Ensemble machine learning-based scaling up of wetland carbon dynamics across the Southeastern U.S.

Ana Flavia Brancalion-Costa, Evan Farry, Latif Kalin, Mohamed M Hantush, Zutao Ouyang

Abstract read

In one paragraph

Article in Ecological processes, 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

5 authors.

Ana Flavia Brancalion-CostaCollege of Forestry, Wildlife and Environment, Auburn University, Auburn, AL 36849 USA.

Evan FarryCollege of Forestry, Wildlife and Environment, Auburn University, Auburn, AL 36849 USA.

Latif KalinCollege of Forestry, Wildlife and Environment, Auburn University, Auburn, AL 36849 USA.ORCID https://orcid.org/0000-0001-9562-8834

Mohamed M HantushU.S. EPA, Andrew W. Breidenbach Environmental Research Center, Cincinnati, OH 45268 USA.

Zutao OuyangCollege of Forestry, Wildlife and Environment, Auburn University, Auburn, AL 36849 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although the Southeastern United States (SE US) has been identified as a major terrestrial carbon sink, the balance of CO Results: Model performance measured in Conclusions: Our results provide regional estimates of CO Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s13717-026-00755-9.

Indexed as

Carbon fluxMachine learningMulti-model ensembleSoutheast United StatesWetland

Identifiers

PMID42860983

DOI10.1186/s13717-026-00755-9

PMCPMC13653873

What OpenQuestion holds

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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.