Education

Ph.D. 2005. Fishery and Wildlife Biology, Colorado State University, Fort Collins, CO.

M.S. 2001. Fishery and Wildlife Biology, Colorado State University, Fort Collins, CO.

B.S. 1999. Wildlife Biology, University of Montana, Missoula, MT.

Courses Taught

WILD 540 - Research Design

WILD 541 - Research Design Lab (Introduction to R)

Research Interests

My research interests focus on development and application of quantitative methods to ecological problems, primarily in wildlife population dynamics.  I strive to connect ecological theory to wildlife management problems and in doing so improve wildlife management and test ecological theory.  My work crosses a broad spectrum of taxa from rare seabirds to hunted ungulates.  My current projects include ungulate population dynamics modeling and population ecology of Kittlitz’s murrelets in Icy Bay, AK.

Prior to joining UM, I served as Biometrician for the Colorado Division of Wildlife for more than five years.  In that role I provided statistical support to both research and management biologists.  I developed an understanding of the types of quantitative support wildlife management agencies need and how to convey those ideas to wildlife managers.  I also work closely with wildlife management agencies to develop computer software that brings the forefront of quantitative methods to the fingertips of wildlife managers.

 

Publications

Journal articles published or in press

Google Scholar Profile

1. Sells, S. N., C. M. Costello, P. M. Lukacs, L. L. Roberts, and M. A. Vinks. 2023. Predicted connectivity pathways between grizzly bear ecosystems in Western Montana.  Biological Conservation 284:110199. https://doi.org/10.1016/j.biocon.2023.110199.
2. Schorr, R. A., K. A. Pitcher, R. A. Aldredge, and P. M. Lukacs. Accepted. Patterns of Florida bonneted bat occupancy at the northern extent of its range. Journal of Fish and Wildlife Management.
3. Helm, J., S. M. Gende, and P. M. Lukacs. 2023. Quantifying behavior and collision risk of humpback whales near large ships: implications for detection and avoidance.  Endangered Species Research 51: 115-126.
4. Sells, S. N., C. M. Costello, P. M. Lukacs, F. T. van Manen, M. Harldson, W. Kasworm, J. Teisberg, M. A. Vinks, and D. Bjornlie. 2023. Grizzly bear movement models predict habitat use for nearby populations. Biological Conservation 279:109940. https://doi.org/10.1016/j.biocon.2023.109940
5. Londe, D. W., A. K. Moeller, P. M. Lukacs, S. D. Fuhlendorf, C. A. Davis, R. D. Elmore, and M. C. Chitwood. 2023. Review of range-wide vital rates quantifies Eastern Wild Turkey population trajectory.  Ecology and Evolution https://onlinelibrary.wiley.com/doi/10.1002/ece3.9830
6. Sells, S. N., C. M. Costello, P. M. Lukacs, L. L. Roberts, and M. A. Vinks. 2022. Grizzly bear habitat selection across the Northern Continental Divide Ecosystem. Biological Conservation 276:109813 https://doi.org/10.1016/j.biocon.2022.109813.
7. Moeller, A. K., S. J. Waller, N. J. DeCesare, M. C. Chitwood, and P. M. Lukacs. 2023. Best practices to account for capture probability and viewable area in camera-based abundance estimation.  Remote Sensing in Ecology and Conservation 9:152-164. DOI: https://doi.org/10.1002/rse2.300
8. Ausband, D. E., P. M. Lukacs, M. Hurley, S. Roberts, K. Strickfaden, and A. K. Moeller. 2022. Estimating wolf abundance from cameras. Ecosphere 13 (2): e3933. https://doi.org/10.1002/ecs2.3933.
9. Ventura, F., J. P. Granadeiro, P. M. Lukacs, and P. Catry.  2021. Environment drives inter-annual variability of divorce rates in monogamous albatrosses.  Proceedings of the Royal Society, Series B 288: 20212112. https://doi.org/10.1098/rspb.2021.2112.
10. Bell, D. A., R. P. Kovach, C. C. Muhlfeld, R. Al-Chokhachy, T. J. Cline, D. C. Whited, D. A. Schmetterling, P. M. Lukacs, and A. R. Whiteley. 2021. Climate change and expanding invasive species drive widespread declines of native trout in the northern Rocky Mountains, USA. Science Advances 7:eabj5471.
11. Krohner, J. M., P. M. Lukacs, R. Inman, J. D. Sauder, J. A. Gude, C. Mosby, J. A. Coltrane, R. A. Mowry, and J. J. Millspaugh. 2022. Finding fishers: determining fisher occupancy in the Northern Rocky Mountains. Journal of Wildlife Management 86(2): e22162. DOI: 10.1002/jwmg.22162
12. Krohner, J., J. Sauder, R. Inman, J. Gude, P. Lukacs, and J. Millspaugh. 2021. In search of a ghost: a collaborative effort monitors fishers in the Northern Rockies.  Wildlife Professional 15(4): 33-36.
