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Spatially explicit analyses unveil density dependence

Authors: Veldtman R.; McGeoch M.A.;

Spatially explicit analyses unveil density dependence

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.

Country
South Africa
Related Organizations
Keywords

570, Insecta, parasitology, Population Dynamics, Spatial Behavior, Moths, Models, Biological, regression analysis, Host-Parasite Interactions, South Africa, Models, population regulation, population dynamics, Animals, animal, Host-Parasite Relations, moth, intermethod comparison, population density, parasitoid, comparative study, Ecosystem, ecosystem, Population Density, nonhuman, Botswana, herbivory, behavior, article, host-parasitoid interaction, biological model, Biological, population density dependence, priority journal, density dependence, Regression Analysis, host parasite interaction

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Top 10%
Top 10%
bronze