Research on land use pattern change and its influencing factors based on the coupling model: evidence from Zhongshan, China

References

• Arsanjani JJ, Helbich M, Kainz W, Boloorani AD. 2013. Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. Int J Appl Earth Obs Geoinf. 21:265–275.
   Google Scholar
• Cai CR, Shu BR, Zhu H, Yuan X, Yong XQ. 2020. Modeling land use change by considering regional heterogeneous driving mechanism. China Land Sci. 34(11):38–47.
   Google Scholar
• Chen XZ, Fan SL, Lin XD, Huang YH. 2017. Spatial simulation and analysis of land use and land cover change of Longhai City based on Logistic-CA-Markov model. J Fujian Agric For Univ. 46(6):685–691.
   Google Scholar
• Chu L, Zhang XR, Wang TW, Li ZX, Cai CF. 2018. Spatial-temporal evolution and prediction of urban landscape pattern and habitat quality based on CA-Markov and InVEST model. Chinese J Appl Ecol. 29(12):4106–4118.
   Google Scholar
• Dai RF, Ma L. 2018. Review on land change modeling approaches. Prog Geogr. 37(1):152–162.
   Google Scholar
• Davey TM, Selvey LA. 2020. Relationship between land use/land-use change and human health in Australia: a scoping study. Int J Environ Res Public Health. 17(23):8992. doi: 10.3390/ijerph17238992.
   PubMed Web of Science ®Google Scholar
• David NP. 2015. Factors affecting municipal land use cooperation. Land Use Policy. 42:170–182. doi: 10.1016/j.landusepol.2014.07.013.
   Web of Science ®Google Scholar
• De Jong L, De Bruin S, Knoop J, van Vliet J. 2021. Understanding land-use change conflict: a systematic review of case studies. J Land Use Sci. 16(3):223–239. doi: 10.1080/1747423X.2021.1933226.
   Web of Science ®Google Scholar
• Dempsey JA, Plantinga AJ, Kline JD, Lawler JJ, Martinuzzi S, Radeloff VC, Bigelow DP. 2017. Effects of local land-use planning on development and disturbance in riparian areas. Land Use Policy. 60:16–25. doi: 10.1016/j.landusepol.2016.10.011.
   Web of Science ®Google Scholar
• Fawcett T. 2006. An introduction to ROC analysis. Pattern Recog Lett. 27(8):861–874. doi: 10.1016/j.patrec.2005.10.010.
   Web of Science ®Google Scholar
• Feng WB, Lin MZ, Gong JZ, Zhao JM, Zhong L, Liu HY. 2022. Spatiotemporal differentiation of habitat quality in Zhongshan City based on Flus-InVEST model. Ecol Sci. 41(3):16–23.
   Google Scholar
• He YT, Wang SY, Yuan ZJ, Zheng MG, Huang B, Liang C. 2020. Land use change and its response to urbanization in the Pearl River Delta. Ecol Environ Sci. (2):303–310.
   Google Scholar
• Hou X, Chang B, Yu X. 2004. Land use change in Hexi corridor based on CA-Markov methods. Nongye Gongcheng Xuebao. 20(5):286–291.
   Google Scholar
• Houghton RA, Skole DL, Nobre CA, Hackler JL, Lawrence KT, Chomentowski WH. 2000. Annual fluxes of carbon from deforestation and regrowth in the Brazilian Amazon. Nature. 403(6767):301–304. doi: 10.1038/35002062.
   PubMed Web of Science ®Google Scholar
• Hu N, Legara EF, Lee KK, Hung GG, Monterola C. 2016. Impacts of land use and amenities on public transport use, urban planning and design. Land Use Policy. 57:356–367. doi: 10.1016/j.landusepol.2016.06.004.
   Web of Science ®Google Scholar
• Jamali AA, Behnam A, Almodaresi SA, He S, Jaafari A. 2023. Exploring factors influencing urban sprawl and land-use changes analysis using systematic points and random forest classification. Environ Dev Sustain. [accessed 2023 July 28]. doi: 10.1007/s10668-023-03633-y.
   Web of Science ®Google Scholar
• Kim JH. 2011. Linking land use planning and regulation to economic development: a literature review. J Plan Liter. 26(1):35–47. doi: 10.1177/0885412210382985.
   Web of Science ®Google Scholar
• Lauf S, Haase D, Hostert P, Lakes T, Kleinschmit B. 2012. Uncovering land-use dynamics driven by human decision-making–a combined model approach using cellular automata and system dynamics. Environ Modell Softw. 27–28:71–82. doi: 10.1016/j.envsoft.2011.09.005.
