Abstract
As the most economically developed metropolitan area in China’s Yangtze River Delta, the rapid changing land use patterns of Suzhou-Wuxi-Changzhou (Su-Xi-Chang) metropolitan area have profound impacts on the ecosystem service value (ESV). Based on the patterns of land use change and the ESV change in Su-Xi-Chang metropolitan area from 2000 to 2020, we set up four scenarios: natural development scenario, urban development scenario, arable land protection scenario and ecological protection scenario, and simulated the impact of land use changes on the ESV in these scenarios. The results showed that: 1) the area of built-up land in the Su-Xi-Chang metropolitan area increased significantly from 2000 to 2020, and the area of other types of land decreased. Arable land underwent the highest transfer-out area, and was primarily converted into built-up land. The total ESV of Su-Xi-Chang metropolitan area increased initially then declined from 2000–2020, and the value of almost all individual ecosystem services decreased. 2) Population density, GDP per area, night lighting intensity, and road network density can negatively impact the ESV. 3) The total ESV loss under the natural development and urban development scenarios was high, and the expansion of the built-up land and the drastic shrinkage of the arable land contributed to the ESV decline under both scenarios. The total ESV under arable land protection and ecological protection scenarios increases, and therefore these scenarios are suitable for future land use optimization in Su-Xi-Chang. This study could provide a certain reference for land use planning and allocation, and offer guidance for the rational allocation of land resources.
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References
Agarwala M, Atkinson G, Fry B P et al., 2014. Assessing the relationship between human well-being and ecosystem services: a review of frameworks. Conservation and Society, 12(4): 437–449. doi: https://doi.org/10.4103/0972-4923.155592
Barkmann J, Glenk K, Keil A et al., 2008. Confronting unfamiliarity with ecosystem functions: the case for an ecosystem service approach to environmental valuation with stated preference methods. Ecological Economics, 65(1): 48–62. doi: https://doi.org/10.1016/j.ecolecon.2007.12.002
Carpenter S R, Mooney H A, Agard J et al., 2009. Science for managing ecosystem services: beyond the millennium ecosystem assessment. Proceedings of the National Academy of Sciences of the United States of America, 106(5): 1305–1312. doi: https://doi.org/10.1073/pnas.0808772106
Chen H, Liu L, Wang L F et al., 2022. Key indicators of high-quality urbanization affecting eco-environmental quality in emerging urban agglomerations: accounting for the importance variation and spatiotemporal heterogeneity. Journal of Cleaner Production, 376: 134087. doi: https://doi.org/10.1016/j.jclepro.2022.134087
Chen M X, Ye C, Lu D D et al., 2019. Cognition and construction of the theoretical connotations of new urbanization with Chinese characteristics. Journal of Geographical Sciences, 29(10): 1681–1698. doi: https://doi.org/10.1007/s11442-019-1685-z
Costanza R, d’Arge R, De Groot R et al., 1997. The value of the world’s ecosystem services and natural capital. nature, 387: 253–260. doi: https://doi.org/10.1038/387253a0
Costanza R, de Groot R, Braat L et al., 2017. Twenty years of ecosystem services: how far have we come and how far do we still need to go? Ecosystem Services, 28: 1–16. doi: https://doi.org/10.1016/j.ecoser.2017.09.008
de Groot R S, Alkemade R, Braat L et al., 2010. Challenges in integrating the concept of ecosystem services and values in landscape planning, management and decision making. Ecological Complexity, 7(3): 260–272. doi: https://doi.org/10.1016/j.ecocom.2009.10.006
Fu B J, Wang S, Su C H et al., 2013. Linking ecosystem processes and ecosystem services. Current Opinion in Environmental Sustainability, 5(1): 4–10. doi: https://doi.org/10.1016/j.cosust.2012.12.002