13. Moeller, A. K., and P. M. Lukacs. 2021. spaceNtime: an R package for estimating abundance of unmarked animals using camera-trap photographs. Mammalian Biology. https://doi.org/10.1007/s42991-021-00181-8
14. McDevitt, M. C., E. F. Cassirer, S. B. Roberts, P. M. Lukacs. 2021. A novel sampling approach to estimating abundance of a low-density and observable species. Ecosphere 12(11):e03815.
15. Dyck, M. G., P. M. Lukacs, J. V. Ware. 2021. Recovery from reduction: the M’Clintock Channel polar bear Subpopulation, Nunavut, Canada.  Arctic 74:509-524.
16. Ventura, F., P. M. Lukacs, J. P. Granadeiro, R. Matano, and P. Catry.  2021. Demographic responses to environmental change of the black-browed albatross, sentinel of the Patagonian Shelf Large Marine Ecosystem.  Marine Ecology Progress Series 668: 107-120.  http://dx.doi.org/10.3354/meps13743
17. Day, C. C., E. L. Landguth, R. K. Simmons, W. P. Baker, A. R. Whiteley, P. M. Lukacs, K. Davenport, and A. Bearlin. 2021. Evaluation of management factors affecting the relative success of a Brook Trout eradication program using YY male fish and electrofishing suppression.  Canadian Journal of Fisheries and Aquatic Sciences https://doi.org/10.1139/cjfas-2020-0433
18. Loonam, K. E., P. M. Lukacs, D. E. Ausband, M. S. Mitchell, and H. S. Robinson.  2021.  Assessing the robustness of time-to-event models for estimating unmarked wildlife abundance using remote cameras.  Ecological Applications doi: 10.1002/eap.2388.
19. Moeller, A. K., J. Nowak, L. Neufeld, M. Bradley, M. Manseau, P. Wilson, S. McFarlane, P. M. Lukacs, M. Hebblewhite. 2021. Integrating counts, telemetry, and non-invasive DNA data to improve demographic monitoring of an endangered species. Ecosphere https://doi.org/10.1002/ecs2.3443.
20. Loonam, K. E., D. E. Ausband, P. M. Lukacs, M. S. Mitchell, and H. S. Robinson.  2020. Estimating abundance of an unmarked, low-density species using camera traps.  Journal of Wildlife Management 85: 87–96.
21. Lukacs, P. M., D. Evans Mack, R. Inman, J. A. Gude, J. S. Ivan, R. P. Lanka, J. C. Lewis, R. A. long, R. Sallabanks, Z. Walker, S. Courville, S. Jackson, R. Kahn, M. K. Schwartz, S. C. Torbit, J. S. Waller, and K. Carroll.  2020. Wolverine occupancy, spatial distribution, and monitoring design. Journal of Wildlife Management 84: 841–851.
22. Monterroso, P., F. Diaz-Ruiz, P. M. Lukacs, P. C. Alves, and P. Perreras. 2020. Ecological traits and the spatial structure of competitive coexistence among carnivores.  Ecology 101(8):e03059. 10.1002/ecy.3059.
23. Day, C., E. Landguth, R. Simmons, B. Baker, A. Whiteley, P. M. Lukacs, and A. Bearlin. 2020. Simulating effects of fitness and dispersal on the use of Trojan sex chromosomes for invasive species management. Journal of Applied Ecology 57: 1413-1425.
24. Bergman, E. J., F. P Hayes, P. M. Lukacs, and C. J. Bishop.  2020. Moose calf detection probabilities: quantification and evaluation of a ground-based survey technique. Wildlife Biology doi: 10.2981/wlb.00599.
25. Lonsinger, R. C., P. M. Lukacs, E. M. Gese, and L. P. Waits. 2019. Empirical comparisons of abundance estimators for two sympatric carnivores using noninvasive genetic sampling. Wildlife Biology doi: 10.2981/wlb.00534.
26. Bassing, S. B., D. E. Ausband, M. S. Mitchell, P. M. Lukacs, A. Keever, G. Hale, and L. Waits.  2019.  Stable pack abundance and distribution in a harvested wolf population.  Journal of Wildlife Management 87: 577-590.
27. Tabak, M. A., N. S. Norouzzadeh, D. W. Wolfson, S. J. Sweeney, K. C. Vercauteren, N. P. Snow, J. M. Halseth, P. A. Di Salvo, J. S. Lewis, M. D. White, B. Teton, J. C. Beasley, P. E. Schlichting, R. K Boughton, B. Wrightm E. S. Newkirk, J. S. Ivan, E. A. Odell, R. K. Brook, P. M. Lukacs, A. K. Moeller, E. G. Mandeville, J. Clune, R. S. Miller. 2019. Machine learning to classify animal species in camera trap images: applications in ecology.  Methods in Ecology and Evolution. 10: 585-590.
28. Moeller, A. K, P. M. Lukacs, and J. S. Horne. 2018. Three novel methods to estimate abundance of unmarked animals using remote cameras. Ecosphere 9(8):e02331. 10.1002/ecs2.2331.
29. Jędrzejewski, W., H. S. Robinson, M. Abarca, K. A. Zeller, G. Velasquez, E. Paemelaere, J. F. Goldberg, E. Payan, R. Hoogesteijn, E. O. Boede, K. Schmidt, M. Lampo, Á. L. Viloria, R. Carreño, N. Robinson, P. M. Lukacs, J. J. Nowak, R. Salom-Pérez,  F. Castañeda, V. Boron, H. Quigley. 2018. Estimating large carnivore populations at global scale based on spatial predictions of density and distribution – application to the jaguar (Panthera onca). PlosONE 13(3): e0194719.
