IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i7p2375-d156895.html
   My bibliography  Save this article

Remote Sensing and GIS Support to Identify Potential Areas for Wetland Restoration from Cropland: A Case Study in the West Songnen Plain, Northeast China

Author

Listed:
  • Ling Luo

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Dehua Mao

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Zongming Wang

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Baojia Du

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Hengqi Yan

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Bai Zhang

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

Abstract

Wetland restoration is important to responding to climate change and ensuring ecological security. In terms of the serious wetland loss and limited wetland restoration in China, there is a need to investigate approaches to identifying potential areas for wetland restoration from cropland, in order to support making spatial decisions at a regional scale. Here, we provide an example of integrating remote sensing (RS) and geographical information systems (GIS) effectively to identify where and how many croplands could be converted into wetlands in the West Songnen Plain (WSNP). The map of potential areas for wetland restoration from croplands generated in this study is expected to help decision makers to implement wetland restoration in the WSNP. Besides the widely highlighted hydrological, topographical, and landscape features, four indicators, namely, flooded area, time under cultivation, human disturbance, and wetland conservation level, were selected to identify the potential areas for wetland restoration—with different priorities—from croplands. Satellite observation revealed that a total of 2753.3 km 2 of wetlands have been cultivated into croplands for grain production from 1990 to 2015 in the WSNP. It is estimated that 8882.1 km 2 of croplands are suitable for conversion to wetlands, of which 3706 km 2 (29.4%) are with high priority, and 44.5% are from dry farmlands. A total of 3284.7 km 2 of paddy fields are identified to be potential areas for wetland restoration, of which 1119.6 km 2 are high priority, and another 2165.1 km 2 are medium priority.

Suggested Citation

  • Ling Luo & Dehua Mao & Zongming Wang & Baojia Du & Hengqi Yan & Bai Zhang, 2018. "Remote Sensing and GIS Support to Identify Potential Areas for Wetland Restoration from Cropland: A Case Study in the West Songnen Plain, Northeast China," Sustainability, MDPI, vol. 10(7), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2375-:d:156895
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/7/2375/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/7/2375/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dalin, Carole & Qiu, Huanguang & Hanasaki, Naota & Mauzerall, Denise L. & Rodriguez-Iturbe, Ignacio, 2015. "Balancing water resources conservation and food security in China," LSE Research Online Documents on Economics 62725, London School of Economics and Political Science, LSE Library.
    2. Laurel Ballanti & Kristin B. Byrd & Isa Woo & Christopher Ellings, 2017. "Remote Sensing for Wetland Mapping and Historical Change Detection at the Nisqually River Delta," Sustainability, MDPI, vol. 9(11), pages 1-32, October.
    3. Sanneke van Asselen & Peter H Verburg & Jan E Vermaat & Jan H Janse, 2013. "Drivers of Wetland Conversion: a Global Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    4. Weidong Man & Hao Yu & Lin Li & Mingyue Liu & Dehua Mao & Chunying Ren & Zongming Wang & Mingming Jia & Zhenghong Miao & Chunyan Lu & Huiying Li, 2017. "Spatial Expansion and Soil Organic Carbon Storage Changes of Croplands in the Sanjiang Plain, China," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    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. Yang, Ran & Li, Xiaoyan & Mao, Dehua & Wang, Zongming & Cheng, Lisha & Dong, Yulin & Sun, Hongchao, 2024. "A methodological framework for prioritizing wetland restoration from cropland: A case study Jianghan Plain, China," Land Use Policy, Elsevier, vol. 137(C).

