2001—2010年黄河流域生态系统植被净第一性生产力变化及气候因素驱动分析

基于MODIS-NDVI遥感数据，利用CASA模型分析黄河流域2001—2010年植被净第一性生产力（NPP）的空间分布格局，并结合同期气温和降水量数据，分别从不同空间和时间尺度上分析了黄河流域6种生态系统类型区域植被NPP的变化趋势，并对其与气候因素的相关关系进行分析.结果表明： 植被NPP空间分布呈西北低、东南高的分布特征，平均NPP年总量为108.53 Tg C，植被NPP的分布与生态系统类型呈现较高的相关性；2001—2010年，植被NPP总体呈上升趋势但波动较大，55.4%的面积呈现增加趋势，不同生态系统类型区域呈现不同的变化趋势；在年际水平上，黄河流域植被NPP变化与气候因素没有显著相关性，但在月际水平上呈现了较高的相关性，降水量和气温对植被NPP变化的影响作用相当；不同生态系统类型对气候因素呈现不同的相关性质以及时滞效应，草地对降水量的响应存在一定程度的时滞效应，荒漠对气温存在时滞效应.

Change of vegetation net primary productivity in Yellow River watersheds from 2001 to 2010 and its climatic driving factors analysis.

Based on the MODIS-NDVI remotely sensed imagery, this paper analyzed the spatial distribution of vegetation net primary production (NPP) calculated by CASA model in Yellow River watersheds from 2001 to 2010. Associated with the temperature and precipitation data in the same period, this article respectively analyzed the change trends of vegetation NPP in six ecosystems with different spatial and temporal scales, and the relationship between NPP and climate factors. The results indicated that in terms of spatial scale, the vegetation NPP gradually reduced from northwest to southeast, the average of annual NPP was 108.53 Tg C, and the spatial distribution of vegetation NPP was highly related with the land cover types. In terms of temporal scale, the vegetation NPP gradually increased from 2001 to 2010, but this change trend had large differences in these regions. On annual level, the vegetation NPP had no significant correlation with climate factors, but precipitation and temperature had considerable impacts on the vegetation NPP on monthly level. The correlations between NPP and climate factors were different in different ecosystems, so did the time lag effect of the climate factors. The air temperature response of the NPP variation was relatively sensitive in forest ecosystem and the precipitation response was significant in grassland and wetland ecosystems. Additionally, the precipitation response of the NPP variation in grassland ecosystem had time lag effect and so did the air temperature response in desert ecosystem.