Multiobjective Land-Use Optimization Allocation in Eucalyptus-Introduced Regions Based on the GMDP–ACO Model
Publication: Journal of Urban Planning and Development
Volume 147, Issue 2
Abstract
Large-scale artificial forests have replaced original land cover types such as arable land, garden land, evergreen broad-leaved forest, and Pinus khasya forest. In particular, the widespread introduction of Eucalyptus has caused great changes in land-use patterns and affected ecosystem service functions. How to rationally allocate land, improve the land utilization rate, and ecosystem service functions in a limited land area have become research hotspots. This paper mainly studies the land-use optimization in Lancang County, a large-scale eucalyptus-introduced region, by using the gray multiobjective dynamic programming (GMDP) model and the ant colony optimization (ACO) algorithm. The maximization of social, economic, and ecological benefits is used as the quantitative structure optimization objective in this model, while land-use suitability and spatial compactness are used as the spatial optimization rules. The results show the following: (1) The economic and ecological benefits are significantly improved after optimization compared with those of the current situation and the integrated land-use planning in Lancang County (i.e., the overall plan hereafter or the overall planning of land use by government departments). The social benefits are lower than those in the current situation and overall plan. (2) The suitability of the land-use spatial structure after optimization is improved to some extent compared with the land-use structures of the current situation and overall plan. In particular, the suitability of urban construction land is significantly improved after optimization. (3) The patch density (PD) index of each land-use type is significantly reduced after optimization. The fractal dimension (FRAC) indexes of urban construction land and natural reserves are increased compared with those in the current situation and in the overall plan. The compactness index (CI) of land use increases after optimization, and the degree of land-use fragmentation is improved significantly. (4) Land transfer is greater for arable land, garden land, forests, and natural reserves after optimization. Compared with the overall plan, more high-quality arable land and forest resources may be protected. In conclusion, optimized land use is conducive to promoting the rational use of land resources, socioeconomic development, and environmental protection in eucalyptus-introduced regions.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This research was funded by the National Natural Science Foundation of China (42061052 and 41361020), Joint Fund of Yunnan Provincial Science and the Technology Department and Yunnan University (2018FY001 (-017)), Project of First-class Discipline Construction of Yunnan University—Geography (C176210103 and C176210215), and Project of Internationalization and Cultural Inheritance and Innovation of Yunnan University—Transformation and Construction of Confucius Institute and Chinese and Foreign Humanities Exchanges (C176250202).
References
Aerts, S., G. Haesbroeck, and C. Ruwet. 2018. “Distribution under elliptical symmetry of a distance-based multivariate coefficient of variation.” Stat. Pap. 59: 545–579. https://doi.org/10.1007/s00362-016-0777-4.
Bao, R., F. Liu, J. P. Zhang, Y. L. Duan, S. Zhao, X. Y. Yan, and Y. Liu. 2018. “Multi-objective linear programming-based trade-off and optimization of the ecosystem services in Jiajiyu small watershed in the Loess Plateau, China.” [In Chinese.] Acta Ecol. Sin. 38: 812–828. https://doi.org/10.5846/stxb201612012472.
Chattopadhyay, B., and K. Kelley. 2016. “Estimation of the coefficient of variation with minimum risk: A sequential method for minimizing sampling error and study cost.” Multivar. Behav. Res. 51: 627–648. https://doi.org/10.1080/00273171.2016.1203279.
Chew, X. Y., K. W. Khaw, and W. C. Yeong. 2019. “The efficiency of run rules schemes for the multivariate coefficient of variation: A Markov chain approach.” J. Appl. Stat. 33: 1–21. https://doi.org/10.1080/02664763.2019.1643296.
Chibilev, A. A., V. P. Petrishchev, S. V. Levykin, A. K. Ashikkaliev, and G. V. Kazachkov. 2016. “The soil-ecological index as an integral indicator for the optimization of the land-use structure.” Geogr. Nat. Resour. 37: 148–155. https://doi.org/10.1134/S1875372816040090.
Costanza, R., et al. 1998. “The value of the world’s ecosystem services and natural capital.” Ecol. Econ. 25: 3–15. https://doi.org/10.1016/S0921-8009(98)00020-2.
