Imperial College London, Silwood Park, Ascot SL5 7PY, UK.
Science. 2012 Jul 13;337(6091):228-32. doi: 10.1126/science.1219013.
Predicting when future species extinctions will occur is necessary for directing conservation investments but has proved difficult. We developed a new method for predicting extinctions over time, accounting for the timing and magnitude of habitat loss. We applied this to the Brazilian Amazon, predicting that local extinctions of forest-dependent vertebrate species have thus far been minimal (1% of species by 2008), with more than 80% of extinctions expected to be incurred from historical habitat loss still to come. Realistic deforestation scenarios suggest that local regions will lose an average of nine vertebrate species and have a further 16 committed to extinction by 2050. There is a window of opportunity to dilute the legacy of historical deforestation by concentrating conservation efforts in areas with greatest debt.
预测未来物种灭绝的时间对于指导保护投资是必要的,但事实证明这很困难。我们开发了一种新的方法来预测随着时间的推移而发生的灭绝,同时考虑到栖息地丧失的时间和规模。我们将此方法应用于巴西亚马逊地区,预测到迄今为止,依赖森林的脊椎动物物种的局部灭绝已经很少(到 2008 年,占物种的 1%),预计超过 80%的灭绝将来自于历史上的栖息地丧失。现实的森林砍伐情景表明,到 2050 年,当地地区将平均失去 9 种脊椎动物物种,另有 16 种物种将灭绝。通过在债务最多的地区集中保护努力,有机会减轻历史森林砍伐的影响。