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Revisiting vegetation activity of Mongolian Plateau using multiple remote sensing datasets

文献类型：期刊论文

作者Bai, Yu2,3; Li, Shenggong2,4; Zhou, Junxiong1; Liu, Menghang3,5; Guo, Qun2,4
刊名AGRICULTURAL AND FOREST METEOROLOGY
出版日期2023-10-15
卷号341页码:14
ISSN号0168-1923
关键词Vegetation activity Mongolian Plateau Climate change Spatio-temporal change
DOI10.1016/j.agrformet.2023.109649
通讯作者Li, Shenggong(lisg@igsnrr.ac.cn)
英文摘要In-depth understanding of the changes and characteristics of vegetation activity on the Mongolian Plateau (MP) is essential to address climate change in temperate regions and even globally, but the seasonal dynamics and spatial patterns of vegetation activity have not been fully investigated. To this end, we used different types of satellite vegetation datasets from 2001 to 2020, namely, gross primary production (GPP), solar-induced chlorophyll fluorescence (SIF), and normalized difference vegetation index (NDVI), in conjunction with environmental factor datasets, then we investigated the interaction between vegetation activity of the MP and environmental factors. The spatial pattern of vegetation activity in JJA exhibited obvious spatial heterogeneity, which mainly manifested that strong vegetation activity occurred mostly in the northeast and north MP, while weak vegetation activity occurred in the southeast MP, and this pattern was closely related to hydrothermal conditions. Vegetation activity mainly exhibited an increasing or stable trend on the MP in JJA. By exploring the changes in JJA vegetation activity and its trends over the last 20 years, we found that vegetation activity in the study area is predominantly positively correlated with temperature (Tem) and negatively correlated with vapor pressure deficit (VPD) and deep soil moisture (SM). Additionally, the trends of wind speed, solar radiation, and deep SM made significant contributions to the trend in vegetation activity, suggesting that water availability has an important influence on vegetation change. Clarifying the effects of environmental factors on vegetation activity is fundamental to understanding the impact of climate change on vegetation.
WOS关键词GROSS PRIMARY PRODUCTIVITY ; INDUCED CHLOROPHYLL FLUORESCENCE ; CARBON-DIOXIDE FLUXES ; PLANT PHENOLOGY ; CLIMATE-CHANGE ; LONG-TERM ; GRASSLAND ; DYNAMICS ; GROWTH ; TEMPERATURE
资助项目National Natural Science Foundation of China[31961143022] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA2003020202]
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种英语
出版者ELSEVIER
WOS记录号WOS:001052064500001
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/196687]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Shenggong
作者单位1.Univ Minnesota Twin Cities, Dept Bioprod & Biosyst Engn, St Paul, MN 55108 USA
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, 11 Datun Rd, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Bai, Yu,Li, Shenggong,Zhou, Junxiong,et al. Revisiting vegetation activity of Mongolian Plateau using multiple remote sensing datasets[J]. AGRICULTURAL AND FOREST METEOROLOGY,2023,341:14.
APA Bai, Yu,Li, Shenggong,Zhou, Junxiong,Liu, Menghang,&Guo, Qun.(2023).Revisiting vegetation activity of Mongolian Plateau using multiple remote sensing datasets.AGRICULTURAL AND FOREST METEOROLOGY,341,14.
MLA Bai, Yu,et al."Revisiting vegetation activity of Mongolian Plateau using multiple remote sensing datasets".AGRICULTURAL AND FOREST METEOROLOGY 341(2023):14.

入库方式： OAI收割

来源：地理科学与资源研究所

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