From pattern to process: identifying predator–prey models from time-series data

@article{Jost2001FromPT,
  title={From pattern to process: identifying predator–prey models from time-series data},
  author={Christian Jost and Roger Arditi},
  journal={Population Ecology},
  year={2001},
  volume={43},
  pages={229-243}
}
Fitting nonlinear models to time-series is a technique of increasing importance in population ecology. In this article, we apply it to assess the importance of predator dependence in the predation process by comparing two alternative models of equal complexity (one with and one without predator dependence) to predator–prey time-series. Stochasticities in such data come from both observation error and process error. We consider how these errors must be taken into account in the fitting process… CONTINUE READING
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