   Web of Science ®Google Scholar
• Lerner DN, Harris B. 2009. The relationship between land use and groundwater resources and quality. Land Use Policy. 26: s 265–S273. doi: 10.1016/j.landusepol.2009.09.005.
   Web of Science ®Google Scholar
• Li C, Gao BP, Wu YM, Zheng KJ, W Y. 2022. Dynamic simulation of landscape ecological risk in mountain towns based on PLUS model. J Zhejiang Univ Sci B. 23(1):84–88. doi: 10.1631/jzus.B2100508.
   PubMedGoogle Scholar
• Li J, Cao Y, Li Y, Chu J, Wang Y, Ma M. 2023. Using EL-CA model to predict multi-scenario land sustainable use simulation and urban development. J Exp Nanosci. 18(1):2170352. doi: 10.1080/17458080.2023.2170352.
   Web of Science ®Google Scholar
• Li SF, Hong ZL, Xue XP, Zhang FJ, Shi W. 2022. Multi-scenario simulation of LUCC in Binzhou City based on Logistic-CA-Markov coupling model. Res Soil Water Conserv. 29(4):292–299.
   Google Scholar
• Lin MZ, Ge ZP, Ji ST, Xie GW. 2016. Ecological risk assessment and land use change in Zhongshan City. Ecol Sci. 35(5):96–104.
   Google Scholar
• Liu SH, He SJ. 2002. A spatial analysis model for measuring the rate of land use change. J Nat Resour. 17(5):533–539. (in Chinese).
   Google Scholar
• Liu HY, Lin MZ, Zhou RB, Zhong L. 2021. Spatial and temporal evolution of habitat quality in Guangdong-Hong Kong-Macao Greater Bay Area based on InVEST model. Ecol Sci. 40(3):82–91.
   Google Scholar
• Liu J, Kuang W, Zhang Z, Xu X, Qin Y, Ning J, Zhou W, Zhang S, Li R, Yan C, et al. 2014. Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s. J Geogr Sci. 24(2):195–210. doi: 10.1007/s11442-014-1082-6.
   Web of Science ®Google Scholar
• Liu JH, Hu TG, Pan XJ, Zhang DR, Zhng L, Li Y. 2018. Simulating coastal wetland changes in Hangzhou Bay using Markov-CLUES coupling model. Ecol Environ Sci. 27(7):1359–1368.
   Google Scholar
• Liu JY. 1997. Study on national resources & environment survey and dynamic monitoring using remote sensing. J Rem Sens. (3):225–230.
   Google Scholar
• Liu X, Liang X, Li X, Xu X, Ou J, Chen Y, Li S, Wang S, Pei F. 2017. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects. Landscape Urban Plann. 168:94–116. doi: 10.1016/j.landurbplan.2017.09.019.
   Web of Science ®Google Scholar
• Liu Z, Liu S, Jin H, Qi W. 2017. Rural population change in China: spatial differences, driving forces and policy implications. J Rural Stud. 51:189–197. doi: 10.1016/j.jrurstud.2017.02.006.
   Web of Science ®Google Scholar
• Liu Z, Wang S, Fang C. 2023. Spatiotemporal evolution and influencing mechanism of ecosystem service value in the Guangdong-Hong Kong-Macao Greater Bay Area. J Geogr Sci. 33(6):1226–1244. doi: 10.1007/s11442-023-2127-5.
   Web of Science ®Google Scholar
• Long H. 2014. Land use policy in China: introduction. Land Use Policy. 40:1–5. doi: 10.1016/j.landusepol.2014.03.006.
   Web of Science ®Google Scholar
• Luo D, Xu YQ, Shao XM, Wang J. 2008. Advances and prospects of spatial optimal allocation of land use. Prog Geogr. 28(05):791–797.
   Google Scholar
• Luo G, Yin C, Chen X, Xu W, Lu L. 2010. 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, China. Ecol Complexity. 7(2):198–207. doi: 10.1016/j.ecocom.2010.02.001.
   Web of Science ®Google Scholar
• Mohamed A, Worku H. 2020. Simulating urban land use and cover dynamics using cellular automata and Markov chain approach in Addis Ababa and the surrounding. Urban Clim. 31:100545. doi: 10.1016/j.uclim.2019.100545.
   Web of Science ®Google Scholar
• Mooney HA, Duraiappah A, Larigauderie A. 2013. Evolution of natural and social science interactions in global change research programs. Proc Natl Acad Sci USA. 110 Suppl 1(Suppl 1):3665–3672. doi: 10.1073/pnas.110748411.
