Estimating space-use and habitat preference from wildlife telemetry data

Ecography

Volumn 31, Issue 1, 2008, Pages 140-160

  Aarts, Geert ^a   MacKenzie, Monique ^a   McConnell, Bernie ^a   Fedak, Mike ^a   Matthiopoulos, Jason ^a  

^a UNIVERSITY OF ST ANDREWS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; BEHAVIOR; ESTIMATION METHOD; GEOGRAPHICAL REGION; HABITAT SELECTION; POPULATION DISTRIBUTION; SPACE USE; TELEMETRY;

ANIMALIA; HALICHOERUS GRYPUS;

EID: 39549116366     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.2007.0906-7590.05236.x     Document Type: Review

References (84)

1. Aebischer, N. J. et al. 1993. Compositional analysis of habitat use from animal radio-tracking data Ecology 74 : 1313 1325.
2. Agresti, A. 1996. An introduction to categorical data analysis. Wiley.
3. Alldredge, J. R. Ratti, J. T. 1992. Further comparison of some statistical techniques for analysis of resource selection J. Wildl. Manage. 56 : 1 9.
4. Argos 1989. Guide to the Argos system. - Argos CLS, Toulouse.
5. Arthur, S. M. et al. 1996. Assessing habitat selection when availability changes Ecology 77 : 215 227.
6. Augustin, N. H. et al. 1996. An autologistic model for the spatial distribution of wildlife J. Appl. Ecol. 33 : 339 347.
7. Blundell, G. M. et al. 2001. Linear home ranges: effects of smoothing, sample size, and autocorrelation on kernel estimates Ecol. Monogr. 71 : 469 489.
8. Bowen, W. D. et al. 2002. Prey-dependent foraging tactics and prey profitability in a marine mammal Mar. Ecol. Prog. Ser. 244 : 235 245.
9. Boyce, M. S. McDonald, L. L. 1999. Relating populations to habitats using resource selection functions Trends Evol. Ecol. 14 : 268 272.
10. Boyce, M. S. et al. 2002. Evaluating resource selection functions Ecol. Model. 157 : 281 300.
11. Buckland, S. T. E. Elston, D. A. 1993. Empirical models for the distribution of wildlife J. Appl. Ecol. 30 : 478 495.
12. Buckland, S. T. et al. 1993. Distance sampling: estimating abundance of biological populations. Chapman and Hall.
13. Burnham, K. P. Anderson, D. R. 2002. Model selection and multimodel inference. A practical information-theoretic approach, 2nd ed. Springer.
14. Calenge, C. 2006. The package "adehabitat" for the R software: a tool for the analysis of space and habitat use by animals Ecol. Model. 197 : 516 519.
15. Calenge, C. et al. 2005. K-select analysis: a new method to analyse habitat selection in radio-tracking studies Ecol. Model. 186 : 143 153.
16. Cliff, A. D. Ord, J. K. 1973. Spatial autocorrelation. Pion, London.
17. Cramer, E. M. 1985. Multicollinearity Kotz, S. Encyclopaedia of statistics. Wiley 639 643.
18. Diggle, P. J. et al. 1998. Model-based geostatistics Appl. Stat. 47 : 299 326.
19. Drake, J. M. et al. 2006. Modelling ecological niches with support vector machines J. Appl. Ecol. 43 : 424 432.
20. Fedak, M. 2004. Marine mammals as platforms for oceanographic sampling: a "win/win" situation for biology and operational oceanography Mem. Nat. Inst. Polar Res. 58 : 133 147.
21. Fedak, M. et al. 2002. Overcoming the constraints of long range radio telemetry from animals: getting more useful data from smaller packages Integr. Comp. Biol. 42 : 3 10.
22. Fox, J. 1997. Applied regression analysis, linear models, and related methods. Sage Publ.
23. Fox, J. 2002. Linear mixed models: appendix to an R and S-PLUS companion to applied regression. Sage Publ.
24. Frair, J. L. et al. 2004. Removing GPS collar bias in habitat selection studies J. Appl. Ecol. 41 : 201 212.
25. Garshelis, D. L. 2000. Delusions in habitat evaluation: measuring use, selection, and importance Boitani, L. Fuller, T. Research techniques in animal ecology: controversies and consequences. Columbia Univ. Press 111 163.