Fu B J, Zhang L W, Xu Z H et al., 2015. Ecosystem services in changing land use. Journal of Soils and Sediments, 15(4): 833–843. doi: https://doi.org/10.1007/s11368-015-1082-x
Gao L N, Tao F, Liu R R et al., 2022. Multi-scenario simulation and ecological risk analysis of land use based on the PLUS model: a case study of Nanjing. Sustainable Cities and Society, 85: 104055. doi: https://doi.org/10.1016//.scs.2022.104055
Gashaw T, Tulu T, Argaw M et al., 2018. Estimating the impacts of land use/land cover changes on ecosystem service values: the case of the Andassa watershed in the Upper Blue Nile basin of Ethiopia. Ecosystem Services, 31: 219–228. doi: https://doi.org/10.1016//.ecoser.2018.05.001
Gu C L, Guan W H, Liu H L, 2017. Chinese urbanization 2050: SD modeling and process simulation. Science China Earth Sciences, 60(6): 1067–1082. doi: https://doi.org/10.1007/s11430-016-9022-2
Hasan S S, Zhen L, Miah G et al., 2020. Impact of land use change on ecosystem services: a review. Environmental Development, 34: 100527. doi: https://doi.org/10.1016//.envdev.2020.100527
Hu C G, Li H, 2022. Reverse thinking: the logical system research method of urban thermal safety pattern construction, evaluation, and optimization. Remote Sensing, 14(23): 6036. doi: https://doi.org/10.3390/rs14236036
Hu C G, Wang Z Y, Huang G L et al., 2022a. Construction, evaluation, and optimization of a regional ecological security pattern based on MSPA -circuit theory approach. International Journal of Environmental Research and Public Health, 19(23): 16184. doi: https://doi.org/10.3390/i/erph192316184
Hu C G, Wang Z Y, Li J M et al., 2022b. Quantifying the temporal and spatial patterns of ecosystem services and exploring the spatial differentiation of driving factors: a case study of Sichuan Basin, China. Frontiers in Environmental Science, 10: 927818. doi: https://doi.org/10.3389/FENVS.2022.927818
Hu C G, Wang Z Y, Wang Y et al., 2022c. Combining MSPA-MCR model to evaluate the ecological network in Wuhan, China. Land, 11(2): 213. doi: https://doi.org/10.3390/land11020213
Islam M M, Shamsuddoha M, 2018. Coastal and marine conservation strategy for Bangladesh in the context of achieving blue growth and sustainable development goals (SDGs). Environmental Science & Policy, 87: 45–54. doi: https://doi.org/10.1016/j.envsci.2018.05.014
Jin G, Chen K, Liao T et al., 2021. Measuring ecosystem services based on government intentions for future land use in Hubei Province: implications for sustainable landscape management. Landscape Ecology, 36(7): 2025–2042. doi: https://doi.org/10.1007/s10980-020-01116-3
Li C, Wu Y M, Gao B P et al., 2021. Multi-scenario simulation of ecosystem service value for optimization of land use in the Sichuan-Yunnan ecological barrier, China. Ecological Indicators, 132: 108328. doi: https://doi.org/10.1016/j.ecolind.2021.108328
Li P H, Zhang R Q, Xu L P, 2021. Three-dimensional ecological footprint based on ecosystem service value and their drivers: a case study of Urumqi. Ecological Indicators, 131: 108117. doi: https://doi.org/10.1016//.ecolind.2021.108117
Li Y F, Zhang X X, Zhao X X et al., 2016. Assessing spatial vulnerability from rapid urbanization to inform coastal urban regional planning. Ocean & Coastal Management, 123: 53–65. doi: https://doi.org/10.1016/j.ocecoaman.2016.01.010
Liang X, Guan Q F, Clarke K C et al., 2021. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: a case study in Wuhan, China. Computers, Environment and Urban Systems, 85: 101569. doi: https://doi.org/10.1016/j.compenvurbsys.2020.101569
Lin Z Q, Peng S Y, 2022. Comparison of multimodel simulations of land use and land cover change considering integrated constraints–A case study of the Fuxian Lake basin. Ecological Indicators, 142: 109254. doi: https://doi.org/10.1016/j.ecolind.2022.109254
