Department of Ecology and Evolutionary Biology, Center for Ocean Health, Long Marine Laboratory, University of California, Santa Cruz, CA 95060, USA.
Conserv Biol. 2010 Jun;24(3):852-60. doi: 10.1111/j.1523-1739.2009.01428.x. Epub 2010 Jan 19.
Recovery criteria for depleted species or populations normally are based on demographic measures, the goal being to maintain enough individuals over a sufficiently large area to assure a socially tolerable risk of future extinction. Such demographically based recovery criteria may be insufficient to restore the functional roles of strongly interacting species. We explored the idea of developing a recovery criterion for sea otters (Enhydra lutris) in the Aleutian archipelago on the basis of their keystone role in kelp forest ecosystems. We surveyed sea otters and rocky reef habitats at 34 island-time combinations. The system nearly always existed in either a kelp-dominated or deforested phase state, which was predictable from sea otter density. We used a resampling analysis of these data to show that the phase state at any particular island can be determined at 95% probability of correct classification with information from as few as six sites. When sea otter population status (and thus the phase state of the kelp forest) was allowed to vary randomly among islands, just 15 islands had to be sampled to estimate the true proportion that were kelp dominated (within 10%) with 90% confidence. We conclude that kelp forest phase state is a more appropriate, sensitive, and cost-effective measure of sea otter recovery than the more traditional demographically based metrics, and we suggest that similar approaches have broad potential utility in establishing recovery criteria for depleted populations of other functionally important species.
枯竭物种或种群的恢复标准通常基于人口统计学指标,其目标是在足够大的区域内维持足够数量的个体,以确保未来灭绝的社会可容忍风险。这种基于人口统计学的恢复标准可能不足以恢复强相互作用物种的功能作用。我们基于海獭(Enhydra lutris)在巨藻林生态系统中的关键作用,探索了为阿留申群岛的海獭制定恢复标准的想法。我们调查了 34 个岛屿-时间组合中的海獭和岩石礁栖息地。该系统几乎总是存在于巨藻主导或森林砍伐的阶段状态,这可以从海獭密度中预测。我们使用这些数据的重采样分析表明,在任何特定岛屿上的阶段状态都可以通过来自六个地点的信息以 95%的正确分类概率来确定。当海獭种群状况(因此巨藻林的阶段状态)在岛屿之间随机变化时,只需要对 15 个岛屿进行抽样即可估计真正的以 90%置信度被巨藻主导的比例(在 10%以内)。我们的结论是,与更传统的基于人口统计学的指标相比,巨藻林阶段状态是衡量海獭恢复情况的更合适、更敏感和更具成本效益的指标,我们建议,类似的方法在为其他具有重要功能的耗尽种群制定恢复标准方面具有广泛的潜在效用。