The effect of delayed host self-regulation on host–pathogen population cycles in forest insects
| Autor: | Sanyi Tang, Yanni Xiao, Roger G. Bowers |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Statistics and Probability
Insecta Time Factors Bistability Population Dynamics Stable equilibrium Biology Models Biological General Biochemistry Genetics and Molecular Biology Host-Parasite Interactions Trees Parasitic Diseases Animals Carrying capacity Computer Simulation Pathogen Ecosystem General Immunology and Microbiology Host (biology) Ecology Applied Mathematics Baseline model General Medicine Key features Evolutionary biology Modeling and Simulation Population cycle General Agricultural and Biological Sciences |
| Zdroj: | Journal of Theoretical Biology. 258:240-249 |
| ISSN: | 0022-5193 |
| DOI: | 10.1016/j.jtbi.2009.02.001 |
| Popis: | Delayed host self-regulation using a Beverton-Holt function and delayed logistic self-regulation are included in a host-pathogen model with free-living infective stages (Anderson and May's model G) with the purpose of investigating whether adding the relatively complex self-regulations decrease the likelihood of population cycles. The main results indicate that adding delayed self-regulation to the baseline model increases the likelihood of population cycles. The dynamics display some of the key features seen in the field, such as cycle peak density exceeding the carrying capacity and a locally stable equilibrium coexisting with a stable cycle (bistability). Numerical studies show that the model with more complex forms of self-regulation can generate cycles which match most aspects of the cycles observed in nature. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect