journal article·2023-06-14Open access

Multiscenario Simulation and Prediction of Land Use in Huaibei City Based on CLUE-S and PLUS Models

Zhilin Yu, Mingsong Zhao, Yingfeng Gao, Tao Wang, Zhidong Zhao, Shihang Wang

Applied Sciences· Volume 13· Issue 12

Abstract

Analyzing land use changes (LUC) in both past and future scenarios is critical to optimize local ecology and formulate policies for sustainable development. We analyzed LUC characteristics in Huaibei City, China from 1985 to 2020, and used the CLUE-S and PLUS models to simulate LU in 2020. Then, we compared the accuracy of the simulation phase and chose the PLUS model to project LU under four scenarios in 2025. The results showed the following: (1) Farmland and grassland areas decreased from 1985 to 2020, while forestland, water, and construction land increased. (2) The LU types in the region are explained well by the driving factors, with all receiver operation characteristic (ROC) values greater than 0.8. (3) The kappa indices for CLUE-S and PLUS analog modeling were 0.727 and 0.759, respectively, with figure of merit (FOM) values of 0.109 and 0.201. (4) Under the farmland and ecological protection scenario (FEP), farmland and forestland areas are protected, increasing by 1727.91 hm2 and 86.22 hm2, respectively, while construction land decreases by 2001.96 hm2. These results confirm that PLUS is significantly better than the CLUE-S model in modeling forestland and water, and slightly better than the CLUE-S model in modeling the rest of the LU type. Urban sustainability is strong in the scenario FEP.
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Research context

OpenAlex topics: Land Use and Ecosystem Services · Urban Green Space and Health · Urban Heat Island Mitigation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China

Key Laboratory of Aviation–Aerospace–Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China

Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China

Funding

Natural Science Foundation of Anhui Province, China · National Natural Science Foundation of China · Research Fund for Doctoral Program of Anhui University of Science and Technology

References (43)

