Independent and competing disease risks: implications for host populations in variable environments.

TitleIndependent and competing disease risks: implications for host populations in variable environments.
Publication TypeJournal Article
Year of Publication2006
AuthorsJolles AE, Etienne RS, Olff H
JournalThe American naturalist
Volume167
Issue5
Pagination745-57
Date Published2006 May
ISSN1537-5323
KeywordsAnimals, Buffaloes, Climate, Environment, Fertility, Models, Biological, Population Density, Population Dynamics, South Africa, Survival Analysis, Tuberculosis
Abstract

Disease models usually assume disease to act independently of other mortality- and morbidity-causing factors. Alternatively, disease may function as a competing risk factor, for example, killing already moribund hosts. Using tuberculosis (TB) in African buffalo as a model system, we explore consequences of competing or independent disease effects for host population dynamics. We include scenarios with density-dependent and density-independent effects of environmental variation, exemplified by variable food availability (driven by rainfall) and catastrophic droughts, respectively. Independent disease effects reduce population size linearly with prevalence, irrespective of the nature of environmental variation. Competing disease risks alter population size only if density-independent variation is present; then, disease reduces population size nonlinearly. Field data indicate that the net effect of TB on buffalo likely falls between the extremes of total independence and competition with other risk factors: TB increases mortality and decreases fecundity in some prime-aged buffalo, suggesting independent disease risks in these individuals, while similar disease effects in senescent buffalo may act as competing risks. Moreover, increased survival and fecundity of TB-negative buffalo may compensate for some disease-related losses. Model assumptions on independent or competing disease risks and environmental variability should be considered explicitly when assessing disease effects on wildlife populations.

Alternate JournalAm. Nat.
Tags: