Wan Ding, Wang Zhi-Yuan, Tan Yong, Li Can-Bin, Chen Chao, He Han-Hui
Hunan Land Resources Planning Institute, Changsha 410004, China.
Hunan Provincial Key Laboratory of Land Resources Evaluation and Utilization, Changsha 410007, China.
Ying Yong Sheng Tai Xue Bao. 2024 Jan;35(1):255-267. doi: 10.13287/j.1001-9332.202401.019.
The optimization of production-living-ecology (PLE) space is an important basis for promoting regional high-quality development. Taking the Dongting Lake Eco-economic Zone as an example, from the perspective of improving the comprehensive benefits of the development and protection of the PLE space, we coupled the GMOP-FLUS model, and proposed an optimization method combining the scenario configuration and the bottom line protection of the PLE space. We compared the three optimization scenarios (economic optimization scenario, ecological optimization scenario, and multi-objective optimization scenario), and coordinated the conflict areas of two lines to clarify the comprehensive optimization scheme of the PLE space in the Dongting Lake Eco-economic Zone. The results showed the characteristics of increasing production space and living space and decreasing ecological space from 2010 to 2020, resulting in the partial loss of land ecological and environmental benefits. Under the economic optimization scenario, the ecological optimization scenario promoted the rapid growth of regional economy but damaged regional ecological security. The ecological optimization scenario inhibited regional economic development. The multi-objective optimization scenario led to improvement of economic and ecological benefits of the PLE space, which increased by 2.0% and 1.3%, respectively. The multi-objective optimization scenario was the best optimization scenario among the three scenarios. By superimposing the best scenario and the two-line conflict regional coordination results, we obtained the comprehensive optimization scheme for 2030. The production space, living space, and ecological space areas of the scheme were 25777.18, 2062.94, and 32552.68 km, respectively. Based on the natural and social conditions, combining the comprehensive optimization scheme, we put forward different control suggestions for each type of PLE space. Our results could provide reference for the rational formulation of territorial spatial planning and the formulation of policies for the coordinated development of ecological environment and social economy in the Dongting Lake Eco-economic Zone.
生产-生活-生态（PLE）空间优化是推动区域高质量发展的重要基础。以洞庭湖生态经济区为例，从提升PLE空间开发与保护综合效益的角度出发，耦合GMOP-FLUS模型，提出了一种结合PLE空间情景配置与底线保护的优化方法。比较了三种优化情景（经济优化情景、生态优化情景和多目标优化情景），协调两条控制线的冲突区域，明确了洞庭湖生态经济区PLE空间的综合优化方案。结果表明，2010—2020年生产空间和生活空间增加、生态空间减少，导致土地生态环境效益部分损失。经济优化情景下，生态优化情景促进了区域经济快速增长，但损害了区域生态安全。生态优化情景抑制了区域经济发展。多目标优化情景使PLE空间经济和生态效益得到提升，分别增长了2.0%和1.3%。多目标优化情景是三种情景中最优的优化情景。通过叠加最优情景与两条控制线冲突区域协调结果，得到了2030年的综合优化方案。该方案的生产空间、生活空间和生态空间面积分别为25777.18、2062.94和32552.68平方千米。基于自然和社会条件，结合综合优化方案，针对各类PLE空间提出了不同的管控建议。研究结果可为洞庭湖生态经济区合理制定国土空间规划以及生态环境与社会经济协调发展政策提供参考。
