2019
DOI: 10.1098/rspb.2018.2828
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Population spatial synchrony enhanced by periodicity and low detuning with environmental forcing

Abstract: Explaining why fluctuations in abundances of spatially disjunct populations often are correlated through time is a major goal of population ecologists. We address two hypotheses receiving little to no testing in wild populations: (i) that population cycling facilitates synchronization given weak coupling among populations, and (ii) that the ability of periodic external forces to synchronize oscillating populations is a function of the mismatch in timescales (detuning) between the force and the population. Here… Show more

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Cited by 22 publications
(16 citation statements)
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“…Theory predicts that cyclic populations can be synchronised via weak coupling from dispersal or via shared exogenous forcing (Moran effects), in a process known as nonlinear phase locking (Bjørnstad, 2000). Empirical evidence from laboratory experiments (Vasseur and Fox, 2009; Hopson and Fox, 2019) and observational data (Haynes et al ., 2019) support these predictions. Indeed, the lynx‐hare system features cycles thought to be synchronised regionally by phase locking through Moran effects (Stenseth et al ., 1999, 2004).…”
Section: Introductionmentioning
confidence: 53%
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“…Theory predicts that cyclic populations can be synchronised via weak coupling from dispersal or via shared exogenous forcing (Moran effects), in a process known as nonlinear phase locking (Bjørnstad, 2000). Empirical evidence from laboratory experiments (Vasseur and Fox, 2009; Hopson and Fox, 2019) and observational data (Haynes et al ., 2019) support these predictions. Indeed, the lynx‐hare system features cycles thought to be synchronised regionally by phase locking through Moran effects (Stenseth et al ., 1999, 2004).…”
Section: Introductionmentioning
confidence: 53%
“…Deer cycles would not have manifested had deer synchrony not been specific to certain timescales. Timescale specificity in synchrony is now known to be common (Sheppard et al, 2016, 2017, 2019; Walter et al ., 2017; Anderson et al ., 2019; Haynes et al ., 2019). Many past analyses of synchrony have used correlation methods (Liebhold et al ., 2004) that conflate timescales, but this can hinder detection of synchronous phenomena and inferences of drivers of synchrony by obscuring synchrony on some timescales with asynchronous dynamics on other timescales (Sheppard et al ., 2016).…”
Section: Discussionmentioning
confidence: 99%
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“…These include spatial differences in population density dependence, and differences in population sensitivities to environmental drivers (Walter et al., 2017). Complex geography is increasingly recognized as a common and important aspect of synchrony (Anderson et al., 2017; Defriez & Reuman, 2017a, 2017b; Gouveia, Bjørnstad, & Tkadlec, 2016; Haynes, Bjørnstad, Allstadt, & Liebhold, 2013; Haynes, Walter, & Liebhold, 2019; Walter et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
“…In general, spatial synchrony can be caused by responses to regional environmental fluctuations (e.g., climate, predators, and land use) (Fig. 1) and linking of populations via dispersal or by the tuning of density-dependent cycles among nearby populations by these factors (i.e., the Moran effect) (Ripa 2000;Walter et al 2017;Haynes et al 2019). Thus, changing patterns of spatial synchrony in grassland bird populations could reflect changes in the intensity or synchrony of population drivers (e.g., climate and farming activities) (Pearce-Higgins & Gill 2010;Koenig & Liebhold 2016;Allen et al 2020) or to some demographic transition that caused varying sensitivity to them (e.g., crowding or increased dispersal).…”
Section: Discussionmentioning
confidence: 99%