首页|2000-2020年喀什地区植被净初级生产力时空变化及其驱动因素研究

2000-2020年喀什地区植被净初级生产力时空变化及其驱动因素研究

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为全面且定量地掌握喀什地区植被生态系统生长变化状况,基于MODIS17A3 数据集,利用趋势分析、地统计分析、相关性分析等方法,研究 2000-2020 年喀什地区植被净初级生产力(Net Primary Productivity,NPP)的时空变化特征及其驱动因素.结果表明,近 20 a喀什地区植被NPP均值为126.160 g C/(m2·a),标准差为 15.801 g C/(m2·a);20 a喀什地区NPP整体呈缓慢增长趋势,但2010 年NPP值发生突变,此次突变与降水量关系密切;喀什地区植被NPP有明显的空间自相关性和空间异质性,变异系数为 0.050~4.344,莫兰指数为 0.910,NPP高值较为集中地分布于水源丰富的绿洲地带.喀什地区近 20 a植被生长状况持续向好,在近 20 a植被NPP时空变化中,海拔、坡度和年降水量等结构型因素发挥决定性作用.
Research on Spatiotemporal Variation and Driving Factors of Net Primary Productivity of Vegetation in Kashi Region from 2000 to 2020
In order to comprehensively and quantitatively grasp the growth and changes of vegetation ecosystem in Kashi region,based on the MODIS17A3 dataset,this paper uses trend analysis,geostatistical analysis,correlation analysis and other methods to study the spatiotemporal variation characteristics and driving factors of Net Primary Productivity(NPP)of vegetation in Kashi region from 2000 to 2020.The results show that the average NPP of vegetation in Kashi region in the past 20 years was 126.160 g C/(m2·a),with a standard deviation of 15.801 g C/(m2·a);in the past 20 years,the overall NPP in Kashi region showed a slow growth trend,but in 2010,there was a sudden change in NPP values,which was closely related to precipitation;the vegetation NPP in Kashi region shows significant spatial autocorrelation and heterogeneity,with a coefficient of variation of 0.050~4.344 and a Moran index of 0.910,and high NPP values are concentrated in oasis areas with abundant water sources.The vegetation growth in the Kashi region has continued to improve over the past 20 years,and structural factors such as altitude,slope,and annual precipitation have played a decisive role in the spatiotemporal variation of vegetation NPP.

vegetationNet Primary Productivity(NPP)spatiotemporal variationdriving factorscorrelation analysistrend analysisgeostatistical analysisKashi region

朱敏、木合塔尔·艾买提、阿力木·依明、努尔比亚·阿布都克尤木

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喀什大学生命与地理科学学院,新疆 喀什 844099

植被 净初级生产力(NPP) 时空变化 驱动因素 相关性分析 趋势分析 地统计分析 喀什地区

国家自然科学基金国家自然科学基金校级科研项目

U170334141764003172605

2024

中国资源综合利用
徐州北矿金属循环利用研究所 中国物资再生协会

中国资源综合利用

CHSSCD
影响因子:0.358
ISSN:1008-9500
年,卷(期):2024.42(4)
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