蒸散量
环境科学
耦合模型比对项目
气候学
气候变化
高原(数学)
中国
减速
趋势分析
代表性浓度途径
水循环
植被(病理学)
全球变暖
气候模式
大气科学
地理
生态学
生物
数学
地质学
医学
数学分析
统计
考古
病理
政治学
法学
作者
Huiyan Jiang,Guojie Wang,Shijie Li,Waheed Ullah,Solomon Obiri Yeboah Amankwah,Jiao Lu
摘要
Abstract Global climate change is projected to increase the probability of occurrence and severity of droughts. Increased CO 2 concentration drives partial closure of plant stomata and reduces evapotranspiration. However, the impact of reduced evapotranspiration due to CO 2 on future droughts characteristics in China is unclear. In this study, we have used the Coupled Model Intercomparison Project Phase 6 (CMIP6) global climate model simulations (GCMs) under historical period, and four shared socioeconomic pathway scenarios (SSP1‐2.6, SSP2‐4.5, SSP3‐7.0, and SSP5‐8.5) to estimate drought. We used a widely applicable drought index (i.e., the self‐calibrating Palmer Drought Severity Index [scPDSI]) to evaluate the historical and future drought conditions, using the Penman–Monteith formula with and without the CO 2 concentrations. The results show that the increasing trend of scPDSI slows down when the CO 2 effect is considered in all scenarios, especially in Heilongjiang, northern Xinjiang, and the Qinghai–Tibet Plateau. The divergence in the slowdown trend among the different scenarios becomes greater after 2030, with higher emission scenarios implying a greater slowdown in the increasing trend of scPDSI. After considering CO 2 , drought characteristics such as the drought frequency, intensity, and drought area decrease. Increased CO 2 concentration on vegetation physiological processes could mitigate future drought. Therefore, the effects of CO 2 on plant physiology should be considered in studies of future drought trends to develop more realistic response and adaptation policies to future drought changes.
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