Evidence map›Paper›PMID 40837032›Full record

ArticleCommunications earth & environment2025

Wildfire legacies on pyrogenic carbon stocks in Amazonian peatlands.

Yuwan Wang, Angela Gallego-Sala, Michael I Bird, Patrick Moss, Hamish A McGowan, Juan C Benavides, Eurídice N Honorio Coronado, Ted R Feldpausch

Abstract read
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In one paragraph

Article in Communications earth & environment, 2025. 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

8 authors.

Yuwan WangDepartment of Geography, University of Exeter, Exeter, UK.ORCID 0000-0001-6073-1073
Angela Gallego-SalaDepartment of Geography, University of Exeter, Exeter, UK.ORCID 0000-0002-7483-7773
Michael I BirdCollege of Science and Engineering and ARC Centre of Excellence for Indigenous and Environmental Histories and Futures, James Cook University, Cairns, Australia.ORCID 0000-0003-1801-8703
Patrick MossSchool of the Environment, University of Queensland, Brisbane, Australia.
Hamish A McGowanSchool of the Environment, University of Queensland, Brisbane, Australia.ORCID 0000-0002-2844-2084
Juan C BenavidesDepartment of Ecology and Territory, Pontificia Universidad Javeriana, Bogotá, Colombia.ORCID 0000-0002-9694-2195
Eurídice N Honorio CoronadoRoyal Botanic Gardens, Kew, Richmond, London, UK.
Ted R FeldpauschDepartment of Geography, University of Exeter, Exeter, UK.ORCID 0000-0002-6631-7962

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amazonian peatlands are carbon-rich ecosystems that act as long-term carbon sinks but have faced increasing fire risks in recent decades. As a legacy of past fires, the contribution of pyrogenic carbon (PyC) to carbon cycling in these peatlands remains poorly understood. Here, we assess PyC accumulation variability using six cores spanning peatlands in northwestern Amazonia using hydrogen pyrolysis. We also estimate the PyC stock for the entire Amazonian peatlands by combining our field dataset with published sources. The PyC to total organic carbon ratio averaged 1.2% across our sites and increased with peat age. We estimate a total peatland PyC stock of 0.73 ± 0.61 Pg for the Amazon Basin, representing 1.6% of their TOC stock. Due to the slower turnover of PyC in peatland ecosystems, our findings indicate the importance of PyC generated by past fires and highlight the potential long-term carbon sequestration role of PyC in the future carbon cycle.

Indexed as

Carbon cycleEnvironmental impactFire ecologyPalaeoecology

Identifiers

PMID40837032
PMCPMC12360956

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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.