The Interannual Variability of Global Burned Area Is Mostly Explained by Climatic Drivers

Author:

Gincheva Andrina1ORCID,Pausas Juli G.2ORCID,Torres‐Vázquez Miguel Ángel1ORCID,Bedia Joaquín3ORCID,Vicente‐Serrano Sergio M.4ORCID,Abatzoglou John T.5ORCID,Sánchez‐Espigares Josep A.6ORCID,Chuvieco Emilio7ORCID,Jerez Sonia1ORCID,Provenzale Antonello8ORCID,Trigo Ricardo M.9ORCID,Turco Marco1ORCID

Affiliation:

1. Department of Physics Regional Atmospheric Modelling Group Regional Campus of International Excellence Campus Mare Nostrum University of Murcia Murcia Spain

2. Centro de Investigaciones sobre Desertificación (CIDE, CSIC‐UV‐GVA), Spanish National Research Council Valencia Spain

3. Departamento de Matemática Aplicada y Ciencias de la Computación, Grupo de Meteorología y Computación, Universidad de Cantabria, Unidad Asociada al CSIC Santander Spain

4. Instituto Pirenaico de Ecología (IPE‐CSIC) Consejo Superior de Investigaciones Científicas Zaragoza Spain

5. Management of Complex Systems University of California Merced CA USA

6. Department of Statistics and Operations Research Polytechnic University of Catalonia Barcelona Spain

7. Department of Geology, Geography and the Environment Universidad de Alcalá Environmental Remote Sensing Research Group Alcalá de Henares Spain

8. Institute of Geosciences and Earth Resources National Research Council Pisa Italy

9. Faculdade de Ciências Instituto Dom Luiz (IDL) Universidade de Lisboa Lisboa Portugal

Abstract

AbstractBetter understanding how fires respond to climate variability is an issue of current interest in light of ongoing climate change. However, evaluating the global‐scale temporal variability of fires in response to climate presents a challenge due to the intricate processes at play and the limitation of fire data. Here, we investigate the links between year‐to‐year variability of burned area (BA) and climate using BA data, the Fire Weather Index (FWI), and the Standardized Precipitation Evapotranspiration Index (SPEI) from 2001 to 2021 at ecoregion scales. Our results reveal complex spatial patterns in the dependence of BA variability on antecedent and concurrent weather conditions, highlighting where BA is mostly influenced by either FWI or SPEI and where the combined effect of both indicators must be considered. Our findings indicate that same‐season weather conditions have a more pronounced relationship with BA across various ecoregions, particularly in climatologically wetter areas. Additionally, we note that BA is also significantly associated with periods of antecedent wetness and coolness, with this association being especially evident in more arid ecoregions. About 60% of the interannual variations in BA can be explained by climatic variability in a large fraction (∼77%) of the world's burnable regions.

Funder

Ministerio de Ciencia e Innovación

Publisher

American Geophysical Union (AGU)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3