Journal article
Analyzing nonlinear population dynamics data
Journal of agricultural, biological, and environmental statistics, Vol.9(2), pp.200-215
2004
DOI: 10.1198/1085711043587
Abstract
We consider the problem of analyzing long-term experiments with panels of nonlinear time-series data in the framework of generalized additive models. Our approach is developed for testing and estimating the (partial) common dynamic structure across treatment groups. We illustrate our approach with a detailed analysis of an ecotoxicological experiment on the effect of sublethal doses of a toxic substance (cadmium) on the long-run dynamic structure of the greenbottle blowfly (Lucilia sericata). The general model for the blowfly experiment is a generalized additive model which is derived from a stage-structured ecological model. We discuss the relationship between the components of the generalized additive model and those of the underlying stage- structured model. In particular, our proposed approach casts new insights on the effect of toxic diet on the population dynamic structure of the blowfly. © 2004 American Statistical Association and the International Biometric Society.
Details
- Title: Subtitle
- Analyzing nonlinear population dynamics data
- Creators
- Grace Chan - University of IowaKung-Sik Chan - University of IowaNils Chr Stenseth - University of OsloOle Chr Lingjaerde - University of Oslo
- Resource Type
- Journal article
- Publication Details
- Journal of agricultural, biological, and environmental statistics, Vol.9(2), pp.200-215
- Publisher
- American Statistical Association
- DOI
- 10.1198/1085711043587
- ISSN
- 1085-7117
- eISSN
- 1537-2693
- Language
- English
- Date published
- 2004
- Academic Unit
- Psychiatry; Radiology; Statistics and Actuarial Science
- Record Identifier
- 9984257735302771
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