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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

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

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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%.
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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