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应用生态学报 ›› 2025, Vol. 36 ›› Issue (6): 1679-1689.doi: 10.13287/j.1001-9332.202506.027

• 生态系统服务与区域可持续专栏 • 上一篇    下一篇

滇中城市群用地投入-效益产出协同的景观功能空间结构优化

郑玉琦1, 陈利顶1,2,3, 都舒萌1,2, 李纯1*   

  1. 1云南大学生态与环境学院, 昆明 650500;
    2西南联合研究生院, 昆明 650092;
    3中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京 100085
  • 收稿日期:2024-12-24 接受日期:2025-03-31 出版日期:2025-06-18 发布日期:2025-12-18
  • 通讯作者: *E-mail: lichun@ynu.edu.cn
  • 作者简介:郑玉琦, 女, 2001年生, 硕士研究生。主要从事景观用地优化模拟研究。E-mail: 2292305637@qq.com
  • 基金资助:
    国家自然科学基金项目(42201290)、云南省西南联合研究生院科技专项-基础研究和应用基础研究重大项目(202302AO370012)和云南省科技厅基础研究计划面上项目(202301AT070335)

Structure optimization of landscape functional spaces based on land input-benefit output synergy in the Central Yunnan Urban Agglomeration

ZHENG Yuqi1, CHEN Liding1,2,3, DU Shumeng1,2, LI Chun1*   

  1. 1School of Ecology and Environmental Sciences, Yunnan University, Kunming 650500, China;
    2Southwest United Graduate School, Kunming 650092, China;
    3State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
  • Received:2024-12-24 Accepted:2025-03-31 Online:2025-06-18 Published:2025-12-18

摘要: 景观功能空间是满足人类社会不同需求的景观单元,其内部不协调的资源投入与效益产出将制约区域高效生态保护及社会经济发展。本研究以滇中城市群为案例,构建不同景观功能空间下用地投入及效益产出的评价指标体系,分析其投入-产出的时空格局;利用耦合协调度模型探究景观功能空间内的投入-产出协调性;构建生产协调优先、生活协调优先、生态协调优先、规划导向优先4种不同投入产出优先协调情景,采用BP-ANN模型模拟不同情景下的景观功能空间结构优化方案。结果表明: 2000—2020年间,滇中城市群用地投入均在生态方面最高,效益产出以生态功能为主,随时间推移生活效益逐渐提升;滇中城市群景观功能空间综合投入-产出协调性略有提升,协调度指数由2000年的0.43增长至2020年的0.46,主要体现为生产功能空间内投入-产出的协调度优化;滇中城市群景观空间结构在4种情景下呈现出不同的调整需求,其中,生产协调优先情景应调整用地布局,生态协调优先情景应增加用地投入规模,生活协调优先情景和规划导向优先情景需要在增加用地投入的同时调整用地布局。本研究有助于启示城市群通过用地调整来实现内部功能空间的协同发展。

关键词: 协调性, 用地投入, 功能效益, 滇中城市群

Abstract: Landscape functional spaces, as landscape units that fulfill various societal needs, may constrain regional ecological conservation and socio-economic development when internal imbalances occur between resource inputs and benefit outputs. Taking the Central Yunnan Urban Agglomeration as a case, we constructed an evaluation index system for land use inputs and benefit outputs across different landscape functional spaces, analyzed the spatiotemporal patterns of input-output relationships, employed a coupling coordination model to assess input-output coordination across landscape functional spaces. We constructed four different priority coordination scenarios for input and output: production coordination priority, living coordination priority, ecological coordination priority, and planning orientation priority, and further used the BP-ANN model to simulate optimization schemes for landscape functional spaces under the four various coordination scenarios. The results showed that, from 2000 to 2020, ecological aspects consistently accounted for the highest land use inputs in the Central Yunnan Urban Agglomeration, with ecological functions remaining the primary benefit output, while living benefits progressively increased. The overall input-output coordination index improved slightly, rising from 0.43 in 2000 to 0.46 in 2020, predominantly driven by enhanced coordination in production functional spaces. The landscape structure of the Central Yunnan Urban Agglomeration exhibited distinct adjustment requirements under four scenarios. Among them, the production coordination priority scenario should adjust the land layout, the ecological coordination priority scenario should increase the scale of land investment, the living coordination priority scenario and planning orientation priority scenario adjust the land layout while increasing land investment. This study would provide insights into coordinating internal functional spaces in urban agglomerations through land use adjustment.

Key words: coordination, land input, functional benefit, Central Yunnan Urban Agglomeration