南昌市NDVI时空演化特征及其气候驱动因子分析  

Analysis of Spatiotemporal Evolution Characteristics of NDVI and Its Climate Driving Factors in Nanchang City

作　　者：徐悦 李佳潼 郭齐韵 李慧珊 吴华 XU Yue;LI Jiatong;GUO Qiyun;LI Huishan;WU Hua(Engineering College,Xizang University,Lhasa 850013,China;Joint Laboratory for Remote Sensing Monitoring of Plateau Surface Environment,Lhasa 850000,China;Nanchang Meteorological Bureau,Nanchang 330008,China)

机构地区：[1]西藏大学工学院,拉萨850013 [2]高原地表环境遥感监测联合实验室,拉萨850000 [3]南昌市气象局,南昌330008

出　　处：《森林工程》2024年第5期50-61,共12页Forest Engineering

基　　金：国家自然科学联合重点项目(U23A202579)。

摘　　要：揭示南昌市植被覆盖的演化特征和确定影响其变化趋势的主要气候驱动因子,为其长期稳定、良性发展和积极应对后续的气候变化提供指导。采用2000—2020年南昌市的NDVI月度数据、气温、降水和气压等10个气象驱动因子,利用单样本K-S(Kolmogorov-Smirnov)检验、弗里德曼检验、肯德尔和谐系数检验法等非参数检验法和随机森林分析方法,对不同驱动因子的重要性进行研究。结果表明,1)在2000—2020年南昌市的NDVI呈波动下降趋势,该峰值出现在2000年,谷值则在2010年;2)城市整体植被覆盖呈现四周高中间低的空间分布规律,北部和西部地区的NDVI值相对较高且下降速率缓慢,中部的东湖区和青山湖区等NDVI值相对较低且有明显下降趋势;3)植被覆盖的极大平均值出现在每年8月,受温度的影响最显著,而风向的影响最不显著,降水的影响有一定的时滞性,植被覆盖变化应结合多要素的共同驱动作用来决定。To reveal the evolution characteristics of vegetation cover in Nanchang City and identify the main climate drivers affecting its change trends,in order to provide guidance for its long-term stable and benign development and active response to the subsequent climate change.In this paper,NDVI monthly data and ten meteorological driving factors such as temperature,precipitation and pressure of Nanchang City from 2000 to 2020 were used to study the importance of different drivers by using single sample K-S test,Friedmann test,Kendall harmony coefficient test and random forest analysis.The results showed that,1)the NDVI of Nanchang City showed a fluctuating downward trend from 2000 to 2020,the peak appeared in 2000,while the trough occurred in 2010.2)The overall vegetation cover of the city showed a spatial distribution pattern of high perimeter and low center,with the NDVI values in the north and the west being relatively high and decreasing at a slow rate,and the NDVI values of the central areas of the city such as the East Lake District and the Castle Peak Lake District being relatively low and with an obvious downward trend.3)The great average value of the vegetation cover appeared in August each year,which was most significantly affected by temperature and least affected by wind direction,with a certain time lag influenced by precipitation,so the study of vegetation cover change should be determined by combining the driving effect of multiple elements.

关 键 词：归一化植被指数 非参数检验 随机森林 气候变化 驱动分析。 

分 类 号：S732[农业科学—林学] Q948[生物学—植物学] TP79[自动化与计算机技术—检测技术与自动化装置]