Evidence map›Paper›PMID 42548764›Full record

ArticleFrontiers in plant science2026

Study on the spatiotemporal variations of vegetation phenology in China based on solar-induced chlorophyll fluorescence.

Shikang Zhang, Xiaotong Li, Wei Zhang, Chenchen Yuan

Abstract read
In one paragraph

Article in Frontiers in plant science, 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

4 authors.

Shikang ZhangCollege of Resources and Environment, Anhui Science and Technology University, Fengyang, Anhui, China.
Xiaotong LiCollege of Management, Anhui Science and Technology University, Bengbu, Anhui, China.
Wei ZhangCollege of Architecture, Anhui Science and Technology University, Bengbu, Anhui, China.
Chenchen YuanCollege of Architecture, Anhui Science and Technology University, Bengbu, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzed the temporal and spatial dynamics of vegetation phenology using high-resolution solar-induced chlorophyll fluorescence (HCSIF) data combined with meteorological and land use data. Regression, stability, continuity, and correlation analyses were conducted to evaluate the effects of climate change on vegetation phenology in China over the past 20 years. The results showed that, first, the start of the season (SOS) ranged from early January to mid-May and the end of the season (EOS) from mid-August to late December, with an average growing season (LOS) of 8 months. Over 20 years, SOS advanced by 0.02 days/year, EOS was delayed by 0.23 days/year, and LOS lengthened by 0.13 days/year. Second, most vegetation types exhibited delayed EOS and prolonged LOS, except grasslands and shrubs, which showed slightly advanced EOS and shortened LOS. Cultivated land and natural vegetation experienced the most significant changes, with SOS advancing by 0.66 days/year, EOS delaying by 0.97 days/year, and LOS increasing by 1.37 days/year. Lastly, elevation and urbanization had notable effects: every 500-m elevation increase advanced SOS by 3.67 days, delayed EOS by 2.87 days, and extended LOS by 6.53 days; a 10% urbanization increase led to a 1.37 days/year SOS advance, 2.22 days/year EOS delay, and 3.09 days/year LOS extension. Meteorological factors strongly influenced the phenological changes, particularly in cultivated and natural vegetation.

Indexed as

climate changegrowing seasonremote sensingSIFvegetation phenology

Identifiers

PMID42548764
PMCPMC13429671

What OpenQuestion holds

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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.