   PubMedGoogle Scholar
• Nouri J, Gharagozlou A, Arjmandi R, Faryadi S, Adl M. 2014. Predicting urban land use changes using a CA–Markov model. Arab J Sci Eng. 39(7):5565–5573. doi: 10.1007/s13369-014-1119-2.
   Web of Science ®Google Scholar
• Petek F. 2005. Typology of Slovenia’s Alpine Region with emphasis on land use and changes in land use. AGS. 45(1):33–52. doi: 10.3986/AGS45102.
   Google Scholar
• Pontius RG Jr., Schneider LC. 2001. Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agric Ecosyst Environ. 85(1–3):239–248. doi: 10.1016/S0167-8809(01)00187-6.
   Web of Science ®Google Scholar
• Rounsevell MDA, Reay DS. 2009. Land use and climate change in the UK. Land Use Policy. 26:S160–S169. doi: 10.1016/j.landusepol.2009.09.007.
   Web of Science ®Google Scholar
• Ruddiman WF. 2013. The anthropocene. Annu Rev Earth Planet Sci. 41(1):45–68. doi: 10.1146/annurev-earth-050212-123944.
   Google Scholar
• Shi PJ, Wang JA, Feng WL, Ye T, Ge Y, Chen J, Liu J. 2006. Response of eco-environmental security to land use/cover changes and adjustment of land use policy and pattern in China. Adv Earth Sci. (2):111–119. 10.11867/j.issn.1001-8166.2006.02.0111.
   Google Scholar
• Turner BL II, Skole D, Sanderson S, Fischer G, Fresco L, Leemans R, editors. 1995. Land-use and land-cover change. Science/Research plan. (IGBP Report; No. 35). IGBP. https://www.ihdp.unu.edu/file/get/8605.
   Google Scholar
• Turner BL, Lambin EF, Reenberg A. 2007. The emergence of land change science for global environmental change and sustainability. Proc Natl Acad Sci USA. 104(52):20666–20671. doi: 10.1073/pnas.0704119104.
   PubMed Web of Science ®Google Scholar
• Wang B, Cheng W. 2022. Effects of land use/cover on regional habitat quality under different geomorphic types based on InVEST model. Rem Sens. 14(5):1279. doi: 10.3390/rs14051279.
   Google Scholar
• Wang M, Cai L, Xu H, Zhao S. 2019. Predicting land use changes in northern China using logistic regression, cellular automata, and a Markov model. Arab J Geosci. 12(24):1–12. doi: 10.1007/s12517-019-4985-9.
   Web of Science ®Google Scholar
• Wang SY, Liu JY. 2001. Analysis on spatial-temporal features of land use in China. Acta Geogr Sin. 56(6):631–639. (in Chinese).
   Google Scholar
• Wang SY, Liu JY, Zhang ZX, Zhou QB, Wang CY. 2002. Spatial pattern change of land use in China in recent 10 years. Acta Geogr Sin. (5):523–530.
   Google Scholar
• Wang XL, Bao YH. 1999. Study on the methods of land use dynamic change research. Prog Geogr. (1):83–89.
   Google Scholar
• Wang Y, Li GB. 2022. Research on the mechanism of rural spatial involution in the transition period. City Plan Rev. 46(1):69–76.
   Google Scholar
• Wu CJ. 1991. On the research core of geography: human-earth relationship territory system. Econ Geogr. 11(3):1–6.
   Google Scholar
• Wu D, Li H, Ai N, Huang T, Gu JS. 2020. Predicting spatiotemporal changes in land use and habitat quality based on CA-Markov: A case study in central Ningxia, China. Chin J Eco-Agric. 28(12):1969–1978. doi: 10.13930/j.cnki.cjea.200221. (in Chinese).
   Google Scholar
• Wu XX, Liu XQ, Liang X, Chen GL. 2018. Multi-scenarios simulation of urban growth boundaries in Pearl River Delta based on FLUS-UGB. J Geo-Inform Sci. 20(4):532–542.
   Google Scholar
• Xiang Q, Kan A, Yu X, Liu F, Huang H, Li W, Gao R. 2023. Assessment of topographic effect on habitat quality in mountainous area using InVEST model. Land. 12(1):186. doi: 10.3390/land12010186.
   Web of Science ®Google Scholar
• Xiao P, Zhou Y, Li M, Xu J. 2023. Spatiotemporal patterns of habitat quality and its topographic gradient effects of Hubei Province based on the InVEST model. Environ Dev Sustain. 25(7):6419–6448. doi: 10.1007/s10668-022-02310-w.
   Web of Science ®Google Scholar
• Xiao WP, Gong JZ, Wei XG. 2019. Spatio-temporal change and its driving factors of dike-pond landscape in Zhongshan, 1980–2015. Ecol Sci. 38(6):64–73.
