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Record W3116318393 · doi:10.1111/ejss.13081

Effect of combining straw‐derived materials and wood ash on alkaline soil carbon content and the microbial community

2020· article· en· W3116318393 on OpenAlex
Huili Zhao, Xiaohong Tian, Yuhan Jiang, Ying Zhao, Bingcheng Si

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

VenueEuropean Journal of Soil Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsStrawWood ashSoil carbonAmendmentChemistrySoil waterAgronomyTotal organic carbonEnvironmental scienceEnvironmental chemistryPulp and paper industrySoil scienceBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The return of organic materials to cultivated fields to improve soil quality and to sequester carbon are widely studied, but the effects of combining different types of organic material on soil microbial diversity and community structure are poorly understood, particularly in alkaline soils. An incubation experiment was performed to study the effects of incorporating two straw‐derived materials (fresh straw and semi‐decomposed straw) alone or in combination with wood ash. The organic carbon content of soil treated with straw‐derived materials was significantly higher than that of soil with no straw and wood addition, but there was no significant difference between the fresh straw and semi‐decomposed straw treatments. Microbial diversity was decreased by the addition of straw on day 7; however, the combination of fresh/semi‐decomposed straw with wood ash increased bacterial diversity on day 118, and the combination of semi‐decomposed straw with wood ash increased fungal diversity. Fresh straw combined with wood ash significantly increased the abundance of Ascomycota by 15.5% relative to that of soil treated with semi‐decomposed straw, and semi‐decomposed straw combined with wood ash increased the abundance of Basidiomycota by 40.5% relative to that of soil treated with fresh straw. Amendment with straw‐derived materials and wood ash shaped the bacterial community in alkaline soil by changing the soil organic carbon, dissolved organic carbon and pH, and the characteristics of straw‐derived materials and wood ash shaped the fungal community. Straw‐return modes that employ semi‐decomposed straw and wood ash addition can maintain organic carbon levels and improve the soil micro‐environment. Highlights Combining straw‐derived materials and wood ash affects alkaline soil carbon content and the microbial community. The effects of fresh and semi‐decomposed wheat straw on soil microorganisms and soil carbon content are reported for the first time. The combination of semi‐decomposed wheat straw and wood ash enhanced soil fungal diversity and Basidiomycota abundance. Semi‐decomposed wheat straw and wood ash can maintain organic carbon levels and improve the soil micro‐environment.

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)0.004
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 score0.195
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.029
GPT teacher head0.216
Teacher spread0.187 · 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