26. Gillies, C. S. et al. 2006. Application of random effects to the study of resource selection by animals J. Anim. Ecol. 75 : 887 898.
27. Guisan, A. Zimmermann, N. E. 2000. Predictive habitat distribution models in ecology Ecol. Model. 135 : 147 186.
28. Guisan, A. et al. 2002. Generalized linear and generalized additive models in studies of species distributions: setting the scene Ecol. Model. 157 : 89 100.
29. Hall, L. S. et al. 1997. The habitat concept and a plea for standard terminology Wildl. Soc. Bull. 25 : 173 182.
30. Hammond, P. S. et al. 1994. The diet of grey seals around Orkney and other island and mainland sites in northeastern Scotland J. Appl. Ecol. 31 : 340 350.
31. Hastie, T. J. Tibshirani, R. J. 1990. Generalized additive models. Chapman and Hall.
32. Hjermann, D. O. 2000. Analyzing habitat selection in animals without well-defined home ranges Ecology 81 : 1462 1468.
33. Huffer, F. W. Wu, H. L. 1998. Markov chain Monte Carlo for autologistic regression models with application to the distribution of plant species Biometrics 54 : 509 524.
34. Hutchinson, G. E. 1957. Concluding remarks Cold Spring Harbor Symp. Quant. Biol. 22 : 415 427.
35. Isaaks, E. H. Srivastava, R. M. 1990. Applied goestatistics. Oxford Univ. press.
36. Johnson, C. J. et al. 2006. Resource selection functions based on use-availability data: theoretical motivation and evaluation methods J. Wildl. Manage. 70 : 347 357.
37. Johnson, D. H. 1980. The comparison of usage and availability measurements for evaluating resource preference Ecology 6 : 65 71.
38. Jolliffe, I. T. 1990. Principal component analysis: a beginner's guide - I. Introduction and application Weather 45 : 375 382.
39. Jonsen, I. D. et al. 2003. Meta-analysis of animal movement using state-space models Ecology 84 : 3055 3063.
40. Keating, K. A. Cherry, S. 2004. Use and interpretation of logistic regression in habitat selection studies J. Wildl. Manage. 68 : 774 789.
41. Keitt, T. H. et al. 2002. Accounting for spatial pattern when modelling organism-environment interactions Ecography 25 : 616 625.
42. Kernohan, B. J. et al. 1998. Use of an adaptive kernel home-range estimator in a GIS environment to calculate habitat use J. Environ. Manage. 53 : 83 89.
43. Latimer, A. M. et al. 2006. Building statistical models to analyze species distributions Ecol. Appl. 16 : 33 50.
44. Legendre, P. 1993. Spatial autocorrelation - trouble or new paradigm Ecology 74 : 1659 1673.
45. Lele, S. R. Keim, J. L. 2006. Weighted distributions and estimation of resource selection probability functions Ecology 87 : 3021 3028.
46. Levin, S. A. 1992. The problem of pattern and scale in ecology Ecology 73 : 1943 1967.
47. Levins, R. 1966. The strategy of model building in population biology Am. Sci. 54 : 421 431.
48. Manly, B. F. J. et al. 2002. Resource selection by animals: statistical design and analysis for field studies, 2nd edition. Chapman and Hall.
49. Matthiopoulos, J. 2003a. Model-supervised kernel smoothing for the estimation of spatial usage Oikos 102 : 367 377.
50. Matthiopoulos, J. 2003b. The use of space by animals as a function of accessibility and preference Ecol. Model. 159 : 239 268.
51. Matthiopoulos, J. et al. 2004. Using satellite telemetry and aerial counts to estimate space use by grey seals around the British Isles J. Appl. Ecol. 41 : 476 491.
52. McConnell, B. J. et al. 1992. Satellite tracking of gray seals (Halichoerus grypus) J. Zool. 226 : 271 282.
53. McConnell, B. J. et al. 1999. Movements and foraging areas of grey seals in the North Sea J. Appl. Ecol. 36 : 573 590.
54. McCullagh, P. Nelder, J. A. 1989. Generalized linear models, 2nd ed. Chapman and Hall.
55. McLaughlin, J. F. Roughgarden, J. 1992. Predation across spatial scales in heterogeneous environments. Elsevier.
