文献类型： 外文期刊

第一作者： Sun, Qiangqiang

作者： Sun, Qiangqiang;Jiao, Xin;Lin, Xin;Pan, Qidi;Chen, Lu;Zhang, Yongxiang;Hao, Jinmin;Sun, Danfeng;Zhang, Ping;Duan, Wenkai;Ma, Su;You, Shucheng;Liu, Shunxi;Li, Hong;Sun, Danfeng

作者机构： China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China;Minist Nat Resources, Natl Geomat Ctr China, Beijing 100830, Peoples R China;China Agr Univ, China Agr Univ Lib, Beijing 100193, Peoples R China;Chinese Res Inst Environm Sci, Inst Environm Informat, Beijing 100012, Peoples R China;Minist Nat Resources, Land Satellite Remote Sensing Applicat Ctr, Beijing, Peoples R China;Minist Nat Resources, China Land Survey & Planning Inst, Beijing, Peoples R China;Beijing Acad Agr & Forestry Sci, Inst Plant Nutr & Resources, Beijing, Peoples R China;Minist Nat Resources, Technol Innovat Ctr Land Engn, Beijing, Peoples R China

期刊名称：EARTH SYSTEM SCIENCE DATA （ 2023影响因子：11.2； 五年影响因子：12.1 ）

ISSN： 1866-3508

年卷期： 2024 年 16 卷 3 期

页码：

收录情况： SCI

摘要： Multifaceted regime shifts of Earth's surface are ongoing dramatically and - in turn - considerably alter the global carbon budget, energy balance and biogeochemical cycles. Sustainably managing terrestrial ecosystems necessitates a deeper comprehension of the diverse and dynamic nature of multicomponent information within these environments. However, comprehensive records of global-scale fractional vegetation and soil information that encompass these structural and functional complexities remain limited. Here, we provide a globally comprehensive record of monthly vegetation and soil fractions during the period 2001-2022 using a spatiotemporally adaptive spectral mixture analysis framework. This product is designed to continuously represent Earth's terrestrial surface as a percentage of five physically meaningful vegetation and soil endmembers, including photosynthetic vegetation (PV), nonphotosynthetic vegetation (NPV), bare soil (BS), ice or snow (IS) and dark surface (DA), with high accuracy and low uncertainty compared to the previous vegetation index and vegetation continuous-field product as well as traditional fully constrained linear spectral mixture models. We also adopt nonparametric seasonal Mann-Kendall tested fractional dynamics to identify shifts based on interactive changes in these fractions. Our results - superior to previous portrayals of the greening planet - not only report a +9.35 x 10(5) km(2) change in photosynthetic vegetation, but also explore decreases in nonphotosynthetic vegetation (-2.19 x 10(5) km(2)), bare soil (-5.14 x 10(5) km(2)) and dark surfaces (-2.27 x 10(5) km(2)). In addition, interactive changes in these fractions yield multifaceted regime shifts with important implications, such as a simultaneous increase in PV and NPV in central and southwestern China during afforestation activities, an increase in PV in cropland of China and India due to intensive agricultural development, a decrease in PV and an increase in BS in tropical zones resulting from deforestation. These advantages emphasize that our dataset provides locally relevant information on multifaceted regime shifts at the required scale, enabling scalable modeling and effective governance of future terrestrial ecosystems. The data about five fractional surface vegetation and soil components are available in the Science Data Bank (https://doi.org/10.57760/sciencedb.13287, Sun and Sun, 2023).

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