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Record W4363673840 · doi:10.1016/j.soilbio.2023.109024

Stable oxic-anoxic transitional interface is beneficial to retard soil carbon loss in drained peatland

2023· article· en· W4363673840 on OpenAlexaff
Liangfeng Liu, Jianqing Tian, Hongjun Wang, Dan Xue, Xinya Huang, Ning Wu, Meng Wang, Xingliang Xu, Changhui Peng, Yanfen Wang, Huai Chen

Bibliographic record

VenueSoil Biology and Biochemistry · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsUniversité du Québec à Montréal
FundersChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsAnoxic watersPeatCarbon dioxideEnvironmental scienceCarbon fibersSoil carbonChemistryEnvironmental chemistrySoil scienceEcologySoil waterMaterials scienceBiology

Abstract

fetched live from OpenAlex

Peatlands are vital carbon sink globally and have been drained severely. An oxic-anoxic transitional (OAO) interface was created in drained peatlands profile during long-term water table fluctuation. Here, we aimed to investigate how the CO 2 release at the OAO interface respond to climate warming and exogenous carbons addition. We found that the carbon at OAO interface was complex, with higher proportion of aromatics, aliphatics and Fe-bound organic carbons . The microbial activity and diversity at OAO interlayer were lowest. Through a lab incubation, we found that the cumulative CO 2 emission at OAO interface was 12.36 ± 1.57 mg CO 2 g −1 C, 117.6% and 36.6% lower than the upper oxic soil (26.89 ± 1.05 μg CO 2 g −1 C) and deep anoxic (16.88 ± 1.56 μg CO 2 g −1 C) layer, respectively. Moreover, the CO 2 emission at the OAO interface was least warming-responsive under anoxic dominated conditions. These results reveal that the OAO interface could work as a buffer to retard drained peatland carbon lose under warming climate. However, the CO 2 emission at the OAO interface was extremely sensitive to exogenous carbons, which increased by 53.9%–72.1% after exogenous carbon addition, implying that the buffer capacity of OAO interface will collapse if being exposed to available carbons from plant or soil macromolecular carbons. Our results demonstrated that maintain a stable OAO interface was beneficial to reduce drained peatlands carbon loss, and the priority is to ease the priming effect caused by exogenous carbons.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.550

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 head0.007
GPT teacher head0.235
Teacher spread0.228 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2023
Admission routes1
Has abstractyes

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