Evidence map›Paper›PMID 42838955›Full record

ArticleNature communications2026

Phenological fluctuations induce seasonal asymmetric warming in boreal forests.

Kai Yan, Panpan Liu, Cheng Huang, Jing M Chen, Yongxian Su, Si Gao, Xiuzhi Chen, Xuanlong Ma, Lei Fan, Guangjian Yan and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

14 authors.

Kai Yan *State Key Laboratory of Remote Sensing and Digital Earth, Advanced Interdisciplinary Institute of Satellite Applications, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0003-4262-1772
Panpan Liu *State Key Laboratory of Remote Sensing and Digital Earth, Advanced Interdisciplinary Institute of Satellite Applications, Faculty of Geographical Science, Beijing Normal University, Beijing, China. liupanpan@mail.bnu.edu.cn.ORCID http://orcid.org/0009-0007-0176-5098
Cheng HuangState Key Laboratory of Remote Sensing and Digital Earth, Advanced Interdisciplinary Institute of Satellite Applications, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Jing M ChenKey Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou, China.
Yongxian SuState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-2114-628X
Si GaoState Key Laboratory of Remote Sensing and Digital Earth, Advanced Interdisciplinary Institute of Satellite Applications, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Xiuzhi ChenGuangdong Province Data Center of Terrestrial and Ecosystems Carbon Cycle, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, China.ORCID http://orcid.org/0009-0003-5688-2997
Xuanlong MaMoE Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People's Republic of China.
Lei FanChongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, China.ORCID http://orcid.org/0000-0002-1834-5088
Guangjian YanState Key Laboratory of Remote Sensing and Digital Earth, Advanced Interdisciplinary Institute of Satellite Applications, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0001-5030-748X
Wenjie FanInstitution of Remote Sensing and Geographical Information System, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-3727-4748
Liangyun LiuState Key Laboratory of Remote Sensing and Digital Earth, Advanced Interdisciplinary Institute of Satellite Applications, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0002-7987-037X
Guoqiang WangState Key Laboratory of Remote Sensing and Digital Earth, Advanced Interdisciplinary Institute of Satellite Applications, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0002-4479-7889
Qiao WangState Key Laboratory of Remote Sensing and Digital Earth, Advanced Interdisciplinary Institute of Satellite Applications, Faculty of Geographical Science, Beijing Normal University, Beijing, China. wangqiao@bnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenological shifts in boreal forests alter land-atmosphere energy exchange, but annual averages mask pronounced seasonal contrasts in the magnitude and pathways of this feedback. Here we show that climate-driven phenological instability generates a systematic warming asymmetry: surface warming from leaf area loss exceeds the cooling from an equivalent gain. During the growing season, additional foliage yields diminishing cooling returns as transpiration approaches its physiological limits, constraining latent heat flux. During the dormant season, the canopy-snow albedo contrast makes shortwave radiation dominant; because this radiative perturbation is converted into surface temperature highly non-linearly, foliage loss still produces a net warming exceeding the cooling from an equivalent gain. Per unit leaf area change, the median asymmetry index indicates warming roughly 2.0-2.3 times stronger than cooling in spring and autumn, and about an order of magnitude stronger in winter, where a very small greening-side sensitivity inflates the ratio; in summer both responses approach the detection limit and the asymmetry is not directionally robust. Phenological instability therefore acts as a seasonally structured positive biophysical feedback in northern ecosystems.

Identifiers

PMID42838955
PMCPMC13642349

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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.