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中国黄河流域不同气候区和植被类型下农业干旱的时空演变及其归因

Spatiotemporal evolution of agricultural drought and its attribution under different climate zones and vegetation types in the Yellow River Basin of China.

作者信息

Ding Yujie, Zhang Lifeng, He Yi, Cao Shengpeng, Wei Xiao, Guo Yan, Ran Ling, Filonchyk Mikalai

机构信息

Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China; National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China; Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China.

Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China; National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China; Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China.

出版信息

Sci Total Environ. 2024 Mar 1;914:169687. doi: 10.1016/j.scitotenv.2023.169687. Epub 2024 Jan 9.

Abstract

Ecological protection and high-quality development of the Yellow River Basin (YRB) are major national strategies in China. Agricultural drought (AD) is one of the most important stress factors of the ecological security of the YRB. Currently, there is a lack of exploration of the spatiotemporal evolution of AD in the YRB under different climatic zones and vegetation types, and the mechanisms by the driving factors influence AD remain unclear. The Temperature Vegetation Dryness Index (TVDI) for the YRB in China during 2000-2020 was calculated using Land Surface Temperature (LST) and the Normalized Difference Vegetation Index (NDVI). We analyzed the spatiotemporal evolution of AD from the perspective of upstream of the YRB (UYRB), midstream of the YRB (MYRB), and downstream of the YRB (DYRB), as well as different climate zones and vegetation types. The driving factors were selected based on the Pearson correlation analysis, Geographical detector, and Mantel test. Structural equation modeling (SEM) was employed to quantify the direct and indirect effects of the driving factors on AD in the YRB. We found a slowing trend of AD in the YRB, mainly in the Loess Plateau, which is distributed in UYRB and MYRB, but an increasing trend for AD in DYRB. Temperature, which is the most direct influential factor, has exacerbated AD in UYRB and MYRB. However, surface solar radiation (SSR) has the greatest constraining effect on DYRB. AD increased in arid and desert zones, while a decreasing trend is observed for other climatic zones and vegetation types. In arid and semiarid zones, human activities and SSR were the largest indirect factors exacerbating AD. In humid and subhumid zones, the largest indirect factor exacerbating AD was potential evapotranspiration (PET). Temperature is the most direct factor exacerbating AD in cropland and forest, while PET is the largest indirect factor exacerbating AD in grassland. This study elucidates the driving factors and mechanisms of AD in the YRB to provide scientific decision support for mitigating regional drought and promoting regional sustainable development.

摘要

黄河流域生态保护和高质量发展是中国的重大国家战略。农业干旱是黄河流域生态安全最重要的胁迫因素之一。目前,缺乏对黄河流域不同气候带和植被类型下农业干旱时空演变的探索,驱动因素影响农业干旱的机制仍不明确。利用地表温度(LST)和归一化植被指数(NDVI)计算了2000—2020年中国黄河流域的温度植被干旱指数(TVDI)。我们从黄河流域上游(UYRB)、黄河流域中游(MYRB)和黄河流域下游(DYRB)以及不同气候带和植被类型的角度分析了农业干旱的时空演变。基于Pearson相关分析、地理探测器和Mantel检验选择驱动因素。采用结构方程模型(SEM)量化驱动因素对黄河流域农业干旱的直接和间接影响。我们发现黄河流域农业干旱呈减缓趋势,主要集中在分布于上游和中游的黄土高原,但下游地区农业干旱呈增加趋势。温度是最直接的影响因素,加剧了上游和中游的农业干旱。然而,地表太阳辐射(SSR)对下游地区的抑制作用最大。干旱和荒漠地区农业干旱增加,而其他气候带和植被类型则呈下降趋势。在干旱和半干旱地区,人类活动和地表太阳辐射是加剧农业干旱的最大间接因素。在湿润和亚湿润地区,加剧农业干旱的最大间接因素是潜在蒸散(PET)。温度是农田和森林中加剧农业干旱的最直接因素,而潜在蒸散是草地中加剧农业干旱的最大间接因素。本研究阐明了黄河流域农业干旱的驱动因素和机制,为缓解区域干旱和促进区域可持续发展提供科学决策支持。

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