The efficacy of obtaining genetic-based identifications from putative wolverine snow tracks

Wildlife Society Bulletin

Volumn 34, Issue 5, 2006, Pages 1326-1332

  Ulizio, Todd J ^a   Squires, John R ^b   Pletscher, Daniel H ^a   Schwartz, Michael K ^b   Claar, James J ^c   Ruggiero, Leonard F ^b  

^a UNIVERSITY OF MONTANA   (United States)

^b USDA Forest Service Forestry Science Lab   (United States)

^c USDA FOREST SERVICE   (United States)

Author keywords

Detection; Gulo gulo; mtDNA; nDNA; Occurrence; Snow tracks; Survey method; Wolverine

Indexed keywords

DETECTION METHOD; GENETIC ANALYSIS; GENETIC DIFFERENTIATION; MITOCHONDRIAL DNA; MUSTELID; POPULATION ESTIMATION; SPECIES OCCURRENCE; SURVEYING;

GULO GULO;

EID: 33846816974     PISSN: 00917648     EISSN: None     Source Type: Journal    
DOI: 10.2193/0091-7648(2006)34[1326:TEOOGI]2.0.CO;2     Document Type: Review

References (45)

1. Alpers, D. L., A. C. Taylor, P. Sunnucks, S. A. Bellman, and W. B. Sherwin. 2003. Pooling hair samples to increase DNA yield for PCR. Conservation Genetics 4:779-788.
2. Beauvais, G. P., and S. W. Buskirk. 1999. An improved estimate of trail detectability for snow-trail surveys. Wildlife Society Bulletin 27:32-38.
3. Bellemain, E., J. E. Swenson, D. Tallmon, S. Brunberg, and P. Taberlet. 2005. Estimating population size of elusive animals with DNA from hunter-collected feces: four methods for brown bears. Conservation Biology 19:150-161.
4. Davis, C. S., and C. Strobeck. 1998. Isolation, variability, and cross-species amplification of polymorphic microsatellite loci in family mustelidae. Molecular Ecology 7:1776-1778.
5. DeCesare, N. J., J. R. Squires, and J. A. Kolbe. 2005. Effect of forest canopy on GPS-based movement data. Wildlife Society Bulletin 33:935-941.
6. D'Eon, R. G. 2001. Using snow-track surveys to determine deer winter distribution and habitat. Wildlife Society Bulletin 29:879-887.
7. D'Eon, R. G., R. Serrouya, G. Smith, and C. O. Kochanny. 2002. GPS radiotelemetry error and bias in mountainous terrain. Wildlife Society Bulletin 30:430-439.
8. Duffy, A. J., A. Landa, M. O'Connell, C. Stratton, and J. M. Wright. 1998. Four polymorphic microsatellites in wolverine, Gulo gulo. Animal Genetics 29:63.
9. Eggert, L. S., J. A. Eggert, and D. S. Woodruff. 2003. Estimating population sizes for elusive animals: the forest elephants of Kakum National Park, Ghana. Molecular Ecology 12:1389-1482.
10. Ernest, H. B., C. T. Penedo, B. P. May, M. Syvanen, and W. M. Boyce. 2000. Molecular tracking of mountain lions in the Yosemite Valley region in California: genetic analysis using microsatellites and faecal DNA. Molecular Ecology 9:433-441.
11. Flagstad, O., E. Hedmark, A. Landa, H. Broseth, J. Persson, R. Andersen, P. Segerstrom, and H. Ellegran. 2004. Colonization history and noninvasive monitoring of a reestablished wolverine population. Conservation Biology 18:676-688.
12. Foran, D. R., K. R. Crooks, and S. C. Minta. 1997a. Species identification from scat: an unambiguous genetic method. Wildlife Society Bulletin 25:835-839.
13. Foran, D. R., S. C. Minta, and K. S. Heinemeyer. 1997b. DNA-based analysis of hair to identify species and individuals for population research and monitoring. Wildlife Society Bulletin 25:840-847.
14. Frair, J. L., S. E. Nielson, E. H. Merrill, S. R. Lele, M. S. Boyce, R. H. M. Munro, G. B. Stenhouse, and H. L. Beyer, 2004. Removing GPS collar bias in habitat selection studies. Journal of Applied Ecology 41:201-212.
15. Frantzen, M. A. J., J. B. Silk, J. W. H. Ferguson, R. K. Wayne, and M. H. Kohn. 1998. Empirical evaluation of preservation methods for faecal DNA. Molecular Ecology 7:1423-1428.
16. Gagneux, P., C. Boesch, and D. S. Woodruff. 1997. Microsatellite scoring errors associated with noninvasive genotyping based on nuclear DNA amplified from shed hair. Molecular Ecology 6:861-868.
17. Goossens, B., Z. B. Abdullah, J. B. Sinyor, and M. Acrenaz. 2004. Which nests to choose: collecting shed hair from wild orangutans. Folia Primatologica 75:23-26.
18. Goossens, B., L. P. Waits, and P. Taberlet. 1998. Plucked hair samples as a source of DNA: reliability of dinucleotide microstellite genotyping. Molecular Ecology 7:1237-1241.
19. Halfpenny, J. C., R. W. Thompson, S. C. Morse, T. Holden, and P. Rezendes. 1995. Snow tracking. Pages 91-124 in W. J. Zielinski and T. E. Kucera, technical editors. American marten, fisher, lynx, and wolverine: survey methods for their detections. U.S. Forest Service, Pacific Southwest Research Station, Albany, California, USA.
20. Hedmark, E., O. Flagstad, P. Segerstrom, J. Persson, A. Landa, and H. Ellegren. 2004. DNA-based individual and sex identification from wolverine (Gulo gulo) faeces and urine. Conservation Genetics 5:405-410.
21. Jenness, J. 2004. Surface Tools (surf_tools.avx) extension for ArcView 3.x, Version 1.5. Jenness Enterprises, Flagstaff, Arizona, USA.
