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Nonlinear variations of forest leaf area index over China during 1982-2010 based on EEMD method
Yin, Yunhe1; Ma, Danyang1,2; Wu, Shaohong1; Dai, Erfu1; Zhu, Zaichun3; Myneni, Ranga B.4
2017-06-01
Source PublicationINTERNATIONAL JOURNAL OF BIOMETEOROLOGY
ISSN0020-7128
Volume61Issue:6Pages:977-988
Corresponding AuthorYin, Yunhe(yinyh@igsnrr.ac.cn)
AbstractVariations in leaf area index (LAI) are critical to research on forest ecosystem structure and function, especially carbon and water cycle, and their responses to climate change. Using the ensemble empirical mode decomposition (EEMD) method and global inventory modeling and mapping studies (GIMMS) LAI3g dataset from 1982 to 2010, we analyzed the nonlinear feature and spatial difference of forest LAI variability over China for the past 29 years in this paper. Results indicated that the national-averaged forest LAI was characterized by quasi-3- and quasi-7-year oscillations, which generally exhibited a rising trend with an increasing rate. When compared with 1982, forest LAI change by 2010 was more evident than that by 1990 and 2000. The largest increment of forest LAI occurred in Central and South China, while along the southeastern coastal areas LAI increased at the fastest pace. During the study period, forest LAI experienced from decrease to increase or vice versa across much of China and varied monotonically for only a few areas. Focusing on regional-averaged trend processes, almost all eco-geographical regions showed continuously increasing trends in forest LAI with different magnitudes and speeds, other than tropical humid region and temperate humid/subhumid region, where LAI decreased initially and increased afterwards.
KeywordLeaf area index Forest Variations EEMD method
DOI10.1007/s00484-016-1277-x
WOS KeywordVEGETATION GREENING TREND ; LAND-SURFACE MODELS ; TIME-SERIES ; INTERANNUAL VARIABILITY ; CLIMATE-CHANGE ; TEMPERATURE ; LAI ; UNCERTAINTY ; NITROGEN ; DYNAMICS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41571043] ; National Natural Science Foundation of China[41530749] ; National Science and Technology Support Program[2012BAC19B02]
Funding OrganizationNational Natural Science Foundation of China ; National Science and Technology Support Program
WOS Research AreaBiophysics ; Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences ; Physiology
WOS SubjectBiophysics ; Environmental Sciences ; Meteorology & Atmospheric Sciences ; Physiology
WOS IDWOS:000402459700002
PublisherSPRINGER
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/63467
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYin, Yunhe
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, 11A,Datun Rd, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
3.Peking Univ, Sinofrench Inst Earth Syst Sci, Coll Urban & Environm Sci, 5 Yiheyuan Rd, Beijing 100871, Peoples R China
4.Boston Univ, Dept Earth & Environm, 675 Commonwealth Ave, Boston, MA 02215 USA
Recommended Citation
GB/T 7714
Yin, Yunhe,Ma, Danyang,Wu, Shaohong,et al. Nonlinear variations of forest leaf area index over China during 1982-2010 based on EEMD method[J]. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY,2017,61(6):977-988.
APA Yin, Yunhe,Ma, Danyang,Wu, Shaohong,Dai, Erfu,Zhu, Zaichun,&Myneni, Ranga B..(2017).Nonlinear variations of forest leaf area index over China during 1982-2010 based on EEMD method.INTERNATIONAL JOURNAL OF BIOMETEOROLOGY,61(6),977-988.
MLA Yin, Yunhe,et al."Nonlinear variations of forest leaf area index over China during 1982-2010 based on EEMD method".INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 61.6(2017):977-988.
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