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Published November 18, 2015 | Version v1
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Spatiotemporal factors affecting detection of black bears during noninvasive capture-recapture surveys

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Wilton, Clay M., Beringer, Jeff, Puckett, Emily E., Eggert, Lori S., Belant, Jerrold L. (2016): Spatiotemporal factors affecting detection of black bears during noninvasive capture-recapture surveys. Journal of Mammalogy 97 (1): 266-273, DOI: 10.1093/jmammal/gyv176, URL: https://www.mendeley.com/catalogue/20a18be9-9eaf-379a-8333-e23967e5b457/

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urn:lsid:plazi.org:pub:FFC16A70974ACA141537FFCFFFEAFF89

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Figure: 10.5281/zenodo.10632552 (DOI)
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References

  • BALDWIN, R. A., AND L. C. BENDER. 2012. Estimating population size and density of a low-density population of black bears in Rocky Mountain National Park, Colorado. European Journal of Wildlife Research 58:557-566.
  • BATES, D., M. MAECHLER, B. BOLKER, AND S. WALKER. 2013. lme4: linear mixed-effects models using Eigen and S4. R package version 1.0-5. http://CRAN.R project.org/package=lme4. Accessed 10 January 2014.
  • BELANT, J. L., D. R. ETTER, S. L. MAYHEW, L. G. VISSER, AND P. D. FRIEDRICH. 2011. Improving large scale mark-recapture estimates for American black bear populations. Ursus 22:9-23.
  • BELANT, J. L., J. F. VAN STAPPEN, AND D. PAETKAU. 2005. American black bear population size and genetic diversity at Apostle Island National Lakeshore. Ursus 16:85-92.
  • BLUMS, P., J. D. NICHOLS, J. E. HINES, M. S. LINDBERG, AND A. MEDNIS. 2005. Individual quality,survival variation and patterns of phenotypic selection on body condition and timing of nesting in birds. Population Ecology 143:365-376.
  • BOLKER, B. M., ET AL. 2009. Generalized linear mixed models: a practical guide for ecology and evolution. Trends in Ecology & Evolution 24:127-135.
  • BOULANGER, J., B. N. MCLELLAN, J. G. WOODS, M. F. PROCTOR, AND C. STROBECK. 2004a. Sampling design and bias in DNA-based capture-mark-recapture population and density estimates of grizzly bears. Journal of Wildlife Management 68:457-469.
  • BOULANGER, J., G. STENHOUSE, AND R. MUNRO. 2004b. Sources of heterogeneity bias when DNA mark-recapture sampling methods are applied to grizzly bear (Ursus arctos) populations. Journal of Mammalogy 85:618-624.
  • BOWKETT, A. E., F. ROVERO, AND A. R. MARSHALL. 2008. The use of camera-trap data to model habitat use by antelope species in the Udzungwa Mountain forests, Tanzania. African Journal of Ecology 46:479-487.
  • BREUSCH, T. S., AND A. R. PAGAN. 1979. A simple test for heteroscedasticity and random coefficient variation. Econometrica 47:1287-1294.
  • BURNHAM, K. P., AND D. R. ANDERSON. 2002. Model selection and multimodel inference, a practical information-theoretic approach. Colorado State University, Fort Collins.
  • CARMICHAEL, L. E., P. KRIZAN, S. POLISCHUK BLUM, AND C. STROBECK. 2005. Genotyping of pseudohermaphrodite polar bears in Nunavut and advances in DNA sexing techniques. Journal of Mammalogy 86:160-169.
  • CARTER, N. H., D. G. BROWN, D. R. ETTER, AND L. G. VISSER. 2010. American black bear habitat selection in northern Lower Peninsula, Michigan, USA, using discrete-choice modeling. Ursus 21:57-71.
  • CREEL, S., ET AL. 2003. Population size estimation in Yellowstone wolves with error-prone noninvasive microsatellite genotypes. Molecular Ecology 12:2003-2009.
  • DREHER, B. P., ET AL. 2007. Noninvasive estimation of black bear abundance incorporating genotyping errors and harvested bear. Journal of Wildlife Management 71:2684-2693.
  • EBERT, C., F. KNAUER, I. STORCH, AND U. HOHMANN. 2010. Individual heterogeneity as a pitfall in population estimates based on noninvasive genetic sampling: a review and recommendations. Wildlife Biology 16:225-240.
  • 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 12:1389-1402.
  • ESRI. 2012. ArcGIS. Ver. 10.0. Environmental Systems Research Institute, Inc., Redlands, California.
  • FRY, J. A., ET AL. 2011. Completion of the 2006 National Land Cover Database for the conterminous United States. Photogrammetric Engineering and Remote Sensing 77:858-864.
  • GARDNER, B., J. A. ROYLE, M. T. WEGAN, R. E. RAINBOLT, AND P. D. CURTIS. 2010. Estimating black bear density using DNA data from hair snares. Journal of Wildlife Management 74:318-325.
