改进CASA模型在内蒙古草地生产力估算中的应用  

Application of improved CASA model in productivity evaluation of grassland in Inner Mongolia

作　　者：李刚[1] 辛晓平[1] 王道龙[2] 石瑞香[3] 

机构地区：[1]中国农业科学院农业资源与农业区划研究所资源遥感与数字农业重点开放实验室 [2]中国农业科学院农业资源与农业区划研究所,北京100081 [3]中国科学院地理科学与资源研究所,北京100101

出　　处：《生态学杂志》2007年第12期2100-2106,共7页Chinese Journal of Ecology

基　　金："863"计划项目(2002AA10Z241;2007AA10Z230);国家科技支撑计划资助项目(2006BAD16B05-2;2006BAC01A12)

摘　　要：CASA(Carnegie-Ames-Stanford Approach)模型是针对北美地区植被而建立的净第一性生产力(NPP)模型,本文通过修改CASA模型参数(PAR、FPAR),使之成为适合草地NPP估算的模型。采用改进后的CASA模型计算了2003年内蒙古草地生长季的生产力,并利用2003年7和8月的地面实测样方数据对改进后的模型进行验证。结果表明,2003年内蒙古草地生长季总的第一性生产量为28.59×1012gC,利用改进后的CASA模型模拟的NPP值与地面实测值基本一致。除了温性荒漠类草地退化程度大于Ⅱ度时误差较大外,其它草地类型模拟的精度>80%,未退化草甸草原和典型草原的模拟精度达到90%。CASA （Carnegie-Ames-Stanford Approach） model was built to evaluate the net primary productivity （NPP） of vegetations in North America, while in this paper, the parameters PAR and FPAR of the model were modified to make it suitable to estimate the NPP of grassland. With the improved model, the NPP of grassland in Inner Mongolia in growth season of 2003 was estimated, and validated by the field survey data of July and August in the same year. The results showed that the estimated NPP of grassland in Inner Mongolia in growth season of 2003 was 28. 59 × 10^12 g C, which was basically consistent with the field survey data. Except for the temperate desert grassland with a degradation grade higher than Ⅱ , the accuracy of the model for un- degraded meadow grassland and typical grassland was about 90%, and that for the other types of grassland was about 80%.

关 键 词：CASA模型 草地生产力 太阳辐射 光能利用率 内蒙古 

分 类 号：S812[农业科学—草业科学]