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The ecological determinants of baboon troop movements at local and continental scales

Overview of attention for article published in Movement Ecology, July 2015
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
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Title
The ecological determinants of baboon troop movements at local and continental scales
Published in
Movement Ecology, July 2015
DOI 10.1186/s40462-015-0040-y
Pubmed ID
Authors

Caspian Johnson, Alex K Piel, Dan Forman, Fiona A Stewart, Andrew J King

Abstract

How an animal moves through its environment directly impacts its survival, reproduction, and thus biological fitness. A basic measure describing how an individual (or group) travels through its environment is Day Path Length (DPL), i.e., the distance travelled in a 24-hour period. Here, we investigate the ecological determinants of baboon (Papio spp.) troop DPL and movements at local and continental scales. At the continental scale we explore the ecological determinants of annual mean DPL for 47 baboon troops across 23 different populations, updating a classic study by Dunbar (Behav Ecol Sociobiol 31: 35-49, 1992). We find that variation in baboon DPLs is predicted by ecological dissimilarity across the genus range. Troops that experience higher average monthly rainfall and anthropogenic influences have significantly shorter DPL, whilst troops that live in areas with higher average annual temperatures have significantly longer DPL. We then explore DPLs and movement characteristics (the speed and distribution of turning angles) for yellow baboons (Papio cynocephalus) at a local scale, in the Issa Valley of western Tanzania. We show that our continental-scale model is a good predictor of DPL in Issa baboons, and that troops move significantly slower, and over shorter distances, on warmer days. We do not find any effect of season or the abundance of fruit resources on the movement characteristics or DPL of Issa baboons, but find that baboons moved less during periods of high fruit availability. Overall, this study emphasises the ability of baboons to adapt their ranging behaviour to a range of ecological conditions and highlights how investigations of movement patterns at different spatial scales can provide a more thorough understanding of the ecological determinants of movement.

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X Demographics

The data shown below were collected from the profiles of 4 X users 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
France 1 <1%
Unknown 131 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 27%
Student > Master 18 14%
Student > Bachelor 16 12%
Researcher 12 9%
Student > Doctoral Student 6 5%
Other 16 12%
Unknown 29 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 44%
Environmental Science 17 13%
Biochemistry, Genetics and Molecular Biology 6 5%
Social Sciences 5 4%
Arts and Humanities 3 2%
Other 13 10%
Unknown 30 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 July 2015.
All research outputs
#13,879,917
of 24,214,995 outputs
Outputs from Movement Ecology
#249
of 350 outputs
Outputs of similar age
#120,722
of 267,598 outputs
Outputs of similar age from Movement Ecology
#5
of 7 outputs
Altmetric has tracked 24,214,995 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one is in the 28th percentile – i.e., 28% 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 267,598 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.