Evidence map›Paper›PMID 42901702›Full record

ArticleJournal of insect science (Online)2026

Temporal turnover and fire severity shape postfire beetle (Coleoptera) diversity at a forest range edge.

Briseida E Yáñez, Jane E Strobel, Valarie L Gabbard, Karalee A Corbeil, Robert M Plowes, Lawrence E Gilbert, Kenneth P Wray, Steven Gibson, Kelsey Meisenhelder, Alex Wild and 1 more

Abstract read
In one paragraph

Article in Journal of insect science (Online), 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

11 authors.

Briseida E YáñezStengl Lost Pines Biological Station, Biodiversity Center, Department of Integrative Biology, The University of Texas at Austin, Smithville, TX, USA.
Jane E StrobelStengl Lost Pines Biological Station, Biodiversity Center, Department of Integrative Biology, The University of Texas at Austin, Smithville, TX, USA.ORCID 0009-0002-2397-6527
Valarie L GabbardStengl Lost Pines Biological Station, Biodiversity Center, Department of Integrative Biology, The University of Texas at Austin, Smithville, TX, USA.
Karalee A CorbeilStengl Lost Pines Biological Station, Biodiversity Center, Department of Integrative Biology, The University of Texas at Austin, Smithville, TX, USA.ORCID 0009-0000-2302-9293
Robert M PlowesBrackenridge Field Laboratory, Biodiversity Center, Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-5803-755X
Lawrence E GilbertBrackenridge Field Laboratory, Biodiversity Center, Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.
Kenneth P WrayStengl Lost Pines Biological Station, Biodiversity Center, Department of Integrative Biology, The University of Texas at Austin, Smithville, TX, USA.
Steven GibsonStengl Lost Pines Biological Station, Biodiversity Center, Department of Integrative Biology, The University of Texas at Austin, Smithville, TX, USA.
Kelsey MeisenhelderStengl Lost Pines Biological Station, Biodiversity Center, Department of Integrative Biology, The University of Texas at Austin, Smithville, TX, USA.
Alex WildUniversity of Texas Insect Collection, Biodiversity Center, Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.
Rossana Maguiña-CondeStengl Lost Pines Biological Station, Biodiversity Center, Department of Integrative Biology, The University of Texas at Austin, Smithville, TX, USA.ORCID 0000-0003-3878-8940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent decades, wildfires have increased in frequency and severity, reshaping forest structure and biodiversity. Yet it remains unclear whether postfire insect assemblages are driven primarily by fire severity, vegetation structure, or broader temporal community turnover, particularly in fragmented range-edge forests. We investigated flight-active beetle (Coleoptera) assemblages 2 years after a 2022 wildfire in the Lost Pines region of Texas, an isolated loblolly pine (Pinus taeda L.) forest at the species' western range margin. Using historical data from 2011, we evaluated temporal turnover and compared diversity and assemblage composition between contemporary burned and unburned sites. We also quantified fire severity and vegetation structure to analyze their effects on richness and abundance. Contemporary and burned sites supported higher richness and abundance than historical and unburned sites, although evenness declined as opportunistic species became dominant. Beetle assemblage differed significantly between sampling periods and burn status, indicating substantial temporal turnover amplified by wildfire. Fire severity showed strong positive associations with richness and abundance, whereas vegetation structure played a secondary but important role. Richness and abundance increased with woody plant richness, tree diversity, tree size, live tree density, and shrub richness. In contrast, dead tree variables were generally weak or negative predictors, suggesting that the influence of fire-generated deadwood may be transient and strongest shortly after disturbance. Together, these findings indicate that postfire flight-active beetle assemblages in the Lost Pines are shaped by the interaction of long-term temporal turnover and fire-driven successional dynamics, with fire severity acting as the dominant driver of community change.

Indexed as

BiodiversityColeopteraForestsWildfiresAnimalsPinus taedaPopulation DynamicsTexashabitat heterogeneitypyrophiloussaproxylicsuccession

Identifiers

PMID42901702
PMCPMC13682840

What OpenQuestion holds

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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.