Spatial optimal allocation of land resources in Fengweihan, Kaishan, Laos

Yuling Peng, Xuexian Xu, Jianqiu Yu, Feiyang Liu, Wenjie Qin, Yu Xia

Article ID: 1571
Vol 5, Issue 1, 2022

VIEWS - 356 (Abstract) 260 (pdf)

Abstract


Objective: Through the spatial optimal allocation of land resources to improve the efficiency of land use, promote the rational layout of various industries and infrastructure, and provide a theoretical basis for the comprehensive development of regional social economy. Methods: Combining GIS spatial analysis technology, logistic regression analysis method and CLUE-S model, taking Kaishan Fengweihan City, Laos, as the research area, the research on the spatial optimal allocation of land resources was carried out. Under the constraints of spatial suitability and quantitative structure, the spatial optimal allocation of land resources in Fengweihan city of Kaishan is carried out based on the land demand, limiting factors, conversion rules and spatial characteristics. Results: Urban construction land and paddy fields expanded to suitable areas on the original basis, and the forestry land with sparse distribution was reduced correspondingly due to development and utilization, while other land types did not change significantly in quantity and space. Conclusion: Urbanization construction and agricultural development can provide the foundation and support for the economic development of Kaishan Fengweihan city. At the same time, it is necessary to give consideration to ecological protection and promote the overall, coordinated and sustainable use of land resources.


Keywords


Land Use; Space Optimization; CLUE-S Model; Fengweihan City, Kaishan, Laos

Full Text:

pdf


References


1. Wang T, Yan J, Qiao H. Analysis and prediction of land-use change characteristics in Kuala Lumpur, Malaysia. Bulletin of Soil and Water Conservation 2020; 40(5): 268–275, 341.

2. Han H, Yang C, Song J. Simulation and prediction of spatial pattern evolution of land use in Beijing. Progress in Geography 2015; 34(8): 976–986.

3. Xu X, Li X, Xiao C, et al. Land use layout optimization under different scenarios by using the CLUE-S model. Acta Ecologica Sinica 2016; 36(17): 5401–5410.

4. Bao T, Bu R, Qi X, et al. Spatial layout optimization of land use of central Inner Mongolia based on multi-model measures. Journal of Arid Land Resources and Environment 2020; 34(11): 110–117.

5. Jiang W, Chen Z, Lei X, et al. Simulating urban land use change by incorporating an autologistic regression model into a CLUE-S model. Journal of Geographical Sciences 2015; 25(7): 836–850.

6. Peng Y, Lin A, Wang K, et al. Multi-scale spatial suitability evaluation of forest land in central Laos. Area Research and Development, 2019, 38 (2): 139–146.

7. Li X, Xiao C, Ou M, et al. Urban land spatial optimized allocation based on the idea of niche fitness. Resources and Environment in the Yangtze River Basin 2017; 26(3): 376–383.

8. Liu X. Heat island intensity reduction-oriented urban-rural built-up area dynamic simulation and spatial governance path research [Phd thesis]. Hangzhou, Zhejiang: Zhejiang University; 2020.

9. Lu W, Dai C, Guo H. Land use scenario design and simulation based on Dyna-CLUE model in Dianchi Lake Watershed. Geographical Research 2015; 34(9): 1619–1629.

10. Yang L, Jie Y, Zong L, et al. Land use optimization configuration based on multi-objective genetic algorithm and FLUS model of agro-pastoral ecotone in Northwest China. Journal of Geo-information Science 2020; 22(3): 568–579.

11. Zhang J. Research on the method of land spatial optimization in the prefecture-level city based on “Multiple Planning Integration”: A case study of Yantai city [MSc thesis]. Beijing: China University of Geosciences; 2018.

12. Fan T, Yang Q, He J, et al. Spatial distribution optimization of rural residential land in hilly areas: A case study of Haitang town in Changshou district. Geographical Research 2015; 34(5): 883–894.

13.

14. Shan W, Jin X, ran N, et al. “Production-Living-

15. a)Ecological” function evaluation and coupling coordination analysis of land use in Jiangsu Province. Resources and Environment in the Yangtze River Basin 2019; 28(7): 1541–1551.

16. Jiao L, Liu Y. Sustainable urbanization and territorial spatial optimization. Geomatics and Information Science of Wuhan University 2021; 46(1): 1–11.

17.

18. Wei X, Xie Y, Sun X. Identification of potential compatibility and conflict areas of urban expansion and ecological protection based on spatial bayesian method: A case of Poyang Lake ecological economic zone. Resources and Environment in the Yangtze River Basin 2020; 29(2): 310–321.

19. Wang H, Zeng H, Zhang W, et al. Land use optimization allocation based on improved NSGA-Ⅲ by GPU parallel computing. Transactions of the Chinese Society of Agricultural Engineering 2020; 36(21): 283–291.

20. Mao P. Land use change and its comprehensive ecological effect of Savannakhet in Laos PDR [MSc thesis]. Wuhan, Hubei: Wuhan University; 2017.

21. Yuan M, Peng Y, Lin A, et al. Evaluation on ecological land use in Shawan water Economic Zone, Laos. Bulletin of Soil and Water Conservation 2017; 37(1): 234–240.




DOI: https://doi.org/10.24294/nrcr.v5i1.1571

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Yuling Peng, Xuexian Xu, Jianqiu Yu, Feiyang Liu, Wenjie Qin, Yu Xia

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

This site is licensed under a Creative Commons Attribution 4.0 International License.