IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-63144-4.html
   My bibliography  Save this article

Global decarbonization corresponding with unseasonal land cover change

Author

Listed:
  • Kehan HE

    (The University of Hong Kong
    International Research Center of Big Data for Sustainable Development Goals)

  • Lixing WANG

    (Tsinghua University)

  • Zhu LIU

    (International Research Center of Big Data for Sustainable Development Goals
    Tsinghua University)

Abstract

Understanding the link between unseasonal land cover changes and CO2 emissions can indicate the decarbonization progress of a region, but limited modeling tools exist for analysis in near-real-time. Here, we developed a modeling framework to reveal a strong and robust relationship between the two quantities. By applying the Butterworth filter, unseasonal changes in land cover and fuel-consuming sectors are extracted for Autoregressive Distributed Lag regression analysis in major economies. Among all investigated economies, Russia has demonstrated the strongest co-relationship (R-squared value of 0.730) between unseasonal CO2 emissions and land cover changes, indicative of its heavy reliance on fossil fuels. Both Brazil (1200 km2/MtCO2e on average) and Russia (10,700 km2/MtCO2e) exhibit greatest sensitivity in land cover changes to CO2 emission changes. This research provides an effective tool to assess the coupling between unseasonal land cover change and CO2 emitting economic activities, presenting an alternative indicator to monitor decarbonization in real-time.

Suggested Citation

  • Kehan HE & Lixing WANG & Zhu LIU, 2025. "Global decarbonization corresponding with unseasonal land cover change," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63144-4
    DOI: 10.1038/s41467-025-63144-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-63144-4
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-025-63144-4?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63144-4. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.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.