Comparing historical and contemporary macrofaunal communities and functional traits in a subarctic embayment in Newfoundland, Canada
Bibliographic record
Abstract
Studies examining biological communities in relation to environmental factors over time are essential for understanding natural sources of community variation (i.e., structure and function), as well as their response to stressors. Benthic macrofauna are important biological indicators used to assess environmental quality in marine ecosystems. Placentia Bay is a large subarctic embayment on the southeast coast of Newfoundland (NL) that has been identified as an Ecologically and Biologically Significant Area (EBSA) that is exposed to anthropogenic stressors (e.g., fisheries and hazardous substances). The overarching aim of my thesis research was to assess the influence of various environmental factors on the community structure and functional traits of macrofauna in Placentia Bay using contemporary and historical biological and environmental data. Comparison of macrofauna at 8 stations sampled in 1998 and 2019–2020 (n=77) showed significant temporal changes in community structure and function, without loss of function (i.e., 36 morphological/behavioral modalities). The historical community had significantly higher densities, but lower evenness and diversity compared to contemporary years. Macrofauna were dominated by highly tolerant (82.3%) subsurface deposit feeders (62.1%) having small body sizes, whereas contemporary communities had a higher proportion of medium tolerant species/taxa (7.2 vs. 36.7%) and nearly equal proportions of subsurface and surface deposit feeders (26.7 and 29.1%) with small-medium body sizes. These changes are likely a reflection of the large reduction in the relative proportion of polychaetes (91 vs. 58%). Community patterns were related to the sedimentary habit. Sediments have become coarser with higher levels of sedimentary total organic matter in the contemporary compared to the historical years. Interestingly, while grain size has also become coarser between 2019 and 2020 communities were similar. Moreover, even though contaminants (examined in 2020 only) were not above probable biological effect levels, depth and heavy metal concentrations were most correlated to macrofaunal community structure among different areas in the bay. This research indicates the need for studies specifically designed to better quantify temporal changes in total organic carbon and heavy metals in relation to potential anthropogenic sources and effects on macrofauna in the bay. It is recommended that total organic carbon and C/N ratios (indicator of food quality/source) are continuously monitored to examine how their levels change over time and the possible source(s) of enrichment. Additionally, as development continues in coastal regions such as Placentia Bay future studies examining acceptable contaminant levels and possible biological outcomes are needed.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".