Estimation of gross primary production over the terrestrial ecosystems in China

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	Estimation of gross primary production over the terrestrial ecosystems in China
	Yu Guirui
	2013
关键词	Ecosystems Carbon dioxide Climate change Climate models Data processing Estimation Forestry Radiometers Satellite imagery Vegetation
英文摘要	Gross primary production (GPP) is of significant importance for the terrestrial carbon budget and climate change, but large uncertainties in the regional estimation of GPP still remain over the terrestrial ecosystems in China. Eddy covariance (EC) flux towers measure continuous ecosystem-level exchange of carbon dioxide (CO2) and provide a promising way to estimate GPP. We used the measurements from 32 EC sites to examine the performance of a light use efficiency model (i.e., EC-LUE) at various ecosystem types, including 23 sites in China and 9 sites in adjacent areas with the similar climate environments. No significant systematic error was found in the EC-LUE model predictions, which explained 79% and 62% of the GPP variation at the validation sites with C3 and C4 vegetation, respectively. Regional patterns of GPP at a spatial resolution of 10km10km from 2000 to 2009 were determined using the MERRA (Modern Era Retrospective-analysis for Research and Applications) reanalysis dataset and MODIS (MODerate resolution Imaging Spectroradiometer). China's terrestrial GPP decreased from southeast toward the northwest, with the highest values occurring over tropical forests areas, and the lowest values in dry regions. The annual GPP of land in China varied between 5.63PgC and 6.39PgC, with a mean value of 6.04PgC, which accounted for 4.90-6.29% of the world's total terrestrial GPP. The GPP densities of most vegetation types in China such as evergreen needleleaf forests, deciduous needleleaf forests, mixed forests, woody savannas, and permanent wetlands were much higher than the respective global GPP densities. However, a high proportion of sparsely vegetated area in China resulted in the overall low GPP. The inter-annual variability in GPP was significantly influenced by air temperature (R2=0.66, P<0.05), precipitation (R2=0.71, P<0.05), and normalized difference vegetation index (NDVI) (R2=0.83, P<0.05), respectively. 2013.
出处	Ecological Modelling
卷	261-262 页:80-92
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/31296]
专题	地理科学与资源研究所_历年回溯文献地理科学与资源研究所_生态系统研究网络观测与模拟重点实验室_CERN水分分中心
推荐引用方式 GB/T 7714	Yu Guirui. Estimation of gross primary production over the terrestrial ecosystems in China. 2013.