56. Morales, J. M. et al. 2004. Extracting more out of relocation data: building movement models as mixtures of random walks Ecology 85 : 2436 2445.
57. Mysterud, A. Ims, R. A. 1998. Functional responses in habitat use: availability influences relative use in trade-off situations Ecology 79 : 1435 1441.
58. Nielsen, S. E. et al. 2005. Modeling species occurrence and abundance; does probability of occurrence reflect population density? Ecography 28 : 197 208.
59. Otter Research 2004b. Random effects in AD Model Builder. ADMB-RE user guide. - Otter Research, Sidney B C.
60. Overmars, K. P. et al. 2003. Spatial autocorrelation in multi-scale land use models Ecol. Model. 164 : 257 270.
61. Patterson, T. A. et al. in press. State-space models for individual animal movement. - Trends Ecol. Evol.
62. Pinheiro, J. C. Bates, D. M. 2000. Mixed-effects models in S and S-plus. Springer.
63. Prentice, R. L. Pyke, R. 1979. Logistic disease incidence models and case-control studies Biometrika 66 : 403 411.
64. Priede, I. G. Swift, S. M. 1992. Wildlife telemetry; remote monitoring and tracking of animals. Ellis Horwood, New York.
65. Ramsay, B. W. 2005. Functional data analysis. Springer.
66. Ripley, B. D. 1981. Spatial statistics. Wiley.
67. Rooney, S. M. et al. 1998. Autocorrelated data in telemetry studies: time to independence and the problem of behavioural effects Mammal Rev. 28 : 89 98.
68. Scott, J. M. et al. 2002. Predicting species occurrences; issues of accuracy and scale. Island Press.
69. Silverman, B. W. 1986. Density estimation for statistics and data analysis. Chapman and Hall.
70. Skaug, H. J. 2002. Automatic differentiation to facilitate maximum likelihood estimation in nonlinear random effects models J. Comput. Graph. Stat. 11 : 458 470.
71. SMRU 2005. Scientific advice on matters related to the management of seal populations: 2005. - Scos main advice report.
72. Stein, A. Corsten, L. C. A. 1991. Universal kriging and cokriging as a regression procedure Biometrics 47 : 575 587.
73. Stephenson, C. M. et al. 2006. Modelling establishment probabilities of an exotic plant, Rhododendron ponticum, invading a heterogeneous, woodland landscape using logistic regression with spatial autocorrelation Ecol. Model. 193 : 747 758.
74. Swihart, R. K. S. Slade, N. A. 1985. Testing for independence of observations in animal movements Ecology 66 : 1176 1184.
75. Thomas, D. L. Taylor, E. J. 2006. Study designs and tests for comparing resource use and availability II J. Wildl. Manage. 70 : 404 412.
76. Thompson, D. Fedak, M. A. 2001. How long should a dive last? A simple model of foraging decisions by breath-hold divers in a patchy environment Anim. Behav. 61 : 287 296.
77. Tilman, D. Kareiva, P. 1997. Spatial ecology: the role of space in population dynamics and interspecific interactions. Princeton Univ. Press.
78. Turchin, P. 1998. Quantitative analysis of movement; measuring and modelling population redistribution in animals and plants. Sinauer.
79. Vincent, C. et al. 2002. Assessment of Argos location accuracy from satellite tags deployed on captive gray seals Mar. Mammal Sci. 18 : 156 166.
80. Welsh, A. H. et al. 1996. Modelling the abundance of rare species: statistical models for counts with extra zeros Ecol. Model. 88 : 297 308.
81. White, G. C. Garrott, R. A. 1990. Analysis of wilflife radio-tracking data. Academic Press.
82. Whittaker, R. H. L. S. A. Root, R. B. 1973. Niche, habitat and ecotype Am. Nat. 107 : 321 338.
83. Wood, S. N. 2006. Generalized additive models: an introduction with R. Chapman and Hall.
84. Wright, P. J. et al. 2000. The influence of sediment type on the distribution of the lesser sandeel, Ammodytes marinus J. Sea Res. 44 : 243 256.