Coupled MOP and GeoSOS-FLUS models research on optimization of land use structure and layout in Jintan district

Cao, Shuai; Jin, Xiaobin; Yang, Xuhong; Sun, Rui; Liu, Jing; Han, Bo; Xu, Wei; Zhou, Yongqiang

doi:10.31497/zrzyxb.20190604

Cited by 16 publications

(21 citation statements)

References 11 publications

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“…We selected 18 driving factors of land use change, and 3 types of space-restricted areas to construct the FLUS model, thereby optimizing the spatial configuration of land use under different scenarios. The model validation results showed that the kappa coefficient was 0.88 and the FoM coefficient was 0.172, indicating that the model can effectively capture the trends in land use in Fengdu County, and that the results were more accurate than those of some studies that also use the FLUS model [64,69]. This finding may be because the land use data used in this study had a higher spatial resolution and fewer land use types than those used in other studies, and because the selection of driving factors was more comprehensive in this study than in other studies.…”

Section: Advantages Of Land Use Optimization Modelsmentioning

confidence: 90%

“…where Z represents the total benefit of a land use type; x i is the area of land use type i; K i and P i are the ecological benefit coefficient and economic benefit coefficient of land use type i; and a and b are the weights of the ecological benefit objective and the economic benefit objective, respectively. It was determined from related studies [63,64] that a is 0.8, 0.5, and 0.2, and b is 0.2, 0.5, and 0.8 in the SEC scenario, MEC scenario, and REC scenario, respectively.…”

Section: Scenarios and Objective Function Settingmentioning

confidence: 99%

“…Due to the complexity of the natural environment, land use zoning of the TGRA is not only an effective way to plan and manage the land, but also a significant factor in the improvement of ES functions [64,81]. We divided Fengdu County into three areas with rigid control (the ECA, APA, and COA) and four areas with flexible control (the CEA, EAA, ACA, IDA).…”

Section: Feasibility Of Land Use Regionalizationmentioning

confidence: 99%

“…Due to the limited availability of basic data and the complexity of the model, the constraint conditions and optimization rules in this study are still relatively simple, and it is assumed that many driving factors of land use changes will continue as before, which may lead to results that are not robust or timely [63,64]. Therefore, although the results of this study provide a reference for regional spatial planning, they cannot provide an alternative proposal that can be implemented.…”

Section: Limitationsmentioning

confidence: 99%

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Optimization of Land Use Based on the Source and Sink Landscape of Ecosystem Services: A Case Study of Fengdu County in the Three Gorges Reservoir Area, China

Zhang

Yang

Zhang

et al. 2021

Land

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Promoting the preservation and appreciation of ecosystem services is an important value guide for land use optimization. In this research, Fengdu County in the Three Gorges Reservoir Area was selected as the focus of a case study. From the perspective of the source and sink landscape of ecosystem services, a MOP model and FLUS model were used to optimize the areas of various land use types and the spatial configurations of those land use types in the study area in 2035 under a strict ecological constraint (SEC) scenario, a moderate ecological constraint (MEC) scenario, and a relaxed ecological constraint (REC) scenario. We also superimposed and adjusted the results of land use optimization under the three ecological constraint scenarios, and obtained land use regionalization results that integrated multiple scenarios. The results indicated that (1) there were large differences in the areas and spatial distributions of the source and sink landscapes under the three scenarios. Under the SEC scenario, the important source landscapes (ISLs), common source landscapes (CSLs), and sink landscapes (SLs) areas covered 1676.62 km2, 1190.43 km2, and 33.81 km2, respectively. A large area of the CSLs and a small area of the SLs were transformed into ISLs area, and the degree of fragmentation of the landscape was low. Under the MEC scenario, the ISLs, CSLs, and SLs areas covered 1609.22 km2, 1241.60 km2, and 49.74 km2, respectively. The development of the source landscapes and sink landscapes was similar, and the degree of fragmentation was moderate. Under the REC scenario, the ISLs, CSLs, and SLs areas covered 1603.96 km2, 1243.32 km2, and 53.58 km2, respectively. A large area of CSLs was transformed into SLs area, and the degree of fragmentation was high. (2) Fengdu County was divided into seven types of areas: ecological conservation area; agricultural production area; construction optimization area; construction-ecological area; ecological-agricultural area; agricultural-construction area; and integrated development area. The results of this study can provide references for the territorial spatial planning and management of ecological barrier zones.

