DOI: 10.1175/JCLI-D-14-00692.1
Scopus记录号: 2-s2.0-84962536561
论文题名: Vegetation dynamics on the Tibetan Plateau (1982-2006): An attribution by ecohydrological diagnostics
作者: Cai D. ; Fraedrich K. ; Sielmann F. ; Zhang L. ; Zhu X. ; Guo S. ; Guan Y.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2015
卷: 28, 期: 11 起始页码: 4576
结束页码: 4584
语种: 英语
Scopus关键词: Digital storage
; Heat storage
; Land use
; Remote sensing
; Space optics
; Tungsten compounds
; Vegetation
; Atmosphere-land interactions
; Bimodal distribution
; Joint distributions
; Mountainous regions
; Normalized difference vegetation index
; Vegetation condition
; Vegetation greenness
; Vegetation-atmosphere interactions
; Climate change
; atmosphere-biosphere interaction
; complex terrain
; ecohydrology
; energy flux
; land use
; mountain region
; NDVI
; topographic effect
; two-dimensional modeling
; vegetation dynamics
; China
; Qinghai-Xizang Plateau
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. © 2015 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50384
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China; Max-Planck-Institute for Meteorology, Hamburg, Germany; Meteorological Institute, University of Hamburg, Hamburg, Germany; KlimaCampus, Hamburg University, Hamburg, Germany
Recommended Citation:
Cai D.,Fraedrich K.,Sielmann F.,et al. Vegetation dynamics on the Tibetan Plateau (1982-2006): An attribution by ecohydrological diagnostics[J]. Journal of Climate,2015-01-01,28(11)