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Dominant role of the non-forest woody vegetation in the post 2015/16 El Niño tropical carbon recovery.
Fan, Lei; Cui, Tianxiang; Wigneron, Jean-Pierre; Ciais, Philippe; Sitch, Stephen; Brandt, Martin; Li, Xin; Niu, Shuli; Xiao, Xiangming; Chave, Jérome; Wu, Chaoyang; Li, Wei; Yuan, Wenping; Xing, Zanpin; Li, Xiaojun; Wang, Mengjia; Liu, Xiangzhuo; Chen, Xiuzhi; Qin, Yuanwei; Yang, Hui; Tang, Qiang; Li, Yuechen; Ma, Mingguo; Fensholt, Rasmus.
Afiliação
  • Fan L; Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, China.
  • Cui T; Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
  • Wigneron JP; INRAE, Bordeaux Sciences Agro, UMR 1391 ISPA, Villenave-d'Ornon, France.
  • Ciais P; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
  • Sitch S; College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
  • Brandt M; Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.
  • Li X; Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
  • Niu S; Key Laboratory of Ecosystem Network Observation and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
  • Xiao X; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
  • Chave J; Plant Biology, Center for Earth Observation and Modeling, University of Oklahoma, Norman, Oklahoma, USA.
  • Wu C; Diversité Biologique, CNRS, IRD, UT3, Université Paul Sabatier, Toulouse, France.
  • Li W; Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
  • Yuan W; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.
  • Xing Z; Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.
  • Li X; INRAE, Bordeaux Sciences Agro, UMR 1391 ISPA, Villenave-d'Ornon, France.
  • Wang M; Cryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resource, Chinese Academy of Sciences, Lanzhou, China.
  • Liu X; INRAE, Bordeaux Sciences Agro, UMR 1391 ISPA, Villenave-d'Ornon, France.
  • Chen X; School of Geoscience and Technology, Zhengzhou University, Zhengzhou, China.
  • Qin Y; INRAE, Bordeaux Sciences Agro, UMR 1391 ISPA, Villenave-d'Ornon, France.
  • Yang H; Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China.
  • Tang Q; Plant Biology, Center for Earth Observation and Modeling, University of Oklahoma, Norman, Oklahoma, USA.
  • Li Y; Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Ma M; Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, China.
  • Fensholt R; Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, China.
Glob Chang Biol ; 30(7): e17423, 2024 Jul.
Article em En | MEDLINE | ID: mdl-39010751
ABSTRACT
The extreme dry and hot 2015/16 El Niño episode caused large losses in tropical live aboveground carbon (AGC) stocks. Followed by climatic conditions conducive to high vegetation productivity since 2016, tropical AGC are expected to recover from large losses during the El Niño episode; however, the recovery rate and its spatial distribution remain unknown. Here, we used low-frequency microwave satellite data to track AGC changes, and showed that tropical AGC stocks returned to pre-El Niño levels by the end of 2020, resulting in an AGC sink of 0.18 0.14 0.26 $$ {0.18}_{0.14}^{0.26} $$ Pg C year-1 during 2014-2020. This sink was dominated by strong AGC increases ( 0.61 0.49 0.84 $$ {0.61}_{0.49}^{0.84} $$ Pg C year-1) in non-forest woody vegetation during 2016-2020, compensating the forest AGC losses attributed to the El Niño event, forest loss, and degradation. Our findings highlight that non-forest woody vegetation is an increasingly important contributor to interannual to decadal variability in the global carbon cycle.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Clima Tropical / Carbono / El Niño Oscilação Sul Idioma: En Revista: Glob Chang Biol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Clima Tropical / Carbono / El Niño Oscilação Sul Idioma: En Revista: Glob Chang Biol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China