西北林学院学报2024，Vol.39Issue(4)：120-130,11.DOI:10.3969/j.issn.1001-7461.2024.04.15
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
Spatio-Temporal Differentiation and Driving Force of Vegetation NPP in Fujian Province Based on Optimal Parameter Geographical Detector
摘要
Abstract
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,topo-graphic,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 differenti-ation of vegetation NPP.The results showed that 1)the vegetation NPP in Fujian Province showed a fluc-tuating 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 province's area.2)The NPP of vegeta-tion in the north and southeast of Fujian Province increased significantly,while the central and southwest-ern 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 differentia-tion of vegetation NPP were as follows:precipitation＞temperature＞land use＞nighttime light＞popula-tion 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.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Key words
vegetation net primary productivity/Sen+MK trend analysis/Hurst index/parameter optimal geographic detector分类
农业科技引用本文复制引用
高文晶,程诺,张露月,赵玥桥,赖日文..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[J].西北林学院学报,2024,39(4):120-130,11.基金项目
城市绿化乔木降温成效及树种配置项目(KHF190017) （KHF190017）
福建农林大学林业高峰学科建设项目(72202200205). （72202200205）
