Influência da temperatura no diâmetro e na estabilidade de agregados em Chernossolo, Saskatchewan, Canadá Temperature effect on aggregate diameter and stability in a Chernozem from Saskatchewan, Canada
Bibliographic record
Abstract
O papel do fogo nos processos ambientais é amplamente reportado nos diversos ecossistemas da Terra. O fogo influencia diversos processos ambientais no solo (e.g. infiltração, erodibilidade, dinâmica de matéria orgânica etc.). Os objetivos deste ensaio realizado em laboratório foram: 1) verificar o efeito da temperatura na estabilidade de agregados em Chernossolo de ambiente temperado; 2) avaliar dois procedimentos para se detectar tal efeito nos agregados do solo (i.e. peneiramento seco e peneiramento submerso em água); 3) aplicar diferentes índices para mensurar possíveis mudanças na distribuição e na estabilidade de agregados (diâmetro médio, diâmetro médio geométrico e estabilidade de agregados em porcentagem). As amostras foram aquecidas em Forno Mufla, sendo submetidas aos seguintes tratamentos: controle (temperatura ambiente), 200 oC e 300 oC por 20 minutos e 580 oC durante 10 minutos. O solo foi afetado pelas diferentes temperaturas aplicadas. Na temperatura de 200 oC, verificou-se diminuição no diâmetro médio, no diâmetro médio geométrico e na estabilidade de agregados do solo. Os agregados de 2,8 mm foram os mais influenciados por esta temperatura. De modo contrário, a temperatura de 580 oC causou aumento nos referidos índices. A temperatura de 300 oC causou resposta intermediária em comparação as demais temperaturas. O peneiramento submerso em água foi a técnica mais eficiente na detecção do efeito da temperatura no solo. The role of fire on environmental processes is widely reported in several Earth ecosystems. Fire affects environmental processes (e.g. infiltration, erodibility, organic matter dynamic etc.). The objectives of this laboratory study were: 1) to establish the effect of temperature on aggregate stability in a Chernozem soil from a temperate environment; 2) to evaluate two procedures to detect such effects on soil aggregates (i.e. dry and wet sieving); 3) to use different indexes to measure possible changes in aggregate distribution and stability (mean weight diameter, geometric mean diameter and aggregate stability). The samples were heated in a muffle furnace, and subjected to the following treatments: control (room temperature), 200 oC and 300 oC for 20 minutes and 580 oC for 10 minutes. The Chernozem soil was affected by the different temperatures. At 200 ºC, there was a decrease in the geometric mean diameter, mean weight diameter and the soil aggregate stability. Aggregates of 2.8 mm were most influenced by this temperature. On the other hand, the 580 °C temperature caused an increase in these indexes. The 300 °C temperature caused intermediate response compared to other temperatures. The wet sieving was the most efficient technique to detect the temperature effects on soil.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".