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Field experiment reveals varied earthworm densities boost soil organic carbon more than they increase carbon dioxide emissions

2025· article· en· W4408681117 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeoderma · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsUniversity of Alberta
FundersScience and Technology Department of Zhejiang ProvinceZhejiang A and F UniversityNatural Science Foundation of Zhejiang ProvinceNational Natural Science Foundation of China
KeywordsCarbon dioxideEarthwormEnvironmental scienceSoil carbonCarbon fibersGreenhouse gasEnvironmental chemistrySoil waterSoil scienceChemistryAgronomyMaterials scienceGeologyOceanographyBiology

Abstract

fetched live from OpenAlex

• Earthworms boosted CO 2 emissions and SOC concentrations in bamboo forest soils. • Earthworm activity raised CO 2 emissions by elevating DOC and BG levels. • Higher earthworm densities resulted in lower soil CO 2 emissions. • Earthworms increased SOCD sixfold compared to their CO 2 -C emissions. Earthworms play crucial roles in regulating soil organic carbon (SOC) and greenhouse gas emissions in forest soils. Laboratory studies have proven that they promote soil carbon dioxide (CO 2 ) emissions. However, the effects of earthworm activity on forest soil CO 2 emissions and organic carbon (C) have not yet been quantified in situ, and the impact of different earthworm densities remain unclear. In this study, we investigated how earthworm ( Pheretima guillelmi ) activity at three densities (no earthworms, original density, and double the original density) affected SOC, its labile fractions, C-related enzyme activities, and soil CO 2 emissions in a Moso bamboo ( Phyllostachys edulis ) forest ecosystem over a six-month field experiment. Our results showed that the original earthworm density resulted in a 23.4 % increase in soil CO 2 emissions, while double the original earthworm density resulted in a 9.6 % reduction in emissions compared to the original density. Additionally, earthworms at both densities significantly increased the concentration of SOC and its labile fractions. Notably, the increase in SOC density (SOCD, SOC stock per unit land area, kg C ha −1 ) induced by earthworm activity far exceeded the increase in CO 2 -C emissions. Specifically, the earthworms at double the original density led to an 8.8-fold increase in SOCD, while the original density resulted in a 3.7-fold increase. Furthermore, our findings identified dissolved organic C (DOC) as the most critical labile organic C fraction influencing soil CO 2 emissions associated with earthworm activity, while β-glucosidase (BG) was the most significant C-related enzyme affecting soil CO 2 emissions driven by earthworm activity. These results provide important insights into the role of earthworms in both CO 2 emissions and SOC accumulation in subtropical forests.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.223
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it