Evidence map›Paper›PMID 41798314›Full record

ArticleEcology and evolution2026

Effect of Time-Since-Fire on Ant Communities in a Semi-Arid Landscape.

Norma L Fernando, Nick L Schultz, Grant Palmer, Philip S Barton

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Norma L FernandoGraduate Research School Federation University Australia Mount Helen Victoria Australia.ORCID https://orcid.org/0009-0007-3518-7943
Nick L SchultzFuture Regions Research Centre Federation University Australia Mount Helen Victoria Australia.
Grant PalmerFuture Regions Research Centre Federation University Australia Mount Helen Victoria Australia.
Philip S BartonSchool of Life and Environmental Sciences Deakin University Waurn Ponds Victoria Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Semi-arid mallee landscapes are shaped by wildfires. Due to climate change, wildfires are expected to become more frequent and intense, making their management a conservation priority. Ants are often used as bioindicators in land management studies, as their composition, richness, and abundance respond to disturbances, including wildfires, both directly and indirectly through habitat modification. In the semi-arid zone of western New South Wales, Australia, we examined how time-since-fire influences ant species richness, abundance, and community composition and assessed whether fire-induced changes in vegetation composition explain the observed patterns in ant community structure. We sampled ants at five sites that last burned 3, 5, 9, 26, and 34 years ago, respectively. We identified 59 ant species from 20 genera in a total of 16,360 sampled ants. We found that post-fire ant communities exhibited higher abundance immediately after fire, while species richness increased with time-since-fire. Early successional stages with greater shrub density favored dominant and opportunistic ant species, whereas later stages with increased tree and grass cover supported more diverse ant communities. These results demonstrate that fire drives successional specialization in ant communities through niche filtering. Maintaining heterogeneous fire-age vegetation mosaics is therefore critical for conserving landscape-level biodiversity in fire-regulated mallee ecosystems.

Indexed as

AnthropocenebiodiversityFormicidaeinsectmallee landscapespinifexsuccession

Identifiers

PMID41798314
PMCPMC12966963

What OpenQuestion holds

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LicenceCC BY
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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.