Literature DB >> 19563815

The roles of predator maturation delay and functional response in determining the periodicity of predator-prey cycles.

Hao Wang1, John D Nagy, Olivier Gilg, Yang Kuang.   

Abstract

Population cycles in small mammals have attracted the attention of several generations of theoretical and experimental biologists and continue to generate controversy. Top-down and bottom-up trophic regulations are two recent competing hypotheses. The principal purpose of this paper is to explore the relative contributions of a variety of ecological factors to predator-prey population cycles. Here we suggest that for some species - collared lemmings, snowshoe hares and moose in particular - maturation delay of predators and the functional response of predation appear to be the primary determinants. Our study suggests that maturation delay alone almost completely determines the cycle period, whereas the functional response greatly affects its amplitude and even its existence. These results are obtained from sensitivity analysis of all parameters in a mathematical model of the lemming-stoat delayed system, which is an extension of Gilg's model. Our result may also explain why lemmings have a 4-year cycle whereas snowshoe hares have a 10-year cycle. Our parameterized model supports and extends May's assertion that time delay impacts cycle period and amplitude. Furthermore, if maturation periods of predators are too short or too long, or the functional response resembles Holling Type I, then population cycles do not appear; however, suitable intermediate predator maturation periods and suitable functional responses can generate population cycles for both prey and predators. These results seem to explain why some populations are cyclic whereas others are not. Finally, we find parameterizations of our model that generate a 38-year population cycle consistent with the putative cycles of the moose-wolf interactions on Isle Royale, Michigan.

Entities:  

Mesh:

Year:  2009        PMID: 19563815     DOI: 10.1016/j.mbs.2009.06.004

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  3 in total

1.  Reconsidering the importance of the past in predator-prey models: both numerical and functional responses depend on delayed prey densities.

Authors:  Jiqiu Li; Andy Fenton; Lee Kettley; Phillip Roberts; David J S Montagnes
Journal:  Proc Biol Sci       Date:  2013-08-07       Impact factor: 5.349

2.  Modeling the population dynamics of lemon sharks.

Authors:  Easton R White; John D Nagy; Samuel H Gruber
Journal:  Biol Direct       Date:  2014-11-18       Impact factor: 4.540

3.  Metamodels for transdisciplinary analysis of wildlife population dynamics.

Authors:  Robert C Lacy; Philip S Miller; Philip J Nyhus; J P Pollak; Becky E Raboy; Sara L Zeigler
Journal:  PLoS One       Date:  2013-12-13       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.