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Insights into spatial synchrony enabled by long-term data
  • +8
  • Daniel Reuman,
  • Jonathan Walter,
  • Lawrence Sheppard,
  • Vadim Karatayev,
  • Ethan Kadiyala,
  • Amanda Lohmann,
  • Thomas Anderson,
  • Nat Coombs,
  • Kyle Haynes,
  • Lauren Hallett,
  • Max Castorani
Daniel Reuman
University of Kansas

Corresponding Author:[email protected]

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Jonathan Walter
University of California Davis
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Lawrence Sheppard
Marine Biological Association of the United Kingdom
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Vadim Karatayev
University of Kansas
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Ethan Kadiyala
University of Virginia
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Amanda Lohmann
University of Virginia
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Thomas Anderson
Southern Illinois University Edwardsville
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Nat Coombs
University of Kansas
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Kyle Haynes
Blandy Experimental Farm
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Lauren Hallett
University of Oregon
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Max Castorani
University of Virginia
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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 two decades. Many recent developments have taken place through the study of long-term datasets. Here, we review and synthesize 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.
Submitted to Ecology Letters
26 May 2024Submission Checks Completed
26 May 2024Assigned to Editor
26 May 2024Review(s) Completed, Editorial Evaluation Pending
28 May 2024Reviewer(s) Assigned
13 Sep 20241st Revision Received
13 Sep 2024Review(s) Completed, Editorial Evaluation Pending
16 Sep 2024Assigned to Editor
16 Sep 2024Submission Checks Completed
16 Sep 2024Reviewer(s) Assigned
13 Oct 2024Editorial Decision: Revise Major