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Section: Advantages Of Land Use Optimization Modelsmentioning

confidence: 90%

Section: Scenarios and Objective Function Settingmentioning

confidence: 99%

Section: Feasibility Of Land Use Regionalizationmentioning

confidence: 99%

Section: Limitationsmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of Land Use Based on the Source and Sink Landscape of Ecosystem Services: A Case Study of Fengdu County in the Three Gorges Reservoir Area, China

Zhang

Yang

Zhang

et al. 2021

Land

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show abstract

“…The FLUS model is used to simulate changes and future patterns of land use, which can aid in spatial optimization and assist decision-making [24]. The model uses the artificial neural network (ANN) to calculate the transition probability of each land type and then integrates the system dynamics model (SD) and the Cellular Automaton model (CA) for further analysis.…”

Section: Low-carbon Space Optimizationmentioning

confidence: 99%

Land Use Optimization and Simulation of Low-Carbon-Oriented—A Case Study of Jinhua, China

Huang

Chen

et al. 2021

Land

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Land-use change is an important contributor to atmospheric carbon emissions. Taking Jinhua city in eastern China as an example, this study analyzed the effects on carbon emissions by land-use changes from 2005 to 2018. Then, carbon emissions that will be produced in Jinhua in 2030 were predicted based on the land-use pattern predicted by the CA-Markov model. Finally, a low-carbon optimized land-use pattern more consistent with the law of urban development was proposed based on the prediction and planning model used in this study. The results show that (1) from 2005 to 2018, the area of land used for construction in Jinhua continued to increase, while woodland and cultivated land areas decreased. Carbon emissions from land use rose at a high rate. By 2018, carbon emissions had increased by 1.9 times compared to 2015. (2) During the 2010–2015 period, the total concentration of carbon emissions decreased due to decreases in both the rate of growth in construction land and the rate of decline in a woodland area, as well as an adjustment of the energy structure and the use of polluting fertilizer and pesticide treatments. (3) The carbon emissions produced with an optimal land-use pattern in 2030 are predicted to reduce by 19%. The acreage of woodland in Jinhua’s middle basin occupied by construction land and cultivated land is predicted to reduce. The additional construction land will be concentrated around the main axis of the Jinhua-Yiwu metropolitan area and will exhibit a characteristic ribbon-form with more distinct clusters. The optimized land-use pattern is more conducive to carbon reduction and more in line with the strategy of regional development in the study area. The results of this study can be used as technical support to optimize the land-use spatial pattern and reduce urban land’s contribution to carbon emissions.

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Using Zipf’s Law to Optimize Urban Spatial Layouts in an Urban Agglomeration Area

Wang,

Lyu,

Liang

et al. 2024

Annals of the American Association of Geographers

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Coupled MOP and GeoSOS-FLUS models research on optimization of land use structure and layout in Jintan district

Cited by 16 publications

References 11 publications

Optimization of Land Use Based on the Source and Sink Landscape of Ecosystem Services: A Case Study of Fengdu County in the Three Gorges Reservoir Area, China

Optimization of Land Use Based on the Source and Sink Landscape of Ecosystem Services: A Case Study of Fengdu County in the Three Gorges Reservoir Area, China

Land Use Optimization and Simulation of Low-Carbon-Oriented—A Case Study of Jinhua, China

Using Zipf’s Law to Optimize Urban Spatial Layouts in an Urban Agglomeration Area

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