Alison Eyres, Thomas S Ball, Michael Dales, Tom Swinfield, Andy Arnell, Daniele Baisero, América Paz Durán, Jonathan M H Green, Rhys E Green, Anil Madhavapeddy, Andrew Balmford
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引用次数: 0
摘要
人类驱动的栖息地丧失被认为是造成生物多样性危机的最大原因,但迄今为止,我们缺乏强有力的、空间上明确的指标来量化栖息地范围的人为变化对物种灭绝的影响。现有的衡量标准要么没有考虑物种特征,要么只关注最近的栖息地丧失。持久性评分方法由Durán et al. (Durán et al. 2020)开发。进化,11,910-921 (doi:10.1111/2041-210X.13427)代表了一个重要的发展,它结合了物种生态和土地覆盖数据,同时考虑了过去栖息地丧失对物种灭绝概率的累积和非线性影响。然而,它的计算要求很高,限制了它的全球使用和应用。在这里,我们将持久性评分方法与高性能计算相结合,以1弧分分辨率(赤道3.4平方公里)为30875种陆生脊椎动物生成我们称之为LIFE(土地覆盖变化对未来灭绝的影响)度量的全球地图。这些地图首次对剩余的自然植被转化为农业和将农田恢复为自然栖息地所造成的预期灭绝数量(增加和减少)的边际变化提供了定量估计。我们从统计上证明,这种方法综合了物种丰富度、地方性和过去栖息地丧失的信息。我们得到的地图可以在0.5-1000平方公里的范围内使用,并提供了前所未有的机会来估计影响土地覆盖变化的各种行动对灭绝的影响,从个人饮食选择到全球保护区的发展。这篇文章是讨论会议议题“弯曲自然恢复的曲线:以乔治娜梅斯的遗产为基础建设生物多样性的未来”的一部分。
LIFE: A metric for mapping the impact of land-cover change on global extinctions.
Human-driven habitat loss is recognized as the greatest cause of the biodiversity crisis, yet to date we lack robust, spatially explicit metrics quantifying the impacts of anthropogenic changes in habitat extent on species' extinctions. Existing metrics either fail to consider species identity or focus solely on recent habitat losses. The persistence score approach developed by Durán et al. (Durán et al. 2020 Methods Ecol. Evol. 11, 910-921 (doi:10.1111/2041-210X.13427) represented an important development by combining species' ecologies and land-cover data while considering the cumulative and non-linear impact of past habitat loss on species' probability of extinction. However, it is computationally demanding, limiting its global use and application. Here we couple the persistence score approach with high-performance computing to generate global maps of what we term the LIFE (Land-cover change Impacts on Future Extinctions) metric for 30 875 species of terrestrial vertebrates at 1 arc-min resolution (3.4 km2 at the equator). These maps provide quantitative estimates, for the first time, of the marginal changes in the expected number of extinctions (both increases and decreases) caused by converting remaining natural vegetation to agriculture, and restoring farmland to natural habitat. We demonstrate statistically that this approach integrates information on species richness, endemism and past habitat loss. Our resulting maps can be used at scales from 0.5-1000 km2 and offer unprecedented opportunities to estimate the impact on extinctions of diverse actions that affect change in land cover, from individual dietary choices through to global protected area development.This article is part of the discussion meeting issue 'Bending the curve towards nature recovery: building on Georgina Mace's legacy for a biodiverse future'.
期刊介绍:
The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas):
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