Abstract
Reasonable planning of the limited land resources can promote the coordinated development of social economic and ecological protection. It is very important to optimize the rational distribution of land resources in the arid inland river basin because of the scarce land. In this paper, the GIS technologies of spatial analysis, conversion of land use, and its effects at small regional extent (CLUE-S) and minimum cumulative resistance (MCR) model were used to optimize the land allocation. The ecological security pattern (ESP) was constructed through using MCR model, which included ecological source and resistance surface. The dynamics of land use and spatial optimizing allocation of Shiyang River Basin in 2025 and 2030 was simulated under three different optimization scenarios including farmland protection scenario (FPS), free development scenario (FDS), and ecological security pattern scenario (ESPS). It was found that under ESPS, farmland was reduced, but woodland, grassland, and water body were increased significantly. Under FPS, land for construction was controlled effectively, a large part of homestead was converted into farmland, and the potential of unused land was developed vigorously. Furthermore, the current FDS and macro policy guidance should be comprehensively considered. The ESPS was more suitable for the scientific development of Shiyang River Basin on a long view. The combination of CLUE-S and MCR can effectively improve the optimization methods under ecological process and ecological resistance of landscape elements.
Graphical Abstract
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data availability
All data collected or analyzed during this study are included in this manuscript, and further data related to this study if needed can be available from the corresponding author on reasonable request.
References
Cai YM, Liu YS, Yu ZR, Verburg PH (2004) Progress in spatial simulation of land use change: CLUE-S model and its application. Prog Geogr 23(4):63–71 (in Chinese)
Chen Y, Xu YP, Yin YX (2009) Simulation of the hydrologic response to land-use and land-cover changes scenarios: a case study of Xi tiao xi Basin. J Nat Resour 24(2):351–359 (in Chinese)
Costanza R, d’Arge R, de Groot R, Farber S, Grasso M, Hannon B, Limburg K, Naeem S, O’Neill RV, Paruelo J, Raskin RG, Sutton P, van den Belt M (1997) The value of the world’s ecosystem services and natural capital. Nature 387(6630):253–260. https://doi.org/10.1038/387253a0
Cui XF, Deng W, Yang JX, Huang W, de Vries WT (2022) Construction and optimization of ecological security patterns based on social equity perspective: a case study in Wuhan, China. Ecol Indic 136:108714. https://doi.org/10.1016/j.ecolind.2022.108714
Easton ZM, Fuka DR, Walter MT, Cowan DM, Schneiderman EM, Steenhuis TS (2008) Re-conceptualizing the soil and water assessment tool (SWAT) model to predict runoff from variable source areas. J Hydrol 348(3–4):279–291. https://doi.org/10.1016/j.jhydrol.2007.10.008
Fotakis D, Sidiropoulos E (2012) A new multi-objective self-organizing optimization algorithm (MOSOA) for spatial optimization problems. Appl Math Comput 218(9):5168–5180. https://doi.org/10.1016/j.amc.2011.11.003
Goldstein JH, Caldarone G, Duarte TK, Ennaanay D, Hannahs N, Mendoza G, Polasky S, Wolny S, Daily GC (2012) Integrating ecosystem-service tradeoffs into land-use decisions. P Natl Acad Sci USA 109(19):7565–7570. https://doi.org/10.1073/pnas.1201040109
Gong JZ, Liu YS, Xia BC (2009) Spatial heterogeneity of urban land-cover landscape in Guangzhou from 1990 to 2005. J Geogr Sci 19(2):213–224. https://doi.org/10.1007/s11442-009-0213-y
Han HR, Yang CF, Song JP (2015) Scenario simulation and the prediction of land use and land cover change in Beijing, China. Sustainability 7(4):4260–4279. https://doi.org/10.3390/su7044260
Jenerette GD, Wu JG (2001) Analysis and simulation of land-use change in the central Arizona – Phoenix region, USA. Landsc Ecol 16(7):611–626. https://doi.org/10.1023/A:1013170528551
Knaapen JP, Scheffer M, Harms B (1992) Estimating habitat isolation in landscape planning. Landsc Urban Plan 23(1):1–16. https://doi.org/10.1016/0169-2046(92)90060-D
Lambin EF, Rounsevell MDA, Geist HJ (2000) Are agricultural land-use models able to predict changes in land-use intensity? Agr Ecosyst Environ 82(1):321–331. https://doi.org/10.1016/S0167-8809(00)00235-8
Lambin EF, Turner BL, Geist HJ, Agbola SB, Angelsen A, Bruce JW, Coomes OT, Dirzo R, Fischer G, Folke C, George PS, Homewood K, Imbernon J, Leemans R, Li XB, Moran EF, Mortimore M, Ramakrishnan PS, Richards JF, Skånes H, Steffen W, Stone GD, Svedin U, Veldkamp TA, Vogel C, Xu J (2001) The causes of land-use and land-cover change: moving beyond the myths. Global Environ Chang 11(4):261–269. https://doi.org/10.1016/S0959-3780(01)00007-3