22. Kohn, M. H., and R. K. Wayne. 1997. Facts from feces revisited. Trends in Ecology and Evolution 12:222-227.
23. McKelvey, K. S., and M. K. Schwartz. 2004. Genetic errors associated with population estimation using non-invasive molecular tagging: problems and new solutions. Journal of Wildlife Management 68:439-448.
24. McKelvey, K, S., J. von Kienast, K. B. Aubry, G. M. Koehler, B. T. Maletzke, J. R. Squires, E. L. Lindquist, S. Loch, and M. K. Schwartz. 2006. DNA analysis of hair and scat collected along snow tracks to document the presence of Canada lynx. Wildlife Society Bulletin 34:451-455.
25. Mielke, P. W., Jr., K. J. Berry, and G. W. Brier. 1981. Application of multi-response permutation procedures for examining seasonal changes in monthly mean see-level pressure patterns. Monthly Weather Review 109:120-126.
26. Mills, L. S., J. J. Citta, K. P. Lair, M. K. Schwartz, and D. A. Tallmon. 2000a. Estimating animal abundance using noninvasive DNA sampling: promise and pitfalls. Ecological Applications 10:283-294.
27. Mills, L. S., K. L. Pilgrim, M. K. Schwartz, and K. S. McKelvey. 2000b. Identifying lynx and other North American felids based on mtDNA analysis. Conservation Genetics 1:285-288.
28. Mowat, G., and D. Paetkau. 2002. Estimating marten (Martes martes) population size using hair capture and genetic tagging. Wildlife Biology 8:201-209.
29. Mowat, G., and C. Strobeck. 2000. Estimating population size of grizzly bears using hair capture, DNA profiling, and mark-recapture analysis. Journal of Wildlife Management 64:183-193.
30. Navidi, W., N. Arnheim, and M. S. Waterman. 1992. A multiple-tubes approach for accurate genotyping of very small DNA samples by using PCR: statistical considerations. American Journal of Human Genetics 50:347-359.
31. Palomares, F., J. A. Godoy, A. Piriz, S. J. Obrien, and W. E. Johnson. 2002. Faecal genetic analysis to determine the presence and distribution of elusive carnivores: design and feasibility for the Iberian lynx. Molecular Ecology 11:2171-2182.
32. Prugh, L. R., and C. E. Ritland. 2005. Molecular testing of observer identification of carnivore feces in the field. Wildlife Society Bulletin 33:189-194.
33. Reed, J. Z., D. J. Tollit, P. M. Thompson, and W. Amos. 1997. Molecular scatology: the use of molecular genetic analysis to assign species, sex and individual identity to seal faeces. Molecular Ecology 6:225-234.
34. Riddle, A. E., K. L. Pilgrim, L. S. Mills, K. S. McKelvey, and L. F. Ruggiero. 2003. Identification of mustelids using mitochondrial DNA and non-invasive sampling. Conservation Genetics 4:241-243.
35. Schwartz, M. K., K. L. Pilgrim, K. S. McKelvey, E. L. Lindquist, J. J. Claar, S. Loch, and L. F. Ruggiero. 2004. Hybridization between Canada lynx and bobcats: genetic results and management implications. Conservation Genetics 5:349-355.
36. Sloane, M. A., D. Sunnucks, L. B. Alpers, L. B. Beheregaray, and A. C. Taylor. 2000. Highly reliable genetic identification of individual northern hairy-nosed wombats from single remotely collected hairs: a feasible censusing method. Molecular Ecology 9:1233-1240.
37. Squires, J. R., K. S. McKelvey, and L. F. Ruggiero. 2004. A snow-tracking protocol used to delineate local lynx, Lynx canadensis, distribution. Canadian Field Naturalist 118:583-589.
38. Squires, J. R., D. P. Pletscher, T. J. Ulizio, and L. F. Ruggiero. 2006. The association between landscape features and transportation corridors on movements and habitat-use patterns of wolverines. Montana Department of Transportation Final Report # 8171, Helena, USA.
39. Taberlet, P., J. J. Camarra, S. Griffin, E. Uhres, O. Hanotte, L. P. Waits, C. Dubois-Paganon, T. Burke, and J. Bouvet. 1997. Noninvasive genetic tracking of the endangered Pyrenean brown bear population. Molecular Ecology 6:869-876.
40. Taberlet, P., S. Griffin, B. Goossens, S. Questiau, V. Manceau, N. Escaravage, L. P. Waits, and J. Bouvet. 1996. Reliable genotyping of samples with very low DNA quantities using PCR. Nucleic Acids Research 15:3189-3194.
41. Taberlet, P., L. P. Waits, and G. Luikart. 1999. Noninvasive genetic sampling: look before you leap. Trends in Ecology and Evolution 14:323-327.
42. Thompson, I. D., J. J. Davidson, S, O'Donnell, and F. Brazeau. 1981. Use of track transects to measure the relative occurrence of some boreal mammals in uncut forest and regeneration stands. Canadian Journal of Zoology 67:1816-1823.
43. Waits, L. P., G. Luikart, and P. Taberlet. 2001. Estimating the probability of identity among genotypes in natural populations: cautions and guidelines. Molecular Ecology 10:249-256.
44. Woods, J. G., D. Paetkau, D. Lewis, B. N. McLellan, M. Proctor, and C. Strobeck. 1999. Genetic tagging of free-ranging black and brown bears. Wildlife Society Bulletin 27:616-627.
45. Zimmerman, G. M., H. Goetz, and P. W. Mielke Jr. 1985. Use of an improved statistical method for group comparison to study effects of prairie fire. Ecology 66:606-611.