Evidence map›Paper›PMID 40888515›Full record

ArticleGlobal change biology2025

Which Plant Traits Increase Soil Carbon Sequestration? Empirical Evidence From a Long-Term Poplar Genetic Diversity Trial.

John L Field, Brandon P Sloan, Matthew E Craig, Parker Calloway, Sarah L Ottinger, Thomas Mead, Rose Z Abramoff, Mirko Pavicic Venegas, Hari B Chhetri, Kathy Haiby and 4 more

Abstract read
In one paragraph

Article in Global change biology, 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

14 authors.

John L FieldEnvironmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0003-4451-8947
Brandon P SloanEnvironmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0003-1630-4271
Matthew E CraigEnvironmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0002-8890-7920
Parker CallowayDepartment of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, North Carolina, USA.ORCID 0000-0002-9269-2993
Sarah L OttingerTennessee Valley Authority, Knoxville, Tennessee, USA.ORCID 0000-0002-3011-8523
Thomas MeadEnvironmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0009-0009-0415-5329
Rose Z AbramoffSchool of Forest Resources, University of Maine, Orono, Maine, USA.ORCID 0000-0002-3393-3064
Mirko Pavicic VenegasBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0002-2908-3183
Hari B ChhetriBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0001-6820-8789
Kathy HaibyPoplar Innovations, Inc., Castle Rock, Washington, USA.
Udaya C KalluriBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0002-5963-8370
Wellington MucheroBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0002-0200-9856
Christopher W SchadtBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0001-8759-2448
Melanie A MayesEnvironmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0001-6368-9210

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants play a key role in mediating soil response to global change, and breeding or engineering crops to increase soil organic carbon (SOC) storage is a potential route to land-based carbon dioxide removal in agricultural systems. However, due to limited observational datasets plus shifting paradigms of SOC stabilization, it is unclear which plant traits are most important for enhancing different types of soil organic matter. Existing long-term common gardens of genetically diverse plant populations may provide an opportunity to evaluate biological controls on SOC, separate from environmental or management variability. Here we report on soil and root chemical data collected for 24 genotypes within a 13-year-old common garden in northwestern Oregon planted with a large natural variant population of Populus trichocarpa. Fractionating surface soil (0-15 cm) revealed substantial variation in stocks of mineral-associated organic matter (MAOM; 18-67 t C/ha) and particulate organic matter (POM; 2-22 t C/ha). Tree genotype explained 24% and 26% of the MAOM and POM stock variability, respectively, after controlling for background variability. We found minimal association between SOC concentration and either aboveground tree productivity or root biomass recalcitrance (C/N ratios and lignin content). In contrast, root elemental content appeared influential for MAOM-C concentration, which showed a strong positive association with root aluminum (Al) and a strong negative association with root boron (B) and magnesium (Mg). Furthermore, root concentrations of these elements were highly heritable (57%-78%) and not simply a reflection of background variation in soil elemental concentrations. We estimate that surface SOC stocks under these 24 genotypes have diverged at rates of up to 1.2-4.3 t C/ha/year. These results suggest that long-term genetic diversity trials have value for elucidating biological controls on soil organic matter dynamics, and that traits associated with root elemental content may be a useful target for enhancing biosequestration.

Indexed as

CarbonCarbon SequestrationGenetic VariationPopulusSoilGenotypeOregonPlant RootsCarbonSoilbiomass recalcitrancecarbon farmingheritabilitymineral‐associated organic matterplant traitssoil carbon

Identifiers

PMID40888515
PMCPMC12400793

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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.