Evidence map›Paper›PMID 42719767›Full record

ArticleInnovation (Cambridge (Mass.))2026

Heat requirement, not warming, governs the urban-rural disparity in spring phenology advancement.

Can He, Xiaoyue Wang, Josep Peñuelas, Xuezhen Zhang, Chaoyang Wu

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 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

5 authors.

Can HeThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Xiaoyue WangThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Josep PeñuelasCSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, 08193 Barcelona, Catalonia, Spain.
Xuezhen ZhangThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Chaoyang WuThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urbanization has profoundly altered local climates and vegetation structures, resulting in pronounced differences in spring phenology between urban and rural areas. However, the mechanistic drivers of this urban-rural divergence, specifically regarding the rates of phenological advancement, remain poorly understood. Using satellite-derived phenology observations across 354 cities in China from 2001 to 2020, we show that the advancement of the spring green-up date (GUD) was significantly more rapid in urban areas than in their rural surroundings under continuous warming. This urban-rural divergence was observed in 47.7% of the studied cities, where urban advancement trends outpaced rural ones by an average of 0.37 ± 0.24 days/year, particularly in temperate warm-summer regions. By integrating chilling accumulation and thermal requirement models with interpretable machine learning, we identify accumulated heat demand as the primary driver of this divergence. Partial correlation analysis reveals that thermal requirements dominate GUD shifts, explaining 74% of the variance in urban areas and surpassing the influence of chilling accumulation (51%). Moreover, we find that vegetation structure modulates these shifts, as increased species richness amplifies urban GUD trends while tree density buffers rural shifts. Notably, current empirical models largely failed to reproduce both the spatial patterns and the magnitude of the urban-rural divergence in GUD trends. Our results redefine the hierarchy of controls on spring phenology in human-dominated landscapes, with critical implications for predicting ecosystem responses under accelerating urbanization.

Indexed as

biodiversityclimate changeheat requirementspring phenologyurban-rural divergence

Identifiers

PMID42719767
PMCPMC13556322

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.