↓ Skip to main content

Foraging in space and time structure an African small mammal community

Overview of attention for article published in Oecologia, March 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
81 Mendeley
Title
Foraging in space and time structure an African small mammal community
Published in
Oecologia, March 2014
DOI 10.1007/s00442-014-2926-6
Pubmed ID
Authors

Mohammad A. Abu Baker, Joel S. Brown

Abstract

We used live-trapping and foraging to test for the effect of habitat selection and diet on structuring a community of six small mammals and one bird within the Soutpansberg, South Africa. We established grids that straddled adjacent habitats: woodland, rocky hillside, and grassland. Trapping and foraging were used to estimate abundance, habitat use, and species-specific foraging costs. The species with the highest abundance and foraging activity in a habitat, activity time, or food was considered the most efficient and presumed to have a competitive advantage. All species exhibited distinct patterns of spatial and temporal habitat preference which provided the main mechanism of coexistence, followed by diet selection. The study species were organized into three assemblages (α diversity): grassland, Rhabdomys pumilio, Dendromus melanotis, and Mus minutoides.; woodland, Aethomys ineptus and Micaelamys namaquensis; and rock-dwelling, M. namaquensis and Elephantulus myurus. Francolinus natalensis foraged in open rocky areas and under wooded islands within the grassland. Species organization across the habitats suggested that feeding opportunities are available within all habitats; however, distinct habitat preferences resulted from differing foraging aptitudes and efficiencies of the competing species. At Lajuma, species distribution and coexistence are promoted through distinct habitat preferences that were shaped by competition and species-specific foraging costs. The combination of trapping and foraging provided a mechanistic approach that integrates behavior into community ecology by 'asking' the animal to reveal its perspective of the environment. Using spatial and temporal foraging decisions-as behavioral indicators-enables us to guide our understanding for across-taxa species coexistence.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Spain 1 1%
Netherlands 1 1%
South Africa 1 1%
Unknown 77 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 20%
Researcher 16 20%
Student > Master 12 15%
Student > Postgraduate 8 10%
Student > Doctoral Student 6 7%
Other 12 15%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 56%
Environmental Science 17 21%
Biochemistry, Genetics and Molecular Biology 1 1%
Business, Management and Accounting 1 1%
Psychology 1 1%
Other 2 2%
Unknown 14 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2014.
All research outputs
#18,372,841
of 22,756,196 outputs
Outputs from Oecologia
#3,642
of 4,209 outputs
Outputs of similar age
#162,103
of 223,372 outputs
Outputs of similar age from Oecologia
#30
of 41 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,209 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 223,372 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.