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Why large-scale climate indices seem to predict ecological processes better than local weather

Nature volume 430, pages 71–75 (2004)Cite this article

Abstract

Large-scale climatic indices such as the North Atlantic Oscillation1 are associated with population dynamics2, variation in demographic rates3 and values of phenotypic traits4,5 in many species. Paradoxically, these large-scale indices can seem to be better predictors of ecological processes than local climate5,6,7,8. Using detailed data from a population of Soay sheep9,10, we show that high rainfall, high winds or low temperatures at any time during a 3-month period can cause mortality either immediately or lagged by a few days. Most measures of local climate used by ecologists fail to capture such complex associations between weather and ecological process, and this may help to explain why large-scale, seasonal indices of climate spanning several months can outperform local climatic factors. Furthermore, we show why an understanding of the mechanism by which climate influences population ecology is important. Through simulation we demonstrate that the timing of bad weather within a period of mortality can have an important modifying influence on intraspecific competition for food, revealing an interaction between climate and density dependence11 that the use of large-scale climatic indices or inappropriate local weather variables might obscure.

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Figure 1: Dynamics of Soay sheep.
Figure 2: Results from the simulation model.

References

  1. Hurrell, J. W. Decadal trends in the North Atlantic Oscillation: Regional temperatures and precipitation. Science 269, 676–679 (1995)

    Article  ADS  CAS  Google Scholar 

  2. Stenseth, N. C. et al. Ecological effects of climate fluctuations. Science 297, 1292–1296 (2002)

    Article  ADS  CAS  Google Scholar 

  3. Coulson, T. et al. Age, sex, density, winter weather, and population crashes in Soay sheep. Science 292, 1528–1531 (2001)

    Article  ADS  CAS  Google Scholar 

  4. Forchhammer, M. C., Clutton-Brock, T. H., Lindstrom, J. & Albon, S. D. Climate and population density induce long-term cohort variation in a northern ungulate. J. Anim. Ecol. 70, 721–729 (2001)

    Article  Google Scholar 

  5. Post, E. & Stenseth, N. C. Climatic variability, plant phenology, and northern ungulates. Ecology 80, 1322–1339 (1999)

    Article  Google Scholar 

  6. Catchpole, E. A., Morgan, B. J. T., Coulson, T. N., Freeman, S. N. & Albon, S. D. Factors influencing Soay sheep survival. Appl. Stat. 49, 453–472 (2000)

    MathSciNet  Google Scholar 

  7. Mysterud, A., Stenseth, N. C., Yoccoz, N. G., Ottersen, G. & Langvatn, R. in The North Atlantic Oscillations. Climatic Significance and Environmental Impact (eds Hurrell, J. W., Belgrano, A., Ottersen, G. & Kushnir, Y.) 235–262 (American Geophysical Union, Washington DC, 2003)

    Book  Google Scholar 

  8. Stenseth, N. C. et al. Studying climate effects on ecology through the use of climate indices: the North Atlantic Oscillation. El Nino Southern Oscillation and beyond. Proc. R. Soc. B. 270, 2087–2096 (2003)

    Article  Google Scholar 

  9. Jewell, P. A., Milner, C. & Morton Boyd, J. Island Survivors: the Ecology of the Soay Sheep of St. Kilda (Academic, London, 1974)

    Google Scholar 

  10. Clutton-Brock, T. H. & Coulson, T. N. Ungulate population dynamics: the devil is in the detail. Phil. Trans. R. Soc. 357, 1299–1306 (2002)

    Article  Google Scholar 

  11. Millonas, M. Fluctuations and Order. The New Synthesis (Springer, New York, 1995)

    MATH  Google Scholar 

  12. Elton, C. S. Periodic fluctuations in the number of animals: Their cause and effects. Br. J. Exp. Biol. 2, 119–163 (1924)

    Google Scholar 

  13. Nicholson, A. The balance of animal populations. J. Anim. Ecol. 2, 132–178 (1933)

    Article  Google Scholar 

  14. Grenfell, B. T. et al. Noise and determinism in synchronised sheep dynamics. Nature 394, 674–677 (1998)

    Article  ADS  CAS  Google Scholar 

  15. Turchin, P. Complex Population Dynamics: A Theoretical/Empirical Synthesis (Princeton Univ. Press, Princeton, 2003)

    MATH  Google Scholar 

  16. Post, E. & Stenseth, N. C. Large-scale climatic fluctuation and population dynamics of moose and white-tailed deer. J. Anim. Ecol. 67, 537–543 (1998)

