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The Ecological Detective: Confronting Models with Data (MPB-28)
Abstract
The modern ecologist usually works in both the field and laboratory, uses statistics and computers, and often works with ecological concepts that are model-based, if not model-driven. How do we make the field and laboratory coherent? How do we link models and data? How do we use statistics to help experimentation? How do we integrate modeling and statistics? How do we confront multiple hypotheses with data and assign degrees of belief to different hypotheses? How do we deal with time series (in which data are linked from one measurement to the next) or put multiple sources of data into one inferential framework? These are the kinds of questions asked and answered by The Ecological Detective . Ray Hilborn and Marc Mangel investigate ecological data much as a detective would investigate a crime scene by trying different hypotheses until a coherent picture emerges. The book is not a set of pat statistical procedures but rather an approach. The Ecological Detective makes liberal use of computer programming for the generation of hypotheses, exploration of data, and the comparison of different models. The authors' attitude is one of exploration, both statistical and graphical. The background required is minimal, so that students with an undergraduate course in statistics and ecology can profitably add this work to their tool-kit for solving ecological problems.
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Cited by
Effect size, confidence interval and statistical significance: a practical guide for biologists
Nakagawa, S., & Cuthill, I. C. (2007) · Biological Reviews · doi:10.1111/j.1469-185x.2007.00027.x · Cited by 3,835
Food regulates the Serengeti wildebeest: a 40-year record.
Mduma, S. A. R., Sinclair, A. R. E., & Hilborn, R. (1999) · Journal of Animal Ecology · doi:10.1046/j.1365-2656.1999.00352.x · Cited by 434
Self-citationThe seven deadly sins of comparative analysis
FRECKLETON, R. P. (2009) · Journal of Evolutionary Biology · doi:10.1111/j.1420-9101.2009.01757.x · Cited by 339
Grazers, browsers, and fire influence the extent and spatial pattern of tree cover in the Serengeti.
Holdo, R. M., Holt, R. D., & Fryxell, J. M. (2009) · Ecological Applications · doi:10.1890/07-1954.1 · Cited by 198
Metadata
- Authors
- Hilborn, R., & Mangel, M.
- Venue
- Princeton University Press eBooks
- Publisher
- Princeton University Press
- Published
- 2013-12-31
- OpenAlex
- W2619202610
- Cited by
- 487
- References
- 0
- FWCI
- 41.63
- Type
- book
- Language
- en
- Open access
- closed
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