Estimating utilization distributions with kernel versus local convex hull methods

Journal of Wildlife Management

Volumn 75, Issue 2, 2011, Pages 413-422

  Lichti, Nathanael I ^a   Swihart, Robert K ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

Home range; Kernel density estimation; Local convex hull; Radio telemetry; Space use; Utilization distribution

Indexed keywords

ECOLOGICAL MODELING; HOME RANGE; PERFORMANCE ASSESSMENT; RADIOTELEMETRY; RESOURCE SELECTION; SPACE USE;

EID: 79953239547     PISSN: 0022541X     EISSN: None     Source Type: Journal    
DOI: 10.1002/jwmg.48     Document Type: Article

References (25)

1. Amstrup, S. C., T. L. McDonald, and G. M. Durner. 2004. Using satellite radiotelemetry data to delineate and manage wildlife populations. Wildlife Society Bulletin 32:661-679.
2. Blundell, G. M., J. A. K. Maier, and E. M. Debevec. 2001. Linear home ranges: effects of smoothing, sample size, and autocorrelation on kernel estimates. Ecological Monographs 71:469-489.
3. Borger, L., N. Franconi, G. De Michele, A. Gantz, F. Meschi, A. Manica, S. Lovari, and T. Coulson. 2006. Effects of sampling regime on the mean and variance of home range size estimates. Journal of Animal Ecology 75:1393-1405. (Pubitemid 44556461)
4. Calenge, C. 2006. The package adehabitat for the R software: a tool for the analysis of space and habitat use by animals. Ecological Modelling 197:516-519. (Pubitemid 44108402)
5. Fieberg, J. 2007. Kernel density estimators of home range: smoothing and the autocorrelation red herring. Ecology 88:1059-1066. (Pubitemid 46641581)
6. Fieberg, J., and C. O. Kochanny. 2005. Quantifying home-range overlap: the importance of the utilization distribution. Journal of Wildlife Management 69:1346-1359.
7. Getz, W. M., S. Fortmann-Roe, P. C. Cross, A. J. Lyons, S. J. Ryan, and C. C. Wilmers. 2007. LoCoH: nonparameteric kernel methods for constructing home ranges and utilization distributions. PLoS ONE 2:1-11.
8. Getz, W. M., and C. C. Wilmers. 2004. A local nearest-neighbor convexhull construction of home ranges and utilization distributions. Ecography 27:489-505.
9. Gitzen, R. A., J. J. Millspaugh, and B. J. Kernohan. 2006. Bandwidth selection for fixed-kernel analysis of animal utilization distributions. Journal of Wildlife Management 70:1334-1344.
10. Hayne, D. W. 1949. Calculation of size of home range. Journal of Mammalogy 30:1-18.
11. Hemson, G., P. Johnson, A. South, R. Kenward, R. Ripley, and D. Macdonald. 2005. Are kernels the mustard? Data from global positioning system (GPS) collars suggests problems for kernel home-range analyses with least-squares cross-validation. Journal of Animal Ecology 74:455-463. (Pubitemid 40764393)
12. Horne, J. S., and E. O. Garton. 2006. Selecting the best home range model: an information-theoretic approach. Ecology 87:1146-1152.
13. Huck, M., J. Davison, and T. J. Roper. 2008. Comparison of two sampling protocols and four home-range estimators using radio-tracking data from urban badgers Meles meles. Wildlife Biology 14:467-477.
14. Kernohan, B. J., R. A. Gitzen, and J. J. Millspaugh. 2001. Analysis of animal space use and movements. Pages 125-166 in J. J. Millspaugh and J. M. Marzluff, editors. Radio tracking and animal populations. Academic Press, San Diego, California, USA.
15. Marzluff, J. M., S. T. Knick, and J. J. Millspaugh. 2001. High-tech behavioral ecology: modeling the distribution of animal activities to better understand wildlife space use and resource selection. Pages 309-326 in J. J. Millspaugh and J. M. Marzluff, editors. Radiotracking and animal populations. Academic Press, San Diego, California, USA.
16. Marzluff, J. M., J. J. Millspaugh, P. Hurvitz, and M. S. Handcock. 2004. Relating resources to a probabilistic measure of space use: forest fragments and Steller's Jays. Ecology 85:1411-1427.
17. Millspaugh, J. J., R. A. Gitzen, B. J. Kernohan, M. A. Larson, and C. L. Clay. 2004. Comparability of three analytical techniques to assess joint space use. Wildlife Society Bulletin 32:148-157.
18. Moorcroft, P. R., M. A. Lewis, and R. L. Crabtree. 2006. Mechanistic home range models capture spatial patterns and dynamics of coyote territories in Yellowstone. Proceedings of the Royal Society B: Biological Sciences 273:1651-1659.
19. Seaman, D. E., and R. A. Powell. 1996. An evaluation of the accuracy of kernel density estimators for home range analysis. Ecology 77:2075-2085.
20. Seaman, D. E., J. J. Millspaugh, B. J. Kernohan, G. C. Brundige, K. J. Raedeke, and R. A. Gitzen. 1999. Effects of sample size on kernel home range estimates. Journal of Wildlife Management 63:739-747.
21. Seidel, K. D. 1992. Statistical properties and applications of a new measure of joint space use for wildlife. Thesis, University of Washington, Seattle, USA.
22. Silverman, B. W. 1986. Density estimation for statistics and data analysis. Chapman and Hall, London, England.
23. VanWinkle, W. 1975. Comparison of several probabilistic home-range models. Journal of Wildlife Management 39:118-123.
24. Wand, M. P., and M. C. Jones. 1995. Kernel smoothing. Chapman & Hall/CRC, Boca Raton, Florida, USA.
25. Worton, B. J. 1989. Kernel methods for estimating the utilization distribution in home-range studies. Ecology 70:164-168. (Pubitemid 20418153)