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古老的森林在泰加林南部边缘对干旱的树冠恢复能力较低。

Old-growth forests show low canopy resilience to droughts at the southern edge of the taiga.

机构信息

College of Urban and Environmental Sciences and MOE Laboratory for Earth Surface Processes, Peking University, Beijing, China.

出版信息

Glob Chang Biol. 2021 Jun;27(11):2392-2402. doi: 10.1111/gcb.15605. Epub 2021 Mar 27.

DOI:10.1111/gcb.15605
PMID:33740267
Abstract

Forest mortality and resilience driven by drought disturbances have attracted tons of attention. However, the acquisition of continuous spatial-temporal data is generally enslaved to the conventional field investigations. In this study, the resilience of semiarid forest was characterized with canopy dynamics from remote sensing observations, combining the variations in canopy greenness and water content. We integrated dense normalized difference vegetation index (NDVI) and normalized difference infrared index (NDII) time series from Landsat datasets, intending to assess the canopy resilience in 24 conifer patches along a climatic aridity gradient at the southern edge of the taiga in northern Mongolia and southern Siberia of Russia. The results exhibited four patterns of coordinated NDVI-NDII variation trends, indicating that the canopy water content of coniferous forests may decrease at first during a drought period, and sustained water loss may, in turn, induce an accompanying reduction in canopy greenness. Meanwhile, the patches with canopy recovery growth after initial declines were considered to have resilience to climate change. We further observed the combined effects of aridity degree and tree age on canopy resilience, and all seven patches with no resilience corresponded to the old-tree group (the oldest trees reached or exceeded the age of 90). The observations indicated that the old-growth forests in semiarid regions were less likely to show canopy resilience, which corresponded to a higher risk of sustained decline.

摘要

森林死亡率和由干旱干扰引起的恢复力引起了广泛关注。然而,连续时空数据的获取通常受制于传统的实地调查。在本研究中,利用遥感观测中的冠层动态特征,结合冠层绿色度和含水量的变化,对半干旱森林的恢复力进行了描述。我们整合了来自 Landsat 数据集的密集归一化差异植被指数 (NDVI) 和归一化差异红外指数 (NDII) 时间序列,旨在评估蒙古北部和俄罗斯西伯利亚南部泰加林南部边缘气候干旱梯度上 24 个针叶林斑块的冠层恢复力。结果表明,有四种协调的 NDVI-NDII 变化趋势模式,表明针叶林的冠层含水量可能会在干旱期首先减少,持续的水分流失可能会导致冠层绿色度的相应减少。同时,初始下降后出现冠层恢复生长的斑块被认为具有对气候变化的恢复力。我们进一步观察了干旱程度和树木年龄对冠层恢复力的综合影响,所有 7 个没有恢复力的斑块都对应于老树组(最老的树木达到或超过 90 岁)。观测结果表明,半干旱地区的原始森林不太可能表现出冠层恢复力,这对应着持续下降的更高风险。

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