Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
INRAE, Universite de Lorraine, AgroParisTech, UMR Silva, Nancy, France.
Glob Chang Biol. 2023 Feb;29(3):747-762. doi: 10.1111/gcb.16504. Epub 2022 Nov 11.
During the last two decades, inventory data show that droughts have reduced biomass carbon sink of the Amazon forest by causing mortality to exceed growth. However, process-based models have struggled to include drought-induced responses of growth and mortality and have not been evaluated against plot data. A process-based model, ORCHIDEE-CAN-NHA, including forest demography with tree cohorts, plant hydraulic architecture and drought-induced tree mortality, was applied over Amazonia rainforests forced by gridded climate fields and rising CO from 1901 to 2019. The model reproduced the decelerating signal of net carbon sink and drought sensitivity of aboveground biomass (AGB) growth and mortality observed at forest plots across selected Amazon intact forests for 2005 and 2010. We predicted a larger mortality rate and a more negative sensitivity of the net carbon sink during the 2015/16 El Niño compared with the former droughts. 2015/16 was indeed the most severe drought since 1901 regarding both AGB loss and area experiencing a severe carbon loss. We found that even if climate change did increase mortality, elevated CO contributed to balance the biomass mortality, since CO -induced stomatal closure reduces transpiration, thus, offsets increased transpiration from CO -induced higher foliage area.
在过去的二十年中,库存数据表明,干旱通过导致死亡超过生长,减少了亚马逊森林的生物量碳汇。然而,基于过程的模型难以包括干旱引起的生长和死亡反应,并且尚未针对绘图数据进行评估。一种基于过程的模型 ORCHIDEE-CAN-NHA,包括带有树木队列的森林动态学、植物水力结构和干旱引起的树木死亡,在由格网气候场和 CO 上升强迫的亚马逊雨林上进行了应用,范围从 1901 年到 2019 年。该模型再现了选定的亚马逊完整森林中森林样地观测到的净碳汇减速信号以及地上生物量(AGB)生长和死亡对干旱的敏感性。我们预测,与以前的干旱相比,2015/16 年厄尔尼诺现象期间的死亡率更高,净碳汇的敏感性更负。2015/16 年确实是自 1901 年以来 AGB 损失和经历严重碳损失的地区最严重的干旱。我们发现,即使气候变化确实增加了死亡率,CO 的升高也有助于平衡生物量死亡率,因为 CO 引起的气孔关闭会减少蒸腾作用,从而抵消了 CO 引起的较高叶面积蒸腾作用增加。