#Point set reconstruction rhino for mac update#
Under the North American Model of wildlife Conservation, wildlife managers are encouraged to update management approaches when new information arises whose implementation could improve the viability of wildlife populations and the well‐being of animals. The ability to update abundance estimates quickly with relatively little effort using PopRecon 2.0 improves the ability of managers to monitor Arizona mountain lion populations annually and respond to changes in abundance. Statistical population reconstruction provides a practical and cost‐effective option for estimating statewide mountain lion abundance in Arizona. Journal of Wildlife Management published by Wiley Periodicals, Inc. This approach provides a practical and cost‐effective option for monitoring Arizona's mountain lion population, and will improve the ability of managers to monitor the population annually to respond to changes in abundance and to evaluate factors that influence mountain lion abundance. Our results suggest a stable statewide mountain lion population. Abundance for subadults and adults was more stable and precisely estimated, ranging from 1,166 (95% CI = 622–1,709) to 1,715 (95% CI = 872–2,558). Using PopRecon 2.0 software, we estimated that the statewide abundance of all mountain lions including kittens ranged from 1,848 (95% CI = 650–3,046) to 4,661 (95% CI = 393–9,030) during 2004–2018. We generated annual estimates of mountain lion abundance in Arizona, USA, for 2004–2018 by employing statistical population reconstruction methods, which use available age‐at‐harvest data and auxiliary information such as estimated survival rates, harvest probabilities, and hunter effort. © 2018 International Association for Bear Research and Management.ĭirectly monitoring abundance of cryptic species, such as mountain lions (Puma concolor), over large areas is a challenge for wildlife managers because traditional population estimation techniques may be impractical and expensive. Future enhancements in Program PopRecon may help improve the performance and utility of SPR for grizzly bears in British Columbia. Our analysis demonstrates the potential utility of SPR for monitoring grizzly bear population trends, but results from the Coastal area also highlight the importance of sufficient hunter-kill and -effort data, in addition to quality auxiliary data, to detect population change. Our results suggest that the grizzly bear population in the Boreal-Sub-boreal area was also recovering during this period.
The gradual increase in abundance within the Temperate Mountains area from 1985 to 2004 followed by an apparent decline was consistent with other independent studies and supported the premise that grizzly bear numbers were recovering from a population low until between 20. Relative trends in abundance appeared to be primarily affected by kill and effort data and were less affected by the auxiliary data. Modeled abundance in all 3 areas was sensitive to the auxiliary abundance estimate but less so for the auxiliary survival estimate or the length of the time series. Model inputs included annual estimates of age-at-kill and hunter effort, combined with auxiliary information on population abundance in 2012, and a non-hunting survival rate.
We applied statistical population reconstruction (SPR) using Program PopRecon 2.0 to evaluate trends in abundance of ≥3-year-old male grizzly bears for 3 large areas in British Columbia. In British Columbia, Canada, hunter kill data are available and provide relatively inexpensive information that possibly can be used to estimate trends in hunted populations. Grizzly bear (Ursus arctos) populations are costly to monitor by traditional survey methods.
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