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An Assessment of Avicennia marina Forest Structure and Aboveground Biomass in Eastern Mangrove Lagoon National Park, Abu Dhabi

2014· article· en· W2625875929 on OpenAlexvenueno aff
Tareefa S. Alsumaiti

Bibliographic record

VenueArab world geographer · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsBasal areaAvicennia marinaDiameter at breast heightMangroveBiomass (ecology)Crown (dentistry)ForestryPopulationGeographyRange (aeronautics)BiologyPopulation densityEcologyDemography

Abstract

fetched live from OpenAlex

This study reports on the population structure and aboveground biomass of Avicennia marina to better understand the status of this tree species. In situ data include 20 random circular plots and measurements recorded from 2 216 individual trees. Direct measurements include tree status, stem number, diameter at breast height (DBH), and height; derived measurements include density, basal area, average crown spread, plot height, mortality rate, and aboveground biomass (AGB). The results show significant variations in density between the sampling plots, which have a total basal area of 20.58 m2 ha−1. Basal area mortality rate is very low (0.2 %), which indicates a healthy forest. The frequency distribution for tree height is positively skewed, meaning that these plots contain many small and few large trees. The distribution of DBH and average crown spread follows a reverse-J-shaped pattern, which is typical of naturally regenerating forests with a high population of seedlings and saplings. Finally, estimated ...

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.244
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2014
Admission routes1
Has abstractyes

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