Evidence map›Paper›PMID 36418327›Full record

ArticleNature communications2022

Wildflower phenological escape differs by continent and spring temperature.

Benjamin R Lee, Tara K Miller, Christoph Rosche, Yong Yang, J Mason Heberling, Sara E Kuebbing, Richard B Primack

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  6. New York State Climate Impacts Assessment Chapter 05: Ecosystems.Annals of the New York Academy of Sciences · 2024
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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

7 authors.

Benjamin R LeeSection of Botany, Carnegie Museum of Natural History, Pittsburgh, PA, USA. LeeB@CarnegieMNH.org.ORCID 0000-0002-5256-0515
Tara K MillerBiology Department, Boston University, Boston, MA, USA.
Christoph RoscheInstitute of Biology/Geobotany and Botanical Garden, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Yong YangCo-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, 159 Longpan Rd., Nanjing, 210037, China.ORCID 0000-0001-7763-5133
J Mason HeberlingSection of Botany, Carnegie Museum of Natural History, Pittsburgh, PA, USA.ORCID 0000-0003-0756-5090
Sara E KuebbingDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
Richard B PrimackBiology Department, Boston University, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temperate understory plant species are at risk from climate change and anthropogenic threats that include increased deer herbivory, habitat loss, pollinator declines and mismatch, and nutrient pollution. Recent work suggests that spring ephemeral wildflowers may be at additional risk due to phenological mismatch with deciduous canopy trees. The study of this dynamic, commonly referred to as "phenological escape", and its sensitivity to spring temperature is limited to eastern North America. Here, we use herbarium specimens to show that phenological sensitivity to spring temperature is remarkably conserved for understory wildflowers across North America, Europe, and Asia, but that canopy trees in North America are significantly more sensitive to spring temperature compared to in Asia and Europe. We predict that advancing tree phenology will lead to decreasing spring light windows in North America while spring light windows will be maintained or even increase in Asia and Europe in response to projected climate warming.

Indexed as

DeerAnimalsClimate ChangeSeasonsTemperatureTrees

Identifiers

PMID36418327
PMCPMC9684453

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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.