Fixed‐station monitoring of a harbour wall community: the utility of low‐cost photomosaics and scuba on hard‐substrata
Bibliographic record
Abstract
ABSTRACT In marine temperate waters, the diverse epibenthic communities of hard substrata require robust, efficient, high‐resolution methods to better understand community dynamics and biological processes, such as growth, recruitment and mortality that drive changes within communities. The epibenthic community of a harbour wall was monitored from fixed stations over three seasons in 2009 to evaluate the utility of a high‐resolution photomosaic method. The community was described by visually estimating cover and abundance of taxa within the photomosaics. In addition, areas occupied by the solitary cup coral Caryophyllia smithii, the encrusting sponge Hymeniacidon perleve, and the red macroalga Plocamium cartilagineum were digitized and their seasonal growth, recruitment and mortality estimated over the study period. Significant changes occurred to the community in every season. The fewest number of taxa and the lowest total taxa cover was observed in the winter. In the spring, there was significant growth of red macroalgae, brown macroalgae, and ascidian taxa. In the summer there was significant growth of green macroalgae and turf taxa, while red macroalgae experienced photoinhibition, and ascidians significantly declined in abundance. The photomosaics enabled the extraction of data at a high taxonomic resolution, reduced the effects of water‐column turbidity, and through digitization, enabled estimation of the seasonal growth, recruitment, and mortality of C. smithii, H. perleve and P. cartilagineum. However, the spring and summer canopies of macroalgae and turf obscured the detection of many understory taxa, and thus, limited the accuracy of understorey assessments. Provided the limitations of photomosaics are recognized, the method demonstrated in this study has many potential benefits of advantage for fixed‐station monitoring studies in temperate waters. Copyright © 2011 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".