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Record W7026677206

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)

2014· article· en· W7026677206 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIslandScholar (University of Prince Edward Island) · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFractal and DNA sequence analysis
Canadian institutionsnot available
Fundersnot available
KeywordsInvertebrateHabitatRiparian zoneSpring (device)Benthic zoneBiodiversityAgricultural landAbundance (ecology)Water qualityNutrient
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.186
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it