The Research Of The Net Primary Productivity And Its Response Of Climate Change In Jiangxi Province

Net Primary Productivity of vegetation is an important part of material circulation and energy flow in the terrestrial ecosystem research, it is not only the most important part of the global carbon cycle research, but also is the core scientific issues of global change research. The simulation of the net primary productivity is an important avenue to study the net primary productivity of regional scales, estimate the mutual response between the carbon flux and climate, and predict the trend of eco-environmental changes in the terrestrial ecosystem research. This article is based on the theory of solar energy utilization, constructed the GLOPEM-CEVSA net primary productivity model, analyzed the spatial and temporal distribution of the net primary productivity on the terrestrial ecosystem research in Jiangxi Province during2000to2008from the regional scales, and analyzed the relationship between terrestrial vegetation productivity and climate in Jiangxi Province by the interpolation of meteorological data, remote sensing data(GIMMS) and DEM data.It has a good consistency between results of simulation and data of MODIS NPP, and data from sampling on ground, which shows that GLOPEM-CEVSA model, has certain applicability in the area of Jiangxi province. The results of simulation indicate that the average vegetation of NPP is817.56g O·m-2·a-1during2000to2008in Jiangxi Province, the total distribution trend of NPP shows a decreasing change from the east to west, where the NPP of ecology is significantly higher in the east of Yushan, Wuyuan, Dexing and other regions e than other regions in Jiangxi Province, which is generally between1200C·m-2·a-1and1500C·m-2·a-1.By using precipitation, annual temperature and NPP which simulated by GLOPEM-CEVSA mode,we studied the NPP and PUE of different vegetation types and their relationship with the precipitation and temperature, and made step analysis of different climate gradient variation of NPP and PUE. The results indicate:In the spatial scale, the annual average precipitation increased NPP has no obvious increase, NPP affected by temperature is more obvious, with annual average temperature showed a single-peak curve, the temperature at9～16℃level, NPP increases as the temperature increases, the temperature at the16～21℃level, NPP decline with temperature;NPP of the paddy field and upland which caused by LUCC were increased by2109.72Tg,503.54Tg, of which contribution rates were62.95%、76%. NPP of woodland, of which the contribution rate is65.28%, reduced by5982.87Tg. In the region where land use change doesn’t take place, NPP of paddy field and upland which was caused by climate change were increased by1010.41Tg、137.64Tg, contribution rates were0.15%、20.77%. NPP of woodland, of which the contribution rate is31.18%, reduced by2857.20Tg. The effect of land use change on NPP of three kinds of main vegetation types exceed the effects of climate change on NPP of three kinds of main vegetation types;PUE of different vegetation types have bigger difference, each vegetation type PUE, woodland> paddy> grassland> upland> wetland;GLOPEM-CEVSA models need further development taking into account the input data and the uncertainty of model parameters and quantitatively analyze the sensitivity of model parameters.