IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i23p10182-d457640.html
   My bibliography  Save this article

Mapping the Potential Global Distribution of Red Imported Fire Ant ( Solenopsis invicta Buren) Based on a Machine Learning Method

Author

Listed:
  • Shuai Chen

    (State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    These authors contributed equally to this work.)

  • Fangyu Ding

    (State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    These authors contributed equally to this work.)

  • Mengmeng Hao

    (State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Dong Jiang

    (State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land &Resources, Beijing 100101, China)

Abstract

As one of the most notorious invasive species, the red imported fire ant ( Solenopsis invicta Buren) has many adverse impacts on biodiversity, environment, agriculture, and human health. Mapping the potential global distribution of S. invicta becomes increasingly important for the prevention and control of its invasion. By combining the most comprehensive occurrence records with an advanced machine learning method and a variety of geographical, climatic, and human factors, we have produced the potential global distribution maps of S. invicta at a spatial resolution of 5 × 5 km 2 . The results revealed that the potential distribution areas of S. invicta were primarily concentrated in southeastern North America, large parts of South America, East and Southeast Asia, and Central Africa. The deforested areas in Central Africa and the Indo-China Peninsula were particularly at risk from S. invicta invasion. In addition, this study found that human factors such as nighttime light and urban accessibility made considerable contributions to the boosted regression tree (BRT) model. The results provided valuable insights into the formulation of quarantine policies and prevention measures.

Suggested Citation

  • Shuai Chen & Fangyu Ding & Mengmeng Hao & Dong Jiang, 2020. "Mapping the Potential Global Distribution of Red Imported Fire Ant ( Solenopsis invicta Buren) Based on a Machine Learning Method," Sustainability, MDPI, vol. 12(23), pages 1-13, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:10182-:d:457640
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/23/10182/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/23/10182/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rongfeng Yang & Yi Luo & Kun Yang & Liang Hong & Xiaolu Zhou, 2019. "Analysis of Forest Deforestation and its Driving Factors in Myanmar from 1988 to 2017," Sustainability, MDPI, vol. 11(11), pages 1-15, May.
    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. Zaw Naing Tun & Paul Dargusch & DJ McMoran & Clive McAlpine & Genia Hill, 2021. "Patterns and Drivers of Deforestation and Forest Degradation in Myanmar," Sustainability, MDPI, vol. 13(14), pages 1-27, July.
    2. Francis Rathinam & Sayak Khatua & Zeba Siddiqui & Manya Malik & Pallavi Duggal & Samantha Watson & Xavier Vollenweider, 2021. "Using big data for evaluating development outcomes: A systematic map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    3. Shrestha, Manish & Piman, Thanapon & Grünbühel, Clemens, 2021. "Prioritizing key biodiversity areas for conservation based on threats and ecosystem services using participatory and GIS-based modeling in Chindwin River Basin, Myanmar," Ecosystem Services, Elsevier, vol. 48(C).
    4. Taher M. Radwan, 2019. "Monitoring Agricultural Expansion in a Newly Reclaimed Area in the Western Nile Delta of Egypt Using Landsat Imageries," Agriculture, MDPI, vol. 9(7), pages 1-14, July.

    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:12:y:2020:i:23:p:10182-:d:457640. 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.