30. Lonsinger, R. C., P. M. Lukacs, E.M. Gese, R.N. Knight, and L.P. Waits. 2018.  Estimating densities for sympathetic kit foxes (Vulpes macrotis) and coyotes (Canis latrans) using noninvasive genetic sampling.  Canadian Journal of Zoology 96:1080-1089.
31. Nowak, J. J., P. M. Lukacs, M. A. Hurley, A. J. Lindbloom, K. A. Robling, J. A. Gude, and H. Robinson. 2018. Customized Software to Streamline Routine Analyses for Wildlife Management. Wildlife Society Bulletin 42: 144-149.
32. Barfoot, C. A., L. A. Evarts, and P. M. Lukacs. 2018. Long-term trends in abundance and size of sport fishes in the Flathead River, Montana, following changes in hydroelectric dam operations. Northwest Science 92: 92-106.
33. Lukacs, P. M., M. S. Mitchell, M. Hebblewhite, B. K. Johnson, H. Johnson, M. Kauffman, K. M. Proffitt, P. Zager, K. Hersey, A. A. Holland, M. Hurley, S McCorquodale, A. Middleton, M. Nordhagen, J. J. Nowak and D. P. Walsh. 2017. Factors Influencing Elk Recruitment across Three Ecotypes in the Western USA. Journal of Wildlife Management 81: 364-378.
34. Woodruff, S. P., P. M. Lukacs, and L. P. Waits. 2018. Comparing performance of multiple noninvasive genetic capture-recapture methods for abundance estimation: a case study from Sonoran pronghorn.  Oryx doi:10.1017/S003060531800011X.
35. Steenweg, R., M. Hebblewhite, J. Whittington, P. M. Lukacs, and K. McKelvey. 2018. Sampling scales define occupancy and underlying occupancy-abundance relationships in animals. Ecology 99: 172-183.
36. Oyler-McCance, S. J., J. A. Fike, P. M. Lukacs, D. W. Sparks, T. J. O’Shea, J. O. Whitaker Jr. 2017. Genetic mark-recapture improves estimates of maternity colony size for Indiana bats. Journal of Fish and Wildlife Management 9: 25-35.
37. Pavlacky, D. C., P. M. Lukacs, J. A. Blakesley, R. C. Skorkowsky, D. S. Klute, B. A. Hahn, V. J. Dreitz, T. L. George, and D. J. Hanni. 2017. A statistically rigorous sampling design to integrate avian monitoring and management within Bird Conservation Regions.  PlosONE 12 (10) e0185924.
38. Henderson, C R., M. S. Mitchell, W. L. Myers, P. M. Lukacs, and G. P. Nelson. 2018. Seasonal home range attributes influence choice of migratory in white-tailed deer. Journal of Mammalogy 99: 89-96.
39. Hurley, M. A., M. Hebblewhite, P. M. Lukacs, J. J. Nowak, J.-M. Gaillard, C. Bonefant. 2017. Generality and precision of regional-scale models for predicting overwinter survival of juvenile ungulates.  Journal of Wildlife Management 81: 364-378. Selected as the feature article for the April 2017 issue.
40. Eacker, D. R., P. M. Lukacs, K. M. Proffitt, and M. Hebblewhite. 2017. Assessing the importance of demographic parameters for population dynamics using Bayesian integrated population modeling. Ecological Applications 27:1280-1293.
41. Dreitz, V. J., L. T. Stinson, B. A. Hahn, J. D. Tack, and P. M. Lukacs. 2017 A large-scale perspective for managing prairie avifauna assemblages across the western US: influences of habitat landownership and latitude.  PeerJ 5 e2879.
42. Borg, N. J., M. S. Mitchell, P. M. Lukacs, C. M. Mack, L. P. Waits, P. R. Krausman. 2017. Behavioral connectivity among groups of bighorn sheep suggests potential for disease spread. Journal of Wildlife Management 81: 38-45.
43. Lipsey, M. K., D. E. Naugle, J. J. Nowak, and P. M. Lukacs. 2017. Extending utility of hierarchical models to multi-scale habitat selection. Diversity and Distributions 23: 783-793.
44. McCaffery, R. M. and P. M. Lukacs. 2016. A generalized integrated population model to estimate greater sage-grouse population dynamics.  Ecosphere 7(11):e01585. 10.1002/ecs2.1585.
45. Williams, S. H., S. M. Gende, P. M. Lukacs, and K. Webb. 2016. Factors affecting whale detection from large ships in Alaska with implications for whale avoidance. Endangered Species Research 30: 209-223.
46. McCaffery, R. M., J. J. Nowak, and P. M. Lukacs. 2016. Improved analysis of lek count data using N-mixture models. Journal of Wildlife Management 80: 1011-1021.
47. Steenweg, R., J. Whittington, M. Hebblewhite, A. Forshner, B. Johnston, D. Petersen, B. Shepherd and P. M. Lukacs. 2016. Camera-based occupancy monitoring at large scales: power to detect trends in grizzly bears across the Canadian Rockies. Biological Conservation 201: 192-200.
48. Kissling, M. K., S. B. Lewis, P. M. Lukacs, J. N. Waite, and S. M. Gende. 2016. Breeding decisions of Kittlitz’s murrelets, Icy Bay, Alaska.  Marine Ornithology 44: 171-182.

