Spatial-temporal dynamics of potential grassland vegetation in China under the global climate change scenarios
Grasslands are the dominant landscape in China, accounting for 40% of the national land area. Net primary production (NPP), the difference between CO2 fixed by photosynthesis and CO2 lost to autotrophic respiration, is one of the most important components of the carbon cycle. The distribution of NPP for potential grassland vegetation classes under present climate conditions was simulated by a classification indices model based on the Integrated Orderly Classification System (IOCS). To simulate the spatial distribution patterns and characteristics of different grassland classes during the about recent 50 years from 1950 to 2000 and the 50 years from 2001 to 2050 in future, the two kinds of global climatic datasets were used in this study. One is the monthly precipitation and mean temperature grid dataset (a 30 arc second spatial resolution) for global land areas excluding Antarctica over 50 years from 1950 to 2000, which were generated using the thin-plate smoothing spline algorithm implemented in ANUSPLIN software package by weather stations from a large number of global, regional, national, and local sources, mostly from the 1950-2000 period. The other is the 30 arcseconds resolution global monthly precipitation and mean temperature prediction dataset excluding Antarctica during the period 2001 to 2050 under A2a and B2a scenarios, which was simulated by the Australias Commonwealth Scientific and Industrial Research Organisation (CSIRO). Using ArcGIS software package, the foregoing global monthly climatic data were processed, and the mean annual cumulative temperature over 0℃, mean annual precipitation, and humidity index grid databases were generated. Based on the Integrated Orderly Classification System (IOCS) approach, we simulated the spatial change dynamic databases of broad grassland vegetation categories and classes during the two periods, and estimated the spatial change databases for grassland NPP using the classification indices-based model. Late 20th century total NPP for Chinese potential grassland vegetation using the classification indices-based model are estimated to be 0.8 Pg C/yr, comparable with previous studies. The model estimated anl4.6% and 18.5% increase in Chinese total NPP for Chinese potential grassland vegetation from 2001 to 2050 based on A2a and B2a scenarios, respectively.
Hui Long Lin Qi Sheng Feng Ying Jun Zhang
Key Laboratory of Grassland Agro-ecosystems Ministry of Agriculture, College of Pastoral Agriculture Department of Grassland Science, China Agricultural University,Beijing, 100193, PR China
国际会议
The Workshop of Sustainable Grassland Management in China and Australia(中国--澳大利亚可持续性草地管理研讨会)
乌鲁木齐
英文
3
2011-08-01（万方平台首次上网日期，不代表论文的发表时间）