本文排版定稿已在中国知网网络首发,如需阅读全文请打开知网首页,并搜索该论文题目即可查看。
2000—2020年滇中城市群植被NPP时空动态及驱动因子分析
Spatio-temporal Dynamics of Vegetation Net Primary Productivity and Driving Mechanism in Urban Agglomeration in Central Yunnan
-
摘要: 以2000—2020年滇中城市群MOD17A3HGF数据为基础,从气候、地形及人类活动因子分析滇中城市群NPP动态变化的驱动机制,揭示滇中城市群NPP变化的特征和规律。结果表明:从时间维度分析,2000—2020年滇中城市群植被NPP年均值达861.26 g/(m2·a),以4.33 g/(m2·a)态势增长;从空间维度分析,滇中城市群呈现“西南高、东北低”的分布格局,高值区集中于中西部及西南部,低值区主要分布于北部及东北部;驱动因子中,年均降水量和人口密度始终最具解释力,而年均气温与坡向的驱动作用最弱。因子交互作用均表现为双因子增强或非线性增强,其中土地利用与气候因子(如降水量、湿度)的交互效应尤为突出。Abstract: This study uses trend analysis based on MOD17A3HGF data for the Central Yunnan Urban Agglomeration from 2000 to 2020 to reveal the characteristics and patterns of NPP variation within the region.The driving mechanisms behind these dynamic changes were also examined by analyzing climatic, topographic, and anthropogenic factors. The results indicate that: temporally, the average annual vegetation NPP from 2000 to 2020 was 861.26 g C·m-2·a-1, showing an increasing trend at a rate of 4.33 g C·m-2·a-1; spatially, NPP values were generally higher in the southwestern part and lower in the northeastern part, with high-value areas concentrated in the central-western and southwestern regions, and low-value areas mainly distributed in the northern and northeastern regions. Among the driving factors, annual precipitation and population density consistently exhibited the strongest explanatory power, while annual mean temperature and slope aspect had the weakest driving effects. All factor interactions showed either two-factor enhancement or nonlinear enhancement, with particularly notable synergistic effects between land use and climatic factors such as precipitation and humidity.
下载: