Satellite-based monitoring of China's above-ground biomass carbon sink from 2015 to 2021

被引:0
作者
Fang, Hongqian [1 ,2 ]
Fan, Lei [1 ,2 ]
Ciais, Philippe [3 ]
Xiao, Jingfeng [4 ]
Fensholt, Rasmus [5 ]
Chen, Jingming [6 ]
Ju, Weimin [8 ]
Niu, Shuli [9 ,10 ]
Xiao, Xiangming [11 ]
Yuan, Wenping [12 ]
Xia, Jiangzhou [13 ]
Li, Xin [14 ,15 ]
Liu, Liangyun [16 ]
Qin, Yuanwei [11 ]
Chang, Zhongbing [17 ]
Yu, Ling [1 ,2 ]
Dong, Guanyu [1 ,2 ]
Cui, Tianxiang [18 ]
Li, Xiaojun [7 ]
Wigneron, Jean-Pierre [7 ]
Frappart, Frederic [7 ]
机构
[1] Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat & R, Chongqing 400715, Peoples R China
[2] Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data App, Sch Geog Sci, Chongqing 400715, Peoples R China
[3] Univ Paris Saclay, CNRS, Lab Sci Climat & Environm, UVSQ,CEA,LSCE IPSL, F-91191 Gif Sur Yvette, France
[4] Univ New Hampshire, Inst Study Earth Oceans & Space, Earth Syst Res Ctr, Durham, NH 03824 USA
[5] Univ Copenhagen, Dept Geosci & Nat Resource Management, Copenhagen, Denmark
[6] Univ Toronto, Dept Geog & Program Planning, Toronto, ON M5S 3G3, Canada
[7] Univ Bordeaux, INRAE, ISPA, UMR1391, F-33140 Villenave Dornon, France
[8] Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China
[9] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
[10] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
[11] Univ Oklahoma, Ctr Earth Observat & Modeling, Dept Microbiol & Plant Biol, Norman, OK 73019 USA
[12] Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disast, Guangzhou, Peoples R China
[13] Tianjin Normal Univ, Tianjin Key Lab Water Resources & Environm, Tianjin, Peoples R China
[14] Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, State Key Lab Tibetan Plateau Earth Syst, Beijing 100101, Peoples R China
[15] Univ Chinese Acad Sci, Beijing 100101, Peoples R China
[16] Aerosp Informat Res Inst, Chinese Acad Sci, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
[17] Inst Lands & Resource, Dept Guangdong Prov, Key Lab Nat Resources Monitoring Trop & Subtrop Ar, Guangzhou 510663, Peoples R China
[18] Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing 210042, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
China; Ecological restoration; Forest growth; Carbon sink; Remote sensing; Aboveground biomass; FOREST BIOMASS; TERRESTRIAL ECOSYSTEMS; SEQUESTRATION; DIOXIDE; DENSITY; CANOPY; DRIVEN; GROWTH; AGE;
D O I
10.1016/j.agrformet.2024.110172
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
China's terrestrial ecosystems are pivotal in upholding the global carbon balance, with their recognized capacity for carbon sequestration holding significant importance on a global scale, but there are still challenges in accurately monitoring its spatial-temporal patterns. SMOSMAP-IB L-VOD, a recently developed low-frequency Lband Vegetation Optical Depth (L-VOD) product, was employed to monitor the fluctuations in aboveground vegetation carbon stock over China between 2015 and 2021, and to investigate the influence of forest age and ecological restoration projects on China's carbon sink capacity. The carbon sink of above-ground vegetation in China was +169.98+179.44 carbon sink capacity, contrasting with lower values per unit area are mainly found in northwestern China. The forest served as the foremost contributor to the carbon sink of above-ground vegetation in China, although their carbon density peaked in the middle-aged forests and then gradually decreased as the age of the forest grew. Furthermore, carbon sink areas were observed in most regions where ecological restoration projects were implemented, indicating that the execution of afforestation and ecological restoration initiatives has proven effective in carbon sequestration, creating a sink in these areas. Our results provide an improved foundation for formulating new afforestation policies in the future.
引用
收藏
页数:11
相关论文
共 73 条
  • [21] Global maps of twenty-first century forest carbon fluxes
    Harris, Nancy L.
    Gibbs, David A.
    Baccini, Alessandro
    Birdsey, Richard A.
    de Bruin, Sytze
    Farina, Mary
    Fatoyinbo, Lola
    Hansen, Matthew C.
    Herold, Martin
    Houghton, Richard A.
    Potapov, Peter V.
    Suarez, Daniela Requena
    Roman-Cuesta, Rosa M.
    Saatchi, Sassan S.
    Slay, Christy M.
    Turubanova, Svetlana A.
    Tyukavina, Alexandra
    [J]. NATURE CLIMATE CHANGE, 2021, 11 (03) : 234 - 240
  • [22] Estimating the Aboveground Dry Biomass of Grass by Assimilation of Retrieved LAI Into a Crop Growth Model
    He, Binbin
    Li, Xing
    Quan, Xingwen
    Qiu, Shi
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (02) : 550 - 561
  • [23] Altered trends in carbon uptake in China's terrestrial ecosystems under the enhanced summer monsoon and warming hiatus
    He, Honglin
    Wang, Shaoqiang
    Zhang, Li
    Wang, Junbang
    Ren, Xiaoli
    Zhou, Lei
    Piao, Shilong
    Yan, Hao
    Ju, Weimin
    Gu, Fengxue
    Yu, Shiyong
    Yang, Yuanhe
    Wang, Miaomiao
    Niu, Zhongen
    Ge, Rong
    Yan, Huimin
    Huang, Mei
    Zhou, Guoyi
    Bai, Yongfei
    Xie, Zongqiang
    Tang, Zhiyao
    Wu, Bingfang
    Zhang, Leiming
    He, Nianpeng
    Wang, Qiufeng
    Yu, Guirui
    [J]. NATIONAL SCIENCE REVIEW, 2019, 6 (03) : 505 - 514
  • [24] Relationships between net primary productivity and forest stand age in U.S. forests
    He, Liming
    Chen, Jing M.
    Pan, Yude
    Birdsey, Richard
    Kattge, Jens
    [J]. GLOBAL BIOGEOCHEMICAL CYCLES, 2012, 26
  • [25] The ERA5 global reanalysis
    Hersbach, Hans
    Bell, Bill
    Berrisford, Paul
    Hirahara, Shoji
    Horanyi, Andras
    Munoz-Sabater, Joaquin
    Nicolas, Julien
    Peubey, Carole
    Radu, Raluca
    Schepers, Dinand
    Simmons, Adrian
    Soci, Cornel
    Abdalla, Saleh
    Abellan, Xavier
    Balsamo, Gianpaolo
    Bechtold, Peter
    Biavati, Gionata
    Bidlot, Jean
    Bonavita, Massimo
    De Chiara, Giovanna
    Dahlgren, Per
    Dee, Dick
    Diamantakis, Michail
    Dragani, Rossana
    Flemming, Johannes
    Forbes, Richard
    Fuentes, Manuel
    Geer, Alan
    Haimberger, Leo
    Healy, Sean
    Hogan, Robin J.
    Holm, Elias
    Janiskova, Marta
    Keeley, Sarah
    Laloyaux, Patrick
    Lopez, Philippe
    Lupu, Cristina
    Radnoti, Gabor
    de Rosnay, Patricia
    Rozum, Iryna
    Vamborg, Freja
    Villaume, Sebastien
    Thepaut, Jean-Noel
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2020, 146 (730) : 1999 - 2049
  • [26] Integration of multi-resource remotely sensed data and allometric models for forest aboveground biomass estimation in China
    Huang, Huabing
    Liu, Caixia
    Wang, Xiaoyi
    Zhou, Xiaolu
    Gong, Peng
    [J]. REMOTE SENSING OF ENVIRONMENT, 2019, 221 : 225 - 234
  • [27] A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches
    Jiang, Fei
    Chen, Jing M.
    Zhou, Lingxi
    Ju, Weimin
    Zhang, Huifang
    Machida, Toshinobu
    Ciais, Philippe
    Peters, Wouter
    Wang, Hengmao
    Chen, Baozhang
    Liu, Lixin
    Zhang, Chunhua
    Matsueda, Hidekazu
    Sawa, Yousuke
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [28] Net exchanges of methane and carbon dioxide on the Qinghai-Tibetan Plateau from 1979 to 2100
    Jin, Zhenong
    Zhuang, Qianlai
    He, Jin-Sheng
    Zhu, Xudong
    Song, Weimin
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2015, 10 (08):
  • [29] Macro to micro: microwave remote sensing of plant water content for physiology and ecology
    Konings, Alexandra G.
    Rao, Krishna
    Steele-Dunne, Susan C.
    [J]. NEW PHYTOLOGIST, 2019, 223 (03) : 1166 - 1172
  • [30] The relative contributions of forest growth and areal expansion to forest biomass carbon
    Li, P.
    Zhu, J.
    Hu, H.
    Guo, Z.
    Pan, Y.
    Birdsey, R.
    Fang, J.
    [J]. BIOGEOSCIENCES, 2016, 13 (02) : 375 - 388