Liu J Y, Zhang Z X, Xu X L et al., 2010. Spatial patterns and driving forces of land use change in China during the early 21st century. Journal of Geographical Sciences, 20(4): 483–494. doi: https://doi.org/10.1007/s11442-010-0483-4
Liu J Y, Kuang W H, Zhang Z X et al., 2014. Spatiotemporal characteristics, patterns and causes of land use changes in China since the late 1980s. Acta Geographica Sinica, 69(1): 3–14. (in Chinese)
Liu J Y, Li J, Qin K Y et al., 2017. Changes in land-uses and ecosystem services under multi-scenarios simulation. Science of the Total Environment, 586: 522–526. doi: https://doi.org/10.1016/j.scitotenv.2017.02.005
Liu X P, Liang X, Li X et al., 2017. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects. Landscape and Urban Planning, 168: 94–116. doi: https://doi.org/10.1016/j.landurbplan.2017.09.019
Liu Y, Li J C, Zhang H, 2012. An ecosystem service valuation of land use change in Taiyuan City, China. Ecological Modelling, 225: 127–132. doi: https://doi.org/10.1016/j.ecolmodel.2011.11.017
Liu Y B, Hou X Y, Li X W et al., 2020. Assessing and predicting changes in ecosystem service values based on land use/cover change in the Bohai Rim coastal zone. Ecological Indicators, 111: 106004. doi: https://doi.org/10.1016/j.ecolind.2019.106004
Long H L, Liu Y Q, Hou X G et al., 2014. Effects of land use transitions due to rapid urbanization on ecosystem services: implications for urban planning in the new developing area of China. Habitat International, 44: 536–544. doi: https://doi.org/10.1016/j.habitatint.2014.10.011
Lou Y Y, Yang D, Zhang P Y et al., 2022. Multi-scenario simulation of land use changes with ecosystem service value in the Yellow River Basin. Land, 11(7): 992. doi: https://doi.org/10.3390/land11070992
Metzger M J, Rounsevell M D A, Acosta-Michlik L et al., 2006. The vulnerability of ecosystem services to land use change. Agriculture, Ecosystems & Environment, 114(1): 69–85. doi: https://doi.org/10.1016/j.agee.2005.11.025
Pan H Z, Zhang L, Cong C et al., 2019. A dynamic and spatially explicit modeling approach to identify the ecosystem service implications of complex urban systems interactions. Ecological Indicators, 102: 426–436. doi: https://doi.org/10.1016/j.ecolind.2019.02.059
Raskin P D, 2005. Global scenarios: background review for the millennium ecosystem assessment. Ecosystems, 8(2): 133–142. doi: https://doi.org/10.1007/s10021-004-0074-2
Sang L L, Zhang C, Yang J Y et al., 2011. Simulation of land use spatial pattern of towns and villages based on CA -Markov model. Mathematical and Computer Modelling, 54(3–4): 938–943. doi: https://doi.org/10.1016/j.mcm.2010.11.019
Song W, Deng X Z, 2017. Land-use/land-cover change and ecosystem service provision in China. Science of the Total Environment, 576: 705–719. doi: https://doi.org/10.1016/j.scitotenv.2016.07.078
Spangenberg J H, Görg C, Truong D T et al., 2014. Provision of ecosystem services is determined by human agency, not ecosystem functions. Four case studies. International Journal of Biodiversity Science, Ecosystem Services & Management, 10(1): 40–53. doi: https://doi.org/10.1080/21513732.2014.884166
Su K, Wei D Z, Lin W X, 2020. Evaluation of ecosystem services value and its implications for policy making in China–A case study of Fujian province. Ecological Indicators, 108: 105752. doi: https://doi.org/10.1016/j.ecolind.2019.105752
Tang F, Fu M C, Wang L et al., 2020. Land-use change in Changli County, China: predicting its spatio-temporal evolution in habitat quality. Ecological Indicators, 117: 106719. doi: https://doi.org/10.1016/j.ecolind.2020.106719
Verburg P H, Soepboer W, Veldkamp A et al., 2002. Modeling the spatial dynamics of regional land use: the CLUE-S model. Environmental Management, 30(3): 391–405. doi: https://doi.org/10.1007/s00267-002-2630-x
Vihervaara P, Rönkä M, Walls M, 2010. Trends in ecosystem service research: early steps and current drivers. Ambio, 39(4): 314–324. doi: https://doi.org/10.1007/s13280-010-0048-x
