Evidence map›Paper›PMID 35212713›Full record

ArticleAnnals of botany2022

Stepping up to the thermogradient plate: a data framework for predicting seed germination under climate change.

Justin C Collette, Karen D Sommerville, Mitchell B Lyons, Catherine A Offord, Graeme Errington, Zoe-Joy Newby, Lotte von Richter, Nathan J Emery

Open access · hybridAbstract read
In one paragraph

Article in Annals of botany, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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

8 authors at 2 institutions in 1 country.

Justin C ColletteThe Australian PlantBank, Australian Institute of Botanical Science, Australian Botanic Garden, Mount Annan, NSW 2567, Australia.ORCID 0000-0002-4618-2677
Karen D SommervilleThe Australian PlantBank, Australian Institute of Botanical Science, Australian Botanic Garden, Mount Annan, NSW 2567, Australia.
Mitchell B LyonsCentre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, Sydney NSW 2052, Australia.
Catherine A OffordThe Australian PlantBank, Australian Institute of Botanical Science, Australian Botanic Garden, Mount Annan, NSW 2567, Australia.
Graeme ErringtonThe Australian PlantBank, Australian Institute of Botanical Science, Australian Botanic Garden, Mount Annan, NSW 2567, Australia.
Zoe-Joy NewbyThe Australian PlantBank, Australian Institute of Botanical Science, Australian Botanic Garden, Mount Annan, NSW 2567, Australia.
Lotte von RichterThe Australian PlantBank, Australian Institute of Botanical Science, Australian Botanic Garden, Mount Annan, NSW 2567, Australia.
Nathan J EmeryThe Australian PlantBank, Australian Institute of Botanical Science, Australian Botanic Garden, Mount Annan, NSW 2567, Australia.
Australian National Botanic Gardens · AUEcosystem Sciences · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsSeed germination is strongly influenced by environmental temperatures. With global temperatures predicted to rise, the timing of germination for thousands of plant species could change, leading to potential decreases in fitness and ecosystem-wide impacts. The thermogradient plate (TGP) is a powerful but underutilized research tool that tests germination under a broad range of constant and alternating temperatures, giving researchers the ability to predict germination characteristics using current and future climates. Previously, limitations surrounding experimental design and data analysis methods have discouraged its use in seed biology research.

methodsHere, we have developed a freely available R script that uses TGP data to analyse seed germination responses to temperature. We illustrate this analysis framework using three example species: Wollemia nobilis, Callitris baileyi and Alectryon subdentatus. The script generates >40 germination indices including germination rates and final germination across each cell of the TGP. These indices are then used to populate generalized additive models and predict germination under current and future monthly maximum and minimum temperatures anywhere on the globe. KEY

resultsIn our study species, modelled data were highly correlated with observed data, allowing confident predictions of monthly germination patterns for current and future climates. Wollemia nobilis germinated across a broad range of temperatures and was relatively unaffected by predicted future temperatures. In contrast, C. baileyi and A. subdentatus showed strong seasonal temperature responses, and the timing for peak germination was predicted to shift seasonally under future temperatures.

conclusionsOur experimental workflow is a leap forward in the analysis of TGP experiments, increasing its many potential benefits, thereby improving research predictions and providing substantial information to inform management and conservation of plant species globally.

Indexed as

Climate ChangeGerminationEcosystemPlant DormancySeedsTemperatureAlectryon subdentatusCallitris baileyiclimate changegeneralized additive modelsgermination nicheseed testingtemperatureWollemia nobilis

Identifiers

PMID35212713
PMCPMC9292609
OpenAlexW4213413795

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.