Insights Into Spatial Synchrony Enabled by Long-Term Data

被引:0
作者
Reuman, Daniel C. [1 ,2 ]
Walter, Jonathan A. [3 ,4 ]
Sheppard, Lawrence W. [5 ]
Karatayev, Vadim A. [1 ,2 ,6 ]
Kadiyala, Ethan S. [4 ]
Lohmann, Amanda C. [4 ]
Anderson, Thomas L. [7 ]
Coombs, Nat J. [1 ,2 ]
Haynes, Kyle J. [4 ]
Hallett, Lauren M. [8 ]
Castorani, Max C. N. [4 ]
机构
[1] Univ Kansas, Dept Ecol & Evolutionary Biol, Lawrence, KS 66045 USA
[2] Univ Kansas, Ctr Ecol Res, Lawrence, KS 66045 USA
[3] Univ Calif Davis, Ctr Watershed Sci, Davis, CA USA
[4] Univ Virginia, Dept Environm Sci, Charlottesville, VA USA
[5] Marine Biol Assoc UK, Plymouth, England
[6] Univ Maryland, Dept Biol, College Pk, MD USA
[7] Southern Illinois Univ Edwardsville, Dept Biol Sci, Edwardsville, IL USA
[8] Univ Oregon, Dept Biol, Eugene, OR USA
基金
美国国家科学基金会; 英国自然环境研究理事会; 英国生物技术与生命科学研究理事会;
关键词
changes in synchrony; climate change; long time series; spatial synchrony; stability; timescale-specific; wavelet; POPULATION-DYNAMICS; PHASE SYNCHRONIZATION; GEOGRAPHIC-VARIATION; ECOLOGICAL DYNAMICS; PATTERN-FORMATION; SPECTRAL-ANALYSIS; TIME-SERIES; SCALE; CYCLES; VARIABILITY;
D O I
10.1111/ele.70112
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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.
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页数:19
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