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广西森林植被GPP时空格局及驱动因素分析

Spatial temporal pattern and driving factors of forest vegetation GPP in Guangxi
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摘要 本文基于MODIS森林植被总初级生产力(GPP)数据,结合气候数据、土地覆被数据,采用趋势分析和统计分析等方法,探讨2000—2021年广西森林植被GPP的时空特征及驱动因素。结果表明:在时间趋势上,2000—2021年,广西森林植被年GPP总量及年GPP均值(多年的GPP均值)总体上均呈现上升态势;在空间分布上,森林植被GPP存在空间异质性,年GPP均值最高的地区为梧州市,最低的地区是河池市和桂林市;在空间趋势性上,森林植被GPP显著上升、下降区域占比分别为49.79%和0.76%,无显著变化区域占比为49.45%;森林植被GPP呈显著上升的区域主要分布在广西北部地区。另外,气温和降水对森林植被GPP均值的影响呈现明显的空间分异特征。 Based on MODIS data of GPP of forest vegetation,combined with climate and land cover data,this paper uses trend analysis and statistical analysis to explore the spatial temporal pattern and driving factors of forest vegetation GPP in Guangxi from 2000 to 2021.The results show that in terms of time trend,annual amount GPP and annual mean GPP of forest vegetation in Guangxi show an increasing trend.In terms of spatial distribution,GPP of forest vegetation in Guangxi show spatial heterogeneity.Wuzhou City has the highest annual GPP,while Hechi City and Guilin City has the lowest.In terms of spatial trend,the proportion of forest vegetation GPP increased and decreased significantly is 49.79%and 0.76%,respectively,and the proportion of no significant change is 49.45%.The GPP of forest vegetation in Guangxi increase significantly from 2000 to 2021,mainly in the northern region of Guangxi.The effects of temperature and precipitation on the mean GPP of forest vegetation show obvious spatial differentiation.
作者 陈炽荣 CHEN Chirong(Dongguan Institute of Surveying and Mapping,Dongguan,Guangdong 523000,China)
机构地区 东莞市测绘院
出处 《测绘标准化》 2023年第3期187-192,共6页 Standardization of Surveying and Mapping
关键词 森林植被 总初级生产力 时空特征 驱动因素 forest vegetation gross primary productivity spatio temporal characteristics driving factors
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