基于卫星遥感的济南市植被净初级生产力的时空变化特征

Spatial-temporal Variation of Net Primary Productivity of Vegetation in Jinan Based on Satellite Remote Sensing

基于改进的光能利用率模型(CASA模型),综合利用多源卫星数据,估算了2021年济南市年度和月度的高空间分辨率(30 m)的植被净初级生产力(NPP),分析了植被NPP的时空分布特征。结果表明:济南市植被NPP均值为239.04 g•m^(-2)•a^(-1),空间上呈现南部山区高北部平原低的分布特征;年内植被NPP呈现出先升后降的“单峰型”特点,8月份达到峰值,季节差异明显,夏季植被NPP占全年贡献率达到58.06%。相关性分析显示,气温较降水对植被NPP影响更大;混交林是植被NPP最大的植被类型,耕地和阔叶林是济南市植被NPP总量贡献的主要植被类型,占比达到了66.22%。

Based on the improved CASA Model,the annual and monthly high spatial resolution(30 m)net primary productivity(NPP)of 2021 Jinan was estimated through using a combination of multi-source satellite data.Also the temporal and spatial distribution characteristics of vegetation NPP were analyzed.The results showed that,the mean value of NPP in Jinan was 239.04 g•m^(-2)•a^(-1),which showed the spatial distribution characteristics of high and low in the southern mountain area of northern plain.The annual vegetation NPP showed a single-peak pattern,which first increased and then decreased,and reached its peak in August,with obvious seasonal difference.The contribution of summer vegetation NPP to the annual NPP reached 58.06%.The correlation analysis showed that temperature had more influence on vegetation NPP than precipitation.Mixed forest is the largest vegetation type of NPP,and arable land and broad-leaved forest were the main types of vegetation in Jinan,accounting for 66.22%of the total NPP.