中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Regional variations in vegetation greening and climate change impacts on gross primary productivity and evapotranspiration in the Loess Plateau

文献类型:期刊论文

作者Gou, Fen2; Liang, Wei2; Fu, Bojie3; Chen, Ning2; Zhang, Weibin2; Jin, Zhao2; Yan, Jianwu2; Lv, Yihe3; Mo, Xingguo1; Gao, Nan2
刊名AGRICULTURAL AND FOREST METEOROLOGY
出版日期2025-10-15
卷号373页码:110757
关键词Land use changes Climate change Vegetation greening Gross primary productivity Evapotranspiration Loess Plateau
ISSN号0168-1923
DOI10.1016/j.agrformet.2025.110757
产权排序3
文献子类Article
英文摘要The Loess Plateau is vital to China's grain and energy production. Understanding the spatio-temporal variations and driving factors of gross primary productivity (GPP) and evapotranspiration (ET) in this area is crucial for optimizing ecological restoration strategies and effectively managing water resources. However, the impacts of land use types and flux changes driven by land use transitions and ecological restoration policies across regions remain unclear. Using a model based on remotely sensed vegetation indices and multi-period land use data, we estimate the spatial distribution and trends of GPP and ET from 1982 to 2017. Factorial simulations quantified how climatic factors and vegetation changes directly affected GPP and ET, and assessed contributions from land use and flux changes. The results indicate that the average annual GPP and ET for the entire plateau are 430.5 +/- 58.7 g C m-2 yr-1 and 359.2 +/- 29.4 mm yr-1, respectively, with soil evaporation accounting for the largest proportion of ET (42.7 %), particularly in Sandy land region (I) (58.9 %). Meanwhile, both GPP and ET have significantly increased at rates of 5.3 g C m-2 and 2.3 mm annually. The increase in ET is mainly driven by vegetation transpiration, especially in Loess hilly and gully region (II) and River valley plain region (III), while soil evaporation has slightly decreased. Vegetation greening is the dominant factor influencing GPP and ET changes, particularly after 2000. Climate factors, including precipitation and temperature, also contribute to these increases, but their influence is comparatively smaller. Further analysis reveals that flux changes in grasslands and croplands are dominant drivers of increased total GPP and ET across the Loess Plateau, with regions I and II contributing the most to these increases, particularly in the recent decade. This research provides valuable insights into optimizing ecological restoration strategies and balancing carbon-water dynamics in arid and semi-arid regions.
URL标识查看原文
WOS关键词WATER-USE EFFICIENCY ; SPATIALLY EXPLICIT ASSESSMENT ; NET PRIMARY PRODUCTION ; YELLOW-RIVER BASIN ; TEMPORAL PATTERNS ; CARRYING-CAPACITY ; GLOBAL ESTIMATION ; CHINA ; MODEL ; COVARIATION
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:001541949400002
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/215533]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Liang, Wei
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China;
3.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China;
推荐引用方式
GB/T 7714
Gou, Fen,Liang, Wei,Fu, Bojie,et al. Regional variations in vegetation greening and climate change impacts on gross primary productivity and evapotranspiration in the Loess Plateau[J]. AGRICULTURAL AND FOREST METEOROLOGY,2025,373:110757.
APA Gou, Fen.,Liang, Wei.,Fu, Bojie.,Chen, Ning.,Zhang, Weibin.,...&Gao, Nan.(2025).Regional variations in vegetation greening and climate change impacts on gross primary productivity and evapotranspiration in the Loess Plateau.AGRICULTURAL AND FOREST METEOROLOGY,373,110757.
MLA Gou, Fen,et al."Regional variations in vegetation greening and climate change impacts on gross primary productivity and evapotranspiration in the Loess Plateau".AGRICULTURAL AND FOREST METEOROLOGY 373(2025):110757.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。