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Spatial patterns of terrestrial net ecosystem productivity in china during 1981―2.00

Science china Earth sciences 2007年第5期50卷 745-753页

作者： tao bo1, cao mingkui1,{2.,{3., ji jinjun1,2. huang mei1 & zhang leiming1 1 institute of geographical sciences and natural resources research, Chinese Academy of sciences, beijing 100101, china 2.institute of Atmospheric Physics, Chinese Academy of sciences, beijing 100101, china 1. institute of geographical {2. and {3. resources research Chinese Academy of Sciences Beijing 100101 China 2. institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100101 China

As the third largest country in the world, china has highly variable environmental condition and eco- logical pattern in both space and time. Quantification of the spatial-temporal pattern and dynamic of terrestrial ecosystem carbon cycle in china is of great significance to regional and global carbon budget. In this study, we used a high-resolution climate database and an improved ecosystem process-based model to quantify spatio-temporal pattern and dynamic of net ecosystem productivity (NEP) in china and its responses to climate change during 1981 to 2000. The results showed that NEP increased from north to south and from northeast to southwest. Positive NEP (carbon sinks) occurred in the west of Southwest china, southeastern Tibet, Sanjiang Plain, Da Hinggan Mountains and the mid-west of North china. Negative NEP (carbon sources) were mainly found in Central china, the south of Southwest china, the north of Xinjiang, west and north of Inner Mongolia, and parts of North china. From the 1980s to 1990s, the increasing trend of NEP occurred in the middle of Northeast china Plain and the Loess Plateau and decreasing trends mainly occurred in a greater part of Central china. In the study period, natural forests had minimal carbon uptake, while grassland and shrublands accounted for nearly three fourths of the total carbon terrestrial uptakes in china during 1981―2000.

关键词： china terrestrial ecosystem carbon cycle spatial patterns climate change

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