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Record W2029525004 · doi:10.5376/ijms.2014.04.0042

Does Primary Productivity Affect Benthic Macroinvertebrate Abundance and Diversity in Estuarine Ecosystem? A Case Study in Lagos Lagoon, Nigeria

2014· article· en· W2029525004 on OpenAlexvenueno aff
R.E. Uwadiae

Bibliographic record

VenueInternational Journal of Marine Science · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Biodiversity
Canadian institutionsnot available
Fundersnot available
KeywordsBenthic zoneAbundance (ecology)ProductivityEstuaryAffect (linguistics)Primary productivityEnvironmental scienceEcosystemDiversity (politics)EcologyFisheryOceanographyGeographyBiologyGeology

Abstract

fetched live from OpenAlex

Whether the level of primary productivity as expressed in the concentration of chlorophyll a (chl a ) in water and sediment affect the abundance and diversity of benthic macroinvertebrates in an estuarine ecosystem was investigated using data generated from a six month study in the Lagos Lagoon, Nigeria. Overall trends in physical variables were relatively inconsistent for study sites. Water transparency varied between 3 – 32 cm with highest and lowest values recorded in stations 1 and 3 respectively. Turbidity values varied inversely as transparency and directly with depth. Values were lowest in station 1 and highest in station 3. Two major macroinvertebrate groups (Annelida and Mollusca) made up of eight species were identified from a total density of 7820 ind/m 2 . Mollusca were the most abundant group with a density of 7800 ind/m 2 and accounted for 99.7 % of the total macroinvertebrate density. Significant difference (ANOVA, F = 8.282, p > 0.05) was observed in the density of benthic macroinvertebrate recorded in study stations. Of the eight species recorded, six occurred in all the study stations while the remaining two species were limited to station 1 (for Neritina glabarata ) and stations 1 and 2 (for Nereis lamellose ). Generally, values of chl a were higher in water samples than in sediment. The concentrations of chl a in water during the study months were significantly different (ANOVA, F = 8.883, p 0.05) during the sampling months with values highest in the month of March.. Relatively higher values of chl a in sediment was recorded in station 2. There was significant and positive correlation between macroinvertebrate density ( r s = 1; p 0.01), diversity ( r s = 0.45; p > 0.01) and chl a in sediment. Transparency of water correlated positively and significantly with chl a in sediment ( r s = 1; p < 0.01) and water ( r s = 0.8; p < 0.01). Turbidity and depth of water related negatively but significantly with chl a in water and sediment. Results obtained in this study suggest that primary production may influence benthic macroinvertebrate abundance and diversity in estuarine ecosystems.

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)0.004
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 score0.051
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.003
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 head0.010
GPT teacher head0.235
Teacher spread0.225 · 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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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