首页|基于地理探测器的山地城市植被净初级生产力时空演变及驱动因素研究——以重庆市为例

基于地理探测器的山地城市植被净初级生产力时空演变及驱动因素研究——以重庆市为例

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为探究植被净初级生产力(net primary productivity,NPP)时空演变特征和主要驱动情况,本研究基于2000-2020 年的GLASS-NPP数据,并结合气象、高程(digital elevation model,DEM)、人口密度、土地利用和归一化植被指数(normalized difference vegetation index,NDVI)数据,采用趋势分析、相关性分析和地理探测器模型,定量研究了重庆市2000-2020 年间植被NPP的时空演变和影响因子的驱动情况.结果表明:1)2000-2020 年,重庆市植被NPP随时间变化呈现出波动上升的趋势,值处于567.56~756.32 g·C/m2/a之间.2)在空间上呈现出"两高一低"的分布状况,全市植被NPP最高值为 968.34 g·C/m2/a,最低值为76.23 g·C/m2/a.3)重庆市植被NPP与气温、降水之间均存在显著的相关性,相关系数的均值分别为-0.22和0.31.4)对重庆市植被NPP起主导作用的影响因子为植被覆盖因子、气温因子、海拔因子,并且任意两个因子之间的作用表现为非线性增强,表明多因子之间交互作用为协同交互.文章旨在为地方监测森林植被高质量发展和同类型城市实施生态环境保护提供科技支撑和行动参考.
Research on the Temporal and Spatial Evolution and Driving Factors of Net Primary Productivity of Vegetation in Mountain Cities Based on Geographic Detectors——Taking Chongqing as an Example
In order to explore the temporal and spatial evolution characteristics and main driving conditions of net primary productivity(NPP)of vegetation in Chongqing,using trend analysis,correlation analysis and geographic detector model,this study quantitatively studies the spatiotemporal evolution of vegetation NPP and the driving conditions of influencing factors in Chongqing during 2000-2020,based on the GLASS-NPP data from 2000 to 2020 as the basic data combined with meteorological data,DEM,population density,land use,and NDVI multi-source data,The results show that from 2000 to 2020,the vegetation NPP in Chongqing shows a fluctuating and rising trend over time,and the value of vegetation NPP is between 567.56 and 756.32 g·C/m2/a Spatially,it shows"two highs and one low";the highest value of vegetation NPP in Chongqing is 968.34 g·C/m2/a,and the lowest value is 76.23 g·C/m2/a There is also a significant correlation between vegetation NPP and air temperature and precipitation in Chongqing The mean values of the coefficients are-0.22 and 0.31,respectively The dominant influencing factors for the vegetation NPP in Chongqing are vegetation coverage factor,temperature factor,and altitude factor;the interaction between any two factors is nonlinearly enhanced,indicating that the interaction between multiple factors is a synergistic interaction.

net primary productivity(NPP)of vegetationgeographic detectorsspatiotemporal changesdriversChongqing

王福海、陈丹、李辉

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重庆财经学院 公共管理学院,重庆 401320

植被净初级生产力(NPP) 地理探测器 时空变化 驱动因子 重庆

重庆市自然科学基金面上项目

cstc2020jcyjmsxmX0578

2024

贵州大学学报(自然科学版)
贵州大学

贵州大学学报(自然科学版)

CSTPCD
影响因子:0.396
ISSN:1000-5269
年,卷(期):2024.41(4)