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Record W1036595079 · doi:10.29244/jitl.11.1.8-13

EMISI CO2 PADA KEBUN KELAPA SAWIT DI LAHAN GAMBUT: EVALUASI FLUKS CO2 DI DAERAH RIZOSFER DAN NON RIZOSFER

2019· article· en· W1036595079 on OpenAlexaff
Etik Puji Handayani, Komarudin Idris, Supiandi Sabiham, Sri Juniwati, Meine van Noordwijk

Bibliographic record

VenueJurnal Ilmu Tanah dan Lingkungan · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSoil respirationEnvironmental scienceRhizospherePeatCarbon dioxideTransectOrganic matterSoil carbonLitterSoil organic matterAgronomyChemistrySoil scienceSoil waterBiologyEcology

Abstract

fetched live from OpenAlex

Sources of CO2 from the soil include root respiration, decomposition of newly fallen aboveground litter and decomposition of old soil organic matter. Rhizosphere processes play a key role in soil respiration which is the main carbon efflux from peatland ecosystem to atmosphere. Plant rhizodeposits supply low-molecular weight carbon substrates to the soil microbial community, resulting in elevated levels of activity surrounding the root. We studied the effects of rhizosphere in oil palm plantation on the fluxes of CO2. Carbon dioxide emission flux of peatland was collected in Meulaboh, West Aceh using cylindrical chambers and analysis air samples of chamber by gas chromatograph. Five-point transects perpendicular to drainage canal provided variation in depth of water table for the samples. The data confirmed that The CO2 flux from rhizosphere chamber with additional roots was one to four times higher than from bulk soil chamber.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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