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Record W4205541132 · doi:10.12944/cwe.16.3.28

Variations in Vegetation and Nutrient Composition in Sal and Eucalyptus Stands: A Case Study of Bhagabatichak Forest Area, West Bengal, India

2021· article· en· W4205541132 on OpenAlexfundno aff
Tridib Kumar Sahoo

Bibliographic record

VenueCurrent World Environment · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsnot available
FundersTerry Fox Research Institute
KeywordsShorea robustaSpecies richnessMonsoonDiversity indexSpecies diversityForestryDominance (genetics)EucalyptusLantana camaraGeographyBotanyBiologyEcology

Abstract

fetched live from OpenAlex

The study was conducted on two type of stands one was coppice sal (Shorea robusta Gaertn. F.) stand (CSS) managed by Forest Protection Committee (FPC) along with the State Forest Department and other was coppice eucalyptus (Eucalyptus tereticornis Sm.) stand (CES) solely managed by the State Forest Department. These two stands are in the Bhagabatichak forest area under Midnapore East Forest Division, West Bengal, India. In this study Importance Value Index (IVI), biomass, species diversity index (H/), concentration of dominance(Cd), species richness index(d), beta diversity(βd), index of similarity (IS), nutrient composition and soil pH of the two stands were measured. The study reveals that the highest numbers of species were available during monsoon period in both the stands; these were 71 and 43 respectively in CSS and CES. The result also shows that the highest IVI was occupied by sal in CSS and eucalyptus in CES in all the seasons. Other major species were Clerodendrum viscosum Vent, Lantana camara L., Combretum roxburghii Spreng. Highest diversity index (H/) was in CSS during monsoon (1.983) and minimum in CES during pre-monsoon (1.274). So, the species richness index (d) was higher in CSS during monsoon (28.259) and lower in CES during pre-monsoon (12.112).Cd shows the opposite trend, it was higher in CES during pre-monsoon (0.125) and lower in CSS during monsoon (0.042). β diversity reflects the rate of species change, which was highest in CSS during post-monsoon (1.300). The similarity index (IS) between the two stands was 64.91%. The total annual above ground biomass (agb) were 87008.043 kg ha-1 yr-1 in CSS and 86309.837 kg ha-1 yr-1 in CES. Among them major contributors were sal (82357.946 kg ha-1 yr-1) in CSS and eucalyptus (84246.358 kg ha-1 yr-1) in CES. In both the stands higher amount of nutrients were available in Combretum roxburghii. In CSS available NPK were 1.272%, 0.527% and 1.867% respectively in Combretum roxburghii. In CES the values were 0.864%, 0.513% and 1.724% respectively for the same species. Soil pH of CSS were 5.53 in top soil and 5.79 in subsoil, in CES soil pH were 4.88 and 5.02 in top soil and subsoil respectively. It was observed that sal stand was better than eucalyptus stand with respect to ecology and biodiversity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.246
Teacher spread0.231 · 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.

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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