Show source-provided references
1. The Advances and Problems of Land Use and Land Cover Change Research in China
2. Global consequences of land use10.1126/science.1111772 ↗
3. Assessing Watershed-Scale, Long-Term Hydrologic Impacts of Land-Use Change Using a GIS-NPS Model10.1007/s002670010122 ↗
4. Land use change simulation: Progress, challenges, and prospects
5. Simulation model of land use dynamics and application: Progress and prospects
6. Land Use Prediction Based on CLUE-S Model Under Different Non-spatial Simulation Methods: A Case Study of the Qinhuai River Watershed
7. Dynamic simulation of land use change and assessment of carbon storage based on climate change scenarios at the city level: A case study of Bortala, China10.1016/j.ecolind.2021.108499 ↗
8. Future scenarios based on a CA-Markov land use and land cover simulation model for a tropical humid basin in the Cerrado/Atlantic forest ecotone of Brazil10.1016/j.landusepol.2020.105141 ↗
9. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects10.1016/j.landurbplan.2017.09.019 ↗
10. Agent-based modeling of urban land-use development, case study: Simulating future scenarios of Qazvin city10.1016/j.cities.2012.09.002 ↗
11. He, X.D., Mai, X.M., and Shen, G.Q. (2019). Delineation of Urban Growth Boundaries with SD and CLUE-s Models under Multi-Scenarios in Chengdu Metropolitan Area. Sustainability, 11.10.3390/su11215919 ↗
12. Simulation of Land-use Scenarios for Beijing Using CLUE-S and Markov Composite Models10.1007/s11769-013-0594-9 ↗
13. Tang, W.W., Cui, L.H., Zheng, S., and Hu, W. (2022). Multi-Scenario Simulation of Land Use Carbon Emissions from Energy Consumption in Shenzhen, China. Land, 11.10.3390/land11101673 ↗
14. Zhu, Z.Y., Duan, J.J., Li, R.L., and Feng, Y.Z. (2022). Spatial Evolution, Driving Mechanism, and Patch Prediction of Grain-Producing Cultivated Land in China. Agriculture, 12.10.3390/agriculture12060860 ↗
15. Deng, S.Q. (2020). Some understandings about the investigation of coal mining subsidence area in Huaibei City. West. Resour., 65–67. (In Chinese).
16. The evolution process and influencing factors of urban-rural spatial structure in coal resource-based city: A case study of Huaibei city in Anhui province
17. A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use10.1016/S0304-3800(98)00156-2 ↗
18. dinamica—A stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier10.1016/S0304-3800(02)00059-5 ↗
19. Combining system dynamic model and CLUE-S model to improve land use scenario analyses at regional scale: A case study of Sangong watershed in Xinjiang, China10.1016/j.ecocom.2010.02.001 ↗
20. Modeling the spatial dynamics of regional land use: The CLUE-S model10.1007/s00267-002-2630-x ↗
21. Simulation of Land Use Change in Typical Coal Mining City Based on CLUE S Model
22. Spatial Interaction and the Statistical Analysis of Lattice Systems10.1111/j.2517-6161.1974.tb00999.x ↗
23. Scenario simulation and landscape pattern assessment of land use change based on neighborhood analysis and auto-logistic model: A case study of Lijiang River Basin
24. Simulating urban land use change by incorporating an autologistic regression model into a CLUE-S model10.1007/s11442-015-1205-8 ↗
25. Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA10.1016/S0167-8809(01)00187-6 ↗
26. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China10.1016/j.compenvurbsys.2020.101569 ↗
27. The impact of land use and land cover changes on the landscape pattern and ecosystem service value in Sanjiangyuan region of the Qinghai-Tibet Plateau10.1016/j.jenvman.2022.116539 ↗
28. Simulation of Urban Land Expansion Under Ecological Constraints in Harbin-Changchun Urban Agglomeration, China10.1007/s11769-022-1277-1 ↗
29. Cui, L.H., Tang, W.W., Zheng, S., and Singh, R.P. (2023). Ecological Protection Alone Is Not Enough to Conserve Ecosystem Carbon Storage: Evidence from Guangdong, China. Land, 12.10.3390/land12010111 ↗
30. Forest transition paths in Rwanda since 1990 and trend prediction
31. Luo, Z.W., Hu, X.J., Wang, Y.Z., and Chen, C.Y. (2023). Simulation and Prediction of Territorial Spatial Layout at the Lake-Type Basin Scale: A Case Study of the Dongting Lake Basin in China from 2000 to 2050. Sustainability, 15.10.3390/su15065074 ↗
32. Dynamic simulation of land use change in Jihe watershed based on CA-Markov model
33. Policy factors impact analysis based on remote sensing data and the CLUE-S model in the Lijiang River Basin, China10.1016/j.catena.2017.07.003 ↗
34. Death to Kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment10.1080/01431161.2011.552923 ↗
35. Comparing the input, output, and validation maps for several models of land change10.1007/s00168-007-0138-2 ↗
36. Research on the Characteristics and Prediction of Land Use Change in Huaibei from 1985 to 2015
37. Spatio-temporal Characteristics and Effects of Terrestrial Carbon Emissions Based on Land Use Change in Anhui Province
38. Spatiotemporal pattern change of cultivated land and its driving forces in Yibin City, Sichuan Province during 1980–2018
39. Spatialand Temporal Distribution Characteristics of Carbon Storage in Handan City Based on PLUS and InVEST Models
40. Using autologistic spatial models to simulate the distribution of land-use patterns in Zhangjiajie, Hunan Province
41. Land use in the Gan-Lin-Gao region of middle reaches of Heihe River Basin based on a PLUS-SD coupling model
42. (2022, July 04). General Plan for Land Use of Huaibei City (2006–2020), Available online: https://www.huaibei.gov.cn/zwgk/public/15/60297681.html.
43. (2022, September 21). The 14th Five-Year Plan for Huaibei’s National Economic and Social Development and the Outline of the Long-Range Goals to 2035, Available online: https://www.huaibei.gov.cn/zwgk/public/15/60286681.html.