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ZENODO
Dataset . 2016
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2016
License: CC 0
Data sources: Datacite
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Data from: Nonlinear scaling of foraging contacts with rodent population density

Authors: Borremans, Benny; Reijniers, Jonas; Hughes, Nelika K.; Godfrey, Stephanie S.; Gryseels, Sophie; Makundi, Rhodes H.; Leirs, Herwig;

Data from: Nonlinear scaling of foraging contacts with rodent population density

Abstract

Density-dependent shifts in population processes like territoriality, reproduction, dispersal, and parasite transmission are driven by changes in contacts between individuals. Despite this, surprisingly little is known about how contacts change with density, and thus the mechanisms driving density-dependent processes. A simple linear contact-density function is often assumed, but this is not based on a sound basis of empirical data. We addressed this question using a replicated, semi-natural experiment in which we measured contacts at feeding stations between multimammate mice, Mastomys natalensis, across ten distinct, linearly increasing densities between 10 and 272 animals/ha. Unexpectedly, unique contacts increased not linearly but sigmoidally with density, which we attribute to the species’ scramble competition mating system, small-scale dominance/avoidance and absence of territoriality. These results provide new insights into how species’ characteristics can relate to density-dependent changes in contacts, and the unexpected shape of the contact-density function warrants that density-dependence in ecological models, such as parasite transmission models, must be parameterized with care.

Borremans2015_VisitationDataBorremans2015_AttributeData

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Keywords

Mastomys natalensis, rodent behaviour, enclosure experiment

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selected citations
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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).
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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.
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