Zooplankton community dynamics in the Trent Seven Waterway along Lake Simcoe and Lake Couchiching
Bibliographic record
Abstract
The Trent Severn Waterway (TSW) is a 386km channel that connects Lake Ontario to Georgian Bay. There is a lack of information on the water quality in the nearshore region of the TSW specifically in regards to the planktonic communities. Zooplankton are key components of aquatic ecosystems since they graze on phytoplankton and are preyed upon by planktivorous fish. Therefore, changes to their community will have significant impacts to lower and upper trophic levels. The main objectives of this research are to (i) provide baseline data on zooplankton community dynamics in the nearshore region of the TSW; and (ii) determine if zooplankton can effectively be used as water quality indicators in this area. \nPlankton and limnologic data sampling occurred at eight nearshore sites in Lake Simcoe and Lake Couchiching along the TSW over ten months from 2015-2016. A deepwater transect in Lake Couchiching was sampled over three seasons at varying depths. Environmental variables were collected to indicate water quality and included temperature, dissolved oxygen, chlorophyll a, pH, conductivity, total suspended load and nutrients (nitrate and total phosphorous). This study demonstrated that nearshore regions of the TSW exhibit a range of environmental conditions, varying from mesotrophic (N = 25.12 ?g/L, TP = 10.83 ?g/L, CHL a = 1.58 mg/m3) to mesoeutrophic conditions (N = 78.92 ?g/L, TP = 31.31 ?g/L, CHL a = 13.29 mg/m3). \nAdditionally, zooplankton community composition exhibited significant variation spatially and temporally and water quality reflected the degree of anthropogenic disturbance. The highly disturbed sites (TR, LC, MB, PO) experienced higher nutrient concentrations, conductivity, zooplankton biomass and density with lower dissolved oxygen concentrations characteristic of degraded water quality. Zooplankton density ranged from 1.11x107 ? 1.43 x108/L among all sites. Biomass varied from 26.09 ? 221.16 ?g/L with richness varying from 6.2 ? 9.4. Diversity did not differ substantially (1.23 ? 1.69). RDA found some species level response to environmental variables although multiple regression explained more variance in the data. High abundance of Bosmina longirostris in highly disturbed sites indicates more eutrophic conditions which supports other research. Long term monitoring of zooplankton can provide baseline data that localized effects from specific anthropogenic stressors can be compared.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".