Comparison of visual-based helicopter and fixed-wing forward-looking infrared surveys for counting white-tailed deer Odocoileus virginianus

Wildlife Biology

Volumn 17, Issue 4, 2011, Pages 431-440

  Storm, Daniel J ^a   Samuel, Michael D ^a   Van Deelen, Timothy R ^a   Malcolm, Karl D ^a   Rolley, Robert E ^b   Frost, Nancy A ^b   Bates, Donald P ^b   Richards, Bryan J ^c  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b WISCONSIN DEPARTMENT OF NATURAL RESOURCES   (United States)

^c NATIONAL WILDLIFE HEALTH CENTER   (United States)

Author keywords

FLIR; forward looking infrared; helicopters; Odocoileus virginianus; white tailed deer; wildlife surveys

Indexed keywords

ANIMALIA; CERVIDAE; ODOCOILEUS VIRGINIANUS;

EID: 84859035245     PISSN: 09096396     EISSN: None     Source Type: Journal    
DOI: 10.2981/10-062     Document Type: Review

References (51)

1. Amstrup S.C., York G., McDonald T.L., Nielson R. &Simac K. 2004: Detecting denning polar bears with forward looking infra-red (FLIR) imagery. - Bioscience 54(4): 337-344. (Pubitemid 38463968)
2. Anderson D.R. 2001: The need to get the basics right in wildlife field studies. -Wildlife Society Bulletin 29(4): 1294-1297. (Pubitemid 34054358)
3. Baldacci A., Carron M. &Portunato N. 2005: Infrared detection of marine mammals. - NATO Undersea ResearchCentre TechnicalReport SR-443.NATOUndersea Research Centre, New York, New York, USA, 30 pp.
4. Bartelt G., Pardee J. &Thiede K. 2003: Environmental impact statement on rules to eradicate chronic wasting disease inWisconsin's free-ranging white-tailed deer herd. -Wisconsin Department of Natural Resources,Madison, USA, 175 pp.
5. Beasom S.L., Leon III F.G. &Synatzake D.R. 1986: Accuracy and precision of counting white-tailed deer with helicopters at different sampling intensities. - Wildlife Society Bulletin 14(4): 364-368.
6. Belant J.L.&Seamans,T.W. 2000:Comparison of 3 devices to observe white-tailed deer at night. - Wildlife Society Bulletin 28(1): 154-158. (Pubitemid 30247508)
7. Beringer J.,Hanson,L.P.&Sexton,O. 1998:Detection rates of white-tailed deer with a helicopter over snow. -Wildlife Society Bulletin 26(1): 24-28. (Pubitemid 28370102)
8. Bernatas S. 2006: Aerial infrared deer survey for Delaware Division of Fish and Wildlife. - Report submitted to Wildlife Section, Delaware Division of Fish andWildlife. Vision Air Research, Inc. Boise, Idaho, USA, 22 pp.
9. Bernatas S. &Nelson L. 2004: Sightabilty model for California bighorn sheep in canyonlands using forwardlooking infrared (FLIR). -Wildlife Society Bulletin 32(3): 638-647. (Pubitemid 39448153)
10. Blackwell B.F., Seamans T.W., Washburn B.E. &Cepek J.D. 2006:Use of infrared technology in wildlife surveys. - Proceedings of the 22nd Vertebrate Pest Conference 22: 467-472.
11. Caughley,G. 1974: Bias in aerial survey. - Journal of Wildlife Management 38(4): 921-933.
12. Creed W.A., Haberland F.P., Kohn B.E. &McCaffery K.R. 1984: Harvest management: The Wisconsin experiences. - In: Halls L.K. (Ed.); White-tailed Deer Ecology andManagement. Wildlife Management Institute, Stackpole Books, Harrisburg, Pennsylvania, USA, pp. 243-260.
13. Daniels M.J. 2006: Estimating red deer Cervus elaphus populations: An analysis of variation andcost-effectiveness of counting methods. -Mammal Review 36(3): 235-247. (Pubitemid 44740900)
14. Diefenbach D.R. 2005: The ability of aerial surveys using thermal infrared imagery to detect changes in abundance ofwhite-tailed deer on Pennsylvania state forests. - Report submitted to Department of Conservation and Natural Resources, Bureau of Forestry, Pennsylvania. Pennsylvania Cooperative Fish and Wildlife Research Unit, University Park, Pennsylvania, USA, 22 pp.
