IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v318y2015icp204-209.html
   My bibliography  Save this article

Driving force of the morphological change of the urban lake ecosystem: A case study of Wuhan, 1990–2013

Author

Listed:
  • Chen, Kunlun
  • Wang, Xu
  • Li, Dan
  • Li, Zhaohua

Abstract

The conflict between rapid urban growth and the maintenance of water landscape is gaining momentum in China. The shapes of the urban lakes have been deeply affected by the rapid urbanization in recent decades. This study analyzed the temporal-spatial change of East Lake as the largest urban lake in China using remote sensing images during 1990–2013. Then the STIRPAT model is employed to assess the impact of human activities as driving force on lake changes. The results indicated that the surface area of East Lake showed a slight decrease trend in the first decade and a sharply reduce trend from 2000 to 2013. The accelerated decline trend of landscape shape indexes showed that the shapes complexity of East Lake's water body was decreasing and human intervention was intensifying in the study area. The increasing population and urbanization are found to be the principal driving forces of recession of East Lake ecosystem. And we conclude the driving mechanism of morphological change of urban lake to better understand the reasons of the urban lake change. The conservation of urban lake should be emphasized due to its fragility during rapid urban expansion.

Suggested Citation

  • Chen, Kunlun & Wang, Xu & Li, Dan & Li, Zhaohua, 2015. "Driving force of the morphological change of the urban lake ecosystem: A case study of Wuhan, 1990–2013," Ecological Modelling, Elsevier, vol. 318(C), pages 204-209.
  • Handle: RePEc:eee:ecomod:v:318:y:2015:i:c:p:204-209
    DOI: 10.1016/j.ecolmodel.2015.06.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015002665
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.06.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jia, Junsong & Deng, Hongbing & Duan, Jing & Zhao, Jingzhu, 2009. "Analysis of the major drivers of the ecological footprint using the STIRPAT model and the PLS method--A case study in Henan Province, China," Ecological Economics, Elsevier, vol. 68(11), pages 2818-2824, September.
    2. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    3. Yue, Ting & Long, Ruyin & Chen, Hong & Zhao, Xin, 2013. "The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach," Applied Energy, Elsevier, vol. 112(C), pages 1510-1517.
    4. Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
    5. Liu, Jinxun & Liu, Shuguang & Loveland, Thomas R. & Tieszen, Larry L., 2008. "Integrating remotely sensed land cover observations and a biogeochemical model for estimating forest ecosystem carbon dynamics," Ecological Modelling, Elsevier, vol. 219(3), pages 361-372.
    6. Richard York & Eugene A. Rosa & Thomas Dietz, 2002. "Bridging Environmental Science with Environmental Policy: Plasticity of Population, Affluence, and Technology," Social Science Quarterly, Southwestern Social Science Association, vol. 83(1), pages 18-34, March.
    7. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Scenario Analysis and Path Selection of Low-Carbon Transformation in China Based on a Modified IPAT Model," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-9, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiaxing Cui & Xuesong Kong & Jing Chen & Jianwei Sun & Yuanyuan Zhu, 2021. "Spatially Explicit Evaluation and Driving Factor Identification of Land Use Conflict in Yangtze River Economic Belt," Land, MDPI, vol. 10(1), pages 1-24, January.
    2. Vélez-Henao, Johan-Andrés & Font Vivanco, David & Hernández-Riveros, Jesús-Antonio, 2019. "Technological change and the rebound effect in the STIRPAT model: A critical view," Energy Policy, Elsevier, vol. 129(C), pages 1372-1381.
    3. Beata Ferencz & Jarosław Dawidek, 2021. "Assessment of Spatial and Vertical Variability of Water Quality: Case Study of a Polymictic Polish Lake," IJERPH, MDPI, vol. 18(16), pages 1-13, August.
    4. Chang, Ni-Bin & Lu, Jia-Wei & Chui, Ting Fong May & Hartshorn, Nicholas, 2018. "Global policy analysis of low impact development for stormwater management in urban regions," Land Use Policy, Elsevier, vol. 70(C), pages 368-383.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Long, X. & Ji, Xi & Ulgiati, S., 2017. "Is urbanization eco-friendly? An energy and land use cross-country analysis," Energy Policy, Elsevier, vol. 100(C), pages 387-396.
