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Variações nos teores do C total e isotópico do solo após substituição do Cerrado em sistemas agrícolas no Triângulo Mineiro

2012· article· pt· W2011358483 on OpenAlexaff
Vânia Rosolen, Thalita Mendes Resende, Elias Nascentes Borges, Cristiane Tumang Frare, Henrique Amorim Machado

Bibliographic record

VenueSociedade & natureza · 2012
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsCarbon Engineering (Canada)
Fundersnot available
KeywordsAgricultural sciencePhysicsForestryHumanitiesEnvironmental scienceGeographyArt

Abstract

fetched live from OpenAlex

Os solos do Cerrado sofrem impactos resultantes da substituição da vegetação original em sistemas agrícolas traduzidos na forma de desequilíbrios nos estoques e natureza do carbono. A região do Triângulo Mineiro vem sendo intensamente desmatada por ser uma área pioneira de expansão do agronegócio e apresenta sérios problemas relacionados à erosão do solo. Esta pesquisa teve como objetivo avaliar as mudanças na quantidade (Ctotal) na natureza (δ13C) do carbono do solo após conversão do cerrado denso em áreas com diferentes usos agrícolas (pastagem, soja e rotação soja/milho), manejos (sistemas convencionais e plantio direto). Os resultados mostraram que as mudanças nos valores relacionados ao uso e manejo são determinados também pelas características texturais dos solos formados pela alteração de litotipos distintos. Dentre os diferentes usos e manejo, o maior enriquecimento da taxa de carbono foi determinado na área com soja/milho no sistema de plantio direto em solo argiloso e o maior empobrecimento em pastagens não manejadas em solos desenvolvidos da alteração do arenito das Formações Adamantina e Marília. Estes estudos são úteis para serem usados como indicadores de qualidade para a conservação ambiental.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.240
Teacher spread0.225 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2012
Admission routes1
Has abstractyes

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