生态环境学报2025，Vol.34Issue(7)：1079-1089,11.DOI:10.16258/j.cnki.1674-5906.2025.07.008
基于GSMSR模型的山东省植被NEP时空格局及影响因素
Spatiotemporal Patterns and Influencing Factors of Vegetation Net Ecosystem Productivity in Shandong Province Based on GSMSR Model
摘要
Abstract
We aimed to explore the spatial and temporal characteristics of vegetation Net Ecosystem Productivity(NEP)and its drivers in Shandong Province and its sub-regions and to assess the effects of temperature(TEM),precipitation(PRE),and saturated vapor pressure difference(VPD)on vegetation NEP.Based on the Net Primary Productivity(NPP)of vegetation during the period of 2000‒2020,an in-depth study was carried out by using the Geostatistical Model of Soil Respiration(GSMSR)model,the Vegetation NEP Estimation Model and the Geodetector tool,through the trend analysis,correlation analysis and difference analysis and other research methods,to carry out in-depth research.The results of the study showed that 1)the vegetation NEP in Shandong Province showed an overall upward trend from 2000 to 2020,and the spatial distribution was characterized by a decreasing trend from the northeast to the southwest,with the coastal areas being higher than those in the inland areas.The annual average value of vegetation NEP in the province is 87.0 g·m-2·a-1(in C),and more than one-third of the area has been transformed from a carbon source area to a carbon sink area.2)Vegetation NEP in most areas of Shandong Province was positively correlated with air temperature and precipitation and negatively correlated with the difference in the saturated vapor pressure.The interactions between different factors generally had a greater effect on vegetation NEP than a single factor.The interaction between different factors generally has a greater effect on vegetation NEP than that of a single factor.3)There was obvious spatial differentiation in the trend of vegetation NEP in the four sub-regions of Shandong Province(West Shandong,East Shandong,North Shandong,and Central-South Shandong),with the most significant increase in vegetation NEP in the Central-South region,followed by West Shandong and East Shandong,and a relatively small increase in North Shandong.This study provides a scientific basis for understanding the carbon cycle dynamics of regional ecosystems and for formulating appropriate ecological protection strategies.关键词
植被净生态系统生产力(NEP)/山东省/时空变化/地理探测器/土壤呼吸模型Key words
vegetation net ecosystem productivity/Shandong Province/spatiotemporal variation/geographical detector/soil respiration model分类
农业科技引用本文复制引用
丁馨,刘健,魏俐宏,解德威,郑昭佩..基于GSMSR模型的山东省植被NEP时空格局及影响因素[J].生态环境学报,2025,34(7):1079-1089,11.基金项目
国家社会科学基金项目(21BGL026) （21BGL026）
