From patterns to processes: Phase and density dependencies in the Canadian lynx cycle

Stenseth, N.C. and Falck, W. and Chan, K.S. and Bjornstad, O.N. and O'Donoghue, M. and Tong, H.W. and Boonstra, R. and Boutin, S. and Krebs, C.J. and Yoccoz, N.G. (1998) From patterns to processes: Phase and density dependencies in the Canadian lynx cycle. Proceedings of the National Academy of Sciences of the United States of America, 95 (26). pp. 15430-15435. ISSN 0027-8424. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1073/pnas.95.26.15430

Abstract

Across the boreal forest of North America, lynx populations undergo 10-year cycles. Analysis of 21 time series from 1821 to the present demonstrates that these fluctuations are generated by nonlinear processes with regulatory delays. Trophic interactions between lynx and hares cause delayed density-dependent regulation of lynx population growth. The nonlinearity, in contrast, appears to arise from phase dependencies in hunting success by lynx through the cycle. Using a combined approach of empirical, statistical, and mathematical modeling, we highlight how shifts in trophic interactions between the lynx and the hare generate the nonlinear process primarily by shifting functional response curves during the increase and the decrease phases.

Item Type: Article
Uncontrolled keywords: statistical modeling; nonlinearity; threshold autoregressive modeling; population dynamics
Subjects: Q Science
Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Q Science > QH Natural history
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics
Faculties > Science Technology and Medical Studies > School of Biosciences
Depositing User: Tara Puri
Date Deposited: 04 Jun 2009 13:15
Last Modified: 04 Jun 2009 13:15
Resource URI: http://kar.kent.ac.uk/id/eprint/17176 (The current URI for this page, for reference purposes)
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