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Record W2954538220 · doi:10.5539/jas.v11n10p194

Natural Regeneration Under Influence of Sustainable Management Plan in Caatinga

2019· article· en· W2954538220 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and biological studies
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsSpecies richnessFloristicsBiomeRegeneration (biology)SustainabilityEcologyForestryGeographyAgroforestryBiologyEcosystem

Abstract

fetched live from OpenAlex

Despite being one of the most heterogeneous Brazilian biomes, regardless of being the least known, the Caatinga is under strong anthropism. In this way the forest management offers techniques that, when used, guarantees the maintenance of the sustainability of the productive system, sustainability that is guaranteed through the resilience of the regenerative stratum. Thus the objective of this work was to evaluate the effect of forest management on natural regeneration in a caatinga area, under different cutting ages. The study was developed in the settlement of the agrarian reform, Brandão III, located in the city of Cuité-PB. To evaluate the natural regeneration, 40 plots measuring 5 × 5 m (25 m2) were randomly allocated within the plots exploited and in the Legal Reserve. All individuals with Circumference at baseline (CNB) ≤ 6 cm and with a minimum height of 0.5m were measured, and distributed in three height classes. A C1: 0.5 m < H < 0.99 m; C2: 1.0 m ≤ H < 1.99 m and C3: H > 2.0 m. The data of density, richness and number of individuals by type of regeneration origin were compared by the Tukey test at 5% significance. We sampled 2021 individuals, represented by 32 species, 27 genera distributed in 16 families. The exploration did not cause significant changes to the floristic composition nor to the richness of the species. The exploration and the time elapsed between the cut and the measurement influenced the increase of the density.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.731
Threshold uncertainty score0.156

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.005
GPT teacher head0.188
Teacher spread0.183 · 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