IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i5p2389-d508376.html
   My bibliography  Save this article

Multi-Scenario Analysis of Habitat Quality in the Yellow River Delta by Coupling FLUS with InVEST Model

Author

Listed:
  • Qinglong Ding

    (Land Academy for National Development, Zhejiang University, Hangzhou 310029, China)

  • Yang Chen

    (Land Academy for National Development, Zhejiang University, Hangzhou 310029, China)

  • Lingtong Bu

    (School of Business, Nanjing University, Nanjing 210093, China)

  • Yanmei Ye

    (Land Academy for National Development, Zhejiang University, Hangzhou 310029, China)

Abstract

The past decades were witnessing unprecedented habitat degradation across the globe. It thus is of great significance to investigate the impacts of land use change on habitat quality in the context of rapid urbanization, particularly in developing countries. However, rare studies were conducted to predict the spatiotemporal distribution of habitat quality under multiple future land use scenarios. In this paper, we established a framework by coupling the future land use simulation (FLUS) model with the Intergrated Valuation of Environmental Services and Tradeoffs (InVEST) model. We then analyzed the habitat quality change in Dongying City in 2030 under four scenarios: business as usual (BAU), fast cultivated land expansion scenario (FCLE), ecological security scenario (ES) and sustainable development scenario (SD). We found that the land use change in Dongying City, driven by urbanization and agricultural reclamation, was mainly characterized by the transfer of cultivated land, construction land and unused land; the area of unused land was significantly reduced. While the habitat quality in Dongying City showed a degradative trend from 2009 to 2017, it will be improved from 2017 to 2030 under four scenarios. The high-quality habitat will be mainly distributed in the Yellow River Estuary and coastal areas, and the areas with low-quality habitat will be concentrated in the central and southern regions. Multi-scenario analysis shows that the SD will have the highest habitat quality, while the BAU scenario will have the lowest. It is interesting that the ES scenario fails to have the highest capacity to protect habitat quality, which may be related to the excessive saline alkali land. Appropriate reclamation of the unused land is conducive to cultivated land protection and food security, but also improving the habitat quality and giving play to the versatility and multidimensional value of the agricultural landscape. This shows that the SD of comprehensive coordination of urban development, agricultural development and ecological protection is an effective way to maintain the habitat quality and biodiversity.

Suggested Citation

  • Qinglong Ding & Yang Chen & Lingtong Bu & Yanmei Ye, 2021. "Multi-Scenario Analysis of Habitat Quality in the Yellow River Delta by Coupling FLUS with InVEST Model," IJERPH, MDPI, vol. 18(5), pages 1-19, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2389-:d:508376
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/5/2389/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/5/2389/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Roshan Sharma & Udo Nehren & Syed Ajijur Rahman & Maximilian Meyer & Bhagawat Rimal & Gilang Aria Seta & Himlal Baral, 2018. "Modeling Land Use and Land Cover Changes and Their Effects on Biodiversity in Central Kalimantan, Indonesia," Land, MDPI, vol. 7(2), pages 1-14, May.
    2. Huina Wang & Lina Tang & Quanyi Qiu & Huaxiang Chen, 2020. "Assessing the Impacts of Urban Expansion on Habitat Quality by Combining the Concepts of Land Use, Landscape, and Habitat in Two Urban Agglomerations in China," Sustainability, MDPI, vol. 12(11), pages 1-17, May.
    3. Stephen Polasky & Erik Nelson & Derric Pennington & Kris Johnson, 2011. "The Impact of Land-Use Change on Ecosystem Services, Biodiversity and Returns to Landowners: A Case Study in the State of Minnesota," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(2), pages 219-242, February.
    4. Swinton, Scott M. & Lupi, Frank & Robertson, G. Philip & Hamilton, Stephen K., 2007. "Ecosystem services and agriculture: Cultivating agricultural ecosystems for diverse benefits," Ecological Economics, Elsevier, vol. 64(2), pages 245-252, December.
    5. Guillem, E.E. & Murray-Rust, D. & Robinson, D.T. & Barnes, A. & Rounsevell, M.D.A., 2015. "Modelling farmer decision-making to anticipate tradeoffs between provisioning ecosystem services and biodiversity," Agricultural Systems, Elsevier, vol. 137(C), pages 12-23.
    Full references (including those not matched with items on IDEAS)

