首页|沈阳市植被净初级生产力时空变化分析

沈阳市植被净初级生产力时空变化分析

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植被净初级生产力变化特征是评价生态系统健康状况和城市资源环境检测的重要依据.基于沈阳市2000-2021年的NPP数据、DEM数据与气象数据,对研究区植被净初级生产力的时空分布特性进行了定量分析,并进一步揭示了气象因素与植被NPP变化的相关关系.结果显示:①时间维度上,沈阳市2000-2021年植被年均NPP总体呈缓慢增加趋势.②空间维度上,沈阳平均植被NPP空间分布差异明显,其中东部和北部丘陵地区具有较高的NPP均值;东南部、中西部分区域主要为人类生活区,NPP年均值较低;其余大部分区域为辽阔平原且位于城市周边区域,其NPP均值处于中间水平.③年均气温主要对植被NPP产生负向的影响,年降水量主要对植被NPP产生正向的影响,且年均温对研究区植被NPP的影响比年降水量更加显著.沈阳市2000-2021年植被年均植被净初级生产力总体呈缓慢增加趋势且空间分布差异明显,全市生态系统状况较为稳定.
Analysis of Spatiotemporal Changes in Net Primary Production in Shenyang City
The change characteristics of vegetation net primary productivity is an important basis for evaluating e-cosystem health and detecting urban resources and environment.Based on NPP data,DEM data and meteorologi-cal data of Shenyang City from 2000 to 2021,this paper quantitatively analyzes the distribution characteristics of the temporal and spatial of vegetation NPP in the study area,and reveals the correlation among the meteorological factors and vegetation NPP change.The results show that:① From the time dimension,the average annual NPP in Shenyang City shows a slow increasing trend from 2000 to 2021.② In spatial dimension,the spatial distribution of average NPP in Shenyang City has obvious difference,and the mean NPP of the eastern and northern hilly are-as is higher;The southeast and central and western regions are mainly human living areas,and the annual mean value of NPP is low.Most of the remaining areas are vast plains and located in peri-urban areas,with an average NPP in the middle.③ The average annual temperature mainly has a negative impact on vegetation NPP.The an-nual precipitation mainly has a positive impact on vegetation NPP,and the average annual temperature has a more significant impact on vegetation NPP than the annual precipitation in the study area.From 2000 to 2021,the aver-age annual net primary productivity of vegetation in Shenyang City showed a slow increase trend and the spatial distribution difference was obvious.The ecological system of the city is relatively stable.

net primary productiontemporal and spatial distributioninfluence factors

刘娜、郭荣飞、刘馨蕊、张涤非、曲健

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辽宁省沈阳生态环境监测中心,辽宁 沈阳 110167

东北大学 文法学院,辽宁 沈阳 110169

植被净初级生产力 时空分布 影响因素

2024

绿色科技
花木盆景杂志社

绿色科技

影响因子:0.365
ISSN:1674-9944
年,卷(期):2024.26(4)
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