Linking remotely sensed ecosystem resilience with forest mortality across the continental United States

Linking remotely sensed ecosystem resilience with forest mortality across the continental United States
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DOI:
10.1111/gcb.16529
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发表时间:
2022-12
影响因子:
11.6
通讯作者:
X. Tai;A. Trugman;W. Anderegg
X. Tai;A. Trugman;W. Anderegg
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
X. Tai;A. Trugman;W. Anderegg

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世界各地都观察到了与气候变化有关的森林死亡事件,影响了物种组成和水资源和碳固存等生态系统服务。然而,我们预测森林死亡的能力仍然有限,特别是在大范围内。卫星图像的时间序列已被用来记录全球生态系统的复原力,但尚不清楚遥感复原力能在多大程度上很好地预测整个大陆多个生物群规模的森林死亡情况。在这里,我们利用美国大陆的森林清单,系统地评估使用不同数据集和方法预测森林死亡的生态系统恢复能力的潜力。我们发现,高弹性与东部森林的低死亡率有关,但与西部地区的高死亡率有关。美国西部出人意料的恢复力-死亡率关系可能是由于多种因素造成的,包括植物特性驯化、昆虫种群动态或资源竞争。总体而言,我们的结果不仅支持利用遥感生态系统复原力预测森林死亡的机会,还强调了生态因素可能具有关键影响,因为它们可以逆转复原力-死亡关系的迹象。
Episodes of forest mortality have been observed worldwide associated with climate change, impacting species composition and ecosystem services such as water resources and carbon sequestration. Yet our ability to predict forest mortality remains limited, especially across large scales. Time series of satellite imagery has been used to document ecosystem resilience globally, but it is not clear how well remotely sensed resilience can inform the prediction of forest mortality across continental, multi‐biome scales. Here, we leverage forest inventories across the continental United States to systematically assess the potential of ecosystem resilience derived using different data sets and methods to predict forest mortality. We found high resilience was associated with low mortality in eastern forests but was associated with high mortality in western regions. The unexpected resilience–mortality relation in western United States may be due to several factors including plant trait acclimation, insect population dynamics, or resource competition. Overall, our results not only supported the opportunity to use remotely sensed ecosystem resilience to predict forest mortality but also highlighted that ecological factors may have crucial influences because they can reverse the sign of the resilience–mortality relationships.