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Record W6910983752 · doi:10.5167/uzh-233609

The Fate of Pyrogenic Carbon in Boreal Forest Soils

2022· article· en· W6910983752 on OpenAlexaboutno aff

Bibliographic record

VenueZurich Open Repository and Archive (University of Zurich) · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicScience and Climate Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSoil waterPermafrostSoil carbonCarbon fibersTaigaCarbon cycleVegetation (pathology)Total organic carbonDissolved organic carbon

Abstract

fetched live from OpenAlex

Wildfires are common in the circumpolar region and are expected to become more frequent with climate change. These fires lead to the formation of pyrogenic carbon (PyC) as a by-product of incomplete combustion of vegetation biomass. After PyC enters the soil, its more labile fractions get decomposed and mineralized on a relatively short timescale, but a relevant fraction of PyC is highly aromatic and condensed, thus more resistant to biotic and abiotic decomposition. These components can remain in the soil for millennia, finally compensating the wildfire carbon emissions and acting as an atmospheric carbon sink. Further, translocation, physical-chemical altering, and content of PyC in soils can be driven by soil texture, permafrost, and translocation due to steepness. The aim of this master’s thesis is to provide a detailed investigation of the main drivers controlling the translocation and physicalchemical altering of PyC stored in soil organic carbon fractions along two Canadian landscape gradients, one in the South Slave Lake Region, (AB and NWT) and one in the Inuvik Region (NWT). The applied methods comprehend soil organic carbon fractionation by size and density, diffuse reflectance infra-red Fourier transformation spectroscopy (DRIFT), chemothermal oxidation at 375 °C (CTO-375) and benzene polycarboxylic acids (BPCA) analysis. Results highlighted that soils from the Inuvik Region, which are affected by continuous permafrost conditions, lower pH, and greater clay content, store more SOC and PyC than soils from the South Slave Lake Region, which are affected by sporadic permafrost conditions and a pH > 6 due to carbonates. The higher SOC and PyC stocks and concentrations in the soils of the Inuvik Region were attributable to the continuous permafrost conditions and higher soil moisture content, which likely reduce the decomposition rate and bury soil organic matter at greatest depths through cryoturbation, protecting trapped soil organic carbon from physical and chemical alteration. Further, also DRIFT analysis suggests a higher potential SOC cycling in the South Slave Lake Region, for both the bulk samples and SOC fractions, because of the lower aliphatic/aromatic and cellulose/lignin ratios, despite no difference for the organic layer and the particulate organic matter fraction were found. Differences in SOC and PyC quantities along the landscape gradients only partially correlate with differences in steepness. Indeed, the homogeneous distribution of SOC and PyC in the South Slave Lake Region correlates with smooth differences in height between top and bottom of the catena and with the sporadic permafrost conditions, while the 50 m difference in height between top and bottom of the catena in the Inuvik Region, together with continuous permafrost conditions, likely cause a transport of SOC and PyC along the catena and in greater soil depths. The analysis of PyC quality at each landscape position and depth revealed that more physical-chemical altered PyC is not necessarily found at the bottom of the catenae, which is attributable to the protection of also more labile structures by permafrost. The proportion of SOC and PyC in soil fractions revealed a higher stability and resistance against decomposition in case of association with silt and clay, and sand and aggregates, whereas protection against decomposition was lower if SOC and PyC were found in association with particulate organic matter. Further, the association of soil carbon with specific fractions is attributable also to the soil texture, and thus to the extent to which each fraction contributes to the bulk soil. Thus, permafrost can be considered as the most relevant driver of both translocation and physical-chemical altering of PyC in boreal forest soils, while soil texture drives its association with specific soil fractions (all of which exhibit a different ability to stabilize carbon in soils), and differences in steepness only partially explain the translocation of PyC along landscape gradients.

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 score0.094
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.009
GPT teacher head0.194
Teacher spread0.186 · 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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