Evidence map›Paper›PMID 38855727›Full record

ArticleNational science review2024

Anthropogenic warming is a key climate indicator of rising urban fire activity in China.

Qichao Yao, Dabang Jiang, Ben Zheng, Xiaochun Wang, Xiaolin Zhu, Keyan Fang, Lamei Shi, Zhou Wang, Yongli Wang, Linhao Zhong and 6 more

Abstract read
In one paragraph

Article in National science review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Qichao YaoNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijng 100085, China.
Dabang JiangInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.ORCID https://orcid.org/0000-0003-0756-0169
Ben ZhengDepartment of Statistics, Colorado State University, Fort Collins 80523, USA.
Xiaochun WangKey Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, School of Forestry, Northeast Forestry University, Harbin 150040, China.
Xiaolin ZhuDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Keyan FangKey Laboratory of Humid Subtropical Eco-Geographical Process (MOE), College of Geographic Sciences, Fujian Normal University, Fuzhou 350007, China.
Lamei ShiNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijng 100085, China.
Zhou WangNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijng 100085, China.
Yongli WangNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijng 100085, China.
Linhao ZhongNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijng 100085, China.
Yanyan PeiNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijng 100085, China.
Amy HudsonLaboratory of Tree-Ring Research, University of Arizona, Tucson 85721, USA.ORCID https://orcid.org/0000-0001-5814-7492
Shuai XuDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Maowei BaiNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijng 100085, China.
Xinyan HuangDepartment of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Valerie TrouetLaboratory of Tree-Ring Research, University of Arizona, Tucson 85721, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China, one of the most populous countries in the world, has suffered the highest number of natural disaster-related deaths from fire. On local scales, the main causes of urban fires are anthropogenic in nature. Yet, on regional to national scales, little is known about the indicators of large-scale co-varying urban fire activity in China. Here, we present the China Fire History Atlas (CFHA), which is based on 19 947 documentary records and represents fires in urban areas of China over the twentieth century (1901-1994). We found that temperature variability is a key indicator of urban fire activity in China, with warmer temperatures being correlated with more urban fires, and that this fire-temperature relationship is seasonally and regionally explicit. In the early twentieth century, however, the fire-temperature relationship was overruled by war-related fires in large urban areas. We further used the fire-temperature relationship and multiple emissions scenarios to project fire activity across China into the twenty-first century. Our projections show a distinct increase in future urban fire activity and fire-related economic loss. Our findings provide insights into fire-climate relationships in China for densely-populated areas and on policy-relevant time scales and they contribute spatial coverage to efforts to improve global fire models.

Indexed as

fire–climate interactionsfire history networkfire managementglobal warmingurban fires

Identifiers

PMID38855727
PMCPMC11162151

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.