生态环境学报2024，Vol.33Issue(11)：1803-1815,13.DOI:10.16258/j.cnki.1674-5906.2024.11.014
基于logistic回归模型的生态系统服务簇变化驱动力分析
Driving Force Analysis of Ecosystem Service Bundle Change Based on Logistic Regression Model:A Case Study of Guantian Economic Zone
摘要
Abstract
An ecosystem service bundle(ESB)is a combination of multiple ecosystem services in a specific spatial area.Exploring the driving factors that influence these changes can help analyze the functional characteristics and impact mechanisms of ESB,providing theoretical support for the formulation of national space optimization strategies.Taking Guanzhong-Tianshui Economic Zone as an example,this study quantifies the soil conservation,NPP,recreation services,habitat quality,and grain production,and uses the self-organizing mapping network to identify ESB.This reveals the driving factors that influence the different ESB.The results(from 2000 to 2020)showed that:1)the soil conservation,NPP,habitat quality,and recreation services showed a pattern of low in the middle and west and high in the north and south of the mountain,whereas grain production was the opposite.In terms of quantity,NPP has been increasing year by year,whereas soil conservation and food production have shown an increase followed by a decrease.2)The study area was divided into four types of ESB,of which ESB1 and ESB2 were mainly distributed in the Qinling Mountains area,and the soil conservation service of ESB1 was significantly higher than that of ESB2.ESB3 was mainly located in the urban built-up areas of the Guanzhong Plain and Tianshui City,and the levels of all five ecosystem services in the bundle were relatively low.ESB4 is concentrated in the Guanzhong Plain area and is mainly dominated by grain production.3)There are six types of conversion between ESBs,and the main driving factors of each type are different.Land use has an important driving role in the conversion of all four types of ESB,with the most significant impact of cultivated land and built-up land;at the same time,ESB1 and ESB4 were also influenced by precipitation and other natural factors,while ESB2,ESB3,and ESB4 were mostly influenced by GDP and other social and economic factors.This study provides a new perspective and scientific basis for the ecological protection and sustainable development of the Guanzhong-Tianshui Economic Zone.关键词
生态系统服务/生态系统服务簇(ESB)/自组织映射网络/驱动因素/Logistic回归/关中-天水经济区Key words
Ecosystem service/Ecosystem service bundle(ESB)/Self-organizing feature map/Driving factors/Logistic regression/Guanzhong-Tianshui Economic Zone分类
资源环境引用本文复制引用
李辉蔷,梁小英,魏峥,朱泳霏,石金鑫..基于logistic回归模型的生态系统服务簇变化驱动力分析[J].生态环境学报,2024,33(11):1803-1815,13.基金项目
国家自然科学基金项目(42171256) （42171256）
