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广泛的干旱引起的树木死亡在干燥的范围边缘表明,气候压力超过了物种的补偿机制。

Widespread drought-induced tree mortality at dry range edges indicates that climate stress exceeds species' compensating mechanisms.

机构信息

School of Biological Sciences, University of Utah, Salt Lake City, UT, USA.

Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA.

出版信息

Glob Chang Biol. 2019 Nov;25(11):3793-3802. doi: 10.1111/gcb.14771. Epub 2019 Aug 13.

Abstract

Drought-induced tree mortality is projected to increase due to climate change, which will have manifold ecological and societal impacts including the potential to weaken or reverse the terrestrial carbon sink. Predictions of tree mortality remain limited, in large part because within-species variations in ecophysiology due to plasticity or adaptation and ecosystem adjustments could buffer mortality in dry locations. Here, we conduct a meta-analysis of 50 studies spanning >100 woody plant species globally to quantify how populations within species vary in vulnerability to drought mortality and whether functional traits or climate mediate mortality patterns. We find that mortality predominantly occurs in drier populations and this pattern is more pronounced in species with xylem that can tolerate highly negative water potentials, typically considered to be an adaptive trait for dry regions, and species that experience higher variability in water stress. Our results indicate that climate stress has exceeded physiological and ecosystem-level tolerance or compensating mechanisms by triggering extensive mortality at dry range edges and provides a foundation for future mortality projections in empirical distribution and mechanistic vegetation models.

摘要

由于气候变化,预计干旱导致的树木死亡将增加,这将产生多方面的生态和社会影响,包括削弱或逆转陆地碳汇的潜力。对树木死亡的预测仍然有限,很大程度上是因为由于可塑性或适应性以及生态系统调整,物种内的生态生理学变化可能缓冲干燥地区的死亡率。在这里,我们对全球 >100 种木本植物物种的 50 项研究进行了荟萃分析,以量化物种内的种群在对干旱死亡率的脆弱性方面如何变化,以及功能特征或气候是否介导死亡率模式。我们发现,死亡率主要发生在较干燥的种群中,这种模式在木质部能够耐受非常负的水势的物种中更为明显,木质部通常被认为是干旱地区的适应性特征,以及在水胁迫下经历更高变异性的物种中更为明显。我们的结果表明,气候压力已经超过了生理和生态水平的耐受或补偿机制,在干旱范围的边缘引发了广泛的死亡,并为未来在经验分布和机制植被模型中进行死亡率预测提供了基础。

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