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Quantifying animal movement for caching foragers: the path identification index (PII) and cougars, Puma concolor

Overview of attention for article published in Movement Ecology, November 2017
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Title
Quantifying animal movement for caching foragers: the path identification index (PII) and cougars, Puma concolor
Published in
Movement Ecology, November 2017
DOI 10.1186/s40462-017-0115-z
Pubmed ID
Authors

Kirsten E. Ironside, David J. Mattson, Tad Theimer, Brian Jansen, Brandon Holton, Terence Arundel, Michael Peters, Joseph O. Sexton, Thomas C. Edwards

Abstract

Many studies of animal movement have focused on directed versus area-restricted movement, which rely on correlations between step-length and turn-angles and on stationarity through time to define behavioral states. Although these approaches might apply well to grazing in patchy landscapes, species that either feed for short periods on large, concentrated food sources or cache food exhibit movements that are difficult to model using the traditional metrics of turn-angle and step-length alone. We used GPS telemetry collected from a prey-caching predator, the cougar (Puma concolor, Linnaeus), to test whether combining metrics of site recursion, spatiotemporal clustering, speed, and turning into an index of movement using partial sums, improves the ability to identify caching behavior. The index was used to identify changes in movement characteristics over time and segment paths into behavioral classes. The identification of behaviors from the Path Identification Index (PII) was evaluated using field investigations of cougar activities at GPS locations. We tested for statistical stationarity across behaviors for use of topographic view-sheds. Changes in the frequency and duration of PII were useful for identifying seasonal activities such as migration, gestation, and denning. The comparison of field investigations of cougar activities to behavioral PII classes resulted in an overall classification accuracy of 81%. Changes in behaviors were reflected in cougars' use of topographic view-sheds, resulting in statistical nonstationarity over time, and revealed important aspects of hunting behavior. Incorporating metrics of site recursion and spatiotemporal clustering revealed the temporal structure in movements of a caching forager. The movement index PII, shows promise for identifying behaviors in species that frequently return to specific locations such as food caches, watering holes, or dens, and highlights the potential role memory and cognitive abilities play in determining animal movements.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 161 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 17%
Researcher 24 15%
Lecturer 24 15%
Student > Ph. D. Student 22 14%
Student > Bachelor 5 3%
Other 19 12%
Unknown 39 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 32%
Nursing and Health Professions 28 17%
Environmental Science 13 8%
Medicine and Dentistry 6 4%
Biochemistry, Genetics and Molecular Biology 3 2%
Other 15 9%
Unknown 45 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 December 2017.
All research outputs
#14,368,528
of 23,008,860 outputs
Outputs from Movement Ecology
#246
of 316 outputs
Outputs of similar age
#236,230
of 438,098 outputs
Outputs of similar age from Movement Ecology
#5
of 6 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 316 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.3. This one is in the 18th percentile – i.e., 18% 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 438,098 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.