利用修正的CASA模型模拟了锡林浩特典型草原区的区域生产力,从研究区的DEM中提取了三种主要的地形因子(海拔高度、坡度和坡向),分析了研究区这三种地形的特征,进而研究了三种地形的各自分级类型上的NPP;随机提取了研究区的1000个点,用Pearson相关来检测分级地形的NPP分布结果.两种研究均表明,地形因子对NPP有明显的生态影响,海拔高度、坡度和坡向均有利于NPP的增长.%Topography factors can influence the redistribution of water and hot in the local land, and then make impact onto the distribution of Net Primary Productivity (NPP) in the small area. In order to analyze the relationship between grassland NPP and landform factors, the regional productivity of the typical steppe in Xilinhot was simulated by using the modified CASA model, three main terrain factors in the whole study area from DEM were taken, namely altitude, slope and aspect, the features of these three terrains in the research area were analyzed, and then the NPP distribution on the gradient of three terrains were observed. Through randomly extracting 1000 points in the study area and using Pearson correlation, the previous results of NPP distribution were verified. From the two different perspectives, it could be indicated that the terrain factors had the obvious ecological effects on regional NPP, and showed that altitude, slope and aspect all could be conducive to the growth of grassland NPP in the typical steppe.
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