Evidence map›Paper›PMID 36216833›Full record

ArticleNature communications2022

Deforestation intensifies daily temperature variability in the northern extratropics.

Jun Ge, Qi Liu, Beilei Zan, Zhiqiang Lin, Sha Lu, Bo Qiu, Weidong Guo

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Jun Ge *School of Atmospheric Sciences, Nanjing University, Nanjing, China. junge@nju.edu.cn.ORCID 0000-0002-8876-1650
Qi Liu *School of Atmospheric Sciences, Nanjing University, Nanjing, China.ORCID 0000-0001-8530-2451
Beilei ZanCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, China.
Zhiqiang LinSchool of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China.
Sha LuSchool of Atmospheric Sciences, Nanjing University, Nanjing, China.
Bo QiuSchool of Atmospheric Sciences, Nanjing University, Nanjing, China.ORCID 0000-0001-9688-3095
Weidong GuoSchool of Atmospheric Sciences, Nanjing University, Nanjing, China. guowd@nju.edu.cn.ORCID 0000-0003-0299-6393

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the biogeophysical effects of deforestation on average and extreme temperatures are broadly documented, how deforestation influences temperature variability remains largely unknown. To fill this knowledge gap, we investigate the biogeophysical effects of idealized deforestation on daily temperature variability at the global scale based on multiple earth system models and in situ observations. Here, we show that deforestation can intensify daily temperature variability (by up to 20%) in the northern extratropics, particularly in winter, leading to more frequent rapid extreme warming and cooling events. The higher temperature variability can be attributed to the enhanced near-surface horizontal temperature advection and simultaneously is partly offset by the lower variability in surface sensible heat flux. We also show responses of daily temperature variability to historical deforestation and future potential afforestation. This study reveals the overlooked effects of deforestation or afforestation on temperature variability and has implications for large-scale afforestation in northern extratropic countries.

Indexed as

Conservation of Natural ResourcesSeasonsTemperature

Identifiers

PMID36216833
PMCPMC9550804

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.