Widening the window of persistence in seasonal pathogen–host systems

• Published in: Theoretical population biology Vol. 68; no. 4; pp. 267 - 276
• Main Authors: Dugaw, Christopher J., Preisser, Evan L., Hastings, Alan, Strong, Donald R.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.12.2005
• Subjects: Animals; Entomopathogenic nematode; Exploiter–victim; Host-Parasite Interactions; Lepidoptera; Nematoda; Nematoda - parasitology; Parasites - pathogenicity; Seasonality; Seasons; Stochastic model; Stochastic Processes; Survival; Exploiter–victim; Stochastic model; Entomopathogenic nematode; Survival; Seasonality
• ISSN: 0040-5809; 1096-0325
• DOI: 10.1016/j.tpb.2005.05.003

Local instability of exploiter–victim systems is well-known in both theory and in nature. Victims can be too sparse to support exploiter reproduction (under-exploitation) or they can be too readily driven to extinction (over-exploitation). Exploiters of seasonal resources face the additional challenge of surviving periods when victims are rare or unavailable. We formulate a fully stochastic model of highly seasonal pathogen–host dynamics and explore the interactions between an entomopathogenic nematode and its lepidopteran host. Our model suggests that if nematode populations experience the high rates of mortality predicted by short-term laboratory experiments, the paired threats of under- and over-exploitation should preclude the long-term persistence of this exploiter–victim system. We measured nematode mortality rates in the field and found that long-term mortality is lower than that predicted by short-term experiments. Incorporation of this new data into our model produces long-term persistence of local nematode populations across a range of initial nematode densities.