    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. van Wesenbeeck, C.F.A. & Keyzer, M.A. & van Veen, W.C.M. & Qiu, H., 2021. "Can China's overuse of fertilizer be reduced without threatening food security and farm incomes?," Agricultural Systems, Elsevier, vol. 190(C).
    2. Liu, Yansui & Zhou, Yang, 2021. "Reflections on China's food security and land use policy under rapid urbanization," Land Use Policy, Elsevier, vol. 109(C).
    3. Nouri, Milad & Homaee, Mehdi & Pereira, Luis S. & Bybordi, Mohammad, 2023. "Water management dilemma in the agricultural sector of Iran: A review focusing on water governance," Agricultural Water Management, Elsevier, vol. 288(C).
    4. Yongxing Ren & Xiaoyan Li & Dehua Mao & Zongming Wang & Mingming Jia & Lin Chen, 2020. "Investigating Spatial and Vertical Patterns of Wetland Soil Organic Carbon Concentrations in China’s Western Songnen Plain by Comparing Different Algorithms," Sustainability, MDPI, vol. 12(3), pages 1-13, January.
    5. Dandan Zhao & Hong S. He & Wen J. Wang & Lei Wang & Haibo Du & Kai Liu & Shengwei Zong, 2018. "Predicting Wetland Distribution Changes under Climate Change and Human Activities in a Mid- and High-Latitude Region," Sustainability, MDPI, vol. 10(3), pages 1-14, March.
    6. Tamal Kanti Saha & Swades Pal, 2019. "Emerging conflict between agriculture extension and physical existence of wetland in post-dam period in Atreyee River basin of Indo-Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(3), pages 1485-1505, June.
    7. Carlsen, Ask Holm & Fensholt, Rasmus & Looms, Majken Caroline & Gominski, Dimitri & Stisen, Simon & Jepsen, Martin Rudbeck, 2024. "Systematic review of the detection of subsurface drainage systems in agricultural fields using remote sensing systems," Agricultural Water Management, Elsevier, vol. 299(C).
    8. Davis, Melanie J. & Woo, Isa & De La Cruz, Susan E.W., 2019. "Development and implementation of an empirical habitat change model and decision support tool for estuarine ecosystems," Ecological Modelling, Elsevier, vol. 410(C), pages 1-1.
    9. Lila Juniyanti & Herry Purnomo & Hariadi Kartodihardjo & Lilik Budi Prasetyo, 2021. "Understanding the Driving Forces and Actors of Land Change Due to Forestry and Agricultural Practices in Sumatra and Kalimantan: A Systematic Review," Land, MDPI, vol. 10(5), pages 1-24, April.
    10. João Paulo Delapasse Simioni & Laurindo Antonio Guasselli & Victor Fernandez Nascimento & Luis Fernando Chimelo Ruiz & Tassia Fraga Belloli, 2020. "Integration of multi-sensor analysis and decision tree for evaluation of dual and quad-Pol SAR in L- and C-bands applied for marsh delineation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5603-5620, August.
    11. Liu, Jianliang & Huang, Xinya & Jiang, Haibo & Chen, Huai, 2021. "Sustaining yield and mitigating methane emissions from rice production with plastic film mulching technique," Agricultural Water Management, Elsevier, vol. 245(C).
    12. Cao, Xinchun & Cui, Simeng & Shu, Rui & Wu, Mengyang, 2020. "Misestimation of water saving in agricultural virtual water trade by not considering the role of irrigation," Agricultural Water Management, Elsevier, vol. 241(C).
    13. Huang, Jing & Ridoutt, Bradley G. & Thorp, Kelly R. & Wang, Xuechun & Lan, Kang & Liao, Jun & Tao, Xu & Wu, Caiyan & Huang, Jianliang & Chen, Fu & Scherer, Laura, 2019. "Water-scarcity footprints and water productivities indicate unsustainable wheat production in China," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    14. Beatrice Asenso Barnieh & Li Jia & Massimo Menenti & Jie Zhou & Yelong Zeng, 2020. "Mapping Land Use Land Cover Transitions at Different Spatiotemporal Scales in West Africa," Sustainability, MDPI, vol. 12(20), pages 1-52, October.
    15. Gadisa Fayera Gemechu & Xiaoping Rui & Haiyue Lu, 2021. "Wetland Change Mapping Using Machine Learning Algorithms, and Their Link with Climate Variation and Economic Growth: A Case Study of Guangling County, China," Sustainability, MDPI, vol. 14(1), pages 1-25, December.
    16. Gao, Xiaoyu & Huo, Zailin & Xu, Xu & Qu, Zhongyi & Huang, Guanhua & Tang, Pengcheng & Bai, Yining, 2018. "Shallow groundwater plays an important role in enhancing irrigation water productivity in an arid area: The perspective from a regional agricultural hydrology simulation," Agricultural Water Management, Elsevier, vol. 208(C), pages 43-58.
    17. Cuiping Zhao & Jiaguo Gong & Qinghui Zeng & Miao Yang & Ying Wang, 2021. "Landscape Pattern Evolution Processes and the Driving Forces in the Wetlands of Lake Baiyangdian," Sustainability, MDPI, vol. 13(17), pages 1-15, August.
    18. Zhou, Qing & Zhang, Yali & Wu, Feng, 2021. "Evaluation of the most proper management scale on water use efficiency and water productivity: A case study of the Heihe River Basin, China," Agricultural Water Management, Elsevier, vol. 246(C).
    19. Mary Thornbush, 2017. "Physical Geography and Environmental Sustainability," Sustainability, MDPI, vol. 9(12), pages 1-5, November.
    20. Daniel Canaza & Elmer Calizaya & Walter Chambi & Fredy Calizaya & Carmen Mindani & Osmar Cuentas & Cirilo Caira & Walquer Huacani, 2023. "Spatial Distribution of Soil Organic Carbon in Relation to Land Use, Based on the Weighted Overlay Technique in the High Andean Ecosystem of Puno—Peru," Sustainability, MDPI, vol. 15(13), pages 1-20, June.

    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:jsusta:v:10:y:2018:i:7:p:2375-:d:156895. 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.