Agricultural land use impacts\non cool-spring flora and fauna, with an emphasis on freshwater invertebrate diversity and\nphenology in spring pools of eastern Prince Edward Island (Canada)
Bibliographic record
Abstract
Freshwater springs are focused discharge points from groundwater to surface water\nenvironments. Cool springs have consistent temperatures close to the mean annual\ntemperature for the region and chemical composition that can vary with land use and local\ngeology. Animal taxa inhabiting these springs must be able to tolerate nearly constant cool\ntemperatures (<10oC), so springs usually have lower numbers of species than reported in\nnearby surface waters. Agricultural activities adjacent to springs add nutrients to\ngroundwater, and alter benthic sediment structure and adjacent riparian areas, all factors that\naffect populations of freshwater plants and invertebrates. High nutrients should increase\ninvertebrate abundance, but habitat alterations such as sediment addition may depress\nabundance. Increased food availability can also affect growth and life history patterns such as\ninsect emergence timing, which can be disrupted in cool springs due to lack of temperature\ncues to synchronize development. Agricultural impacts on springs were examined by\ncomparing water quality and invertebrate community structure in rheo-limnocrene springs in\nforested and agricultural areas in Prince Edward Island, Canada. Twenty springs (10\nsurrounded by agricultural land and 10 forested) were monitored for water quality and nine\nof these (five agricultural and 4 forested) were further examined to explore invertebrate and\naquatic plant patterns. Agricultural sites had open canopies, high nitrogen and sulphur levels,\nhigh amounts of fine sediment, and plant cover dominated by vascular plants. Forested sites\nhad closed canopies, low nutrient levels, clean gravel substrates, and plant cover dominated\nby bryophytes. Invertebrate diversity and abundance were highest in forested springs and\ncommunity structure differed between land-use types. Midges (Chironomidae) dominated the\nmacroinvertebrate community in all sites, but several midge and mite (Hydrachnidiae) genera were most abundant in forested sites. Mayflies (Ephemeroptera) were very rare in the\nsprings, but stoneflies (Plecoptera) and caddisflies (Trichoptera) were most abundant and\ndiverse in agricultural sites. Emergence timing was compared between agricultural and\nforested sites for the stoneflies, and although most showed the asynchronous emergence\nperiods expected for constant temperature sites, at least two species began to emerge earlier\nin agricultural sites than forested ones. Reduction of the riparian canopy leading to increased\nlight levels from open cover was a better predictor of plant and invertebrate species\nassemblages than either nutrients or sediment patterns in agriculturally impacted springs; the\nhigher light levels increased the presence and cover of vascular vegetation which altered the\noverall invertebrate community.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".