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Noise and determinism in synchronized sheep dynamics

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Noise and determinism in synchronized sheep dynamics. / Grenfell, B. T.; Wilson, K.; Finkenstädt, B. F. et al.
In: Nature, Vol. 394, No. 6694, 13.08.1998, p. 674-677.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Grenfell, BT, Wilson, K, Finkenstädt, BF, Coulson, TN, Murray, S, Albon, SD, Pemberton, JM, Clutton-Brock, TH & Crawley, MJ 1998, 'Noise and determinism in synchronized sheep dynamics', Nature, vol. 394, no. 6694, pp. 674-677. https://doi.org/10.1038/29291

APA

Grenfell, B. T., Wilson, K., Finkenstädt, B. F., Coulson, T. N., Murray, S., Albon, S. D., Pemberton, J. M., Clutton-Brock, T. H., & Crawley, M. J. (1998). Noise and determinism in synchronized sheep dynamics. Nature, 394(6694), 674-677. https://doi.org/10.1038/29291

Vancouver

Grenfell BT, Wilson K, Finkenstädt BF, Coulson TN, Murray S, Albon SD et al. Noise and determinism in synchronized sheep dynamics. Nature. 1998 Aug 13;394(6694):674-677. doi: 10.1038/29291

Author

Grenfell, B. T. ; Wilson, K. ; Finkenstädt, B. F. et al. / Noise and determinism in synchronized sheep dynamics. In: Nature. 1998 ; Vol. 394, No. 6694. pp. 674-677.

Bibtex

@article{f8c79260a02f47e48c81368105d74323,
title = "Noise and determinism in synchronized sheep dynamics",
abstract = "A major debate in ecology concerns the relative importance of intrinsic factors and extrinsic environmental variations in determining population size fluctuations1-6. Spatial correlation of fluctuations in different populations caused by synchronous environmental shocks2,7,8 is a powerful tool for quantifying the impact of environmental variations on population dynamics8,9. However, interpretation of synchrony is often complicated by migration between populations8,10. Here we address this issue by using time series from sheep populations on two island in the St Kilda archipelago11-13. Fluctuations in the sizes of the two populations are remarkably synchronized over a 40-year period. A nonlinear time-series model shows that a high and frequent degree of environmental correlation is required to achieve this level of synchrony. The model indicates that if there were less environmental correlation, population dynamics would be much less synchronous than is observed. This is because of a threshold effect that is dependent on population size; the threshold magnifies random differences between populations. A refined model shows that part of the required environmental synchronicity can be accounted for by large-scale weather variations. These results underline the importance of understanding the interaction between intrinsic and extrinsic influences on population dynamics14.",
author = "Grenfell, {B. T.} and K. Wilson and Finkenst{\"a}dt, {B. F.} and Coulson, {T. N.} and S. Murray and Albon, {S. D.} and Pemberton, {J. M.} and Clutton-Brock, {T. H.} and Crawley, {M. J.}",
year = "1998",
month = aug,
day = "13",
doi = "10.1038/29291",
language = "English",
volume = "394",
pages = "674--677",
journal = "Nature",
issn = "0028-0836",
publisher = "Nature Publishing Group",
number = "6694",

}

RIS

TY - JOUR

T1 - Noise and determinism in synchronized sheep dynamics

AU - Grenfell, B. T.

AU - Wilson, K.

AU - Finkenstädt, B. F.

AU - Coulson, T. N.

AU - Murray, S.

AU - Albon, S. D.

AU - Pemberton, J. M.

AU - Clutton-Brock, T. H.

AU - Crawley, M. J.

PY - 1998/8/13

Y1 - 1998/8/13

N2 - A major debate in ecology concerns the relative importance of intrinsic factors and extrinsic environmental variations in determining population size fluctuations1-6. Spatial correlation of fluctuations in different populations caused by synchronous environmental shocks2,7,8 is a powerful tool for quantifying the impact of environmental variations on population dynamics8,9. However, interpretation of synchrony is often complicated by migration between populations8,10. Here we address this issue by using time series from sheep populations on two island in the St Kilda archipelago11-13. Fluctuations in the sizes of the two populations are remarkably synchronized over a 40-year period. A nonlinear time-series model shows that a high and frequent degree of environmental correlation is required to achieve this level of synchrony. The model indicates that if there were less environmental correlation, population dynamics would be much less synchronous than is observed. This is because of a threshold effect that is dependent on population size; the threshold magnifies random differences between populations. A refined model shows that part of the required environmental synchronicity can be accounted for by large-scale weather variations. These results underline the importance of understanding the interaction between intrinsic and extrinsic influences on population dynamics14.

AB - A major debate in ecology concerns the relative importance of intrinsic factors and extrinsic environmental variations in determining population size fluctuations1-6. Spatial correlation of fluctuations in different populations caused by synchronous environmental shocks2,7,8 is a powerful tool for quantifying the impact of environmental variations on population dynamics8,9. However, interpretation of synchrony is often complicated by migration between populations8,10. Here we address this issue by using time series from sheep populations on two island in the St Kilda archipelago11-13. Fluctuations in the sizes of the two populations are remarkably synchronized over a 40-year period. A nonlinear time-series model shows that a high and frequent degree of environmental correlation is required to achieve this level of synchrony. The model indicates that if there were less environmental correlation, population dynamics would be much less synchronous than is observed. This is because of a threshold effect that is dependent on population size; the threshold magnifies random differences between populations. A refined model shows that part of the required environmental synchronicity can be accounted for by large-scale weather variations. These results underline the importance of understanding the interaction between intrinsic and extrinsic influences on population dynamics14.

U2 - 10.1038/29291

DO - 10.1038/29291

M3 - Journal article

AN - SCOPUS:0032514553

VL - 394

SP - 674

EP - 677

JO - Nature

JF - Nature

SN - 0028-0836

IS - 6694

ER -