 

66.lrs, . M., . E. li, H. . Crokt, . . ruc, .M.us,d R. . iptrick. 2014.rirs impedeupstrem swningmton oflahd hub. Tnstons of theAmrinisheies So.

67.Mils, . ., M.iov,. lr, S. unnin, . Abtolou, and P.M.Luks.2013. mouflgemstch in ssonal t color dueo dresd snow drt. rodis of theNtonl Ayf Scins110: 73607365. Featured on the cover of PNAS April 30, 2013.

68.rodi, ., H. ohnson,M. Mtchl, . r, .rofitt, . Hbblehi, M. Kufmn, . ohnson,. isont, C. ishop, . Gud, . rbrt, .Hr, M. Hrl, P. M.uks, . McCoqudle, E.Mnt, . Nok, H. Sar, . mth, and ..hi.201. Rlatieinflunef humn hvst, crnivos, andtheron dultmalelk survil aross sten Noth Ari.  ournl of ppld Eoloy50: 29305.

69.vla, D. C., . A. laksl, G. C. hi, D. . Hnni, and P. M. us.2012. Hirhicl ulsleoupyormontorigwildifepopulations.  ournl ofidlfeMagment.76:15162

70.uks, . M., . A. ud, R. E. ussell, and .B. Akrmn. 2011.  Evutngos- ficiyndryofhunterhrst uvydsins.  idlfeoiety ultn 35: 43–437.

