Endangered Florida panther population size determined from public reports of motor vehicle collision mortalities

作者: Brett T. McClintock , Dave P. Onorato , Julien Martin

DOI: 10.1111/1365-2664.12438

关键词: Florida PantherAbundance (ecology)PopulationAbundance estimationEcologySpecies of concernFisheryMark and recapturePopulation sizeEndangered speciesGeography

摘要: Summary 1. Reliably estimating the abundance of rare or elusive animals is notoriously difficult. An archetypical example endangered Florida panther, whose conservation status intrinsically linked to population size, but for which reliable information lacking across its range. This due not only inherent difficulty sampling a and species over large geographic area, also because restricted scientific access private land. 2. Human interactions with wildlife are regular occurrence, non-scientists constitute an important underutilized source about distribution abundance. For example, motor vehicle collisions panthers recurrent on vast network roads within public lands comprising range in southern Florida, USA. 3. Capitalizing tendency report concern officials, we describe novel methodology using reports along routine telemetry monitoring data produce first statistically defensible estimates panther entire breeding In essence, our approach uses traffic volume road density estimate probability collision mortality from telemetered models counts reported by accordingly. 4. Despite low probabilities, achieved reasonable precision (29% CV) that was similar previous studies conventional approaches much smaller study areas. While recovery criteria require establishment three distinct populations 240 panthers, found this single may never have exceeded 150 individuals 2000 2012. 5. Synthesis applications. By extracting critical demographic aspects human–wildlife ecology, citizen-based can cost less than alternatives could conceivably be used long-term other broad areas, avian wind farm collisions, beached whales marine mammal boat strikes. additional benefit it applied historical sets carcass programmes, case permitting estimation 13-year period.

参考文章(25)
D. P. Onorato, M. Criffield, M. Lotz, M. Cunningham, R. McBride, E. H. Leone, O. L. Bass, E. C. Hellgren, Habitat selection by critically endangered Florida panthers across the diel period: implications for land management and conservation Animal Conservation. ,vol. 14, pp. 196- 205 ,(2011) , 10.1111/J.1469-1795.2010.00415.X
David C. Bowden, Roland C. Kufeld, Generalized mark-sight population size estimation applied to Colorado moose Journal of Wildlife Management. ,vol. 59, pp. 840- 851 ,(1995) , 10.2307/3801965
Brett T. McClintock, Jennifer A. Hoeting, Bayesian analysis of abundance for binomial sighting data with unknown number of marked individuals Environmental and Ecological Statistics. ,vol. 17, pp. 317- 332 ,(2010) , 10.1007/S10651-009-0109-0
Cavell Brownie, Kenneth P. Burnham, David R. Anderson, Douglas S. Robson, Statistical inference from band recovery data - a handbook Resource Publication. ,(1985)
Paul F. Doherty, Gary C. White, Kenneth P. Burnham, Comparison of model building and selection strategies Journal of Ornithology. ,vol. 152, pp. 317- 323 ,(2012) , 10.1007/S10336-010-0598-5
Fred S. Guthery, Kenneth P. Burnham, David R. Anderson, Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach The Journal of Wildlife Management. ,vol. 67, pp. 655- ,(2003) , 10.2307/3802723
John M Hoenig, Nicholas J Barrowman, William S Hearn, Kenneth H Pollock, Multiyear tagging studies incorporating fishing effort data Canadian Journal of Fisheries and Aquatic Sciences. ,vol. 55, pp. 1466- 1476 ,(1998) , 10.1139/F97-256
J. Andrew Royle, K. Ullas Karanth, Arjun M. Gopalaswamy, N. Samba Kumar, Bayesian inference in camera trapping studies for a class of spatial capture–recapture models Ecology. ,vol. 90, pp. 3233- 3244 ,(2009) , 10.1890/08-1481.1
C. R. Miller, L. P. Waits, The history of effective population size and genetic diversity in the Yellowstone grizzly (Ursus arctos): Implications for conservation Proceedings of the National Academy of Sciences of the United States of America. ,vol. 100, pp. 4334- 4339 ,(2003) , 10.1073/PNAS.0735531100
Rahel Sollmann, Beth Gardner, Richard B. Chandler, David B. Shindle, David P. Onorato, Jeffrey Andrew Royle, Allan F. O'Connell, Using multiple data sources provides density estimates for endangered Florida panther Journal of Applied Ecology. ,vol. 50, pp. 961- 968 ,(2013) , 10.1111/1365-2664.12098