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Effects of environmental synchrony and density-dependent dispersal on temporal and spatial slopes of Taylor's law

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Title: Effects of environmental synchrony and density-dependent dispersal on temporal and spatial slopes of Taylor's law
Authors: Saitoh, Takashi Browse this author →KAKEN DB
Keywords: autoregressive time series
density dependence
environmental variability
Taylor's law
Issue Date: 2-Jun-2020
Publisher: John Wiley & Sons
Journal Title: Population ecology
Volume: 62
Issue: 3
Start Page: 300
End Page: 316
Publisher DOI: 10.1002/1438-390X.12051
Abstract: Taylor's law (TL) is an empirical rule that describes an approximate relationship between the variance and mean of population density: log(10)(variance) approximate to log(10)(a) + b x log(10)(mean). Population synchrony is another prevailing feature observed in empirical populations. This study investigated the effects of environmental synchrony and density-dependent dispersal on the temporal (b( T)) and spatial (b( S)) slopes of TL, using an empirical dataset of gray-sided vole populations and simulation analyses based on the second-order autoregressive (AR) model. Eighty-five empirical populations satisfied the temporal and spatial TLs with b( T) = 1.943 (+/- SE 0.143) and b( S) = 1.579 (+/- SE 0.136). The pairwise synchrony of population was 0.377 +/- 0.199 (mean +/- SD). Most simulated populations that obeyed the AR model satisfied the form of the temporal and spatial TLs without being affected by the environmental synchrony and density-dependent dispersal; however, those simulated slopes were too steep. The incorporation of environmental synchrony resulted in reduced simulated slopes, but those slopes, too, were still unrealistically steep. By incorporating density-dependent dispersal, simulated slopes decreased and fell within a realistic range. However, the simulated populations without environmental synchrony did not exhibit an adequate degree of density synchrony. In simulations that included both environmental synchrony and density-dependent dispersal, 92.7% of the simulated datasets provided realistic values for b( T), b( S) and population synchrony. Because the two slopes were more sensitive to the variation of density-dependent dispersal than that of environmental synchrony, density-dependent dispersal may be the key to the determination of b( T) and b( S).
Rights: This is the peer reviewed version of the following article:, which has been published in final form at This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Type: article (author version)
Appears in Collections:北方生物圏フィールド科学センター (Field Science Center for Northern Biosphere) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 齊藤 隆

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