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Record W7028387040

Enhancing Soil Organic Sarbon Storage Through Forested Buffers and Biochar Application in Agricultural Lands

2021· other· en· W7028387040 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPerennial plantSoil carbonWindbreakVegetation (pathology)Greenhouse gasBiomass (ecology)Carbon sequestrationManureBiocharAgriculture
DOInot available

Abstract

fetched live from OpenAlex

Tailoring agricultural management practices to increase soil organic carbon (SOC) storage and reduce greenhouse gas (GHG) emissions can improve the ecological goods and services generated by agricultural land. We conducted a 4-yr field study in central Alberta, Canada in two common types of agroforestry systems: hedgerows (legacy perennial vegetation buffers that include a woody component) and shelterbelts (planted woody perennial vegetation at field margins). In adjacent cropland, we compared manure compost (MT) and biochar (BT, charred MT) applications with a control (CT, no treatment). We also compared SOC and GHG emissions between CT and adjacent perennial vegetated areas, either with (+WT) or without (-WT) a woody component. Within croplands, there was a trend for increased CO2 emissions and water-soluble organic C (WSOC) in MT compared to both BT and CT. Additionally, decreased microbial biomass C in both MT and BT relative to CT indicates the increased WSOC in MT may not have contributed to microbial growth, instead reflecting inefficient respiration. Increased SOC concentrations were retained in the cropland surface soil of BT, but not MT, plots two years post application. Hedgerow systems contained substantially more SOC under perennial vegetation, particularly in the +WT subplots, relative to the cropland to 100 cm in depth, primarily due to increased particulate organic matter. Shelterbelt system SOC storage was similar across the component land uses. The cropland also had less SOC physically protected in aggregates relative to adjacent soil under perennial vegetation. Overall, our preliminary results show that biochar, rather than manure, application increased agricultural SOC storage while not increasing GHG emissions. Further research is warranted to assess large-scale cropland application of manure-derived biochar, including a life-cycle analysis to determine the C footprint. Additionally, we show that retaining legacy perennial vegetation buffers with a woody component (hedgerows) is more effective than planting of shelterbelts to increase SOC protection and storage on agriculture land in both surface and deep (to 100 cm) soil layers. Policy and C sequestration initiatives should incentivize the retention of hedgerows on agricultural land. Link to Video Presentation: https://youtu.be/fZSRm6DfzG8

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.160
Teacher spread0.155 · 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.

Study designQualitative
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

Citations0
Published2021
Admission routes1
Has abstractyes

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