Das, B., A. Singh, S. N. Panda, and H. Yasuda. 2015. “Optimal land water resources allocation policies for sustainable irrigated agriculture.” Land Use Policy 42: 527–537. https://doi.org/10.1016/j.landusepol.2014.09.012.
Davies, S. N. G., L. W. C. Lai, and C. M. Hansley. 2018. “Seen from above: The theoretical future of aerial photos in land use, environmental and planning study.” Land Use Policy 78: 19–28. https://doi.org/10.1016/j.landusepol.2018.06.036.
Delphin, S., F. J. Escobedo, A. Abd-Elrahman, and W. P. Cropper. 2016. “Urbanization as a land use change driver of forest ecosystem services.” Land Use Policy 54: 188–199. https://doi.org/10.1016/j.landusepol.2016.02.006.
Gabriel, S. A., J. A. Faria, and G. E. Moglen. 2006. “A multiobjective optimization approach to smart growth in land development.” Socio-Econ. Plann. Sci. 40: 212–248. https://doi.org/10.1016/j.seps.2005.02.001.
Hong, H. Z., N. Z. Yong, B. J. Xiao, R. S. Bang, and K. Z. Yin. 2016. “Simulating multi-objective land use optimization allocation using multi-agent system—A case study in Changsha, China.” Ecol. Modell. 320: 334–347. https://doi.org/10.1016/j.ecolmodel.2015.10.017.
Huang, B., and W. T. Zhang. 2014. “Sustainable land-use planning for a downtown lake area in central China: Multiobjective optimization approach aided by urban growth modeling.” J. Urban Plann. Dev. 140 (2): 04014002. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000186.
Jiang, C., H. Zhang, Z. Tang, and L. Labzovskii. 2017. “Evaluating the coupling effects of climate variability and vegetation restoration on ecosystems of the Loess Plateau, China.” Land Use Policy 69: 134–148. https://doi.org/10.1016/j.landusepol.2017.08.019.
Khaledian, Y., F. Kiani, S. Ebrahimi, E. C. Brevik, and J. Aitkenhead-Peterson. 2017. “Assessment and monitoring of soil degradation during land use change using multivariate analysis.” Land Degrad. Dev. 28: 128–141. https://doi.org/10.1002/ldr.2541.
Le, Q. B., S. J. Park, and P. L. G. Vlek. 2010. “Land use dynamic simulator (LUDAS): A multi-agent system model for simulating spatial-temporal dynamics of coupled human-landscape system: 2. Scenario-based application for impact assessment of land-use policies.” Ecol. Inf. 5: 203–221. https://doi.org/10.1016/j.ecoinf.2010.02.001.
Li, F. X., Y, Gong, L. Y. Cai, C. Y. Sun, Y. M. Chen, Y. X. Liu, and P. H. Jiang. 2018. “Sustainable land-use allocation: A multiobjective particle swarm optimization model and application in Changzhou, China.” J. Urban Plann. Dev. 144 (2): 04018010. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000425.
Li, X., X. P. Liu, J. Q. He, L. I. D, Y. M. Chen, Y. Pang, and S. Y. Li. 2009. “A geographical simulation and optimization system based on coupling strategies.” [In Chinese.] Acta Geog. Sin. 64: 1009–1018.
Li, X., and L. Parrott. 2016. “An improved genetic algorithm for spatial optimization of multi-objective and multi-site land use allocation.” Comput. Environ. Urban Syst. 59: 184–194. https://doi.org/10.1016/j.compenvurbsys.2016.07.002.
Liu, J. J., M. Xia, and Y. Z. Liu. 2018. “Driving mechanism of rural land use change based on multi-agent system and cellular automata.” [In Chinese.] Trans. Chin. Soc. Agric. Eng. 34: 242–252.
Makowski, D., E. M. T. Hendrix, M. K. V. Ittersum, and W. A. H. Rossing. 2000. “A framework to study nearly optimal solutions of linear programming models developed for agricultural land use exploration.” Ecol. Modell. 131: 65–77. https://doi.org/10.1016/S0304-3800(00)00249-0.
