IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v120y2024i1d10.1007_s11069-023-06209-1.html
   My bibliography  Save this article

Exploring EM-DAT for depicting spatiotemporal trends of drought and wildfires and their connections with anthropogenic pressure

Author

Listed:
  • Michael Nones

    (Institute of Geophysics Polish Academy of Sciences)

  • Hossein Hamidifar

    (Shiraz University)

  • Seyed Mohammad Bagher Shahabi-Haghighi

    (Shiraz University)

Abstract

In light of increasing extreme events driven by climate change, the relationship between drought and wildfire events and their impacts on society is of paramount importance, necessitating comprehensive studies to understand long-term trends. This manuscript utilizes the Emergency Events Database (EM-DAT) to gather data on drought and wildfire events, focusing on the number of affected people and human losses. The analysis covers the period from 1983 to 2022 and incorporates eco-hydro-socio-geographical variables such as gross domestic product (GDP), precipitation anomaly, population density, and forested area. The study reveals significant geographical disparities in the impacts of drought and wildfire. Asia stands out as the region most affected by these phenomena, with more than 72% of individuals experiencing their effects. In contrast, Europe and Oceania show negligible impacts, accounting for less than 1% collectively. When it comes to losses specifically caused by drought, Asia has the highest share at around 82%. Conversely, Oceania has the lowest share, with less than 0.1% of total losses attributed to drought. In the case of wildfires, Africa takes the lead with 84% of total losses. On the other hand, Oceania, Europe, Asia, and America collectively contribute only 16% to the total losses, which is considerably lower. Temporal analysis indicates an increasing trend in the number of people affected by both drought and wildfire, particularly after the early 2000s, potentially attributed to the improved reporting in EM-DAT. Correlation tests highlight the inverse relationship between GDP and the studied parameters, while precipitation anomaly exhibits an inverse correlation with wildfire-affected populations. Forested area significantly correlates with wildfire-related damages. These insights can inform policies and actions at various levels, from local to international, to address the challenges posed by climate-related disasters.

Suggested Citation

  • Michael Nones & Hossein Hamidifar & Seyed Mohammad Bagher Shahabi-Haghighi, 2024. "Exploring EM-DAT for depicting spatiotemporal trends of drought and wildfires and their connections with anthropogenic pressure," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(1), pages 957-973, January.
  • Handle: RePEc:spr:nathaz:v:120:y:2024:i:1:d:10.1007_s11069-023-06209-1
    DOI: 10.1007/s11069-023-06209-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-023-06209-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-023-06209-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:nathaz:v:120:y:2024:i:1:d:10.1007_s11069-023-06209-1. 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.springer.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.