   Google Scholar
• Xu GH, Ge QS, Gong P, Fang XQ. 2013. Global change and human sustainable development: challenges and countermeasures. Sci Chin Press. 58(21):2100–2106.
   Google Scholar
• Xu JY, Zhang ZX, Zhao XL, Liu B, Yi L. 2015. Spatial-temporal characteristics and driving forces of urban sprawl for major cities of the Pearl River Delta region in recent 40 years. Acta Sci Nat Univ Pek. 51(6):1119–1131.
   Google Scholar
• Yang R, Xu Q, Li L. 2016. Spatial urban-rural transformation and its driving factors in the Pearl River Delta region. Geogr Res. 35(12):2261–2272.
   Google Scholar
• Yin NN, Tang J, Yang YW, Gao XJ, Song SH, Hu Q. 2023. Variations of shoreline and land use in Guangdong-Hong Kong-Macao Greater Bay Area from 1989 to 2021. Marine Geology Frontiers. 39(5):1–11. doi: 10.16028/j.1009-2722.2022.158. (in Chinese)
   Google Scholar
• Yohannes H, Soromessa T, Argaw M, Dewan A. 2021. Spatio-temporal changes in habitat quality and linkage with landscape characteristics in the Beressa watershed, Blue Nile basin of Ethiopian highlands. J Environ Manage. 281:111885. doi: 10.1016/j.jenvman.2020.111885.
   PubMed Web of Science ®Google Scholar
• Yu ZL, Zhao MS, Gao YF, Wang T, Zhao ZD, Wang SH. 2023. Land use simulation and multi-scenario prediction based on CLUE-S and PLUS models in Huaibei City Online First. J Agric Resour Environ. 1–15.
   Google Scholar
• Yuan XS, Zhou J, Hu BB, Gao Q. 2023. Multi-scenario simulation and prediction of ecological-productive-living spaces in Guangdong-Hong Kong-Macao Greater Bay Area based on FLUS model. Sci Geogr Sin. 43(3):564–574.
   Google Scholar
• Zeng LY, Wang J, Wang HY. 2009. Analysis and simulation of cultivated land conversion and distribution in Beijing mountainous areas based on GIS and logistic regression model. Acta Sci Nat Univ Pek. 45(1):165–170.
   Google Scholar
• Zhang MB. 2013. Analysis on construction land increasing in Reunt 20 years in Zhongshan City based on GIS. Hubei Agric Sci. 52(6):1284–1286.
   Google Scholar
• Zhang R, Wang YM, Chang JX, Li YY. 2019. Response of land use change to human activities in the Yellow River Basin based on water resources division. J Nat Resour. 34(2):274–287. doi: 10.31497/zrzyxb.20190205.
   Google Scholar
• Zhang XJ, Zhou QG, Wang ZL, Wang FH. 2017. Simulation and prediction of land use change in Three Gorges Reservoir Area based on MCE-CA-Markov. Trans Chinese Soc Agric Eng. 33(19):268–277.
   Google Scholar
• Zhang YY, Lu FT, Mai JK, Wang YY. 2021. Analysis of landscape ecological risk evolution based on land use/cover change. Geospat Inform. 19(9):44–49 + 157.
   Google Scholar
• Zheng JC, Xie BG, You XB. 2022. Evolution of habitat quality and its influencing factors in the different terrain gradient of the Guangdong-Hong Kong-Macao Greater Bay Area from 1980 to 2020. Econ Geogr. 42(8):41–50.
   Google Scholar
• Zhongshan Statistical Bureau. 2011. Zhongshan statistical yearbook 2011. Zhongshan: Zhongshan Statistics Bureau (中山市统计年鉴). [cited 2023 Aug 21]. http://stats.zs.gov.cn/zwgk/tjxx/tjnj/content/post_1342237.html.
   Google Scholar
• Zhongshan Statistical Bureau. 2012. Zhongshan statistical yearbook 2012. Zhongshan: Zhongshan Statistics Bureau (中山市统计年鉴). [cited 2023 Aug 21]. http://stats.zs.gov.cn/zwgk/tjxx/tjnj/content/post_1342238.html.
   Google Scholar
• Zhongshan Statistical Bureau. 2022. Zhongshan statistical yearbook 2022. Zhongshan: Zhongshan Statistics Bureau (中山市统计年鉴). [cited 2023 Aug 21]. http://stats.zs.gov.cn/zwgk/tjxx/tjnj/content/post_2184419.html.
   Google Scholar
• Zhu HY, Li XB. 1997. Discussion on the method of regional land use change index model. Acta Geogr Sin. (5):643–650.
   Google Scholar