地表径流
森林砍伐(计算机科学)
环境科学
气候变化
蒸散量
降水
森林覆盖
森林经营
农林复合经营
生态学
地理
生物
气象学
计算机科学
程序设计语言
作者
Shuai Ma,Sha Zhou,Bofu Yu,Jiaxi Song
出处
期刊:Science Advances
[American Association for the Advancement of Science (AAAS)]
日期:2024-08-16
卷期号:10 (33)
标识
DOI:10.1126/sciadv.adp3964
摘要
Large-scale deforestation alters water availability through its direct effect on runoff generation and indirect effect through forest-climate feedbacks. However, these direct and indirect effects and their spatial variations are difficult to separate and poorly understood. Here, we develop an attribution framework that combines the Budyko theory and deforestation experiments with climate models, showing that widespread runoff reductions caused by the indirect effect of forest-climate feedbacks can largely offset the direct effect of reduced forest cover on runoff increases. The indirect effect dominates the hydrological responses to deforestation over 63% of deforested areas worldwide. This indirect effect arises from deforestation-induced reductions in precipitation and potential evapotranspiration, which decrease and increase runoff, respectively, leading to complex patterns of runoff responses. Our findings underscore the importance of forest-climate feedbacks for improved understanding and prediction of climate and hydrological changes caused by deforestation, with profound implications for sustainable management of forests and water resources.
科研通智能强力驱动
Strongly Powered by AbleSci AI