首页|区域绿色空间生态系统服务价值演变特征及多情景模拟研究——以南京市为例

区域绿色空间生态系统服务价值演变特征及多情景模拟研究——以南京市为例

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区域绿色空间是维持城市生态功能完整运行与控制建设用地无序扩张的关键载体,提供了重要的生态系统服务.以南京市为研究对象,基于大尺度不透水面指数识别分析2005年、2010年、2015年及2020年南京市区域绿色空间分布变化,以当量因子法计算区域绿色空间生态系统服务价值演变情况,并基于Markov-FLUS模型结合惯性发展、区域绿色空间保护与生态系统服务保护等情景设置对2030年南京市区域绿色空间分布及生态系统服务价值进行模拟分析.结果表明,2005-2020年,南京市区域绿色空间面积从753 km2下降至695 km2,共计减少58 km2,生态系统服务价值减少2.62亿元,呈逐年下降趋势;区域绿色空间分布不均,以江宁区、溧水区、浦口区及六合区分布占比较高,提供了较高的生态系统服务价值贡献度;相较于惯性发展与区域绿色空间保护情景,生态系统服务保护情景下区域绿色空间面积增长43 km2,生态系统服务价值增加1.99亿元,是最有利于可持续发展的区域绿色空间布局方案,说明在生态管控前提下,开展实施必要的生态修复工作可以有效促进区域绿色空间生态系统服务价值大幅提高.
Study on the Evolution Characteristics and Multi-scenario Simulation of Ecosystem Service Value of Regional Green Space:A Case Study of Nanjing City
Regional green spaces are crucial for maintaining the integrity of urban ecological functions and controlling the uncontrolled expansion of construction land,providing significant ecosystem services.This study focuses on Nanjing City,analyzing the distribution changes of regional green spaces in 2005,2010,2015,and 2020 based on the large-scale impervious surface index.The evolution of ecosystem service value for regional green spaces was calculated using the equivalent factor method.Addi-tionally,simulations of the distribution and ecosystem service value of regional green spaces for 2030 were conducted using the Markov-FLUS model,incorporating scenarios of inertia development,green space protection,and ecosystem service protection.Results indicate that from 2005 to 2020,the area of regional green spaces in Nanjing decreased from 753 km2 to 695 km2,a reduction of 58 km2,with a corresponding decrease in ecosystem service value by 262 million yuan,showing a year-by-year de-cline.The distribution of regional green spaces is uneven,with higher proportions in Jiangning District,Lishui District,Pukou District,and Liuhe District,which contribute significantly to ecosystem service value.Compared to the inertia development and regional green space protection scenarios,the ecosystem service protection scenario results in an increase of 43 km2 in regional green space area and a 199 million yuan increase in ecosystem service value.This scenario is the most beneficial for sustainable development,indicating that implementing ecological restoration under ecological control can significantly enhance the ecosys-tem service value of regional green spaces.

regional green spaceecosystem service valueMarkov-FLUS modelNanjing City

陈晨、施茹韵、严军

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南京林业大学风景园林学院,南京 210037

同济大学建筑与城市规划学院,上海 200092

区域绿色空间 生态系统服务价值 Markov-FLUS模型 南京市

2024

园林
中国风景园林学会 上海市园林科学研究所

园林

影响因子:0.13
ISSN:1000-0283
年,卷(期):2024.41(12)