15. Drake D., Aquila C. &Huntington G. 2005: Counting a suburban deer population using forward-looking infrared radar and road counts. - Wildlife Society Bulletin 33(2): 656-661. (Pubitemid 41494867)
16. Dunn W.C., Donnelly J.P. &Krausmann W.S. 2002: Using thermal infrared sensing to count elk in the southwestern United States. - Wildlife Society Bulletin 30(3): 963-967.
17. Forsyth D., Barker R., Morriss G. &Scroggie M. 2007: Modeling the relationship between fecal pellet indices and deer density. - Journal of Wildlife Management 71(3): 964-970.
18. Garel M., Bonenfant C., Hamann, J-L., Klein F. &Gaillard, J-M. 2010: Are abundance indices derived from spotlight counts reliable to monitor red deer Cervus elaphus populations? -Wildlife Biology 16(1): 77-84.
19. Garel M., Cugnasse, J-M., Loison A., Gaillard, J-M., Vuiton C. &Maillard D. 2005: Monitoring the abundance ofmouflon in South France. - European Journal of Wildlife Research 51: 69-76. (Pubitemid 40912367)
20. Garner D.L., Underwood H.B. &Porter W.F. 1995: The use of modern infrared thermography for wildlife population surveys. - Journal of Environmental Management 19(2): 233-238. (Pubitemid 26448086)
21. Graves H.B., Bellis E.D. &Knuth,W.M. 1972: Censusing white-tailed deer by airborne thermal infrared imagery. - Journal of Wildlife Management 36(3): 875-884.
22. Green S. 2006:Thermal imaging ofwhite-tailed deer: Spring 2006. - Report submitted to U.S. Army Corps of Engineers, Raystown Lake, Pennsylvania. Helicopter Applicators, Inc., Gettysburg, Pennsylvania, USA, 6 pp.
23. Haroldson B.S.,Wiggers E.P., Beringer J.,Hansen L.P.& McAninch J.B. 2003: Evaluation of aerial thermal imaging for detecting white-tailed deer in a deciduous forest environment. -Wildlife Society Bulletin 31(4): 1188-1197. (Pubitemid 38127022)
24. Hirth D.H. 1977: Social behavior of white-tailed deer in relation to habitat. -Wildlife Monographs 53: 1-55.
25. Jachmann H. 2002: Comparison of aerial counts with ground counts for large African herbivores. - Journal of Applied Ecology 39(5): 841-852.
26. Joly D.O., Samuel M.D., Langenberg J.A., Blanchong J.A.,Batha,C.A., Rolley,R.E.,Keane,D.P.&Ribic,C.A. 2006: Spatial epidemiology of chronic wasting disease in Wisconsinwhite-tailed deer. - Journal of WildlifeDiseases 42(3): 578-588. (Pubitemid 44873516)
27. Loison,A.,Appolinaire J., Jullien, J-M.&Dubray,D. 2006: Howreliable are total counts todetect trends inpopulation size of chamois Rupicapra rupicapra and R. pyrenaica? - Wildlife Biology 12(1): 77-88.
28. Ludwig J. 1981: Proportion of deer seen in aerial counts. - MinnesotaWildlife Research Quarterly 41: 11-19.
29. Malcolm K.D.,VanDeelen,T.R., Drake D.,Kesler,D.J.& VerCauteren K.C. 2010:Contraceptive efficacy of a novel intrauterine device (IUD) in white-tailed deer. - Animal Reproduction Science 117: 261-265.
30. Millspaugh J.J., Boyce M.S., Diefenbach D.R., Hansen L.P., Kammermeyer K. &Skalski J.R. 2006: An evaluation of the SAKmodel as applied inWisconsin. - Report to the Wisconsin Department of Natural Resources, Wisconsin, USA, 123 pp.
31. Moen A.N. 1974: Radiant temperature of hair surfaces. - Journal of Range Management 27: 401-403.
32. Morellet N., Gaillard, J-M., Hewison A.J.M., Ballon P., Boscardin Y.,Duncan P.,Klein F. &Maillard D. 2007: Indicators of ecological change: New tools for managing populations of large herbivores. - Journal of Applied Ecology 44(3): 634-643. (Pubitemid 46791185)
33. Naugle D.E., Jenks J.A. &Kernohan B.J. 1996: Use of thermal infrared sensing to estimate density ofwhite-tailed deer. - Wildlife Society Bulletin 24(1): 37-43.