  • GARSHELIS, D. L. 2006. On the allure of noninvasive genetic sampling-putting a face to the name. Ursus 17:109-123.
  • GARSHELIS, D. L., AND K. V. NOYCE. 2006. Discerning biases in a large scale mark-recapture population estimate for black bears. Journal of Wildlife Management 70:1634-1643.
  • GARSHELIS, D. L., AND M. R. PELTON. 1980. Activity of black bears in the Great Smoky Mountains National Park. Journal of Mammalogy 61:8-19.
  • 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.
  • HERRERO, S. 1972. Aspects of evolution and adaptation in American black bears (Ursus americanus Pallas) and brown and grizzly bears (U. arctos Linne) of North America. Pp. 221-231 in Bears: their biology and management (S. Herrero, ed.). International Union for the Conservation of Nature, Morges, Switzerland.
  • HUGGINS, R. M. 1991. Some practical aspects of a conditional likelihood approach to capture experiments. Biometrics 47:725-732.
  • JOHNSON, D. H. 1980. The comparison of usage and availability measurements for evaluating resource preference. Ecology 61:65-71.
  • JOHNSON, K. G., AND M. R. PELTON. 1980. Prebaiting and snaring techniques for black bears.Wildlife Society Bulletin 8:46-54.
  • KINNAIRD, M. G., E. W. SANDERSON, T. G. O'BRIEN, H. T. WIBISONO, AND G. WOOLMER. 2003. Deforestation trends in a tropical landscape and implications for endangered large mammals. Conservation Biology 17:245-257.
  • KLEIBER, C., AND A. ZEILEIS. 2008. Applied Econometrics with R. Springer-Verlag, New York. http://CRAN.R-project.org/ package=AER. Accessed 05 February 2014.
  • KOEHLER, G. M., AND D. J. PIERCE. 2003. Black bear home-range sizes in Washington: climatic, vegetative, and social influences. Journal of Mammalogy 84:81-91.
  • KREEGER, T. J., AND J. M. ARNEMO. 2007. Handbook of wildlife chemical immobilization. 3rd ed. Wildlife Pharmaceuticals, Fort Collins, Colorado.
  • LARRUCEA, E. S., P. F. BRUSSARD, M. M. JAEGER, R. H. BARRETT. 2006. Cameras, coyotes, and the assumption of equal detectability. Journal of Wildlife Management 71:1682-1689.
  • LYONS, A. L., W. L. GAINES, AND C. SERVHEEN. 2003. Black bear resource selection in the northeast Cascades, Washington. Biological Conservation 113:55-62.
  • MARUCCO, F., L. BOITANI, D. H. PLETSCHER, AND M. K. SCHWARTZ. 2011. Bridging the gaps between non-invasive genetic sampling and population parameter estimation. European Journal of Wildlife Research 57:1-13.
  • MILLSPAUGH, J. J., ET AL. 2006. Analysis of resource selection using utilization distributions. Journal of Wildlife Management 70:384-395.
  • MOORCROFT, P. R. 2012. Mechanistic approaches to understanding and predicting mammalian space use: recent advances, future directions. Journal of Mammalogy 93:903-916.
  • NIGH, T. A., AND W. A. SCHROEDER. 2002. Atlas of Missouri ecoregions. Missouri Department of Conservation, Jefferson City, Missouri.
  • NOYCE, K. V., AND D. L. GARSHELIS. 1998. Spring weight changes in black bears in north central Minnesota: the negative foraging period revisited. Ursus 10:521-531.
  • NOYCE, K. V., AND D. L.GARSHELIS. 2011. Seasonal migrations of black bears (Ursus americanus): causes and consequences. Behavioral Ecology and Sociobiology 65:823-835.
  • NOYCE, K. V., D. L. GARSHELIS, AND P. L. COY. 2001. Differential vulnerability of black bears to trap and camera sampling and resulting biases in mark-recapture estimates. Ursus 12:211-225.
  • OBBARD, M. E., HOWE, E. J., AND C. J. KYLE. 2010. Empirical comparison of density estimators for large carnivores. Journal of Applied Ecology 47:76-84.
  • OTIS, D. L., K. P. BURNHAM, G. C. WHITE, AND D. R. ANDERSON. 1978. Statistical inference from capture data on closed animal populations. Wildlife Monographs 62:1-135.
  • POOLE, K. G., G. MOWAT, AND D. A. FEAR. 2001. DNA-based population estimate for grizzly bears Ursus arctos in northeastern British Columbia, Canada. Wildlife Biology 7:105-115.
  • POWELL, R. A., AND M. S. MITCHELL. 1998. Topographical constraints and home range quality. Ecography 21:337-341.
