Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, United Kingdom.
Proc Natl Acad Sci U S A. 2014 Jan 7;111(1):539-43. doi: 10.1073/pnas.1219615110. Epub 2013 Dec 16.
Sustainable management of terrestrial hunting requires managers to set quotas restricting offtake. This often takes place in the absence of reliable information on the population size, and as a consequence, quotas are set in an arbitrary fashion, leading to population decline and revenue loss. In this investigation, we show how an indirect measure of abundance can be used to set quotas in a sustainable manner, even in the absence of information on population size. Focusing on lion hunting in Africa, we developed a simple algorithm to convert changes in the number of safari days required to kill a lion into a quota for the following year. This was tested against a simulation model of population dynamics, accounting for uncertainties in demography, observation, and implementation. Results showed it to reliably set sustainable quotas despite these uncertainties, providing a robust foundation for the conservation of hunted species.
陆地狩猎的可持续管理要求管理者设定限制产量的配额。这通常是在缺乏有关种群规模的可靠信息的情况下进行的，因此，配额的设定是任意的，导致种群数量下降和收入损失。在这项研究中，我们展示了如何使用间接的丰富度衡量标准以可持续的方式设定配额，即使在缺乏有关种群规模的信息的情况下也可以做到。我们专注于非洲的狮子狩猎，开发了一种简单的算法，可将猎杀一头狮子所需的狩猎天数的变化转换为下一年的配额。该算法针对人口动态的模拟模型进行了测试，考虑了人口统计学、观察和实施方面的不确定性。结果表明，尽管存在这些不确定性，它仍能可靠地设定可持续的配额，为被狩猎物种的保护提供了坚实的基础。
