The Relationship Between GPS Sampling Interval and Estimated Daily Travel Distances in Chacma Baboons (Papio ursinus)
-
Published:2021-05-31
Issue:
Volume:
Page:
-
ISSN:0164-0291
-
Container-title:International Journal of Primatology
-
language:en
-
Short-container-title:Int J Primatol
Author:
McCann R.,Bracken A. M.,Christensen C.,Fürtbauer I.,King A. J.
Abstract
AbstractModern studies of animal movement use the Global Positioning System (GPS) to estimate animals’ distance traveled. The temporal resolution of GPS fixes recorded should match those of the behavior of interest; otherwise estimates are likely to be inappropriate. Here, we investigate how different GPS sampling intervals affect estimated daily travel distances for wild chacma baboons (Papio ursinus). By subsampling GPS data collected at one fix per second for 143 daily travel distances (12 baboons over 11–12 days), we found that less frequent GPS fixes result in smaller estimated travel distances. Moving from a GPS frequency of one fix every second to one fix every 30 s resulted in a 33% reduction in estimated daily travel distance, while using hourly GPS fixes resulted in a 66% reduction. We then use the relationship we find between estimated travel distance and GPS sampling interval to recalculate published baboon daily travel distances and find that accounting for the predicted effect of sampling interval does not affect conclusions of previous comparative analyses. However, if short-interval or continuous GPS data—which are becoming more common in studies of primate movement ecology—are compared with historical (longer interval) GPS data in future work, controlling for sampling interval is necessary.
Publisher
Springer Science and Business Media LLC
Subject
Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics
Reference51 articles.
1. Bates, D., Machler, M., Bolker, B. M., & Walker, S. C. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. 2. Borger, L., Franconi, N., De Michele, G., Gantz, A., Meschi, F., et al (2006). Effects of sampling regime on the mean and variance of home range size estimates. Journal of Animal Ecology, 75(6), 1393–1405. 3. Bracken, A. M., Christensen, C., O’Riain, M. J., Fehlmann, G., Holton, M. D., et al (in press). Socioecology explains individual variation in urban space-use in response to management in Cape chacma baboons (Papio ursinus). International Journal of Primatology. 4. Brosh, A., Henkin, Z., Ungar, E. D., Dolev, A., Shabtay, A., et al (2010). Energy cost of activities and locomotion of grazing cows: A repeated study in larger plots. Journal of Animal Science, 88(1), 315–323. 5. Calabrese, J. M., Fleming, C. H., & Gurarie, E. (2016). ctmm: an r package for analyzing animal relocation data as a continuous-time stochastic process. Methods Ecol Evol, 7, 1124–1132. https://doi.org/10.1111/2041-210X.12559.
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|