    2. Shafiei, Sahar & Salim, Ruhul A., 2014. "Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: A comparative analysis," Energy Policy, Elsevier, vol. 66(C), pages 547-556.
    3. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Scenario Analysis and Path Selection of Low-Carbon Transformation in China Based on a Modified IPAT Model," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-9, October.
    4. Wang, Mingwei & Che, Yue & Yang, Kai & Wang, Min & Xiong, Lijun & Huang, Yuchi, 2011. "A local-scale low-carbon plan based on the STIRPAT model and the scenario method: The case of Minhang District, Shanghai, China," Energy Policy, Elsevier, vol. 39(11), pages 6981-6990.
    5. Vélez-Henao, Johan-Andrés & Font Vivanco, David & Hernández-Riveros, Jesús-Antonio, 2019. "Technological change and the rebound effect in the STIRPAT model: A critical view," Energy Policy, Elsevier, vol. 129(C), pages 1372-1381.
    6. Bo Li & Xuejing Liu & Zhenhong Li, 2015. "Using the STIRPAT model to explore the factors driving regional CO 2 emissions: a case of Tianjin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(3), pages 1667-1685, April.
    7. Chang, Chun-Ping & Dong, Minyi & Sui, Bo & Chu, Yin, 2019. "Driving forces of global carbon emissions: From time- and spatial-dynamic perspectives," Economic Modelling, Elsevier, vol. 77(C), pages 70-80.
    8. Claudia García-García & Catalina B. García-García & Román Salmerón, 2021. "Confronting collinearity in environmental regression models: evidence from world data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(3), pages 895-926, September.
    9. Ahmed, Khalid, 2015. "The sheer scale of China’s urban renewal and CO2 emissions: Multiple structural breaks, long-run relationship and short-run dynamics," MPRA Paper 71035, University Library of Munich, Germany.
    10. Nan, Shijing & Huo, Yuchen & You, Wanhai & Guo, Yawei, 2022. "Globalization spatial spillover effects and carbon emissions: What is the role of economic complexity?," Energy Economics, Elsevier, vol. 112(C).
    11. Jia, Junsong & Deng, Hongbing & Duan, Jing & Zhao, Jingzhu, 2009. "Analysis of the major drivers of the ecological footprint using the STIRPAT model and the PLS method--A case study in Henan Province, China," Ecological Economics, Elsevier, vol. 68(11), pages 2818-2824, September.
    12. Yu Li & Ji Zheng & Fei Li & Xueting Jin & Chen Xu, 2017. "Assessment of municipal infrastructure development and its critical influencing factors in urban China: A FA and STIRPAT approach," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-14, August.
    13. Shao, Shuai & Yang, Lili & Yu, Mingbo & Yu, Mingliang, 2011. "Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009," Energy Policy, Elsevier, vol. 39(10), pages 6476-6494, October.
    14. Wang, Yuan & Zhang, Xiang & Kubota, Jumpei & Zhu, Xiaodong & Lu, Genfa, 2015. "A semi-parametric panel data analysis on the urbanization-carbon emissions nexus for OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 704-709.
    15. Huijie Yan & Mateo Cordier & Takuro Uehara, 2024. "Future Projections of Global Plastic Pollution: Scenario Analyses and Policy Implications," Sustainability, MDPI, vol. 16(2), pages 1-18, January.
    16. Wu, Dong & Geng, Yong & Pan, Hengyu, 2021. "Whether natural gas consumption bring double dividends of economic growth and carbon dioxide emissions reduction in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    17. Asane-Otoo, Emmanuel, 2015. "Carbon footprint and emission determinants in Africa," Energy, Elsevier, vol. 82(C), pages 426-435.
    18. Yuxue Zhang & Rui Wang & Xingyuan Yang & He Zhang, 2023. "Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies," Land, MDPI, vol. 12(6), pages 1-21, May.
    19. Yu Liu & Hongwei Xiao & Ning Zhang, 2016. "Industrial Carbon Emissions of China’s Regions: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 8(3), pages 1-14, February.
    20. Derya Topdag & Tuğçe Acar & İsmail Erkan Celik, 2020. "Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 70(2), pages 339-358, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:318:y:2015:i:c:p:204-209. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.