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Record W3208158118 · doi:10.5281/zenodo.8296484

Aboveground biomass and carbon stock of Buho (Schizostachyum lumampao (Blanco) Merrill) in Cuyambay, Tanay, Rizal

2021· article· en· W3208158118 on OpenAlexaff
Heide De Guzman, Arvin P. Vallesteros, Jayson Caranza, Yolina Castaneto

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBamboo properties and applications
Canadian institutionsTransport Canada
Fundersnot available
KeywordsCarbon stockAllometryDiameter at breast heightBiomass (ecology)Tree allometryEnvironmental scienceForestryStock (firearms)AgronomyMathematicsBotanyAnimal scienceGeographyBiologyEcologyBiomass partitioningClimate change

Abstract

fetched live from OpenAlex

This study aimed to quantify the aboveground biomass and carbon stock of Buho (<em>Schizostachyum lumampao</em>) in Cuyambay, Tanay, Rizal, Philippines, and develop allometric equations for predicting aboveground biomass. Ten plots (5 m x 5 m) in an elevation ranging from 419-460 meters above sea level (masl) that contained one group of clumping bamboos were randomly established. Three culms were harvested from each clump for a total of thirty culms. The Buho in Sitio Tablon had a mean height (H) of 8.37 m, diameter at breast height (DBH) of 6.46 cm and thickness at breast height (TBH) of 6.05 mm. The mean aboveground biomass and carbon stock densities were 74.19 ton∙ha<sup>–1</sup> and 31.35 ton∙ha<sup>–1</sup>, respectively. The culm had the highest contribution to aboveground biomass and carbon stock density, followed by the branches, then the leaves. These results demonstrate the potential of Buho to store atmospheric carbon at a level comparable to that of other tree plantation species. Allometric regression revealed that 70.0% of the variance in culm biomass can be explained by DBH<sup>2</sup>H.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.219
Teacher spread0.186 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2021
Admission routes1
Has abstractyes

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