ArticleNature communications2019
Spatial variance of spring phenology in temperate deciduous forests is constrained by background climatic conditions.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled 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.
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
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Acquisitive plants exhibit stronger phenological shifts in response to warming: insights from meta-analysis and long-term monitoring.Nature communications · 2026Pooled it
- Functional group and aridity regulate impacts of climate change on plant phenology: a meta-analysis.Nature communications · 2026Pooled it
- Effectiveness of freezing temperatures on dormancy release of temperate woody species.Annals of botany · 2024Article
- Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes.Scientific reports · 2024Article
- Spatial variability in herbaceous plant phenology is mostly explained by variability in temperature but also by photoperiod and functional traits.International journal of biometeorology · 2024Article
- Significant early end of the growing season of forest vegetation inside China's protected areas.iScience · 2024Article
- Radiation-constrained boundaries cause nonuniform responses of the carbon uptake phenology to climatic warming in the Northern Hemisphere.Global change biology · 2023Article
- Climate Controls on the Spatial Variability of Vegetation Greenup Rate across Ecosystems in Northern Hemisphere.Plants (Basel, Switzerland) · 2022Article
- Winter warming offsets one half of the spring warming effects on leaf unfolding.Global change biology · 2022Article
- Contrasting phenology responses to climate warming across the northern extra-tropics.Fundamental research · 2022Article
- Accurate phenology analyses require bud traits and energy budgets.Nature plants · 2022Article
- Spatial Difference of Interactive Effect Between Temperature and Daylength on Ginkgo Budburst.Frontiers in plant science · 2022Article
- Stronger Spring Phenological Advance in Future Warming Scenarios for Temperate Species With a Lower Chilling Sensitivity.Frontiers in plant science · 2022Article
- Effects of temperature variability and extremes on spring phenology across the contiguous United States from 1982 to 2016.Scientific reports · 2020Article
- Overestimation of the effect of climatic warming on spring phenology due to misrepresentation of chilling.Nature communications · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Leaf unfolding in temperate forests is driven by spring temperature, but little is known about the spatial variance of that temperature dependency. Here we use in situ leaf unfolding observations for eight deciduous tree species to show that the two factors that control chilling (number of cold days) and heat requirement (growing degree days at leaf unfolding, GDD
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.