UNDERUTILIZED TOOLS: SEAWEEDS AS BIOREMEDIATION AND DIVERSIFICATION TOOLS AND BIOINDICATORS FOR INTE‐GRATED AQUACULTURE AND COASTAL MANAGEMENT
Bibliographic record
Abstract
Chopin, T.1, Yarish, C.2, Neefus, C.3, Kraemer, G. P.4, Belyea, E.1, Carmona, R.2, Saunders, G. W.5, Bates, C.5, Page, F.6 & Dowd, M.6 1University of New Brunswick, Centre for Coastal Studies and Aquaculture and Centre for Environmental and Molecular Algal Research, P.O. Box 5050, Saint John, New Brunswick, E2L 4L5, Canada; 2University of Connecticut, Department of Ecology and Evolutionary Biology, 1 University Place, Stamford, Connecticut, 06901‐2315, USA; 3University of New Hampshire, Department of Plant Biology, Office of Biometrics, G32 Spaulding Life Science Center, Durham, New Hampshire, 03824, USA; 4State University of New York, Purchase College, Division of Natural Sciences, Purchase, New York, 10577, USA; 5University of New Brunswick, Centre for Environmental and Molecular Algal Research, P.O. Box 4400, Fredericton, New Brunswick, E3B 5A3, Canada; 6Department of Fisheries and Oceans, Biological Station, 531 Brandy Cove Road, St. Andrews, New Brunswick, E5B 2L9, Canada On a regional scale, finfish aquaculture can be one of the significant contributors to coastal nutrification. Contrary to common belief, even in regions of exceptional tidal and apparent “flushing” regimes like the Bay of Fundy, water mixing and transport may be limited and water residency time can be locally prolonged. Hence, nutrient bio‐availability remains significant for a relatively long period of time in some areas. Understanding the assimilative capacity of coastal ecosystems under cumulative pressure, then, becomes critical. To avoid pronounced shifts in coastal processes, conversion, not dilution, is the solution by integrating fed aquaculture (finfish) with organic and inorganic extractive aquaculture (shellfish and seaweed) so that the “ wastes” of one resource user become a resource for the others. Such a bioremediative approach provides mutual benefits to co‐cultured organisms, and economic diversification and increased profitability per cultivation unit for the aquaculture industry. These concepts will be discussed and illustrated by the results of our on‐going projects and we will demonstrate that seaweeds can also be excellent bio‐indicators of nutrification/eutrophication revealing symptoms of environmental stress and measuring the zone of influence of an aquaculture site. The aquaculture industry is here to stay in our “coastal scape”: it has its place in the global seafood supply and demand, and in the economy of coastal communities. To help ensure its sustainability, it needs, however, to responsibly change its too often monotrophic practices by adopting polytrophic ones to become better integrated into a broader coastal management framework.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".