文献类型： 外文期刊

作者： Zhu, Xian-Jin ¹ ; Yu, Gui-Rui ² ; Chen, Zhi ² ; Zhang, Wei-Kang ² ; Han, Lang ⁴ ; Wang, Qiu-Feng ² ; Qi, Hua ¹ ; Yang, Meng ² ; Liu, Zhao-Gang ² ; Dou, Xiao-Jun ² ; Ma, Le-Xin ² ; Chen, Shi-Ping ⁵ ; Liu, Shao-Min ⁶ ; Wang, Hui-Min ² ; Yan, Jun-Hua ⁷ ; Tan, Jun-Lei ⁸ ; Zhang, Fa-Wei ⁹ ; Zhao, Feng-Hua ² ; Li, Ying-Nian ⁹ ; Zhang, Yi-Ping ¹⁰ ; Shi, Pei-Li ² ; Zhu, Jiao-Jun ¹¹ ; Wu, Jia-Bing ¹¹ ; Zhao, Zhong-Hui ¹² ; Hao, Yan-Bin ¹³ ; Sha, Li-Qing ¹ ; Zhang, Yu-Cui ¹⁴ ; Jiang, Shi-Cheng ¹⁵ ; Gu, Feng-Xue ¹⁶ ; Wu, Zhi-Xiang ¹⁷ ; Zhang, Yang-Jian ² ; Zhou, Li ¹⁸ ; Tang, Ya-Kun ¹⁹ ; Jia, Bing-Rui ¹ ; Li, Yu-Qiang ⁸ ; Song, Qing-Hai ¹⁰ ; Dong, Gang ²⁰ ; Gao, Yan-Hong ⁸ ; De Jiang, Zheng ¹¹ ; Sun, Dan ¹ ; Wang, Jian-Lin ²¹ ; He, Qi-Hua ²² ; Li, Xin-Hu ²³ ; Wang, Fei ²⁴ ; Wei, Wen-Xue ²⁵ ; Deng, Zheng-Miao ²⁵ ; Hao, Xiang-Xiang ²⁶ ; Liu, Xiao-Li ²⁷ ; Zhang, Xi-Feng ²⁸ ; Zhu, Zhi-Lin ² ;

作者机构： 1.Shenyang Agr Univ, Coll Agron, Shenyang 110866, Peoples R China

2.Chinese Acad Sci, Synth Res Ctr Chinese Ecosyst Res Network, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China

3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China

4.Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin 300072, Peoples R China

5.Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Inst Bot, Beijing 100093, Peoples R China

6.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China

7.Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Peoples R China

8.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China

9.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810008, Peoples R China

10.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Mengla 666303, Peoples R China

11.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China

12.Cent South Univ Forestry & Technol, Changsha 410004, Peoples R China

13.Univ Chinese Acad Sci, Beijing 100049, Peoples R China

14.Chinese Acad Sci, Ctr Agr Resources Res, Inst Genet & Dev Biol, Shijiazhuang 050021, Peoples R China

15.Northeast Normal Univ, Changchun 130024, Peoples R China

16.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China

17.Chinese Acad Trop Agr Sci, Rubber Res Inst, Haikou 570100, Peoples R China

18.Chinese Acad Meteorol Sci, China Meteorol Adm, Beijing 100081, Peoples R China

19.Northwest A&F Univ, Yangling 712100, Peoples R China

20.Shanxi Univ, Taiyuan 030006, Peoples R China

21.Qingdao Agr Univ, Qingdao 266109, Peoples R China

22.Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China

23.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China

24.Inner Mongolia Agr Univ, Hohhot 010018, Peoples R China

25.Chinese Acad Sci, Inst Subtrop Agr, Changsha 410125, Peoples R China

26.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Peoples R China

27.Chinese Acad Sci, Inst Soil Sci, Nanjing 210008, Peoples R China

28.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China

29.Liaoning Panjin Wetland Ecosyst Natl Observat & Re, Shenyang 110866, Peoples R China

30.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China

关键词： Carbon cycles; Eddy covariance; Terrestrial ecosystems; Machine learning; Ecosystem responses

期刊名称：AGRICULTURAL AND FOREST METEOROLOGY （ 影响因子：6.2； 五年影响因子：6.9 ）

ISSN： 0168-1923

年卷期： 2023 年 343 卷

页码：

收录情况： SCI

摘要： The annual gross primary productivity (AGPP) forms the foundation for terrestrial carbon sink. AGPP trends stem from the combined impacts of environmental factors and ecosystem responses to those factors. These responses include model structure modifications altering both the structural properties (represented by leaf area index) and the functional properties (represented by per leaf AGPP). Understanding the contributions of ecosystem responses to AGPP trends is crucial for accurately assessing spatiotemporal variations in AGPP, which aids in effective carbon management. Based on eddy covariance measurements of AGPP in China, we generated AGPP during 2000-2020 by constructing yearly AGPP mapping schemes from site measurements and analyzed AGPP trends. The roles of ecosystem responses and their pathways were further elucidated by employing analysis of variance. Results showed that the total AGPP in China was 7.39 +/- 0.62 PgC yr(-1), with an increasing trend of 0.095 PgC yr(-2). This increase primarily sourced from the total AGPP in Subtropical Evergreen Needleleaf Forest. AGPP trends spatially decreased from east to west, with most regions showing positive values. Structural and functional properties contributed similarly to AGPP trends, with varying regional contributions. The structural properties played a dominant role in north regions while the functional properties were more important in south and west regions. Ecosystem responses similarly determined the trends of ecosystem properties, which decreased from west to east. Ecosystem responses thus dominated AGPP trends through the structural properties in north regions but through the functional properties in south and west regions. Therefore, Chinese AGPP exhibited a spatially varied increasing trend during 2000-2020. Ecosystem responses dominated AGPP trends through divergent properties across regions. Our results highlight the significanc of ecosystem responses in AGPP trends and their divergent pathways across regions. This also provides independent data support for quantifying regional carbon budgets.