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山东省植被NPP时空变化特征及气候影响分析

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基于山东省2010-2022年MOD17A3产品数据,采用一元回归趋势分析、变异系数法、偏相关分析、Hurst指数法探讨山东省生态系统植被净初级生产力(NPP)时空分布特征及气候因子的影响。结果显示:2010-2022年山东省植被NPP呈波动上升的趋势,多年均值为(398。03±150。20)g/(m2·a),高于全国均值,与京津冀地区相近。NPP空间分布差异明显,东部沿海丘陵区高于内陆平原区域。年际变化上,山东省植被NPP整体较为稳定(Cv值为0。09)。未来植被NPP变化趋势上,正向趋势与负向趋势的面积接近,结合趋势分析,27。86%的区域呈增长趋势,33。49%的区域呈降低趋势,但由增转降的区域多集中于植被NPP较高的林地区域,需进一步研究。山东省植被NPP与气候因素有正相关关系,气温升高和降水增加有利于植被NPP的增长,但气温较降水对植被NPP有更广的显著性影响区域,且平原农作区植被NPP与气候因子相关性较差。
The spatiotemporal variation characteristics and climate impact analysis of vegetation NPP in Shandong Province
Based on MOD17A3 product data for Shandong Province from 2010 to 2022,this study uses univariate regression trend analysis,the coefficient of variation method,partial correlation analysis,and the Hurst index method to investigate the spatiotemporal distribution of vegetation net primary productivity(NPP)for the ecosystem of Shandong Province and analyze the impact of climate factors.Results demonstrate the fluctuating upward trend of vegetation NPP for Shandong Province in recent years,with an annual average of(398.03±150.20)g/(m2·a),higher than the national average and comparable with that of the Beijing-Tianjin-Hebei region.Vegetation NPP varies considerably across different areas.The vegetation NPP in the eastern coastal hilly area is higher than that in the inland plain area.With respect to interannual variation,the overall vegetation NPP in Shandong Province is relatively stable.With regard to the variation trend of vegetation NPP,the areas of positive and negative trends are equivalent.The trend analysis shows that 27.86%of the areas show an increasing trend,whereas 33.49%show a decreasing trend.However,the areas that have shifted from the increasing trend to the decreasing trend are mostly in woodland areas with high vegetation NPP levels,and further research is needed.In general,a positive correlation exists between vegetation NPP and climate factors.Temperature has a wider and more considerable impact on vegetation NPP than precipitation;moreover,the correlation between vegetation NPP and climate factors is poor in plain agricultural areas.

net primary productivity of vegetationspatiotemporal variationclimate factorsShandong Province

刘建军、孙开争、公华林、朱玉玲

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山东省济南生态环境监测中心,山东济南 250101

济南市食品药品检验检测中心,山东济南 250014

植被NPP 时空变化 气候因子 山东省

济南市碳监测评估试点项目

SDGP370100000202202001740

2024

山东科学
山东省科学院

山东科学

CSTPCD
影响因子:0.266
ISSN:1002-4026
年,卷(期):2024.37(5)