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Bidirectional drought-related canopy dynamics across pantropical forests: a satellite-based statistical analysis
Liu, Liyang1,2,3,4; Gong, Fanxi1,2; Chen, Xiuzhi1,2; Su, Yongxian3; Fan, Lei5; Wu, Shengbiao6; Yang, Xueqin1,3; Zhang, Jing1,2; Yuan, Wenping1,2; Ciais, Philippe4; Zhou, Chenghu3,7
2021-07-22
Source PublicationREMOTE SENSING IN ECOLOGY AND CONSERVATION
Pages20
Corresponding AuthorChen, Xiuzhi(chenxzh73@mail.sysu.edu.cn)
AbstractDroughts cause extreme anomalies in tropical forest growth, but the direction and magnitude of tropical forests in response to droughts are still widely debated. Here, we used four satellite-based canopy growth proxies (CGPs), including three optical and one passive microwave, and in situ fluxes observations from eddy covariance (EC) measurements for a retrospective investigation of the impacts of historical droughts on tropical forest growth from a statistical point of view. Results indicate two opposite directions in drought-related canopy dynamics across pantropical forests. The canopy of tropical forests with higher CGPs is more vulnerable to drought stress and recovers faster in the post-drought recovery period. In contrast, the canopy of tropical forests with lower CGPs increases during the drought period and declines in the subsequent recovery period, which is beyond general expectation. In situ measurements from eddy-covariance flux towers showed that forests with higher gross primary production and latent heat flux decreased photosynthesis and evapotranspiration during the drought period but increased photosynthesis and evapotranspiration faster during the post-drought recovery period, supporting the findings from satellite observations. Our statistical analysis against climatic factors predicts that higher-CGPs tress with probably taller and bigger canopies are more responsive to shortage of water availability caused by drought; while lower-CGPs tress with shorter and smaller canopies are more responsive to sunlight availability and tend to increase their canopy leaves and enhance photosynthesis in sunnier days during the drought period. Our results highlight the differences in tropical forests in responding to drought stress, which are worth incorporated in Earth system models for time-series evaluations.
KeywordCanopy variability climate change drought satellite remote sensing tropical forests tropical phenology
DOI10.1002/rse2.229
WOS KeywordINDUCED CHLOROPHYLL FLUORESCENCE ; TROPICAL FORESTS ; AMAZON FORESTS ; WATER-STRESS ; CARBON-CYCLE ; VEGETATION DYNAMICS ; LEAF-AREA ; CLIMATE ; GREENNESS ; SENSITIVITY
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFA0602701] ; National Natural Science Foundation of China[31971458] ; National Natural Science Foundation of China[41971275] ; Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)[311021009] ; Guangdong Basic and Applied Basic Research Foundation[2020A151501091] ; GDAS Special Project of Science and Technology Development[2020GDASYL-20200102002]
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) ; Guangdong Basic and Applied Basic Research Foundation ; GDAS Special Project of Science and Technology Development
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing
WOS SubjectEcology ; Remote Sensing
WOS IDWOS:000675707700001
PublisherWILEY
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/163706
Collection中国科学院地理科学与资源研究所
Corresponding AuthorChen, Xiuzhi
Affiliation1.Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou 510275, Peoples R China
2.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China
3.Guangzhou Inst Geog, Guangdong Open Lab Geospatial Informat Technol &, Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangzhou 510070, Peoples R China
4.Univ Paris Saclay, Lab Sci Climat & Environm, CNRS, IPSL,CEA,UVSQ, F-91191 Gif Sur Yvette, France
5.Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat &, Chongqing 400715, Peoples R China
6.Univ Hong Kong, Sch Biol Sci, Pokfulam, Hong Kong, Peoples R China
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Liu, Liyang,Gong, Fanxi,Chen, Xiuzhi,et al. Bidirectional drought-related canopy dynamics across pantropical forests: a satellite-based statistical analysis[J]. REMOTE SENSING IN ECOLOGY AND CONSERVATION,2021:20.
APA Liu, Liyang.,Gong, Fanxi.,Chen, Xiuzhi.,Su, Yongxian.,Fan, Lei.,...&Zhou, Chenghu.(2021).Bidirectional drought-related canopy dynamics across pantropical forests: a satellite-based statistical analysis.REMOTE SENSING IN ECOLOGY AND CONSERVATION,20.
MLA Liu, Liyang,et al."Bidirectional drought-related canopy dynamics across pantropical forests: a satellite-based statistical analysis".REMOTE SENSING IN ECOLOGY AND CONSERVATION (2021):20.
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