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Record W2009194517 · doi:10.17271/19800827932013612

IMPACTO AMBIENTAL EM UNIDADES DE CONSERVAÇÃO OCASIONADO POR ESPÉCIES EXÓTICAS

2013· article· pt· W2009194517 on OpenAlexaff
José Edimar Vieira Costa Júnior, Cláudia De Oliveira Gonçalves Nogueira, Luís Antônio Borges Coimbra

Bibliographic record

VenuePeriódico Eletrônico Fórum Ambiental da Alta Paulista. · 2013
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicBiological Control of Invasive Species
Canadian institutionsTransport Canada
Fundersnot available
KeywordsGeographyHumanitiesForestryArt

Abstract

fetched live from OpenAlex

Resumo: Espécies exóticas são aquelas espécies que se encontram fora de sua área de distribuição natural, ameaçando ecossistemas, habitats ou espécies, devido suas vantagens competitivas e favorecidas pela ausência de predadores e pela degradação dos ambientes naturais. Causando enormes prejuízos à economia, à biodiversidade e aos ecossistemas naturais, além dos riscos à saúde humana. A contaminação biológica por espécies se intensificou em tempos pré-industriais, quando as pessoas transportavam e cultivavam, longe dos locais de origem, plantas ornamentais, florestais e agrícolas. Esse processo cresceu com a globalização, com a ampliação das vias de transporte, mudanças no uso da terra e climáticas, propiciando a introdução e expansão das espécies exóticas invasoras. As Unidades de Conservação estão protegidas sob a Lei 9.985 de julho de 2000, onde em seu art. 31 torna-se proibida à introdução de espécies que não seja autóctone. Porém, o manejo efetivo de Unidades de Conservação precisa incluir um sistema permanente de prevenção e detecção precoce de espécies exóticas, assim como um bom diagnóstico de espécies já existente. Palavras-chave: Espécies Exóticas. Unidades de Conservação. Impacto 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), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient 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 score0.734
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.004

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 head0.030
GPT teacher head0.249
Teacher spread0.219 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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Same venuePeriódico Eletrônico Fórum Ambiental da Alta Paulista.Same topicBiological Control of Invasive SpeciesFrench-language works237,207