Mao, Y., Q. Tang, Z. Li, and L. Zhang. 2018. “Mixed-integer linear programming method for multi-degree and multi-hoist cyclic scheduling with time windows.” Eng. Optim. 50: 1–18. https://doi.org/10.1080/0305215X.2017.1418865.
Mesfin, S., S. Osamu, C. Fürst, S. Demissew, and K. Yeshitela. 2019. “Future land use management effects on ecosystem services under different scenarios in the Wabe river catchment of Gurage Mountain chain landscape, Ethiopia.” Sustainability Sci. 14: 175–190. https://doi.org/10.1007/s11625-018-0585-y.
Mohammadi-Behzad, H. R., A. Charchi, N. Kalantari, A. M. Nejad, and H. K. Vardanjani. 2019. “Delineation of groundwater potential zones using remote sensing (RS), geographical information system (GIS) and analytic hierarchy process (AHP) techniques: A case study in the Leylia–Keynow watershed, southwest of Iran.” Carbonates Evaporites 34: 1307–1319. https://doi.org/10.1007/s13146-018-0420-7.
Ortega, M. F., D. E. Guerrero, M. J. García-Martínez, D. Bolonio, and J. F. Llamas. 2018. “Optimization of land farming amendments based on soil texture and crude oil concentration.” Water Air Soil Pollut. 1: 229–234. https://doi.org/10.1007/s11270-018-3891-1.
Porta, J., J. Parapar, D. Ramón, F. F. Rivera, I. Santé, and R. Crecente. 2013. “High performance genetic algorithm for land use planning.” Comput. Environ. Urban Syst. 37: 45–58. https://doi.org/10.1016/j.compenvurbsys.2012.05.003.
Quintas-Soriano, C., A. J. Castro, H. Castro, and M. García-Llorente. 2016. “Impacts of land use change on ecosystem services and implications for human well-being in Spanish drylands.” Land Use Policy 54: 534–548. https://doi.org/10.1016/j.landusepol.2016.03.011.
Rabbing, R., and H. C. Van Latesteijn. 1992. “Long-term options for land use in the European Community.” Agric. Syst. 40 (1–3): 195–210. https://doi.org/10.1016/0308-521X(92)90021-F.
Rimal, B., L. F. Zhang, H. Keshtkar, N. Wang, and Y. Lin. 2017. “Monitoring and modeling of spatiotemporal urban expansion and land-use/land-cover change using integrated Markov chain cellular automata model.” ISPRS Int. J. Geo-Inf. 6: 288. https://doi.org/10.3390/ijgi6090288.
Risbeck, M. J., C. T. Maravelias, J. B. Rawlings, and R. D. Turney. 2017. “A mixed-integer linear programming model for real-time cost optimization of building heating, ventilation, and air conditioning equipment.” Energy Build. 142: 220–235. https://doi.org/10.1016/j.enbuild.2017.02.053.
Shizuka, H., D. G. Rajarshi, K. Kei, M. Takanori, H. Chihiro, S. Osamu, and T. Kazuhiko. 2019. “Scenario analysis of land-use and ecosystem services of social–ecological landscapes: Implications of alternative development pathways under declining population in the Noto Peninsula, Japan.” Sustainability Sci. 14: 53–75. https://doi.org/10.1007/s11625-018-0626-6.
Stewart, T. J., and R. Janssen. 2014. “A multiobjective GIS-based land use planning algorithm.” Comput. Environ. Urban Syst. 46: 25–34. https://doi.org/10.1016/j.compenvurbsys.2014.04.002.
Theobald, D. M., T. Spies, J. Kline, B. Maxwell, N. T. Hobbs, and V. H. Dale. 2005. “Ecological support for rural land-use planning.” Ecol. Appl. 15: 1906–1914. https://doi.org/10.1890/03-5331.
Thomas, N. G., and Y. S. Zhang. 2008. “Optimizing construction time and cost using ant colony optimization approach.” J. Constr. Eng. Manage. 134 (9): 721–728. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:9(721).
