Evidence map›Paper›PMID 41786726›Full record

SynthesisNature communications2026

Quantifying the trade-off between spring phenology and lethal frost risk: a meta-analysis.

Zhengjie Yan, Cheng Chen, Yue Liu, Yujiang Li, Huiying Liu, Hao Wang, Tao Yan, Xin Jing, Shuai Ren, Hongbiao Zi and 3 more

Abstract readMeta-Analysis
In one paragraph

Synthesis 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

13 authors.

Zhengjie YanState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Cheng ChenState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Yue LiuState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Yujiang LiState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.ORCID http://orcid.org/0009-0007-8941-0477
Huiying LiuZhejiang Tiantong Forest Ecosystem National Observation and Research Station, Institute of Eco-Chongming, Zhejiang Zhoushan Island Ecosystem Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.ORCID http://orcid.org/0000-0001-8903-6103
Hao WangState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.ORCID http://orcid.org/0000-0001-9115-1290
Tao YanState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Xin JingState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.ORCID http://orcid.org/0000-0002-7146-7180
Shuai RenDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Hongbiao ZiState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Yan ShiState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Tao WangState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-1323-8697
Jin-Sheng HeState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China. jshe@pku.edu.cn.ORCID http://orcid.org/0000-0001-5081-3569

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32130065
6 · The paper itself

Abstract

The timing of spring phenology represents a critical trade-off between growing season extension and frost risk avoidance, the balance of which governs plant fitness and shapes plant species' distributions. However, few quantitative assessments exist, indicating that this trade-off is largely untested empirically. Here, we present a global meta-analysis encompassing 193 plant species across 126 study sites, finding consistently high freezing resistance (to -12 °C) with remarkably low lethal frost risk (safety margin of 17 °C) during spring emergence. Under projected climate warming scenarios, predictions indicate that advances in spring phenology do not affect the lethal frost risk under light and moderate warming scenarios. This is likely due to the reduced temperature sensitivity, consistent with trade-off predictions. By contrast, in the high-warming scenario, the freezing safety margin is predicted to expand (by ~1.7 °C), resulting in a lower lethal frost risk. This expansion may compensate for the diminished freezing resistance predicted under extreme warming. Our findings challenge the conventional view that simple environmental factors moderate spring phenology, and highlight the necessity of incorporating biotic factors (e.g., freezing resistance) and biotic processes (e.g., early growth versus frost risk trade-offs) into next-generation phenological models to enhance prediction accuracy under climate change.

Indexed as

FreezingSeasonsClimate ChangePlantsTemperature

Identifiers

PMID41786726
PMCPMC13087308

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.