Spatiotemporal pattern of ENSO-induced modulation on landscape fires over Pacific Rim from 2001 to 2020  

作　　者：Fang-Zhou LI Ning-Ran LI Martin J.WOOSTER Wen-Shi LIN Tao XUE Tong ZHU 

机构地区：[1]State Key Joint Laboratory of Environment Simulation and Pollution Control,College of Environmental Sciences and Engineering,Peking University,Beijing 100871,China [2]State Environmental Protection Key Laboratory of Atmospheric Exposure,and Health Risk Management and Center for Environment and Health,Peking University,Beijing 100871,China [3]School of Science,Swinburne University of Technology,Melbourne VIC 3122,Australia [4]Leverhulme Centre for Wildfires,Environment&Society,Department of Geography,King's College London,London WC2R 2LS,UK [5]NERC National Centre for Earth Observation,Department of Geography,King's College London,London WC2R 2LS,UK [6]School of Atmospheric Sciences,Sun Yat-sen University,Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Zhuhai 519000,China [7]Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies,Sun Yat-sen University,Zhuhai 519000,China [8]Institute of Reproductive and Child Health,National Health Commission Key Laboratory of Reproductive Health/Department of Epidemiology and Biostatistics,Ministry of Education Key Laboratory of Epidemiology of Major Diseases(PKU),School of Public Health,Peking University Health Science Centre,Beijing 100191,China [9]Research Station of Alpine Ecology Environment and Health,Tibet University,Lhasa 850000,China

出　　处：《Advances in Climate Change Research》2024年第6期1057-1066,共10页气候变化研究进展(英文版)

基　　金：the National Natural Science Foundation of China(42293324,42422507,42175182,and 42375179)。

摘　　要：While El Niño-Southern Oscillation(ENSO)modulates landscape fire activities across the Pacific Rim,the detailed patterns and mode-specific variations of these effects remain poorly understood.This study aims to address that gap by systematically assessing the spatiotemporal variations in burned areas from 2001 to 2020 during different modes of ENSO,namely,Eastern Pacific(EP)El Niño,EP La Niña,Central Pacific(CP)El Niño and CP La Niña.We evaluate the modulation patterns using classical correlation and cross-spectrum analyses,focusing on five hotspot regions:Temperate North America(TENA),Southern Hemisphere South America(SHSA),Northern Hemisphere South America(NHSA),Equatorial Asia(EQAS)and Australia and New Zealand(AUST).El Niño and La Niña exhibit asymmetrical opposite effects on burned areas,as expected.The findings reveal spatial non-uniformity in the impact of ENSO on landscape fires,with La Niña enhancing burned areas in TENA and SHSA,whereas El Niño predominantly affects AUST,EQAS and NHSA.CP and EP ENSO events differ in intensity and their large-scale circulation patterns.These differences cause notable variations in the regional burned area.Water vapour redistribution emerges as the key driver.The study emphasises the heterogeneity in ENSO modes in regulating landscape fires,providing insights for future landscape fire risk assessment and prevention efforts under climate change.

关 键 词：ENSO mode Landscape fire Burned area Pacific Rim 

分 类 号：P467[天文地球—大气科学及气象学]