34. O'Neil T.A., Bettinger P.,Marcot B.G., Luscombe B.W., Koeln G.T., Bruner H.J., Barrett C., Pollock J.A. &Bernatas S. 2005: Application of Spatial Technologies in Wildlife Biology. - In: Braun C.E. (Ed.); Techniques for Wildlife Investigations andManagement. 6th edition. The Wildlife Society, Bethesda,Maryland, USA, pp. 418-447.
35. Pinheiro J., Bates D.,DebRoy S., Sarkar D.&theRCore team 2008: Nlme: Linear and Nonlinear Mixed Effects Models. - R package version 3.1-90. Software.
36. Pollock K.H. & Kendall W.L. 1987: Visibility bias in aerial surveys: A review of estimation procedures. - Journal of Wildlife Management 51(2): 502-510.
37. Potvin F. &Breton L. 2005: Testing two aerial survey techniques on deer in fenced enclosures - visual doublecount and thermal infrared sensing. - Wildlife Society Bulletin 33(1): 317-325. (Pubitemid 40985078)
38. Prange S. &Barber J.A. 2008: Use of Thermal infrared sensing to survey deer in Ohio. - In: 2008 Ohio Wildlife Research Report. Ohio Department of Natural Resources, pp. 24-28.
39. R Development Core Team 2009: R: A language and environment for statistical computing. -RFoundation for Statistical Computing, Vienna, Austria. Available at: Http://www.R-project.org (Last accessed on 23 June 2009).
40. Rice C.G., Jenkins K.J. &Chang,W. 2009: A Sightability Model for Mountain Goats. - Journal of Wildlife Management 73(3): 468-478.
41. Rice W.R. &Harder J.D. 1977: Application of multiple aerial sampling to amark-recapture census ofwhite-tailed deer. - Journal of Wildlife Management 41(2): 197-206.
42. Rolley,R.E. 2009:White-tailed deer population status 2008. - In: Kitchell J. &Dhuey B. (Eds.); Wisconsin Wildlife Surveys. Wisconsin Department of Natural Resources, Madison, Wisconsin 19(2): 22-28. Available at: Http:// www.dnr.state.wi.us/org/l&/wildlife/harvest/reports/ wtaildeerpop08.pdf (Last accessed on 17May 2010).
43. Roseberry J.L.&Woolf,A. 1991:Acomparative evaluation of techniques for analyzing white-tailed deer harvest data. -Wildlife Monographs 117: 1-59.
44. Samuel M.D., Garton E.O., Schlegel M.W. &Carson R.G. 1987: Visibility bias during aerial surveys of elk in northcentral Idaho. - Journal of Wildlife Management 51(3): 622-630. (Pubitemid 19318972)
45. Skalski J.R., Millspaugh J.J. &Spencer R.D. 2005: Population estimation and biases in paintball, markresight surveys of elk. - Journal of Wildlife Management 69(3): 1043-1052. (Pubitemid 41681627)
46. Skuldt L.H. 2005: Influence of landscape pattern, deer density and deer harvest on white-tailed deer behavior in south-central Wisconsin. - M.Sc. thesis, University of Wisconsin,Madison, Wisconsin, USA, 137 pp.
47. Stoll R.J., Jr.,McClain,M.W., Clem J.C. &Plageman T. 1991:Accuracy of helicopter counts ofwhite-tailed deer in western Ohio farmland. - Wildlife Society Bulletin 19(3): 309-314.
48. Storm D.J. 2011: Chronic Wasting Disease in White-tailed Deer: Evaluation of Aerial Surveys; Age-estimation; and the Role Deer Density and Landscape in Disease Transmission. - PhD thesis, University ofWisconsin,Madison, Wisconsin, USA, 94 pp.
49. Tappe P.A., Kissell R.E. &McCammon E.E. 2003: Final report: Ground-based and aerial-thermal infrared imaging for estimating white-tailed deer population densities. - Report submitted to the Arkansas Game and Fish Commission, Little Rock, Arkansas, USA, 29 pp.
50. Udevitz M.S., Shults B.S., Adams L.G. &Kleckner C. 2006: Evaluation of aerial survey methods for Dall's Sheep. -Wildlife Society Bulletin 34(3): 732-740. (Pubitemid 44784508)
51. University of Michigan 2009: Edwin S. George Reserve home page. -Available at: Http://sitemaker.umich.edu/ esgr/home (Last accessed on 20 July 2009).