Evidence map›Paper›PMID 40899784›Full record

ArticleAmerican journal of botany2025

Adaptive plant traits under anthropogenic burning regimes: A database for UK heath and mire plant species.

Kimberley J Simpson, Claire M Belcher, Sarah J Baker

Abstract read
In one paragraph

Article in American journal of botany, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Kimberley J SimpsonSchool of Biosciences, University of Sheffield, Sheffield, South Yorkshire, UK.ORCID 0000-0001-6673-227X
Claire M BelcherwildFIRE Lab, University of Exeter, Exeter, UK.ORCID 0000-0003-3496-8290
Sarah J BakerwildFIRE Lab, University of Exeter, Exeter, UK.ORCID 0000-0002-9172-0729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

premiseHumans have used fire to manage landscapes for millennia, but this use of fire is declining in many ecosystems. Understanding how plants respond to these changes is key to predicting ecosystem resilience and impacts on services such as biodiversity and carbon sequestration. However, many ecosystems lack data on plant fire responses. A solution is to infer these responses through studying functional traits that offer fitness benefits under fire by enabling species to resist fire, or persist through fire, by resprouting or recruitment from stored seed banks or dispersed seed. Studying these traits helps predict species performance under fire.

methodsWe used a trait-based approach to create a database of fire-relevant traits and fire responses for vascular and nonvascular plant species in UK heath and mire ecosystems managed by fire. By reviewing the available literature, we collected data on traits adaptive under frequent burns for 153 plant taxa that could then be used to make predictions about fire effects.

resultsOf the 153 taxa assessed, 97% had fire-adaptive traits; 149 taxa had resistance and/or persistence traits, enabling survival or regeneration after fire. Additionally, 20 taxa showed fire-enhanced recruitment, while only four lacked traits aiding survival during or after fire.

conclusionsThe database created here is designed to be a resource for those who study and manage heath and mire ecosystems. The use of fire in areas where heath is underlain by peat is much debated, and this database can inform how changing or removing the use of fire will impact plant communities.

Indexed as

Adaptation, PhysiologicalAnthropogenic EffectsFiresPlant Physiological PhenomenaPlantsDatabases, FactualEcosystemUnited Kingdomadaptive traitsheathlandsland managementmoorlandspeatlandsplant functional traitsprescribed firerotational burningtemperate ecosystems

Identifiers

PMID40899784
PMCPMC12572691

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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.