  • POWELL, R. A., AND M. S. MITCHELL. 2012. What is a home range? Journal of Mammalogy 93:948-958.
  • PUCKETT, E. E., ET AL. 2014. Influence of drift and admixture on population structure of American black bears (Ursus americanus) in the Central Interior Highlands, USA 50 years after translocation. Molecular Ecology 23:2414-2427.
  • R DEVELOPMENT CORE TEAM. 2013. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. www.R-project.org. Accessed 10 January 2014.
  • RAEKER, G., J. FLEMING, M. MORRIS, K. MOSER, AND T. TREIMAN. 2010. Missouri's forest resource assessment and strategy, seeking a sustainable future for Missouri's forest resources. Missouri Department of Conservation, Jefferson City, Missouri, USA and US Forest Service, Northern Research Station, Newtown Square, Pennsylvania.
  • REAGAN, S. R., J. M. ERTEL, P. STINSON, P. YAKUPZACK, AND D. ANDERSON. 2002. A passively triggered foot snare design for American black bears to reduce disturbance by non-target animals. Ursus 13:317-320.
  • ROYLE, J. A., R. B. CHANDLER, R. SOLLMANN, AND B. GARDNER. 2014. Spatial Capture Recapture. Academic Press, Waltham, Massachusetts.
  • SAWAYA, M. A., J. B. STETZ, A. P. CLEVENGER, M. L. GIBEAU, AND S. T. KALINOWSKI. 2012. Estimating grizzly and black bear population abundance and trend in Banff National Park using noninvasive genetic sampling. PLoS ONE 7:e34777.
  • SETTLAGE, K. E., F. T. VAN MANEN, J. D. CLARK, AND T. L. KING. 2008. Challenges of DNA-based mark-recapture studies of American black bears. Journal of Wildlife Management 72:1035-1042.
  • SIKES, R. S., W. L. GANNON, AND THE ANIMAL CARE AND USE COMMITTEE OF THE AMERICAN SOCIETY OF MAMMALOGISTS. 2011. Guidelines of the American Society of Mammalogists for the use of wild mammals in research. Journal of Mammalogy 92:235-253.
  • SOLLMANN, R., B. GARDNER, AND J. L. BELANT. 2012. How does spatial study design influence density estimates from spatial capture-recapture models? PLoS ONE 7:e34575.
  • SOLLMANN, R., ET AL. 2013. Combining camera-trapping and noninvasive genetic data in a Spatial capture-recapture framework improves density estimates for the jaguar. Biological Conservation 167:242-247.
  • SPENCER, W. D. 2012. Home ranges and the value of spatial information. Journal of Mammalogy 93:929-947.
  • SUN, C. C., A. K. FULLER, AND J. A. ROYLE. 2014. Trap configuration and spacing influences parameter estimates in spatial capturerecapture models. PLoS ONE 9:e88025.
  • TOBLER, M. W., S. E. CARRILLO-PERCASTEGUI, A. ZUNIGA HARTLEY, AND G. V. N. POWELL. 2013. High jaguar densities and large population sizes in the core habitat of the southwestern Amazon. Biological Conservation 159:375-381.
  • TOBLER, M. W., AND G. V. N. POWELL. 2013. Estimating jaguar densities with camera traps: problems with current designs and recommendations for future studies. Biological Conservation 159:109-118.
  • WAND, M. 2014. KernSmooth: functions for kernel smoothing for Wand & Jones (1995). R package version 2.23-10. http://CRAN.Rproject.org/package=KernSmooth. Accessed 22 February 2014.
  • WEGAN, M. T., P. D. CURTIS, R. E. RAINBOLT, AND B. GARDNER. 2012. Temporal sampling frame selection in DNA-based capture-markrecapture investigations. Ursus 23:42-51.
  • WHITE, T. H., JR., M. K. OLI, B. D. LEOPOLD, H. A. JACOBSON, AND J. W. KASBOHM. 1996. Field evaluation of Telazol® and ketaminexylazine for immobilizing black bears. Wildlife Society Bulletin 24:521-527.
  • WILTON, C. W., J. L. BELANT, AND J. BERINGER. 2014b. Distribution of American black bear occurrences and human-bear incidents in Missouri. Ursus 25:53-60.
  • WILTON, C. W., E. E. PUCKETT, J. BERINGER, B. GARDNER, L. S. EGGERT, AND J. L. BELANT. 2014a. Trap array configuration influences estimates and precision of black bear density and abundance. PLoS ONE 9:e111257.
  • WOODS, J. G., D. PAETKAU, D. LEWIS, B. L. MCLELLAN, M. PROCTOR, AND C. STROBECK. 1999. Genetic tagging of free-ranging black and brown bears. Wildlife Society Bulletin 27:616-627.
  • ZEILEIS, A., AND T. HOTHORN. 2002. Diagnostic checking in regression relationships. R News 2:7-10.