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Record W6903042079 · doi:10.7939/r3-dsjv-ej67

Carbon Dynamics across Contrasting Temperate Agroecosystems: Soil Organic Matter Pools, Mycorrhizae, Water Use-efficiency, Methane and Carbon Dioxide Fluxes

2022· dissertation· en· W6903042079 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2022
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPerennial plantEddy covarianceSoil carbonGreenhouse gasTemperate climateSoil waterEvapotranspirationCroppingSoil organic matter

Abstract

fetched live from OpenAlex

Perennial grain crops have been proposed as a sustainable alternative to conventional annual grain crops, since they potentially hold multiple desirable features including increased soil C sequestration and biodiversity, mitigation of greenhouse gases (GHGs), and reduction of water loss and others. These attributes are accomplished by their no-tillage management, longer growing season, and pervasive root systems. Nonetheless, the ramifications of implementing novel perennial grain cropping systems to the atmosphere, lithosphere, and biosphere remains elusive. In this research, comprehensive comparisons were made to enhance current understanding of how annual versus perennial grain cropping differ in soil organic matter (SOM) pools, GHGs emissions, and mycorrhizae (i.e., AMF). Five contrasting cropping systems —fallow, annual-grain, biennial-grain, perennial-grain, and perennial-forage — were compared with and without N fertilizer addition. A randomized complete block design consisting of four replicates was initiated at sites located in Edmonton and Breton, Alberta, Canada. In addition to the replicate plots, two adjacent 4-ha fields, including annual vs. perennial grain crops, were set up for eddy covariance measurements at the Breton site. By doing so, it was expected that they address a limitation of the chamber measurements with respect to instantaneous and heterogeneous capture, as well as evapotranspiration (ET) comparison. As a result of SOC fractionation, perennial grain crops increased soil C concentration in both transitory and stable pools compared with annual grain compartments, although overall soil C sequestration occurred as a function of N fertilizer, cropping systems, and underlying soil texture. Moreover, substantial CH4 and CO2 uptake were observed in perennial grain cropping system compared with annual grain crops likely due to a shift to favorable GHGs sink conditions such as aeration-moisture balance, photosynthetic activity, and microbial decomposition. However, overall cumulative ET and associated ecosystem-water use efficiency were similar with between the two cropping systems. Lastly, arbuscular mycorrhizal fungi (AMF) community compositions between annual and perennial grain cropping systems exhibited no significant difference, likely due to the genetic similarity of two crops. In addition, the two contrasting study sites had different patterns of AMF alpha and beta diversity, which may be a result of differing inherent soil properties and management legacy effect across field sites. In sum, AMF communities appear to be impervious to annual vs perennial grain crops, rather their most pronounced difference are field site specific. In sum, my research has been conducted for an overall assessment of whether perennial grain crops play a multifunctional role in agroecosystems toward better sustainability.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.005
GPT teacher head0.172
Teacher spread0.167 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

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