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Climate teleconnections modulate global burned area

Author

Listed:
  • Adrián Cardil

    (Joint Research Unit CTFC—AGROTECNIO—CERCA
    Technosylva Inc
    University of Lleida)

  • Marcos Rodrigues

    (University of Zaragoza
    GEOFOREST Research Group, University Institute for Research in Environmental Sciences of Aragon (IUCA))

  • Mario Tapia

    (Technosylva Inc)

  • Renaud Barbero

    (Aix-Marseille University)

  • Joaquin Ramírez

    (Technosylva Inc)

  • Cathelijne R. Stoof

    (Wageningen University)

  • Carlos Alberto Silva

    (University of Florida)

  • Midhun Mohan

    (University of California-Berkeley)

  • Sergio de-Miguel

    (Joint Research Unit CTFC—AGROTECNIO—CERCA
    University of Lleida)

Abstract

Climate teleconnections (CT) remotely influence weather conditions in many regions on Earth, entailing changes in primary drivers of fire activity such as vegetation biomass accumulation and moisture. We reveal significant relationships between the main global CTs and burned area that vary across and within continents and biomes according to both synchronous and lagged signals, and marked regional patterns. Overall, CTs modulate 52.9% of global burned area, the Tropical North Atlantic mode being the most relevant CT. Here, we summarized the CT-fire relationships into a set of six global CT domains that are discussed by continent, considering the underlying mechanisms relating weather patterns and vegetation types with burned area across the different world’s biomes. Our findings highlight the regional CT-fire relationships worldwide, aiming to further support fire management and policy-making.

Suggested Citation

  • Adrián Cardil & Marcos Rodrigues & Mario Tapia & Renaud Barbero & Joaquin Ramírez & Cathelijne R. Stoof & Carlos Alberto Silva & Midhun Mohan & Sergio de-Miguel, 2023. "Climate teleconnections modulate global burned area," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36052-8
    DOI: 10.1038/s41467-023-36052-8
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    References listed on IDEAS

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    3. Charrad, Malika & Ghazzali, Nadia & Boiteau, Véronique & Niknafs, Azam, 2014. "NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i06).
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    Cited by:

    1. Louis Giglio & David P. Roy, 2024. "Satellite artifacts modulate FireCCILT11 global burned area," Nature Communications, Nature, vol. 15(1), pages 1-2, December.

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