Li F, Ye YP, Song BW, Wang RS (2015) Evaluation of urban suitable ecological land based on the minimum cumulative resistance model: a case study from Changzhou, China. Ecol Model 318:194–203. https://doi.org/10.1016/j.ecolmodel.2014.09.002
Liao GT, He P, Gao XS, Lin ZY, Huang CY, Zhou W, Deng OP, Xu CH, Deng LJ (2022) Land use optimization of rural production–living–ecological space at different scales based on the BP–ANN and CLUE–S models. Ecol Indic 137:108710. https://doi.org/10.1016/j.ecolind.2022.108710
Liu JY, Liu ML, Tian HQ, Zhuang DF, Zhang ZX, Zhang W, Tang XM, Deng XZ (2005) Spatial and temporal patterns of China’s cropland during 1990–2000: an analysis based on Landsat TM data. Remote Sens Environ 98(4):442–456. https://doi.org/10.1016/j.rse.2005.08.012
Liu XP, Li X, Shi X, Huang KN, Liu YL (2012) A multi-type ant colony optimization (MACO) method for optimal land use allocation in large areas. Int J Geogr Inf Sci 26(7):1325–1343. https://doi.org/10.1080/13658816.2011.635594
Ma JZ, Zhang P, Zhu GF, Wang YQ, Edmunds WM, Ding ZY, He JH (2012) The composition and distribution of chemicals and isotopes in precipitation in the Shiyang River system, northwestern China. J Hydrol 436–437:92–101. https://doi.org/10.1016/j.jhydrol.2012.02.046
Manel S, Williams HC, Ormerod SJ (2001) Evaluating presence-absence models in ecology: the need to account for prevalence. J Appl Ecol 38(5):921–931. https://doi.org/10.1046/j.1365-2664.2001.00647.x
Pontius RG, Schneider LC (2001) Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agr Ecosyst Environ 85(1):239–248. https://doi.org/10.1016/S0167-8809(01)00187-6
Ruelland D, Tribotte A, Puech C, Dieulin C (2011) Comparison of methods for LUCC monitoring over 50 years from aerial photographs and satellite images in a Sahelian catchment. Int J Remote Sens 32(6):1747–1777. https://doi.org/10.1080/01431161003623433
Scarborough VL, Dunning NP, Tankersley KB, Carr C, Weaver E, Grazioso L, Lane B, Jones JG, Buttles P, Valdez F, Lentz DL (2012) Water and sustainable land use at the ancient tropical city of Tikal, Guatemala. Proc Natl Acad Sci 109(31):12408–12413. https://doi.org/10.1073/pnas.1202881109
Semadeni-Davies A, Jones-Todd C, Srinivasan MS, Muirhead R, Elliott A, Shankar U, Tanner C (2020) CLUES model calibration and its implications for estimating contaminant attenuation. Agr Water Manag 228:105853. https://doi.org/10.1016/j.agwat.2019.105853
Seto KC, Fragkias M (2005) Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landsc Ecol 20(7):871–888. https://doi.org/10.1007/s10980-005-5238-8
Sohl TL, Claggett PR (2013) Clarity versus complexity: land-use modeling as a practical tool for decision-makers. J Environ Manag 129:235–243. https://doi.org/10.1016/j.jenvman.2013.07.027
Stewart TJ, Janssen R, van Herwijnen M (2004) A genetic algorithm approach to multiobjective land use planning. Comput Oper Res 31(14):2293–2313. https://doi.org/10.1016/S0305-0548(03)00188-6
Su YX, Chen XZ, Liao JS, Zhang HG, Wang CJ, Ye YY, Wang Y (2016) Modeling the optimal ecological security pattern for guiding the urban constructed land expansions. Urban for Urban Gree 19:35–46. https://doi.org/10.1016/j.ufug.2016.06.013
Turner BL, Lambin Eric F, Reenberg A (2007) The emergence of land change science for global environmental change and sustainability. Proc Natl Acad Sci 104(52):20666–20671. https://doi.org/10.1073/pnas.0704119104
Veldkamp A, Fresco LO (1997) Exploring land use scenarios, an alternative approach based on actual land use. Agr Syst 55(1):1–17. https://doi.org/10.1016/S0308-521X(95)00079-K
Verburg PH, de Koning GHJ, Kok K, Veldkamp A, Bouma J (1999) A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use. Ecol Model 116(1):45–61. https://doi.org/10.1016/S0304-3800(98)00156-2
Verburg PH, Chen YQ, Veldkamp T (2000) Spatial explorations of land use change and grain production in China. Agr Ecosyst Environ 82(1–3):333–354. https://doi.org/10.1016/S0167-8809(00)00236-X
Verburg PH, Schot PP, Dijst MJ, Veldkamp A (2004) Land use change modelling: current practice and research priorities. GeoJournal 61(4):309–324. https://doi.org/10.1007/s10708-004-4946-y
Verburg PH, Eickhout B, van Meijl H (2008) A multi-scale, multi-model approach for analyzing the future dynamics of European land use. Ann Reg Sci 42(1):57–77. https://doi.org/10.1007/s00168-007-0136-4
