基于GIS与RS的安徽省NPP模拟及时空分析

NPP（植被净初级生产力）的研究是全球变化的核心内容之一，是估算碳吸收量的重要依据，不仅直接反映了植被群落在自然环境条件下的生产能力，表征陆地生态系统的质量状况，而且是判定生态系统碳汇和调节生态过程的主要因子。在GIS的支持下，利用地面气象数据和MODIS数据，考虑到最大光利用率在不同植被类型中的差异，在CASA模型验证的基础上，估算了安徽省2002～2009年7月份植被净初级生产力，并分析其时空变化。结果表明：①通过与NPP实测资料及其他模型的对比，该模型估算的效果较好，数据获取上也比较容易，模型的可操作性较强。②2002～2009年的8年间，安徽省7月份平均NPP为193．99gC／m2，变化范围为182．25～199．89gC／m2。③安徽省7月份NPP值呈增加趋势，但没有达到显著的水平。④安徽省7月份NPP总体分布趋势是从南向北递减，其中山区NPP最高,水域和城市最低。

Stimulation of Net Primary Productivity and Its Spatio-temporal Patterns in Anhui Province Based on GIS and RS

Net Primary Productivity and its response to climate change is one of the core of global change, is an important basis to estimate the carbon uptake. Not only reflect the production capacity of the vegetation communities under natural environmental conditions, characterize the quality status of terrestrial ecosystems, but also is the main factor to determine ecosystem carbon exchange and the regulation of ecological processes. With the support of GIS, using the surface meteorological data and MODIS data, take into account the difference of the maximum light utilization in different vegetation types, on the basis of the CASA model validation, vegetation net primary productivity in Anhui Province in July of 2002 and 2009 was evaluated, and the temporal and spatial variation was analyzed. The results show that ： ① Compared with NPP measured data and other models, CASA model estimates better, data acquisition is also relatively easy and has strong operability. ② During 2002 -2009, the average NPP of Anhui Province in July is 193.99 gC/m2, ranges from182.25 gC/m2 to 199.89 gC/m2. ③ NPP is an in- creasing trend, but did not reach significant levels. ④ NPP overall distribution trend decrease from south to north in July in Anhui Province, NPP in mountainous area is maximum, water and urban is minimum.