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Record W4401951440 · doi:10.1016/j.crsus.2024.100179

Future soil organic carbon stocks in China under climate change

2024· article· en· W4401951440 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

VenueCell Reports Sustainability · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsUniversité du Québec à Montréal
FundersFundamental Research Funds for Central Universities of the Central South UniversityNational University's Basic Research Foundation of ChinaFundamental Research Funds for the Central UniversitiesChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsSoil carbonClimate changeEnvironmental scienceChinaCarbon fibersCarbon stockEarth scienceAgroforestryPhysical geographyNatural resource economicsSoil scienceGeographySoil waterGeologyEconomicsOceanographyMaterials science

Abstract

fetched live from OpenAlex

Quantifying soil organic carbon (SOC) is crucial for China's carbon neutrality goals, yet uncertainties exist due to future climate change. We compiled a comprehensive SOC database for China circa 2010 and utilized digital soil mapping methods to estimate SOC. Using a climate data-driven model, we projected SOC changes from 2021 to 2100 under different shared socioeconomic pathways (SSPs). The top 100 cm SOC is predicted to store 81.99 ± 1.90 to 88.92 ± 1.24 Pg C, with 37.8% to 41.7% in the top 20 cm. Under the SSP119 scenario, the top 100 cm SOC would increase by 11.5 ± 5.3 Tg C year − 1 , contributing to 2.7% ± 1.6% of the carbon sink in China's terrestrial ecosystems over the same period. However, the top 100 cm SOC would transition into a carbon source under SSP245 and SSP585, despite geographical and provincial differences. Maps reveal SOC loss hotspots under SSP245 and SSP585, indicating priority regions for soil carbon conservation efforts.

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.

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)0.001
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 score0.114
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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