Vegetation Dynamics on the Tibetan Plateau (1982-2006): An Attribution by Ecohydrological Diagnostics | |
Cai, Danlu1; Fraedrich, Klaus1; Sielmann, Frank1; Zhang, Ling1; Zhu, Xiuhua1; Guo, Shan1; Guan, Yanning1 | |
刊名 | JOURNAL OF CLIMATE |
2015 | |
卷号 | 28期号:11页码:5785-5804 |
通讯作者 | Guan, YN (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beigen West Rd 1, Beijing 100101, Peoples R China. |
英文摘要 | Vegetation greenness distributions [based on remote sensing normalized difference vegetation index (NDVI)] and their change are analyzed as functional vegetation-climate relations in a two-dimensional ecohydrological state space spanned by surface flux ratios of energy excess (U; loss by sensible heat H over supply by net radiation N) versus water excess (W; loss by discharge Ro over gain by precipitation P). An ecohydrological ansatz attributes state change trajectories in (U, W) space to external (or climate) and internal (or anthropogenic) causes jointly with vegetation greenness interpreted as an active tracer. Selecting the Tibetan Plateau with its complex topographic, climate, and vegetation conditions as target area, ERA-Interim weather data link geographic and (U, W) state space, into which local remote sensing Global Inventory Modeling and Mapping Studies (GIMMS) data (NDVI) are embedded; a first and second period (1982-93 and 1994-2006) are chosen for change attribution analysis. The study revealed the following results: 1) State space statistics are characterized by a bimodal distribution with two distinct geobotanic regimes (semidesert and steppe) of low and moderate vegetation greenness separated by gaps at aridity D ~ 2 (net radiation over precipitation) and greenness NDVI ~ 0.3. 2) Changes between the first and second period are attributed to external (about 70%) and internal (30%) processes. 3) Attribution conditioned joint distributions of NDVI (and its change) show 38.2% decreasing (61.8% increasing) area cover with low (moderate) greenness while high greenness areas are slightly reduced. 4) Water surplus regions benefit most from climate change (showing vegetation greenness growth) while the energy surplus change is ambiguous, because ecohydrological diagnostics attributes high mountainous regions (such as the Himalayas) as internal without considering the heat storage deficit due to increasing vegetation. |
研究领域[WOS] | Meteorology & Atmospheric Sciences |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000355125900015 |
内容类型 | 期刊论文 |
源URL | [http://ir.ceode.ac.cn/handle/183411/38193] |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1.[Cai, Danlu 2.Guo, Shan 3.Guan, Yanning] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 4.[Cai, Danlu 5.Fraedrich, Klaus 6.Zhang, Ling] Max Planck Inst Meteorol, D-20146 Hamburg, Germany 7.[Sielmann, Frank] Univ Hamburg, Inst Meteorol, Hamburg, Germany 8.[Zhu, Xiuhua] Univ Hamburg, Hamburg, Germany |
推荐引用方式 GB/T 7714 | Cai, Danlu,Fraedrich, Klaus,Sielmann, Frank,et al. Vegetation Dynamics on the Tibetan Plateau (1982-2006): An Attribution by Ecohydrological Diagnostics[J]. JOURNAL OF CLIMATE,2015,28(11):5785-5804. |
APA | Cai, Danlu.,Fraedrich, Klaus.,Sielmann, Frank.,Zhang, Ling.,Zhu, Xiuhua.,...&Guan, Yanning.(2015).Vegetation Dynamics on the Tibetan Plateau (1982-2006): An Attribution by Ecohydrological Diagnostics.JOURNAL OF CLIMATE,28(11),5785-5804. |
MLA | Cai, Danlu,et al."Vegetation Dynamics on the Tibetan Plateau (1982-2006): An Attribution by Ecohydrological Diagnostics".JOURNAL OF CLIMATE 28.11(2015):5785-5804. |
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