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利用改进的CASA模型,结合Landsat TM遥感影像及气象数据,估算榆林飞播林2010年7月的植被净初级生产力。通过实测植被生物量,验证CASA模型在研究区的估算结果。结果表明:CASA模型适用于榆林飞播林植被净初级生产力估算;CASA模型估算的不同地区NPP区别明显,榆林市横山县与榆阳区交界处的植被NPP值最高,其值介233.21～414.15gC/m2之间;榆林飞播林生态系统属于较低生产力的生态系统;沙柳的NPP水平最高,以柠条+沙柳+沙蒿为播种模式的人工林地生物量最高;除沙柳、花棒和沙蒿外,其他飞播植物生物量与含水量无明显的相关性;不同飞播年代的同种植被生物量与含水量、土壤养分以及气候等因素之间具有密切的相关性。
Using improved CASA model and Landsat TM remote sensing image and meteorological data to estimate the net primary productivity of vegetation in Yulin airborne forest in July 2010. By measuring vegetation biomass, we validated the CASA model’s estimation results in the study area. The results showed that the CASA model was suitable for estimating the net primary productivity of aerial seeding in Yulin. The difference of NPP estimated by CASA model was significant in different regions. The NPP value of the vegetation at the junction of Yanshan County and Yuyang District in Yulin City was highest, ranging from 233.21 to 414.15 gC / m2; the aerial plantation ecosystem of Yulin is a low productivity ecosystem; the highest NPP level of Salix psammophila, the highest biomass of artificial forest with Caragana korshinskii + Salix psammophila planting mode; Artemisia, other sowing plant biomass and water content of no significant correlation; different seeding years of the same vegetation biomass and water content, soil nutrients and climate and other factors are closely related.