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Recent Advances in Foraging Theory for Herbivores

Published online by Cambridge University Press:  20 November 2017

N.T. Hobbs*
Affiliation:
Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523-1499, USA
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Extract

My remarks explore the role of theory in making progress in science generally and particularly in ecology. I discuss what theory is (and isn’t). I argue that theory is a fundamentally important part of doing science efficiently, and I discuss some exciting new approaches for combining theory, data, and statistics to enhance scientific understanding. I illustrate these approaches using examples from work on foraging by mammalian herbivores.

Type
Invited Theatre Presentations
Copyright
Copyright © The British Society of Animal Science 2002

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References

Suggested reading

Anderson, D. R., K. P., Burnham, and W. L., Thompson. 2000. Null hypothesis testing: Problems, prevalence, and an alternative. Journal of Wildlife Management 64: 912923.CrossRefGoogle Scholar
Buckland, S. T., K. P., Burnham, and N. H., Augustin. 1997. Model selection: An integral part of inference. Biometrics 53: 603618.Google Scholar
Burnham, K. P., and D. R., Anderson. 1998. Model selection and inference: A practical information-theoretic approach. Springer-Verlag, New York.Google Scholar
Edwards, E. W. F. 1992. Likelihood. Johns Hopkins University Press, Baltimore MD, USA.CrossRefGoogle Scholar
Hilborn, R., and M., Mangel. 1997. The ecological detective: Confronting models with data. Princeton University Press, Princeton, New Jersey, USA.Google Scholar
Royall, R. 1997. Statistical evidence: A likelihood paradigm. Chapman and Hall/CRC.Google Scholar
Zucchini, W. 2000. An introduction to model selection. Journal of Mathematical Psychology 44: 4161.Google Scholar