Assessment of varying changes of vegetation and the response to climatic factors using GIMMS NDVI3g on the Tibetan Plateau
文献类型:期刊论文
作者 | Zhou, Yuke1,2; Fan, Junfu3; Wang, Xiaoying4 |
刊名 | PLOS ONE
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出版日期 | 2020-06-17 |
卷号 | 15期号:6页码:25 |
ISSN号 | 1932-6203 |
DOI | 10.1371/journal.pone.0234848 |
通讯作者 | Fan, Junfu(fanjf@sdut.edu.cn) |
英文摘要 | Under the context of global climate change, vegetation on the Tibetan Plateau (TP) has experienced significant changes during the past three decades. In this study, the spatiotemporal changes of growing season vegetation index (GSVI) on the TP were analyzed using various methods from pixel level to ecoregion level. In addition, a relative importance approach was employed to investigate the regulating effect of temperature and precipitation on vegetation. During the period of 1982-2012, vegetation on the TP was generally experiencing a greening trend, but with pronounced fluctuations. The interannual variation of the long-term GSVI was most significant in the Qaidam Basin and southern forest. At ecoregion scale, vegetation in the arid and frigid arid zones showed a browning tendency, with other ecoregions presenting greener trends. Over a large proportion of the TP, there exist change points in the GSVI time series, which were mainly concentered around the year 1996 and 2000. The Hurst exponent identified that a majority (88%) of the vegetation on the plateau would maintain a persistent trend in the future, which would mainly consist of undetermined development and greening trends. TP vegetation during the 1990s experienced more greening than in the 1980s or 2000s according to the interdecadal analysis. The long-term change in growing season vegetation was most positively correlated with the temperature during the same period, followed by the temperature in the preseason and postseason periods. There were more negative relationships of vegetation change with precipitation than with temperature. The relative contribution of the temperature to the vegetation changes exhibited an opposite spatial pattern to that of precipitation. Overall, the findings in this work provide an essential archive of decade-scale vegetation dynamics that may be helpful for projecting the future ecosystem dynamics on the Tibetan Plateau, such as the consistent greening. |
WOS关键词 | QINGHAI-TIBET ; MANN-KENDALL ; TREND ANALYSIS ; TIME-SERIES ; PRECIPITATION ; DYNAMICS ; CHINA ; TEMPERATURE ; HOMOGENEITY ; PHENOLOGY |
资助项目 | National Key R&D Program of China[2018YFB0505301] ; National Key R&D Program of China[2016YFC0500103] ; National Key R&D Program of China[2017YFB0503500] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)[GML2019ZD0301] |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
WOS记录号 | WOS:000542759600023 |
出版者 | PUBLIC LIBRARY SCIENCE |
资助机构 | National Key R&D Program of China ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/162334] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Fan, Junfu |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 2.Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou, Peoples R China 3.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo, Peoples R China 4.CMA, Inst Atmospher Environm, Shenyang, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou, Yuke,Fan, Junfu,Wang, Xiaoying. Assessment of varying changes of vegetation and the response to climatic factors using GIMMS NDVI3g on the Tibetan Plateau[J]. PLOS ONE,2020,15(6):25. |
APA | Zhou, Yuke,Fan, Junfu,&Wang, Xiaoying.(2020).Assessment of varying changes of vegetation and the response to climatic factors using GIMMS NDVI3g on the Tibetan Plateau.PLOS ONE,15(6),25. |
MLA | Zhou, Yuke,et al."Assessment of varying changes of vegetation and the response to climatic factors using GIMMS NDVI3g on the Tibetan Plateau".PLOS ONE 15.6(2020):25. |
入库方式: OAI收割
来源:地理科学与资源研究所
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