71.n, E. ., . E. tkns, .. isho, . M. uk, nd M.ld. 201. iooil and soionomc fts of statwie liiton of dr licnsin Colordo.  ournl of ldifeMament75: 443–1452.

72.Kissin, M., . M.ks, . .wis, . M. Gnd, K. . Kult, N. R. Hh, . K. hon, nd . Ohlrs.2011. Distribution, bundn,nd hgs in populations of the iti’s Murlet in outhest Alska.MaieOniholoy 39: 3–11.

73.uks, . M., M..Kissin, M. id, . M. Gnd, nd . .wis. 210.  Tstng ssuptons of distnesamplingon alic sbird.  Condor112: 45–459.

74.olf,.., . M. onr, C..idl, .M. uks, andM. . Milr.201. letliverminelontrtons ndhonc stngdiseestatus inmule dr rom nothcnl olordo.  ournl of ilfeDisss46: 102–034.

75.Dvineu, O.,T. M. hnk, G. C. hi, . . Dohryr., P. M.us, nd R. H. Khn.  2010. Evluatig the nxinroduton rogmein olordo: trns in otali.  ournl ofAppliedEoloy47: 52–531.  Paper selected as the Editor’s Choice for the issue.

76.uks, . M., K. P. unhm, and . R. Andrsn.2010. Model sletonbias nd redmans rdo.  Annls of thensttueof Sttstl Mathemts:pial sseof M in Hnorof D. Hirotu Aike.2: 11–125. Cited >100 times

77.uks, . M., G. C. hte, . E. tkns, . H. hn, .A. Bnuls, D. J. in, A. . Holland, . A. Mrtns, ad . Vhinge. 2009. prtgomponts of vriton in suvival ofule dr in Coodo.  ornl of idlfeMament 73: 817–826.

78.Dhr, . ., G. . M. osa, P. M.uks, K. T.ribnr, nd . R. inrstin.2009. ntraton btwngnpigrornd submpingnoinvasive ir smps fts estmats of blkbr bunn. ournl of idlfeMagment73: 1184–1188.

79.hor, R. A., . M.us, andG..lont. 2009. oymass nd winr svriys pdictos of orinrsurvivl n rbles ow jumpn.  ournl of Mammaloy90: 1–24.

80.Milr, M. ., H. M. Snson,.. olf, . G.Qutaon, .. Hwr,C. H. outhwick, nd . M.ks. 2008. ionsnd rions nd drdmse.  oS OE 3: e4019. http://dx.plos.org/10.1371/journal.pone.0004019

81.isop, C. ., G. C.hi, nd . M.us. 20.  Evluatingpndemog muedr siblns in tl and nontal survivlnss. ournl of idlfe Manament 72:1085–093.

82.Go, ..,D. . Matn, . M.uks,nd M.. Milr.  208.  pidmc psteulosisin a bihn shp populationoinidngwith heppreofa domesticshe.  ournl of idlfeDisss 44: 38–403.

83.uks, . M.,. . ggrt, nd K. P. rnhm. 2007.  Estmatingpopulton sierom dunsd DA ptrrptureta.  idlfeiooyin rate3: –92.

84.Kissin, M. K., M. Rid, . M.uks, . M. d, nd . .wis.207. Undrstndigbunneptrns ofadlnig sbird:  impictons for montorin.  EoliclApplictons17: 2164–2174.

85.hor, R. A, .. iemrs, P. M.uks, . R. vl, R. .Rondu, . .Gionriddo, nd M. . undr.  20.Coprisons of pirierodnt survival in ric shrublnds of soutnl olordo.  outhwst Nturlst 54:55–563.

86.Dhr, . ., . R. inrstin, K. T. Sribnr, P. M.uks, D. R. Ette,G. . M. osa, V. .op, .ibants nd K. .ik.2007. oninvasive stmation ofblak br bunnein Michin iopotng gnopingros andrstedbrs. ournl of ilfeMant71: 2684–2693.

87.uks, . M.2007. Dvlopnt and nsisf joint inrntelphonehunter survs.  HumanDimenions of Widlfe12:263273.

88.uks, . M., .. Tompson, . R. Gould,.. ndl, . . Dory., K. . unhm,nd D. R. Anrson.  2007.  Conrnsgrdigallorplulsm. ournl of ppld Eoloy44: 456–460.

