Aging traits and sustainable trophy hunting of African lions
Jennifer R.B. Miller, Guy Balme, Peter A. Lindsey, Andrew J. Loveridge, Matthew S. Becker, Colleen Begg, Henry Brink, Stephanie Dolrenry, Jane E. Hunt, Ingela Jansson, David W. Macdonald, Roseline L. Mandisodza-Chikerema, Alayne Oriol Cotterill, Craig Packer, Daniel Rosengren, Ken Stratford, Martina Trinkel, Paula A. White, Christiaan Winterbach, Hanlie E.K. Winterbach, Paul J. Funston
Trophy hunting plays a significant role in wildlife conservation in some contexts in various parts of the world. Yet excessive hunting is contributing to species declines, especially for large carnivores. Simulation models suggest that sustainable hunting of African lions may be achieved by restricting offtakes to males old enough to have reared a cohort of offspring. We tested and expanded criteria for an age-based approach for sustainably regulating lion hunting. Using photos of 228 known-age males from ten sites across Africa, we measured change in ten phenotypic traits with age and found four age classes with distinct characteristics: 1â€“2.9years, 3â€“4.9years, 5â€“6.9years, and â‰¥7years. We tested the aging accuracy of professional hunters and inexperienced observers before and after training on aging. Before training, hunters accurately aged more lion photos (63%) than inexperienced observers (48%); after training, both groups improved (67â€“69%). Hunters overestimated 22% of lions <5years as 5â€“6.9years (unsustainable) but only 4% of lions <5years as â‰¥7years (sustainable). Due to the lower aging error for males â‰¥7years, we recommend 7years as a practical minimum age for hunting male lions. Results indicate that age-based hunting is feasible for sustainably managing threatened and economically significant species such as the lion, but must be guided by rigorous training, strict monitoring of compliance and error, and conservative quotas. Our study furthermore demonstrates methods for identifying traits to age individuals, information that is critical for estimating demographic parameters underlying management and conservation of age-structured species.
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