ArticleBMC plant biology2025
Phylogenetic relatedness and plant traits influenced flowering phenology change patterns in natural habitats in China (2003-2021).
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Rapid Surveys Reveal Temporal Variation in Flowering Community Phenology in a Great Basin Desert Ecosystem.Ecology and evolution · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundPhenology research has provided important insights on the influence of climate change on ecosystems. Investigation of spatial and interspecific difference can help us to better understand the phenology change pattern. In this study, observational data for 190 species collected from 2003 to 2021 at eight ecological stations in China were assessed via linear regression to detect trends in first flowering date (FFD), air temperature, and precipitation. We then examined the relationship between FFD change patterns, air temperature and precipitation through redundancy analysis, calculated the relative importance of phylogenetic relatedness, climate change, site conditions and plant traits in explaining variations in FFD change intensity using boosted regression tree method.
resultsWe found that (1) FFDs of nearly 40% of the observed species changed significantly (p < 0.05), with species showing advanced and delayed FFDs accounting for half. (2) Air temperature increased at most stations, particularly in spring and summer, while precipitation decreased in humid and subhumid temperate zones and increased during most seasons in arid temperate and subtropical zones. (3) Spatial differences were observed in FFD trends. At stations in Northeast, North, and Southwest China, which are regions with increased temperature, the percentage of species with advanced FFD was higher than that of species with delayed FFD, with the mean trend ranging from - 2.4 to - 6.5 d decade
conclusionsOur research found that the first flowering phenology of large percent of the observed plants changed significantly from 2003 to 2021, showing spatial and interspecific differences across observation sites. Our research also demonstrated the importance of plant phylogeny on interspecific differences in phenological changes, plant traits such as growth form, plant height, and flowering time influence flowering phenology to a certain extent. These findings will help us to better understand phenological responses to climate change on a national scale, and help us better predict the response of various plants to climate change in the future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.