Wang YY, Chao BX, Dong P, Zhang D, Yu WW, Hu WJ, Ma ZY, Chen GC, Liu ZH, Chen B (2021) Simulating spatial change of mangrove habitat under the impact of coastal land use: coupling MaxEnt and Dyna-CLUE models. Sci Total Environ 788:147914. https://doi.org/10.1016/j.scitotenv.2021.147914
Wei W, Lei L, Fan W, Zhou JJ, Shi W, Xie BB (2015) Water-soil resources optimization based on accumulative cost resistance model in Shiyang River basin. Chin J Ecol 34(2):532–540 (in Chinese)
Wei W, Li ZY, Xie BB, Zhou JJ, Guo ZC (2020) Spatial distance-based integrated evaluation of environmentally sensitivity for ecological management in northwest China. Ecol Indic 118:106753. https://doi.org/10.1016/j.ecolind.2020.106753
Wei W, Liu CY, Ma LB, Zhang XY, Xie BB (2022) Ecological land suitability for arid region at river basin scale: framework and application based on minmum cumulative resistance (MCR) Model. Chinese Geogr Sci 32(2):312–323. https://doi.org/10.1007/s11769-022-1261-9
Yin JB, Li H, Wang DY, Liu SH (2020) Optimization of rural settlement distributions based on the ecological security pattern: a case study of Da’an City in Jilin Province of China. Chinese Geogr Sci 30(5):824–838. https://doi.org/10.1007/s11769-020-1128-x
Yue DP, Wang JP, Liu YB, Zhang XL, Li HL, Wang J (2009) Ecologically based landscape pattern optimization in northwest of Beijing. J Geogr Sci 19(3):359–372. https://doi.org/10.1007/s11442-009-0359-7
Zhang JQ, Su YR, Wu JS, Liang HB (2015) GIS based land suitability assessment for tobacco production using AHP and fuzzy set in Shandong province of China. Comput Electron Agr 114:202–211. https://doi.org/10.1016/j.compag.2015.04.004
Zhang HH, Zeng YN, Jin XB, Shu BR, Zhou YK, Yang XH (2016) Simulating multi-objective land use optimization allocation using multi-agent system—a case study in Changsha, China. Ecol Model 320:334–347. https://doi.org/10.1016/j.ecolmodel.2015.10.017
Zhang D, Wang XR, Qu LP, Li SC, Lin YP, Yao R, Zhou X, Li J (2020) Land use/cover predictions incorporating ecological security for the Yangtze River Delta region, China. Ecol Indic 119:106841. https://doi.org/10.1016/j.ecolind.2020.106841
Zheng HW, Shen GQ, Wang H, Hong JK (2015) Simulating land use change in urban renewal areas: a case study in Hong Kong. Habitat Int 46:23–34. https://doi.org/10.1016/j.habitatint.2014.10.008
Zhou R, Zhang H, Ye XY, Wang XJ, Su HL (2016) The delimitation of urban growth boundaries using the CLUE-S land-use change model: study on Xinzhuang Town, Changshu City, China. Sustainability 8(11):1182. https://doi.org/10.3390/su8111182
Zhou L, Dang XW, Sun QK, Wang SH (2020) Multi-scenario simulation of urban land change in Shanghai by random forest and CA-Markov model. Sustain Cities Soc 55:102045. https://doi.org/10.1016/j.scs.2020.102045
Zhou L, Dang XW, Mu HW, Wang B, Wang SH (2021) Cities are going uphill: slope gradient analysis of urban expansion and its driving factors in China. Sci Total Environ 775:145836. https://doi.org/10.1016/j.scitotenv.2021.145836
Funding
This work was supported by National Natural Science Foundation of China (Grant numbers 41861040 and 41761047) and Natural Science Foundation of Gansu Province (grant numbers1506RJZA129).
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. The first draft of the manuscript was written by Binbin Xie, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript. Binbin Xie: conceptualization, material preparation, methodology, writing—original draft; Wei Wei: formal analysis, methodology; Congying Liu: validation, discussion; Junju Zhou: supervision, revision; Liang Zhou: funding acquisition.
Corresponding author
Ethics declarations
Ethical approval and consent to participate
Not applicable.
Consent for publication
Consent was given by all the authors.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Philippe Garrigues
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Highlights
• Minimum cumulative resistance (MCR) model was improved and used to optimize the allocation of land use through understanding the ecological process.
• The minimum cumulative resistance model was combined to GIS overlay analysis to calculate the ecological security pattern (ESP) partitions for land use allocation.
• The MCR model was combined with CLUE-S model to improve the characterization and presentation of the land use allocation.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Xie, B., Wei, W., Liu, C. et al. Optimal allocation for land in an arid inland basin in northwest China: framework and application based on CLUE-S and MCR models. Environ Sci Pollut Res 30, 95758–95772 (2023). https://doi.org/10.1007/s11356-023-29071-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-29071-x