Wang B, Hu C G, Li J X, 2022. Coupling and coordination relationship between the tourism economy and ecosystem service value in southern Jiangsu, China. International Journal of Environmental Research and Public Health, 19(23): 16136. doi: https://doi.org/10.3390/ijerph192316136
Wang J, Lin Y F, Glendinning A et al., 2018. Land-use changes and land policies evolution in China’s urbanization processes. Land Use Policy, 75: 375–387. doi: https://doi.org/10.1016//.landusepol.2018.04.011
Wang M, Sun X F, 2016. Potential impact of land use change on ecosystem services in China. Environmental Monitoring and Assessment, 188(4): 248. doi: https://doi.org/10.1007/s10661-016-5245-z
Wang X X, Zhou Y, 2022. Study on changes of urban spatial pattern and heterogeneity of driving factors in the Su-Xi-Chang region. Environmental and Ecological Statistics, 29(2): 339–357. doi: https://doi.org/10.1007/s10651-021-00523-2
Wang Y, Li X M, Zhang Q et al., 2018. Projections of future land use changes: multiple scenarios-based impacts analysis on ecosystem services for Wuhan city, China. Ecological Indicators, 94: 430–445. doi: https://doi.org/10.1016/j.ecolind.2018.06.047
Xian George Z, Shi H, Auch R et al., 2021. The effects of urban land cover dynamics on urban heat Island intensity and temporal trends. GIScience & Remote Sensing, 58(4): 501–515. doi: https://doi.org/10.1080/15481603.2021.1903282
Xie G D, Zhen L, Lu C X et al., 2008. Expert knowledge based valuation method of ecosystem services in China. Journal of Natural Resources, 23: 911–919. doi: https://doi.org/10.3724/SP.J.1011.2008.00482
Xie G D, Zhang C X, Zhen L et al., 2017. Dynamic changes in the value of China’s ecosystem services. Ecosystem Services, 26: 146–154. doi: https://doi.org/10.1016/j.ecoser.2017.06.010
Xie L, Wang H W, Liu S H, 2022. The ecosystem service values simulation and driving force analysis based on land use/land cover: a case study in inland rivers in arid areas of the Aksu River Basin, China. Ecological Indicators, 138: 108828. doi: https://doi.org/10.1016/j.ecolind.2022.108828
Yu P, Zhang S N, Wang P et al., 2023. Evaluation and prediction of land use change impacts on ecosystem service values in Nanjing City from 1995 to 2030. Environmental Science and Pollution Research, 30(7): 18040–18063. doi: https://doi.org/10.1007/s11356-022-23346-5
Zhang S H, Zhong Q L, Cheng D L et al., 2022. Landscape ecological risk projection based on the PLUS model under the localized shared socioeconomic pathways in the Fujian Delta region. Ecological Indicators, 136: 108642. doi: https://doi.org/10.1016//.eco-lind.2022.108642
Zhang X Y, Li H W, Xia H et al., 2021. The ecosystem services value change and its driving forces responding to spatio-temporal process of landscape pattern in the co-urbanized area. Land, 10(10): 1043. doi: https://doi.org/10.3390/land10101043
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Thanks to LI Jianxiong for providing language guidance for this article.
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All authors contributed to the study conception and design. The first draft of the manuscript was written by WANG Bin and all authors commented on previous versions of the manuscript. Material preparation, data collection and analysis were performed by HU Chunguang. Proofreading and polishing was done by ZHANG Yushuo. All authors read and approved the final manuscript.
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Foundation item: Under the auspices of Humanities and Social Sciences Foundation of Soochow University (No. 22XM2008), National Social Science Foundation of China (No. 23BGL168)
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Wang, B., Hu, C. & Zhang, Y. Multi-Scenario Simulation of the Impact of Land Use Change on the Ecosystem Service Value in the Suzhou-Wuxi-Changzhou Metropolitan Area, China. Chin. Geogr. Sci. 34, 79–92 (2024). https://doi.org/10.1007/s11769-023-1397-2
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DOI: https://doi.org/10.1007/s11769-023-1397-2