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Record W7046850955

Effects of land reclamation on organic matter decomposition at smelter impacted hill slopes

2020· dissertation· en· W7046850955 on OpenAlexfundaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2020
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLand reclamationLitterErosionOrganic matterEcosystemHydrology (agriculture)Soil organic matterTopsoil
DOInot available

Abstract

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Mining, smelting and forest harvest led to severe environmental disturbances across Sudbury region, resulting in extensive forest cover loss, soil erosion and contamination with acids and metals. Regreening efforts began in 1978, by liming, fertilizing and tree planting. However little work has been done to assess the influence of reclamation practices on soil processes and functioning in these industrially damaged landscapes. In particular there is a lack of such information for hillslopes and other challenging sites. In view of this, the present study examined the effects of land reclamation on key ecosystem processes such as litter decomposition and soil respiration (CO2) and CH4 and N2O fluxes and the ecological controls that regulate these processes. The study was conducted along two parallel transects, one within a barren area and the other within a regreened area at a steep hillslope within the Kelly lake watershed, a study site a few kms of the Copper Cliff smelter in Sudbury. Traditional litter bag decomposition studies are time consuming, expensive, and lack standardization of litter quality. I therefore used a new Tea Bag Index methodology to measure early stage decomposition with two contrasting standardized substrates (Green and Rooibos tea). Tea bag Index parameters were used to quantify the rate at which standardized litter is broken down (decomposition rate index (k)) and to measure the undecomposed residual substrate in the soil (stabilization factor (S)) which has a potential for sequestration. The results revealed that decomposition of Green tea (labile substrate) was twice as fast as Rooibos tea (recalcitrant substrate) in both the reclaimed and barren areas. I found that at reclaimed areas the average Green tea mass loss rates (1.37 ± 0.01 (SE) gm), CO2 production rates (98.84 ± 5.46 (SE) mg m-2 h-1), CH4 consumption rates (- 0.0104 ± 0.00 (SE) µg m-2 h-1 ) were statistically higher than at barren areas, where the average Green tea mass loss were (1.25 ± 0.01 (SE) gm), CO2 production rates were (33.79 ± 2.26 (SE) mg m-2 h-1 ) and CH4 flux rates were (0.0014 ± 0.001 (SE) µg m-2 h-1) respectively. Average Rooibos tea mass loss on the other hand showed no significant differences occurred between reclaimed areas (0.69 ± 0.02 (SE) gm) and at barren areas (0.64 ± 0.02 (SE) gm). N2O flux rates also did not differ significantly between reclaimed (-0.01048 ± 0.0006 (SE) µg m-2 h-1) and barren areas and (-0.00073 ± 0.000452 (SE) µg m-2 h-1). However, when the combined substrate measure of decomposition rate index (k) was compared, there was no significant differences between the reclaimed area soils (0.012 ± 0.001 (SE) g·g-1·day-1) and the still barren untreated soils (0.013 ± 0.001 (SE) g·g-1·day-1). Only the Stabilization factor (S) proved to significantly different with a higher value for the barren soil (0.16 ± 0.009 (SE) g g-1 ) than the reclaimed soil (0.09 ± 0.006 (SE) g g-1) suggesting that the barren areas had slower decomposition resulting in a greater potential for accumulation of undecomposed organic matter in the soil. All soils tested proved to be sources of carbon dioxide. The reclaimed areas appeared to be small sinks for methane and nitrous oxide, whereas at barren areas results were less consistent and the soils appeared as likely to emit or consume methane and nitrous oxide fluxes My main finding was that land reclamation enhanced decomposition of labile substrates CO2 production rates and CH4 consumption rates but decomposition rate index (k) and soil respiration rates (CO2) and CH4, and N2O fluxes were still very low compared to other less disturbed ecosystems. Stepwise multiple regression analysis revealed that decomposition of Green tea (labile substrate) was most likely influenced by microclimatic factors (i.e. moisture) and that decomposition and soil respiration (CO2 production rates) decreased with increasing temperature at barren areas. Topography (i.e. elevation(m)) had little or no effect on carbon turnover rates across the study sites. In conclusion, land reclamation influenced key ecosystem processes such as decomposition of labile organic matter and soil respiration, but even after 37 years post-treatment, Sudbury soils in these hillslope sites were shown to be still under severe environmental stress.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.304

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)0.0010.000

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 head0.004
GPT teacher head0.212
Teacher spread0.208 · 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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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