Each week, we select a recently published Open Access article to feature. This week’s article comes from The Journal of Wildlife Management and considers the use of statistical population reconstruction methods in monitoring abundance of cryptic species.
The article’s abstract is given below, with the full article available to read here.
Howard, A.L., Clement, M.J., Peck, F.R. and Rubin, E.S. (2020), Estimating Mountain Lion Abundance in Arizona Using Statistical Population Reconstruction. Jour. Wild. Mgmt., 84: 85-95. doi:10.1002/jwmg.21769
Directly 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. 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. 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. 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). Our results suggest a stable statewide mountain lion population. 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.