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Record W2197950005 · doi:10.1650/7626

ARE CURRENT CONTAMINANT CONCENTRATIONS IN EGGS AND BREEDING FEMALE LESSER SCAUP OF CONCERN?

2005· article· en· W2197950005 on OpenAlexaffabout
Glen A. Fox, Margaret C. MacCluskie, Rodney W. Brook

Bibliographic record

VenueOrnithological Applications · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsAythyaBiologyDreissenaCadmiumMercury (programming language)SeleniumAnimal scienceAnatidaeReproductionEcologyZoologyPolychlorinated biphenylToxicologyBivalviaMolluscaChemistryWaterfowl

Abstract

fetched live from OpenAlex

One of the proposed explanations for the recent continental decline in Lesser Scaup (Aythya affinis) populations is that females experience lower survival or reproduction resulting from exposure to contaminants in their diet of exotic bivalves during migration and over winter. In 1999, we collected eggs and females from five sites in the boreal forest of Canada and Alaska and four sites in Canadian parkland. We analyzed eggs from 60 clutches and ten nesting females for toxic metals, selenium, 19 pesticides and other organochlorines, and 43 polychlorinated biphenyl (PCB) congeners. The highest organochlorine concentration we measured was 1.5 μg g−1 ww of DDE in eggs. The highest mercury concentration was 1.8 μg g−1 dw in liver. The highest cadmium concentration was 6.2 μg g−1 dw in kidney. The highest selenium concentrations measured were 1.6 μg g−1 ww in eggs, and 5.3 μg g−1 dw in liver. All are well below thresholds known to cause embryotoxic and other effects in other bird species. Though sample sizes were small and did not include the entire breeding range or nonbreeders, our results provide no evidence to support the hypothesis of contaminant-induced effects on egg hatchability and female health. However, recently published concentrations of selenium in zebra mussels (Dreissena polymorpha) and Asian clams (Potamocorbula amurensis), predominant foods on staging areas, are sufficient to induce other sublethal effects, and possibly mortality if eaten by scaup for extended periods. ¿Son Preocupantes las Concentraciones Actuales de Contaminantes en los Huevos y Hembras Reproductivas de Aythya affinis? Resumen. Uno de los argumentos propuestos para explicar la disminución reciente de las poblaciones continentales de Aythya affinis es que como consecuencia de la exposición a contaminantes presentes en su dieta de bivalvos exóticos durante la migración y el invierno, la supervivencia o reproducción de las hembras es reducida. En 1999, colectamos huevos y hembras en cinco sitios ubicados en bosques boreales de Canada y Alaska y en cuatro sitios en parques canadienses. Analizamos los metales tóxicos, selenio, 19 pesticidas y otros organoclorados y 43 congéneres de bifenil policlorado (PCB). La concentración más alta de organoclorados que medimos fue de 1.5 μg g−1 (peso fresco) de DDE, en huevos. La concentración más alta de mercurio fue 1.8 μg g−1 (peso seco), en hígado. La concentración más alta de cadmio fue 6.2 μg g−1 (peso seco), en riñón. Las concentraciones de selenio más altas fueron 1.6 μg g−1 (peso fresco) en huevos y 5.3 μg g−1 (peso seco) en hígado. Todas estas medidas están por debajo de los niveles que causan efectos embriotó xicos y de otros tipos en otras especies de aves. Aunque los tamaños muestrales fueron pequeños y no incluyeron todo el rango de distribución reproductivo ni aves que no se estaban reproduciendo, nuestros resultados no proveen evidencia para apoyar la hipótesis de que existen efectos inducidos por los contaminantes sobre la capacidad de eclosionar de los huevos y la salud de las hembras. Sin embargo, las concentraciones de selenio en los bivalvos Dreissena polymorpha y Potamocorbula amurensis, alimentos predominantes en áreas de escala migratoria, son suficientes para inducir otros efectos no letales y posiblemente la muerte si son consumidos por A. affinis por períodos prolongados.

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.

How this classification was reachedexpand

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 score0.038
Threshold uncertainty score0.497

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 science0.0000.000
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 head0.062
GPT teacher head0.337
Teacher spread0.275 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations23
Published2005
Admission routes2
Has abstractyes

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