    Article  Google Scholar 

  17. Post, E. & Forchhammer, M. C. Synchronization of animal population dynamics by large-scale climate. Nature 420, 168–171 (2002)

    Article  ADS  CAS  Google Scholar 

  18. Stenseth, N. C. et al. Dynamics of coastal cod populations: intra- and intercohort density dependence and stochastic processes. Proc. R. Soc. Lond. B 266, 1645–1654 (1999)

    Article  Google Scholar 

  19. Albon, S. D., Guinness, F. E. & Clutton-Brock, T. H. The influence of climatic variation on the birth weights of red deer (Cervus elaphus). J. Zool. 200, 295–298 (1983)

    Article  Google Scholar 

  20. Albon, S. D., Clutton-Brock, T. H. & Guinness, F. E. Early development and population dynamics in red deer. 2. Density independent effects and cohort variation. J. Anim. Ecol. 56, 69–81 (1987)

    Article  Google Scholar 

  21. Gaillard, J. M. et al. Early survival in roe deer: causes and consequences of cohort variation in two contrasted populations. Oecologia 112, 502–513 (1997)

    Article  ADS  Google Scholar 

  22. Keller, L. F. & Vannoordwijk, A. J. Effects of local environmental conditions on nestling growth in the great tit Parus major L. Ardea 82, 349–362 (1994)

    Google Scholar 

  23. Clutton-Brock, T. H. et al. Stability and instability in ungulate populations: An empirical analysis. Am. Nat. 149, 195–219 (1997)

    Article  Google Scholar 

  24. Illius, A. W. & Gordon, I. J. in 38th Symposium of the BES. Herbivores. Between Plants and Predators (eds Oliff, H. & Drent, R. H.) (Blackwell Science, Oxford, 2002)

    Google Scholar 

  25. Milner, J. M., Elston, D. A. & Albon, S. D. Estimating the contributions of population density and climatic fluctuations to interannual variation in survival of Soay sheep. J. Anim. Ecol. 68, 1235–1247 (1999)

    Article  Google Scholar 

  26. Clutton-Brock, T. H., Price, O. F., Albon, S. D. & Jewell, P. A. Early development and population fluctuations in Soay sheep. J. Anim. Ecol. 61–396 (1992)

  27. Clutton-Brock, T. H. et al. Population fluctuations, reproductive costs and life history tactics in female Soay sheep. J. Anim. Ecol. 65, 675–689 (1996)

    Article  Google Scholar 

  28. Gulland, F. M. D. The role of nematode parasites in Soay sheep (Ovis aries L) mortality during a population crash. Parasitology 105, 493–503 (1992)

    Article  Google Scholar 

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Acknowledgements

For permission to work on St Kilda and logistics we thank Scottish Natural Heritage, the National Trust for Scotland and the UK Ministry of Defence. For data collection we thank A. MacColl and numerous volunteers. The long-term data collection has been funded by grants from NERC, BBSRC and the Wellcome Trust (UK) to T. Clutton-Brock, B. Grenfell, J. Pemberton and M. Crawley. We also thank I. Stevenson for installing and maintaining weather stations on Hirta, and to I. Stevenson and M. Crawley for comments on an earlier draft of the manuscript.

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Author notes

  1. T. B. Hallett

    Present address: Department of Infectious Disease Epidemiology, Imperial College of Science Technology and Medicine, Norfolk Place, London, W2 1PG, UK

Authors and Affiliations

  1. Department of Zoology, University of Cambridge, Downing Street, CB2 3EJ, Cambridge, UK

    T. B. Hallett, T. H. Clutton-Brock & B. T. Grenfell

  2. Department of Biological Sciences, Imperial College at Silwood Park, Ascot, Berkshire, SL5 7PY, UK

    T. Coulson

  3. Institute of Cell, Animal and Population Biology, University of Edinburgh, West Mains Road, EH9 3JT, Edinburgh, UK

    J. G. Pilkington & J. M. Pemberton

Authors
  1. T. B. Hallett
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  2. T. Coulson
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  3. J. G. Pilkington
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  4. T. H. Clutton-Brock
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  5. J. M. Pemberton
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  6. B. T. Grenfell
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Correspondence to T. Coulson.

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Hallett, T., Coulson, T., Pilkington, J. et al. Why large-scale climate indices seem to predict ecological processes better than local weather. Nature 430, 71–75 (2004). https://doi.org/10.1038/nature02708

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