DocumentCode
2127934
Title
Estimation of NPP in Western China using remote sensing and the C-Fix model
Author
Lu, L. ; Li, X. ; Veroustraete, F. ; Dong, Q.H.
Author_Institution
Cold & Arid Regions Environ. & Eng. Res. Inst., Chinese Acad. of Sci., Lanzhou, China
Volume
1
fYear
2004
fDate
20-24 Sept. 2004
Lastpage
15
Abstract
Net primary productivity (NPP) is a key component of the terrestrial carbon cycle. The accurate estimation of NPP on regional and global scale is crucial for the studies of global change. In this paper, the Monteith type parametric model-C-Fix, the 1 km SPOT4/VEGETATION data as well as the global meteorological data provided by Meteo France were used to estimate NPP of the terrestrial ecosystems in Western China (73°-112°E, 26°-50°N) for the year of 2002. The total yearly NPP of Western China was estimated at 0.96 P (=1015)g C in 2002, but the total mean NPP was only equal to 168 g C/m2/year over the study area of 4.5 million km2. The spatial pattern of the annual accumulated NPP as well as the monthly dynamics of NPP in Western China were illustrated and descript in detail. In addition, the NPP-values in the annual accumulated level and the mean level for the different ecosystems were evaluated by using the newest 1:1M land-use map of Western China. The results showed that the spatial and temporal patterns of NPP in Western China are attributable to the complex interaction between natural environment, various climates and human activities. Although Western China has a large area of land, the total mean NPP level is very low due to the hard natural conditions. Among them, the restricted water resource is the main element to control the NPP of Western China.
Keywords
carbon; global warming; meteorology; remote sensing; AD 2002; C-Fix model; Meteo France; Monteith type parametric model; NPP estimation; SPOT4/VEGETATION data; Systeme Pour I´Observation de la Terre; Western China; climate; global meteorological data; human activity; land-use map; natural environment; net primary productivity; regional/global scale; remote sensing; spatial/temporal pattern; terrestrial carbon cycle; terrestrial ecosystem; water resource; Atmospheric modeling; Content addressable storage; Ecosystems; Global warming; Humans; Meteorology; Parametric statistics; Productivity; Remote sensing; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1368932
Filename
1368932
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