Tong, H. L., P. J. Shi, S. H. Bao, X. B. Zhang, and X. Y. Nie. 2018. “Optimization of urban land development spatial allocation based on ecology–economy comparative advantage perspective.” J. Urban Plann. Dev. 144 (2): 05018006. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000444.
Wang, X. H., Y. Sheng, and G. H. Huang. 2004. “Land allocation based on integrated GIS-optimization modeling at a watershed level.” Landscape Urban Plann. 66: 61–74. https://doi.org/10.1016/S0169-2046(03)00095-1.
Wu, X. T., S. A. Wang, B. J. Fu, Y. Liu, and Y. Zhu. 2018. “Land use optimization based on ecosystem service assessment: A case study in the Yanhe watershed.” Land Use Policy 72: 303–312. https://doi.org/10.1016/j.landusepol.2018.01.003.
Xie, G. D., C. X. Zhang, L. M. Zhang, W. H. Chen, and S. M. Li. 2015. “Improvement of the evaluation method for ecosystem service value based on per unit area.” [In Chinese.] J. Nat. Resour. 30: 1243–1254.
Xie, Y. Q., B. C. Runck, S. Shekhar, L. Kne, D. Mulla, N. Jordan, and P. Wiringa. 2017. “Collaborative geodesign and spatial optimization for fragmentation-free land allocation.” ISPRS Int. J. Geo-Inf. 6: 226. https://doi.org/10.3390/ijgi6070226.
Xu, Q. L., K. Yang, G. L. Wang, and Y. L. Yang. 2014. “Simulation of land use change of Erhai Lake Basin based on ant colony optimization.” [In Chinese.] Trans. Chin. Soc. Agric. Eng. 30: 290–297.
Zhao, B., U. Kreuter, B. Li, Z. Ma, J. Chen, and N. Nakagoshi. 2004. “An ecosystem service value assessment of land-use change on Chongming Island, China.” Land Use Policy 21: 139–148. https://doi.org/10.1016/j.landusepol.2003.10.003.
Zhao, D. J., W. Qi, S. T. Zhao, and Y. B. Qu. 2008. “Land use pattern optimization in mountainous areas at county level based on GIS.” [In Chinese.] Trans. Chin. Soc. Agric. Eng. 24: 101–106.
Zhao, X. Q., N. Ding, and P. Yan. 2012a. “Changing rules of physical and chemical properties of eucalyptus forest at different ages in southwest of Yunnan Province.” [In Chinese.] J. Anhui Agric. Sci. 13: 1298–1302.
Zhao, X. Q., C. L. He, and Q. Yi. 2012b. “Soil moisture and water conservation in Eucalyptus uraphylla spp. introduction mountain area.” [In Chinese.] J. Soil Water Conserv. 26: 205–210.
Zhao, X. Q., J. W. Pu, X. Y. Wang, J. X. Chen, L. E. Yang, and Z. X. Gu. 2018. “Land-use spatio-temporal change and its driving factors in an artificial forest area in Southwest China.” Sustainability 10: 4066. https://doi.org/10.3390/su10114066.
Zhang, W. H., C. F. Wei, and J. Zhou. 2010. “Optimal allocation of rainfall in the Sichuan Basin, Southwest China.” Water Resour. Manage. 24: 4529–4549. https://doi.org/10.1007/s11269-010-9673-1.
Zhang, W. T., H. J. Wang, K. Cao, S. W. He, and L. Y. Shan. 2019. “Ecological conservation and economic development-based multiobjective land-use optimization: Case study of a rapidly developing city in central China.” J. Urban Plann. Dev. 145 (1): 05018023. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000481.
Zscheischler, J., S. Rogga, and A. Lange. 2018. “The success of transdisciplinary research for sustainable land use: Individual perceptions and assessments.” Sustainability Sci. 13: 1061–1074. https://doi.org/10.1007/s11625-018-0556-3.
Information & Authors
Information
Published In
Journal of Urban Planning and Development
Volume 147 • Issue 2 • June 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Jan 1, 2020
Accepted: Oct 22, 2020
Published online: Jan 28, 2021
Published in print: Jun 1, 2021
Discussion open until: Jun 28, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.