89.Di, V. ., . M. uks, and..Knop. 20.  Monitoringlow dnsiyvn speies: the mpeofMountin loves. Condor108: 700–706.

90.tenhof,K., . K.te, M. . ulr, M. . Kohrt, . O. MKinl,nd. M. uks.  2006. Efts f dio rkigonpire lcons: atthment ius povide insihts about srvivl.  idlfeoieyultn34: 116–126.

91.uks, . M., nd K. .unhm. 2005.  viw ofptuepturethods pplble to Dbsdnoninvasive smpin. MolularEoly14: 90–3919.

92.uks, . M, nd K. P.unhm. 2005.  Estmtngpopulation serom Nbd losed population cptue–rptureta inoptng nopigro.  ournl ofidlfeMagment69: 396–403.

93.uks, . M., D. R. Anrson, nd K. P.unhm. 2005.  Evluation of trppinwb dsins.  idlfeRsh32: 103–110.

94.Coon, . ., A. . Covh, . M.uks, A..Hr, nd K.D. usch. 200. Modeling lobal wrmingsnrios innbkuthot routOnchorhynchus clarki stomias:  mpictons forspeies o. esten Noth Amein Nturlst 65:37–381.

95.uks, . M., V. . Di, .. Knop,nd K. P.unhm.  2004.  Esitngsurvivl pobbiiies ofunmakd dpndntougwndteton is iprt.  ondor 106: 927–932.

96.Ellnson, A. R, nd . M.uks. 2003. mprvingmethods forreionl ndbird montorin: a pyto Hto d Youn. idlfeoieyultn31: 89–902.

97.uks, . M. 2002.  bi: iulation sotwreto assist n trppingb dsi. idlfeoieyultn30: 1259–1261.

 

Book chapters

98.Lukacs, P. M. and J. J. Nowak. 2023. Modeling populations dynamics of black-tailed and mule deer. Pages 95-102 in: Ecology and Management of Black-tailed and Mule Deer of North America. J. Heffelfinger and P. Krausman (eds.). CRC Press.

99.Nowak, J. J., M. A. Hurley, P. M. Lukacs, D. Walsh, and C. L. White. 2023.  Population monitoring. Pages: 291-306. in: Ecology and Management of Black-tailed and Mule Deer of North America. J. Heffelfinger and P. Krausman (eds.). CRC Press.

100.Hebblewhite, M., M. A. Hurley, P. M. Lukacs, and J. J. Nowak. 2018. Predicting mule deer harvests in real time: integrating satellite remote sensing measures of forage quality and climate in Idaho, United States. Pages 194-228. In: Satellite remote sensing for conservation action: case studies from aquatic and terrestrial ecosystems. A. K. Leidner and G. M. Buchanan (eds.).

101.uks, . M. nd V. . Di. 2009.  Youngsuvival rom mrkduls. In: A gentle introduction to MARK. E. . Cooh nd G. C. hieds). http://www.phidot.org/software/mark/docs/book/

102.uks, . M., K. P. unhm, . . Dr, . . ribnr, nd . R. inrstin. 2008. Etendingthe obust dsin fr DNbsdptureptuedta inrpotng nopigrornd mutple dta sou.  gs71726.  In: Modeling Demographic Processes in Marked Populations: Environmntal nd Eolil tatisics, Vol. 3 Thomsn, Dvid.; ooh, Evn G.; Conr, Mil. Eds.).

103.R, . A., . R. tanl,nd . M.uks. 20.  tatisicl odlngnd infne fom crnivresurydta.ps. 293312In: Noninvasive survey methods for North American carnivores. . A.o, . M, . C. ynd. . ielinki (ds).sland Pss, shinton D. C., USA

104.uks, . M.2005.  losed population cpturptuemodels. In: A gentle introduction to MARK. E. . Cooh nd G. C. hie (ds). http://www.phidot.org/software/mark/docs/book/

105.uks, . M., A. .kln, nd D. R. Andrsn.  2004.  ssvepproahs to dteton in dstanesapln. ps 26–280,In: Advanced distance sampling. . T. ukland, . R. Adrson, . . unm, ..k,D.. rhs, and . Thomas(ds). fodUnivrsiyss,Ofod, U..

49.

