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Estimating grassland aboveground biomass on the Tibetan Plateau using a random forest algorithm
Zeng, Na1,2; Ren, Xiaoli1; He, Honglin1,3; Zhang, Li1,3; Zhao, Dan4; Ge, Rong1,2; Li, Pan5; Niu, Zhongen1,2
2019-07-01
Source PublicationECOLOGICAL INDICATORS
ISSN1470-160X
Volume102Pages:479-487
Corresponding AuthorRen, Xiaoli(renxl@igsnrr.ac.cn) ; He, Honglin(hehl@igsnrr.ac.cn)
AbstractEffective and accurate monitoring of grassland aboveground biomass (AGB) is necessary for improving our understanding of regional carbon cycle and pastoral agricultural management. In this study, we developed a suitable AGB estimation model for the Tibetan alpine grasslands based on the random forest algorithm, using 256 AGB observation data, remote sensing vegetation indices, meteorological data, and topographical data. We estimated the grassland AGB on the Tibetan Plateau during 2000-2014, analyzed its spatiotemporal changes, and further explored the response of AGB to the variation in climatic factors. The results indicated that (1) the RF model performed well in the AGB estimation, which can explain 86% of the variation of the observation data. (2) The grassland AGB decreased from the southeast to the northwest in this region, with an average value of 77.12 gm(-2). (3) In the whole study area, the grassland AGB showed significantly positive correlation with temperature and precipitation. The correlation between grassland AGB and MAP was 0.54 (P < 0.05), much higher than that of MAT (R = 0.38, P < 0.05). (4) The inter-annual variation of AGB on the Tibetan Plateau was significantly and positively correlated with temperature (R-2 = 0.45, P < 0.05). This study demonstrated that RF model can help improve our understanding of the spatiotemporal dynamics of the grassland AGB and the effects of climate variation.
KeywordAboveground biomass (AGB) The Tibetan Plateau Random Forest (RF) Mean annual temperature (MAT) Mean annual precipitation (MAP)
DOI10.1016/j.ecolind.2019.02.023
WOS KeywordLIVESTOCK-CARRYING-CAPACITY ; PRECIPITATION GRADIENT ; CARBON STORAGE ; CLIMATE-CHANGE ; TIME-SERIES ; VEGETATION ; CHINA ; ECOSYSTEMS ; EVAPOTRANSPIRATION ; PRODUCTIVITY
Indexed BySCI
Language英语
Funding ProjectNational Key Research and development program of China[2015CB954102] ; National Basic Work of Science and Technology[2015FY110700] ; National Natural Science Foundation of China[41571424] ; National Natural Science Foundation of China[31700417] ; National Natural Science Foundation of China[41601478] ; Science and Technology Service Network Initiative of Chinese Academy of Science[KFJ-SW-STS-167]
Funding OrganizationNational Key Research and development program of China ; National Basic Work of Science and Technology ; National Natural Science Foundation of China ; Science and Technology Service Network Initiative of Chinese Academy of Science
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Environmental Sciences
WOS IDWOS:000470964500047
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/59255
Collection中国科学院地理科学与资源研究所
Corresponding AuthorRen, Xiaoli; He, Honglin
Affiliation1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
5.Tianjin Univ, Inst Surface Earth Syst Sci, Tianjin 300072, Peoples R China
Recommended Citation
GB/T 7714
Zeng, Na,Ren, Xiaoli,He, Honglin,et al. Estimating grassland aboveground biomass on the Tibetan Plateau using a random forest algorithm[J]. ECOLOGICAL INDICATORS,2019,102:479-487.
APA Zeng, Na.,Ren, Xiaoli.,He, Honglin.,Zhang, Li.,Zhao, Dan.,...&Niu, Zhongen.(2019).Estimating grassland aboveground biomass on the Tibetan Plateau using a random forest algorithm.ECOLOGICAL INDICATORS,102,479-487.
MLA Zeng, Na,et al."Estimating grassland aboveground biomass on the Tibetan Plateau using a random forest algorithm".ECOLOGICAL INDICATORS 102(2019):479-487.
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