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

2014· article· W7128523744 on OpenAlexvenueno aff
Tareefa S. Alsumaiti

Bibliographic record

VenueArab world geographer · 2014
Typearticle
Language
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsBasal areaBiomass (ecology)Diameter at breast heightCrown (dentistry)MangroveAvicennia marinaForest structureFloristics

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 m 2 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 AGB for all sites is 265.66 t ha −1 . Linear regression analysis reveals strong positive relationships among several variables, including height, DBH, basal area, crown spread, and AGB. Further studies are needed to monitor changes in the floristic structure of Avicennia marina over time.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.006
GPT teacher head0.249
Teacher spread0.243 · 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 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
Published2014
Admission routes1
Has abstractyes

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