50.DeCesare, N. J., M. Hebblewhite, P. M. Lukacs, D. Hervieux. 2016. Evaluating common sources of censoring and truncation in telemetry-based survival data. Journal of Wildlife Management 80: 138-148.

51.Lukacs, P. M., A. Seglund, S. Boyle. 2015. Effects of Gunnison Sage-Grouse habitat treatment efforts on associated avifauna and vegetation structure. Avian Conservation and Ecology 10:7 http://dx.doi.org/10.5751/ACE-00799-100207.

52.Goldberg, J. F., T. Tempa, N. Norbu, M. Hebblewhite, L. S. Mills, T. Wangchuk and P. M. Lukacs. 2015. Examining temporal sample scale and model choice with spatial capture-recapture models in the common leopard, Panthera pardus. PlosONE 10 e0140757. doi:10.1371/journal.pone.0140757.

53.Schaefer, A. L., P. M. Lukacs, and M. L. Kissling. 2015. Testing factors influencing identification rates of similar species during abundance surveys.  Condor 117: 460-472.

54.Riordan, M. M., P. M. Lukacs, K. P. Hayveart, and V. J. Dreitz. 2015. Does the skewed sex ratio in the Mountain Plover population begin in the early life stages? Avian Conservation and Ecology 10(2):3. http://dx.doi.org/10.5751/ACE-00772-100203.

55.Divoky, G. J., P. M. Lukacs, and M. L. Druckenmiller. 2015. Effects of recent decreases in arctic sea ice on an ice-associated marine bird. Progress in Oceanography – Synthesis of Arctic Research. 136: 151-161.

56.Kissling, M. L., S. M. Gende, S. B. Lewis, and P. M. Lukacs. 2015. Reproductive performance of Kittlitz's Murrelet in a glaciated landscape landscape, Icy Bay, Alaska, USA.  Condor 117: 237-248.

57.Proffitt, K. M., N. Anderson, P. M. Lukacs, M. M. Riordan, J. A. Gude, J. Shamhart. 2015. Effects of elk density on elk aggregation patterns and exposure to brucellosis.  Journal of Wildlife Management 79: 373-383.

58.Sells, S. N., M. S. Mitchell, J. J. Nowak, P. M. Lukacs, N. J. Anderson, J. M. Ramsey, J. A. Gude, and P. R. Krausman. 2015. Modeling Risk of Pneumonia Epizootics in Bighorn Sheep. Journal of Wildlife Management. Journal of Wildlife Management 79: 195-210. Featured on the cover of JWM February 2015.

Kissling, M. L., P. M. Lukacs, S. M. Gende, S. B. Lewis. 2015. Multi-state mark-recapture model to estimate survival of a dispersed-nesting seabird, the Kittlitz’s Murrelet. Journal of Wildlife Management. 79: 20-30. Schorr, R. A., P. M. Lukacs, J. A. Gude. 2014. The Montana deer and elk hunting population: the importance of cohort group, license price, and population demographics on hunter retention, recruitment, and population change. Journal of Wildlife Management 78: 944–952. Whittington, J., K. Heuer, B. Hunt, M. Hebblewhite, and P. M. Lukacs. 2014. Estimating occupancy using spatially and temporally replicated snow surveys. Animal Conservation 18: 92-101. Schorr, R. A., L. E. Ellison, and P. M. Lukacs. 2014. Efficacy of bat banding studies to estimate decline of migratory bat populations. Acta Chiropterologica 16: 231-239. Zimova, M., L. S. Mills, P. M. Lukacs, and M. S. Mitchell. 2014. Snowshoe hares display limited phenotypic plasticity to mismatch in seasonal camouflage. Proceedings of the Royal Society B 281: 20140029.  Featured on the cover of PRSB May 7, 2014 Nehring, R. B., P. M. Lukacs, D. V. Baxa, M. E. T. Stinson, B. Poole, and A. Horton. 2014. Susceptibility to Myxobolus cerebralis among Tubifex tubifex populations from ten major drainage basins in Colorado where cutthroat trout are endemic. Journal of Aquatic Animal Health 26: 19-32. Devineau, O., W. L. Kendall, P. F. Doherty Jr., T. M. Shenk, G. C. White, and P. M. Lukacs. 2014. Increased flexibility for modelling telemetry and nest survival data using the multistate framework.  Journal of Wildlife Management 78: 224-230.

Affiliations

Wildlife Biology Program