Ecological spatial intensive use optimization modeling with framework of cellular automata for coordinating ecological protection and economic development

被引:6
|
作者
Ou, Dinghua [1 ,2 ]
Zhang, Qi [1 ]
Tang, Haolun [1 ]
Qin, Jing [1 ]
Yu, Dongrui [1 ]
Deng, Ouping [1 ,2 ]
Gao, Xuesong [1 ,2 ]
Liu, Tao [3 ]
机构
[1] Sichuan Agr Univ, Coll Resources, Chengdu 611130, Sichuan, Peoples R China
[2] Minist Nat Resources, Key Lab Invest & Monitoring Protect & Utilizat Cu, Chengdu 611130, Peoples R China
[3] Sichuan Agr Univ, Coll Informat Engn, Chengdu 611130, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Ecological space; ESIUO model; Structure-spatial coupling optimization; Dominant ecosystem service functions; Markov state transition probability; LAND-USE OPTIMIZATION; ECOSYSTEM SERVICES; LOGISTIC-REGRESSION; LANDSCAPE PATTERN; CLUE-S; METROPOLITAN REGION; USE SIMULATION; DYNAMICS; GIS; URBANIZATION;
D O I
10.1016/j.scitotenv.2022.159319
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the exposure of excessive intensive use of urban and agricultural space, the optimization of intensive use of ecological space provides a new way to coordinate the global problem of spatial conflict between ecological protection and economic development. However, the coupling accuracy of the existing structure-spatial coupling optimization model is low, which cannot provide method support for the optimization of intensive use of ecological space. To solve this problem, we propose a new model of ecological spatial intensive use optimization (ESIUO) based on the non-stationarity of the Markov state transition probability of the dominant ecosystem service functions (DESFs) and their suitability, and with the help of the framework of cellular automata (CA). We took Qionglai City as an empirical study area, and compared the results of this model with those of CA-Markov and CLUE-S models with the same parameters. The results show that: (i) The quantitative structure corresponding to the spatial layout of each dominant ecosystem service function (DESF) optimized by the ESIUO model has the smallest relative error (delta(k)<= 0.04%) with the optimal quantitative structure. (ii) The layout of DESFs optimized by the ESIUO model maximizes the supply capacity of ecosystem services. The minimum matching degree between the distribution of each DESF and the high-value area of its suitability is 92.06%, and the spatial distribution is more compact, and the comprehensive effect of spatial layout is the best. Further analysis confirmed that the model can establish the spatial layout of DESFs that can realize the high precision coupling with the optimal quantitative structure of DESFs in terms of quantitative structure, and can support the construction of the layout of intensive use of ecological space to alleviate the pressure of non-ecological space expansion in these areas, and then provide a new way to coordinate ecological protection and economic development.
引用
收藏
页数:16
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