Evidence map›Paper›PMID 40263394›Full record

ArticleNature ecology & evolution2025

Increasing severity of large-scale fires prolongs recovery time of forests globally since 2001.

Qiancheng Lv, Ziyue Chen, Chaoyang Wu, Josep Peñuelas, Lei Fan, Yongxian Su, Zeyu Yang, Manchun Li, Bingbo Gao, Jianqiang Hu and 3 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature ecology & evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Qiancheng LvState Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Ziyue ChenState Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China. zychen@bnu.edu.cn.ORCID http://orcid.org/0000-0003-4103-3792
Chaoyang WuThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. wucy@igsnrr.ac.cn.ORCID http://orcid.org/0000-0001-6163-8209
Josep PeñuelasCSIC, Global Ecology Unit CREAF-CSIC-UAB, Barcelona, Spain.ORCID http://orcid.org/0000-0002-7215-0150
Lei FanSchool of Geographical Sciences, Southwest University, Chongqing, China.ORCID http://orcid.org/0000-0002-1834-5088
Yongxian SuState Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-2114-628X
Zeyu YangState Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Manchun LiSchool of Geography and Ocean Science, Nanjing University, Nanjing, China.
Bingbo GaoCollege of Land Science and Technology, China Agricultural University, Beijing, China.
Jianqiang HuState Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Chaoqun ZhangState Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Yuheng FuState Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Qiao WangState Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) Grant No.42125101National Natural Science Foundation of China (National Science Foundation of China) Grant No.42171399National Natural Science Foundation of China (National Science Foundation of China) Grant No.42192580
6 · The paper itself

Abstract

Ongoing and sharply increased global forest fires, especially extreme large-scale fires (LFs) with their greater destructiveness, have significantly altered forest structures and functions. However, long-term variations in the severity of LFs and corresponding effects on the natural post-LF recovery time of global forests remain unclear. Here, we rigorously identified 3,281 global large-scale (>10 km

Indexed as

Conservation of Natural ResourcesFiresForestsWildfires

Identifiers

PMID40263394

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.