DOI: 10.1175/JCLI-D-13-00674.1
Scopus记录号: 2-s2.0-84903388715
论文题名: Climate and vegetation: An ERA-Interim and GIMMS NDVI analysis
作者: Cai D. ; Fraedrich K. ; Sielmann F. ; Guan Y. ; Guo S. ; Zhang L. ; Zhu X.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期: 13 起始页码: 5111
结束页码: 5118
语种: 英语
Scopus关键词: Budget control
; Forestry
; Pixels
; Remote sensing
; Space optics
; Atmosphere-land interactions
; Climate variability
; Frequency distributions
; Global inventories
; Interannual variability
; Normalized difference vegetation index
; Temperate forests
; Water budget
; Vegetation
; annual variation
; atmosphere-biosphere interaction
; climate variation
; NDVI
; remote sensing
; temperate forest
; tropical forest
; vegetation structure
; water budget
; Forestry
; Plants
; Remote Sensing
; Water
英文摘要: To complement geographical presentation of remote sensing vegetation information, the authors apply Budyko's physical state space diagram to analyze functional climate relations. As an example, the authors use Interim ECMWF Re-Analysis (ERA-Interim) global weather data to provide the statistics (1982-2006) of climate states in a two-dimensional state space spanned by water demand (net radiation N) versus water/energy limitation (dryness ratio D of net radiation over precipitation). Embedding remote sensing-based Global Inventory Modeling and Mapping Studies (GIMMS) data [normalized difference vegetation index (NDVI) > 0.1] shows the following results: (i) A bimodal frequency distribution of unit areas (pixels) is aligned near D̃1 but separated meridionally, associated with higher and lower net radiation. (ii) Vegetation states are represented as (N, D, NDVI) triplets that reveal temperate and tropical forests crossing the border (D ̃ 1) separating energy- and water-limited climates but unexpectedly show that they also exist in marginal regions (few pixels) of large dryness. (iii) Interannual variability of dryness is lowest where the largest climate mean NDVI values of greenness (forests) occur. The authors conclude that the combined (N, D, NDVI) analysis based on climate means has shown that tropical and temperate forests (NDVI > 0.6) are (i) not restricted to the energy-limited domain D < 1 (extending into the water-limited surface climate regime) and (ii) associated with low interannual variability of dryness. Thus, measures of interannual variability may be included in Budyko's classical framework of geobotanic analysis of surface climates. © 2014 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51126
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China; Max Planck Institute for Meteorology, Hamburg, 20146, Germany; University of the Chinese Academy of Sciences, Beijing, China; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China; KlimaCampus, University of Hamburg, Hamburg, Germany; Max Planck Institute for Meteorology, Hamburg, Germany
Recommended Citation:
Cai D.,Fraedrich K.,Sielmann F.,et al. Climate and vegetation: An ERA-Interim and GIMMS NDVI analysis[J]. Journal of Climate,2014-01-01,27(13)