何带来这些进展，以及未来研究如何能够继续提升知识水平。
