Characterizing Spatiotemporal Pattern of Vegetation Greenness Breakpoints on Tibetan Plateau Using GIMMS NDVI3g Dataset
文献类型：期刊论文
| 作者 | Ni, Yong1,2,4; Zhou, Yuke5; Fan, Junfu3 |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2020 |
| 卷号 | 8页码:56518-56527 |
| 关键词 | Tibetan Plateau (TP) greening and browning breakpoints seasonal-trend model GIMMS NDVI3g |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2020.2982661 |
| 通讯作者 | Zhou, Yuke(zhouyk@igsnrr.ac.cn) ; Fan, Junfu(fanjf@sdut.edu.cn) |
| 英文摘要 | Due to the harsh natural environment on the Tibetan Plateau (TP), its vegetation is sensitive to climate change. Therefore, it is essential to characterize long-term vegetation shifts for understanding of land surface processes across the TP. Gradual greening or browning growth in vegetation greenness is detectable while the alternating process between greening and browning, its timing, and type remain unclear. In this paper, breakpoint in time series of a satellite-derived vegetation index was detected at pixel-level during 1982-2012. The long-term growth procedure of vegetation was then characterized by combining the greening/browning trend for the two sub-periods, on each side of the breakpoint. The combinations of greening/browning status were classified into three categories (monotonic, interrupted and growth reversal). Possible causes for abrupt vegetation changes are discussed in the content of climate change and grassland management. Results show that breakpoints are temporally widely distributed and have significant spatial heterogeneity. About 21 & x0025; (11 & x0025;) of the vegetated area showed significant greening (browning) trends. Vegetation in central and eastern TP has tended to be greening. Browning trends were particularly evident in the southern and northeastern TP and were scarce in the west. About 32 & x0025; of the vegetation was found to change significantly in this analysis. Greening trends occurred more often than browning trends and exhibited both a monotonic and an interrupted growing process. Trend reversal in vegetation was dominated by declining trends. Breakpoints in monotonic and interrupted trends were concentrated in some time points, but those with reversal trends were discretely distributed over time span. Among different ecosystem types, desert ecosystems presented the most significant greening trends, accounting for 53 & x0025; of plant-covered desert. Conspicuous degraded trends were identified on alpine sparse vegetated area. Statistically, breakpoints in precipitation and air temperature are not consistent with those in vegetation greenness index. And grazing projects have not posed a significant effect on abrupt shifts in vegetation greenness. |
| WOS关键词 | SATELLITE DATA ; INDEX NDVI ; PRECIPITATION ; DISTURBANCE ; TRENDS ; VARIABILITY ; IMPACTS ; SYSTEM ; ENERGY ; CYCLE |
| 资助项目 | National Key Research and Development Program[2018YFB0505301] ; National Key Research and Development Program[2016YFC0500103] ; National Natural Science Foundation of China[41601478] ; National Natural Science Foundation of China[41771380] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou[GML2019ZD0301] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000527411700059 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Program ; National Natural Science Foundation 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/311030/159664]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhou, Yuke; Fan, Junfu |
| 作者单位 | 1.China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255049, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ni, Yong,Zhou, Yuke,Fan, Junfu. Characterizing Spatiotemporal Pattern of Vegetation Greenness Breakpoints on Tibetan Plateau Using GIMMS NDVI3g Dataset[J]. IEEE ACCESS,2020,8:56518-56527. |
| APA | Ni, Yong,Zhou, Yuke,&Fan, Junfu.(2020).Characterizing Spatiotemporal Pattern of Vegetation Greenness Breakpoints on Tibetan Plateau Using GIMMS NDVI3g Dataset.IEEE ACCESS,8,56518-56527. |
| MLA | Ni, Yong,et al."Characterizing Spatiotemporal Pattern of Vegetation Greenness Breakpoints on Tibetan Plateau Using GIMMS NDVI3g Dataset".IEEE ACCESS 8(2020):56518-56527. |
入库方式： OAI收割
来源：地理科学与资源研究所
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