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基于参数最优地理探测器的福建省植被NPP时空分异及驱动力探究 被引量:3

Spatio-Temporal Differentiation and Driving Force of Vegetation NPP in Fujian Province Based on Optimal Parameter Geographical Detector
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摘要 植被净初级生产力(NPP)是生态系统碳循环的重要组成,研究其时空尺度的变化和驱动机制,对生态系统的可持续发展具有重大意义。选取MOD17A3HGF植被NPP数据、土地利用、地形、气象和社会经济数据,通过Sen+MK趋势分析、Hurst指数、最优参数地理探测器等方法,分析2000-2020年福建省植被NPP时空变化特征及未来趋势,并探究植被NPP空间分异的驱动因子。结果表明,1)2000-2020年福建省植被NPP呈波动状缓慢下降,多年均值为843.71 gC·m^(-2)·a^(-1);灌木植被NPP的多年均值926.54 gC·m^(-2)·a^(-1),是生产力最强的土地利用类型;植被NPP主要集中在600~900 gC·m^(-2)·a^(-1),处在该范围的区域占全省总面积的52.09%~66.23%。2)福建省北部、东南部植被NPP多为显著上升,而中部和西南部主要为显著下降;未来植被NPP变化趋势以反持续性为主(53.25%),应重点关注闽北山地与闽江下游区域。3)造成植被NPP空间分异的驱动因子平均解释度高低排序为降水量>气温>土地利用>夜间灯光>人口密度>坡度>高程>国内生产总值,双因子交互中最高解释度为气温∩降水量(0.282),自然因子间的交互作用影响更大。 The net primary productivity(NPP)of vegetation is an important component of the carbon cycle of ecosystems.It is of great significance to study its change and driving mechanism at the spatio-temporal scale for ecological sustainable development.Selected MOD17A3HGF vegetation NPP data,land use,topographic,meteorological and socio-economic data,this study used Sen+MK trend analysis,Hurst index,and optimal geodetector to analyze the spatio-temporal variation characteristics in vegetation NPP and its future changing trend in Fujian Province from 2000 to 2020,and to explore the driving factors of spatial differentiation of vegetation NPP.The results showed that 1)the vegetation NPP in Fujian Province showed a fluctuating and slow decline changes from 2000 to 2020,and the multi-year average of vegetation NPP was 843.71 gC·m^(-2)·a^(-1).The multi-year average value of shrub vegetation NPP was 926.54 gC·m^(-2)·a^(-1),which was the most productive land use type.The vegetation NPP was mainly focused in the range of 600-900 gC·m^(-2)·a^(-1),accounting for 52.09%-66.23%of the provinces area.2)The NPP of vegetation in the north and southeast of Fujian Province increased significantly,while the central and southwestern parts decreased significantly.The future trend of vegetation NPP was mainly anti-sustainable(53.25%),attentions should be focused on the mountainous areas of northern Fujian and the lower reaches of the Minjiang River.3)The average explanatory degrees of the driving factors causing spatial differentiation of vegetation NPP were as follows:precipitation>temperature>land use>nighttime light>population density>slope>elevation>GDP,and the highest explanatory degree in the two-factor interaction was temperature∩precipitation(0.282),and the interaction between natural factors has a greater impact.
作者 高文晶 程诺 张露月 赵玥桥 赖日文 GAO Wen-jing;CHENG Nuo;ZHANG Lu-yue;ZHAO Yue-qiao;LAI Ri-wen(College of Forestry,Fujian Agriculture and Forestry University,Fuzho 350002,Fujian,China;University Key Lab for Geomatics Technology&Optimize Utilization in Fujian Province,Fujian Agriculture and Forestry University,Fuzhou 350002,Fujian,China)
出处 《西北林学院学报》 CSCD 北大核心 2024年第4期120-130,共11页 Journal of Northwest Forestry University
基金 城市绿化乔木降温成效及树种配置项目(KHF190017) 福建农林大学林业高峰学科建设项目(72202200205)。
关键词 植被净初级生产力 Sen+MK趋势分析 HURST指数 参数最优地理探测器 vegetation net primary productivity Sen+MK trend analysis Hurst index parameter optimal geographic detector
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