NDLI: Testing for predator dependence in predator-prey dynamics: a non-parametric approach.

Content Provider	PubMed Central
Author	Jost, C. Ellner, S. P.
Abstract	The functional response is a key element in all predator-prey interactions. Although functional responses are traditionally modelled as being a function of prey density only, evidence is accumulating that predator density also has an important effect. However, much of the evidence comes from artificial experimental arenas under conditions not necessarily representative of the natural system, and neglecting the temporal dynamics of the organism (in particular the effects of prey depletion on the estimated functional response). Here we present a method that removes these limitations by reconstructing the functional response non-parametrically from predator-prey time-series data. This method is applied to data on a protozoan predator-prey interaction, and we obtain significant evidence of predator dependence in the functional response. A crucial element in this analysis is to include time-lags in the prey and predator reproduction rates, and we show that these delays improve the fit of the model significantly. Finally, we compare the non-parametrically reconstructed functional response to parametric forms, and suggest that a modified version of the Hassell-Varley predator interference model provides a simple and flexible function for theoretical investigation and applied modelling.
Related Links	http://dx.doi.org/10.1098/rspb.2000.1186
Ending Page	1620
Page Count	10
Starting Page	1611
File Format	PDF
ISSN	09628452
e-ISSN	14712954
Journal	Proceedings of the Royal Society B: Biological Sciences
Issue Number	1453
Volume Number	267
Language	English
Publisher Date	2000-08-22
Access Restriction	Open
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Immunology and Microbiology(all) Agricultural and Biological Sciences(all) Environmental Science(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Immunology and Microbiology Medicine Biochemistry, Genetics and Molecular Biology Environmental Science Agricultural and Biological Sciences

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