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Record W2496801759

REPRODUCTIVE OUTPUT OF BLACK DUCKS IN THE

2016· article· en· W2496801759 on OpenAlexaboutno aff
Austin Reed

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsNest (protein structural motif)PredationWaterfowlAnasHatchingEcologyAvian clutch sizeBiologyReproductive successNesting seasonGeographyFisheryHabitatReproductionPopulationDemography
DOInot available

Abstract

fetched live from OpenAlex

The breeding biology of black ducks (Anas rubripes) was studied in an estuarine habitat over the period 1963-73. Nests were located on islands and on the mainland in the vicinity of tidal marshes. Of 590 nests, 248 (42 percent) reached the hatching stage; the mainland-nesting portion of the popu- lation showed a nest success of 28 percent (N = 83 nests), those using the main nesting island, Ile- aux-Pommes, 44 percent (N = 478 nests), and those using other islands 52 percent (N = 29 nests). On Ile-aux-Pommes annual nest success varied between 30 and 71 percent. Unsuccessful clutches were lost to predation (mainly gull (Larus sp.) and crow (Corvus brachyrhynchos) on islands, red fox (Vulpes fulva) and crow on mainland) or desertion. Fifty-two nests (9 percent of total) were judged to have been abandoned as a direct result of disturbance by the investigator. Annual fluctuations in nesting success could not be clearly attributed to weather factors, the quantity or quality of concealing cover, or to predator or competitor density. Nesting success did not vary according to laying date, but did vary in relation to the stage of nesting; the probability of loss was much greater during egg-laying than during incubation. Through renesting, nest losses were compensated for in some years but not in others. On the average, 65 percent of island nesting pairs brought off broods. Using capture-recapture tech- niques and visual observation, I estimated that 55 percent of all broods produced flying young, and 34 percent of ducklings that hatched reached flight age. On the basis of these estimates, 100 breeding pairs would produce 183 fledged young, a rate much lower than reported for this species in other studies; the discrepancy of results is attributed mainly to losses of entire broods which were unaccounted for in other studies. J. WILDL. MANAGE. 39(2):243-255 To manage animal populations with the aim of assuring a harvestable surplus, knowledge of the species' reproductive out- put (rate of production of fledged young) is essential. Attempts to modify waterfowl habitat to favor increased production of young should be aimed at minimizing the effects of those factors which cause most prefledge losses. Detailed knowledge of the stages at which losses occur and the circumstances in which they occur should form the basis for attempts to preserve or modify habitat and to manipulate predator or competitor populations. Both nesting and brood-rearing phases of the breeding cycle must be considered. This paper, based on the results of 11 years' study of the black duck in the St. Lawrence estuary, Quebec, attempts to evaluate the rate of production of fledged young per nesting female. Intensive hunting of the relatively small population of black ducks in eastern North

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.999
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.017
GPT teacher head0.238
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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