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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

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

net primary productivity of vegetationCASA modelspace-time distributionhigh spatial resolutionJinan

刘建军、赵立健、杨晓钰、姜腾龙、孙开争

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山东省济南生态环境监测中心,济南 250101

济南市生态环境数字化应用中心,济南 250101

植被净初级生产力 CASA模型 时空分布 高空间分辨率 济南市

济南市碳监测评估试点项目

SDGP370100000202202001740

2024

亚热带资源与环境学报
福建师范大学

亚热带资源与环境学报

CSTPCD
影响因子:0.425
ISSN:1673-7105
年,卷(期):2024.19(2)
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