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Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models

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  • Jiang, Weiguo
  • Deng, Yue
  • Tang, Zhenghong
  • Lei, Xuan
  • Chen, Zheng

Abstract

Carbon storage plays an important role in urban ecosystems. However, urban expansion leads to urban ecosystem changes and hence directly threatens carbon storage. Therefore, modelling the potential impacts of urban expansion on carbon storage is necessary. This study links the Conversion of Land Use and its Effects at Small regional extent (CLUE-S) model and the Integrated Valuation of Environmental Services and Tradeoffs (InVEST) model to analyze the potential impacts of urban expansion on carbon storage in Changsha-Zhuzhou-Xiangtan urban agglomeration from 2014 to 2023 under three urban expansion scenarios, namely Natural Increase Scenario (NIS), Cultivated Protection Scenario (CPS), and Ecological Protection Scenario (EPS). The results indicated (1) carbon storage of Changsha-Zhuzhou-Xiangtan urban agglomeration experienced a loss of 8.64Tg from 1995 to 2009; (2) from 2014 to 2023, the carbon storage will experience the most loss of 8.54Tg under the NIS, will experience the least loss of 7.12Tg under the EPS, and will experience moderate loss of 7.92Tg under the CPS; (3) the conversions of green land ecosystem and cultivated ecosystem to built-up ecosystem are the main cause of regional carbon storage loss in Changsha-Zhuzhou-Xiangtan urban agglomeration; (4) the carbon storage loss will primarily occur in the junction region of Changsha-Zhuzhou-Xiangtan urban agglomeration because every city is incline to expand toward other cities in an urban agglomeration system. We argue in favor of integrating multiple ecosystem services into urban land use planning to obtain a sustainable development.

Suggested Citation

  • Jiang, Weiguo & Deng, Yue & Tang, Zhenghong & Lei, Xuan & Chen, Zheng, 2017. "Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models," Ecological Modelling, Elsevier, vol. 345(C), pages 30-40.
  • Handle: RePEc:eee:ecomod:v:345:y:2017:i:c:p:30-40
    DOI: 10.1016/j.ecolmodel.2016.12.002
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    1. Bagdon, Benjamin A. & Huang, Ching-Hsun & Dewhurst, Stephen, 2016. "Managing for ecosystem services in northern Arizona ponderosa pine forests using a novel simulation-to-optimization methodology," Ecological Modelling, Elsevier, vol. 324(C), pages 11-27.
    2. Jian Ni, 2013. "Carbon storage in Chinese terrestrial ecosystems: approaching a more accurate estimate," Climatic Change, Springer, vol. 119(3), pages 905-917, August.
    3. Peter Verburg & Bas Eickhout & Hans Meijl, 2008. "A multi-scale, multi-model approach for analyzing the future dynamics of European land use," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 57-77, March.
    4. Tao, Yu & Li, Feng & Liu, Xusheng & Zhao, Dan & Sun, Xiao & Xu, Lianfang, 2015. "Variation in ecosystem services across an urbanization gradient: A study of terrestrial carbon stocks from Changzhou, China," Ecological Modelling, Elsevier, vol. 318(C), pages 210-216.
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