Spatially explicit analyses unveil density dependence

Date
2004
Authors
Veldtman R.
McGeoch M.A.
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Density-dependent processes are fundamental in the understanding of species population dynamics. Whereas the benefits of considering the spatial dimension in population biology are widely acknowledged, the implications of doing so for the statistical detection of spatial density dependence have not been examined. The outcome of traditional tests may therefore differ from those that include ecologically relevant locational information on both the prey species and natural enemy. Here, we explicitly incorporate spatial information on individual counts when testing for density dependence between an insect herbivore and its parasitoids. The spatially explicit approach used identified significant density dependence more frequently and in different instances than traditional methods. The form of density dependence detected also differed between methods. These results demonstrate that the explicit consideration of patch location in density-dependence analyses is likely to significantly alter current understanding of the prevalence and form of spatial density dependence in natural populations. © 2004 The Royal Society.
Description
Keywords
density dependence, host-parasitoid interaction, population dynamics, population regulation, article, herbivory, host parasite interaction, intermethod comparison, moth, nonhuman, parasitoid, population density dependence, priority journal, animal, behavior, biological model, Botswana, comparative study, ecosystem, parasitology, population density, population dynamics, regression analysis, South Africa, Insecta, Animals, Botswana, Ecosystem, Host-Parasite Relations, Models, Biological, Moths, Population Density, Population Dynamics, Regression Analysis, South Africa, Spatial Behavior
Citation
Proceedings of the Royal Society B: Biological Sciences
271
1556