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Tropical tall forests are more sensitive and vulnerable to drought than short forests.
Liu, Liyang; Chen, Xiuzhi; Ciais, Philippe; Yuan, Wenping; Maignan, Fabienne; Wu, Jin; Piao, Shilong; Wang, Ying-Ping; Wigneron, Jean-Pierre; Fan, Lei; Gentine, Pierre; Yang, Xueqin; Gong, Fanxi; Liu, Hui; Wang, Chen; Tang, Xuli; Yang, Hui; Ye, Qing; He, Bin; Shang, Jiali; Su, Yongxian.
Afiliación
  • Liu L; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China.
  • Chen X; Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, China.
  • Ciais P; Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France.
  • Yuan W; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China.
  • Maignan F; Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France.
  • Wu J; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China.
  • Piao S; Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France.
  • Wang YP; School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.
  • Wigneron JP; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.
  • Fan L; CSIRO Oceans and Atmosphere, Aspendale, Victoria, Australia.
  • Gentine P; ISPA, UMR 1391, INRA Nouvelle-Aquitaine, Bordeaux Villenave d'Ornon, France.
  • Yang X; Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, China.
  • Gong F; Department of Earth & Environmental Engineering, Columbia University, New York, New York, USA.
  • Liu H; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China.
  • Wang C; Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, China.
  • Tang X; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China.
  • Yang H; South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
  • Ye Q; South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
  • He B; South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
  • Shang J; Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France.
  • Su Y; South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
Glob Chang Biol ; 28(4): 1583-1595, 2022 02.
Article en En | MEDLINE | ID: mdl-34854168
ABSTRACT
Our limited understanding of the impacts of drought on tropical forests significantly impedes our ability in accurately predicting the impacts of climate change on this biome. Here, we investigated the impact of drought on the dynamics of forest canopies with different heights using time-series records of remotely sensed Ku-band vegetation optical depth (Ku-VOD), a proxy of top-canopy foliar mass and water content, and separated the signal of Ku-VOD changes into drought-induced reductions and subsequent non-drought gains. Both drought-induced reductions and non-drought increases in Ku-VOD varied significantly with canopy height. Taller tropical forests experienced greater relative Ku-VOD reductions during drought and larger non-drought increases than shorter forests, but the net effect of drought was more negative in the taller forests. Meta-analysis of in situ hydraulic traits supports the hypothesis that taller tropical forests are more vulnerable to drought stress due to smaller xylem-transport safety margins. Additionally, Ku-VOD of taller forests showed larger reductions due to increased atmospheric dryness, as assessed by vapor pressure deficit, and showed larger gains in response to enhanced water supply than shorter forests. Including the height-dependent variation of hydraulic transport in ecosystem models will improve the simulated response of tropical forests to drought.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ecosistema / Sequías Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ecosistema / Sequías Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Idioma: En Año: 2022 Tipo del documento: Article