Abstract
The simulation of landscape pattern optimization allocation (LPOA) to achieve ecological security is an important issue when constructing regional ecological security patterns. In this study, an LPOA model was developed by integrating a binary logistic regression model and a nonlinear programming model with a particle swarm optimization algorithm in order to consider the complexity of landscape pattern optimization in terms of the quantitative structure and spatial layout optimization, integrating the landscape suitability and factors that influence landscape patterns, and under constraints to maximize the economic, ecological, and comprehensive benefits of landscape patterns. The model was employed to simulate the LPOA in the Longquanyi District of Chengdu City, Sichuan Province, China. The model successfully obtained an appropriate combination of the landscape quantitative structure and spatial layout, as well as effectively integrating the landscape suitability and factors that influence the landscape pattern. Thus, the model addressed the problems of previous studies, such as neglecting the coupling between quantitative structure optimization and spatial layout optimization, ignoring the macrofactors that affect landscape patterns during optimization modeling, and initializing particles without considering the suitability of the landscape. Furthermore, we assessed and analyzed the accuracy and feasibility of the landscape pattern spatial layout optimization results, where the results showed that the overall accuracy of the optimization results was 84.98% with a Kappa coefficient of 0.7587, thereby indicating the good performance of the model. Moreover, the simulated optimization allocation scheme for the landscape pattern was consistent with the actual situation. Therefore, this model can provide support and a scientific basis for regional landscape pattern planning, land use planning, urban planning, and other related spatial planning processes.
Highlights
During the rapid economic development process worldwide, the lack of effective regulation for urban expansion has led to a disorderly urban sprawl, where the blind occupation of ecological spaces and severe destruction of the natural ecological environment have caused many global or regional ecological environmental problems, such as global warming, ozone layer depletion, loss of biodiversity, spread of acid rain, sharp decline of forests, land desertification, air pollution, water pollution, and marine pollution
Three useful results were obtained from the application of the landscape pattern optimization allocation (LPOA) model, i.e., a planning concept for balancing economic and ecological benefits, a planning strategy that considers both quantitative structure optimization and spatial layout optimization, and a planning strategy that closely connects the theoretical model with the actual region, and these results provide a useful reference for formulating related spatial planning activities, including landscape pattern planning, land use planning, and urban planning in other regions
We proposed a new composite model called the LPOA model for optimizing the spatial allocation of a landscape pattern, which aims to solve a set of optimal problems in LPOA, such as neglecting the coupling between quantitative structure optimization and spatial layout optimization, ignoring the macrofactors that affects landscape patterns during optimization modeling, and initializing particles without considering the suitability of the landscape
Summary
During the rapid economic development process worldwide, the lack of effective regulation for urban expansion has led to a disorderly urban sprawl, where the blind occupation of ecological spaces and severe destruction of the natural ecological environment have caused many global or regional ecological environmental problems, such as global warming, ozone layer depletion, loss of biodiversity, spread of acid rain, sharp decline of forests, land desertification, air pollution, water pollution, and marine pollution. These problems have severely restricted the sustainable development of human society. Many studies have confirmed that constructing a reasonable landscape (land resource) spatial pattern by optimizing the landscape (land resource) allocation from a spatial perspective is effective for mitigating conflicts between economic development and ecological protection, and to achieve the goal of sustainable development [6,9,10,11,12,13,14,15,16]
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