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Record W2797656500 · doi:10.7939/r37x0b

Black carbon in Quebec boreal black spruce forests

2013· article· en· W2797656500 on OpenAlexaboutno aff
Laure Soucémarianadin

Bibliographic record

VenueUniversity of Alberta Library · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
Fundersnot available
KeywordsBlack spruceTaigaBorealForestryCarbon blackGeographyEnvironmental sciencePhysical geographyArchaeologyChemistry

Abstract

fetched live from OpenAlex

Wildfires affect boreal forest carbon stocks through consumption of the vegetation and forest floor, and production of black carbon (BC). This by-product of organic matter’s incomplete combustion is an important component of the global soil carbon pool. My thesis reveals how fire severity is related to BC chemical and physical properties and how it influences both soil organic carbon (SOC) and BC stocks in forest floors and mineral soils of fire-affected Quebec black spruce forests. This work also attempts to uncover BC storage mechanisms in mineral horizons. I collected BC samples produced by 2005–2007 wildfires, and compared them to laboratory-produced samples. As indicated by 13C NMR spectroscopy, elemental analysis, surface area analysis, and scanning electron microscopy, formation conditions – mostly maximum temperature – greatly affected BC properties, which in turn may determine its potential as a carbon sink. BC condensation increased with increasing fire severity, as shown by decreasing atomic H/C and O/C ratios. The fraction of aromatic carbon:total carbon of all these freshly-produced BC was low, suggesting that they may be susceptible to rapid physical alteration and chemical degradation. However, these BC were characteristic of early-season fires, which resulted in low temperatures (≤ 250 °C) and overall, low fire severity, in forest floors. Mineral horizons contained SOC stocks comparable to those in forest floors, but their BC stocks were significantly lower. In the fire sites I studied, forest floor’s BC stocks were mostly influenced by past severe fires, with the deepest layer containing most of the BC stocks. In mineral soils, SOC and BC concentrations were strongly correlated. To further explore the relationship between podzolization and BC storage mechanisms, I measured SOC and BC content in size and density fractions of podzolic B horizons. While some BC was found in unprotected particulate organic matter (POM), the rest was associated with organo-mineral and organo-metallic complexes in the micro-aggregate protected POM and fine fraction. Podzolization processes result in idiosyncratic patterns of SOC accumulation in the mineral subsoil; here I show that patterns of BC and SOC accumulation are similar, with the greater BC stocks being found in podzolic B horizons.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.994

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.151
Teacher spread0.146 · 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 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

Citations1
Published2013
Admission routes1
Has abstractyes

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