    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. Hanwen Zhang & Yanqing Lang, 2022. "Quantifying and Analyzing the Responses of Habitat Quality to Land Use Change in Guangdong Province, China over the Past 40 Years," Land, MDPI, vol. 11(6), pages 1-23, May.
    2. Adam Pawlewicz & Wojciech Gotkiewicz & Katarzyna Brodzińska & Katarzyna Pawlewicz & Bartosz Mickiewicz & Paweł Kluczek, 2022. "Organic Farming as an Alternative Maintenance Strategy in the Opinion of Farmers from Natura 2000 Areas," IJERPH, MDPI, vol. 19(7), pages 1-22, March.
    3. Yongxin Liu & Yiting Wang & Yiwen Lin & Xiaoqing Ma & Shifa Guo & Qianru Ouyang & Caige Sun, 2023. "Habitat Quality Assessment and Driving Factors Analysis of Guangdong Province, China," Sustainability, MDPI, vol. 15(15), pages 1-23, July.
    4. Mengyao Li & Yong Zhou & Pengnan Xiao & Yang Tian & He Huang & Liang Xiao, 2021. "Evolution of Habitat Quality and Its Topographic Gradient Effect in Northwest Hubei Province from 2000 to 2020 Based on the InVEST Model," Land, MDPI, vol. 10(8), pages 1-25, August.
    5. Tao Li & Rui Bao & Ling Li & Mingfang Tang & Hongbing Deng, 2023. "Temporal and Spatial Changes of Habitat Quality and Their Potential Driving Factors in Southwest China," Land, MDPI, vol. 12(2), pages 1-18, January.
    6. Valencia Torres, Angélica & Tiwari, Chetan & Atkinson, Samuel F., 2021. "Progress in ecosystem services research: A guide for scholars and practitioners," Ecosystem Services, Elsevier, vol. 49(C).
    7. Liu, Qi & Niu, Jun & Wood, Jeffrey D. & Kang, Shaozhong, 2022. "Spatial optimization of cropping pattern in the upper-middle reaches of the Heihe River basin, Northwest China," Agricultural Water Management, Elsevier, vol. 264(C).
    8. Khaleel Muhammed & Aavudai Anandhi & Gang Chen, 2022. "Comparing Methods for Estimating Habitat Suitability," Land, MDPI, vol. 11(10), pages 1-19, October.
    9. Sabrina Lai & Federica Leone & Corrado Zoppi, 2018. "Implementing Green Infrastructures beyond Protected Areas," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    10. Yajuan Chen & Qian Zhang & Wenping Liu & Zhenrong Yu, 2017. "Analyzing Farmers’ Perceptions of Ecosystem Services and PES Schemes within Agricultural Landscapes in Mengyin County, China: Transforming Trade-Offs into Synergies," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    11. Haizhen Chen & Yi Chen & Xiaosong Chen & Xingzhong Zhang & Haowei Wu & Zhihui Li, 2022. "Impacts of Historical Land Use Changes on Ecosystem Services in Guangdong Province, China," Land, MDPI, vol. 11(6), pages 1-18, May.
    12. Xiaojuan Lin & Min Xu & Chunxiang Cao & Ramesh P. Singh & Wei Chen & Hongrun Ju, 2018. "Land-Use/Land-Cover Changes and Their Influence on the Ecosystem in Chengdu City, China during the Period of 1992–2018," Sustainability, MDPI, vol. 10(10), pages 1-20, October.
    13. Turner, Katrine Grace & Anderson, Sharolyn & Gonzales-Chang, Mauricio & Costanza, Robert & Courville, Sasha & Dalgaard, Tommy & Dominati, Estelle & Kubiszewski, Ida & Ogilvy, Sue & Porfirio, Luciana &, 2016. "A review of methods, data, and models to assess changes in the value of ecosystem services from land degradation and restoration," Ecological Modelling, Elsevier, vol. 319(C), pages 190-207.
    14. Léa Tardieu, 2017. "The need for integrated spatial assessments in ecosystem service mapping," Review of Agricultural, Food and Environmental Studies, Springer, vol. 98(3), pages 173-200, December.
    15. Pengnan Xiao & Yong Zhou & Mengyao Li & Jie Xu, 2023. "Spatiotemporal patterns of habitat quality and its topographic gradient effects of Hubei Province based on the InVEST model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6419-6448, July.
    16. Xiang Li & Zhaoshun Liu & Shujie Li & Yingxue Li, 2022. "Multi-Scenario Simulation Analysis of Land Use Impacts on Habitat Quality in Tianjin Based on the PLUS Model Coupled with the InVEST Model," Sustainability, MDPI, vol. 14(11), pages 1-18, June.
    17. Vermunt, D.A. & Wojtynia, N. & Hekkert, M.P. & Van Dijk, J. & Verburg, R. & Verweij, P.A. & Wassen, M. & Runhaar, H., 2022. "Five mechanisms blocking the transition towards ‘nature-inclusive’ agriculture: A systemic analysis of Dutch dairy farming," Agricultural Systems, Elsevier, vol. 195(C).
    18. Valbuena, Diego & Tui, Sabine Homann-Kee & Erenstein, Olaf & Teufel, Nils & Duncan, Alan & Abdoulaye, Tahirou & Swain, Braja & Mekonnen, Kindu & Germaine, Ibro & Gérard, Bruno, 2015. "Identifying determinants, pressures and trade-offs of crop residue use in mixed smallholder farms in Sub-Saharan Africa and South Asia," Agricultural Systems, Elsevier, vol. 134(C), pages 107-118.
    19. Smith, Helen F. & Sullivan, Caroline A., 2014. "Ecosystem services within agricultural landscapes—Farmers' perceptions," Ecological Economics, Elsevier, vol. 98(C), pages 72-80.
    20. Shah, Syed Mahboob & Liu, Gengyuan & Yang, Qing & Casazza, Marco & Agostinho, Feni & Giannetti, Biagio F., 2021. "Sustainability assessment of agriculture production systems in Pakistan: A provincial-scale energy-based evaluation," Ecological Modelling, Elsevier, vol. 455(C).

    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:gam:jijerp:v:18:y:2021:i:5:p:2389-:d:508376. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.