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Record W7161832781 · doi:10.82308/45869

Sharp-tailed grouse «Tympanuchus phasianellus» in a resource development area at the northern edge of the species' range

2020· dissertation· en· W7161832781 on OpenAlexaboutno aff
Joël Potié

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatGrouseNest (protein structural motif)BroodAvian clutch sizeUnderstoryRange (aeronautics)ShrubPopulationVegetation (pathology)

Abstract

fetched live from OpenAlex

The reproductive phenology and habitat requirements of sharp-tailed grouse (Tympanuchus phasianellus) are not well understood. Northern populations of sharp-tailed grouse (STGR) belonging to the Tympanuchus phasianellus caurus subspecies are particularly under-studied. Although the caurus subspecies is thought to be stable, beyond anecdotal sightings, little is known regarding STGR status or habitat requirements and tolerance to disturbance in the northern parts of its range. The present study focuses on a STGR population located in North-Central Yukon in and around the Klondike Goldfields. Female STGR were fitted with radio transmitters and monitored during the reproductive period over three study years (2015-2017) to quantify habitat use around identified lek sites during the nesting and brood-rearing periods, analyze the habitat selection of nesting and brood-rearing hens, and assess habitat effects on hatching and fledgling success. Among 41 radio-collared hens, nearly all attempted to nest (96.4% ± 2.5) and clutch size averaged 8.3 ± 2.1. Overall apparent nest success for all nests was 76.4% ± 1.9 (n = 39). Nest sites were situated where a shrub layer provided vertical cover and abundant bunchgrass understory provided horizontal cover. Survival was higher for early hatching nests in sites with fewer hummocks than later hatch nests with many hummocks. Brood rearing hens selected for habitats with mesic vegetation such as scrub birch and sedges, but also showed a preference for sites classified as dry rather than wet. Brood failure occurred less often within low elevation, sloping sites with abundant deadfall cover and more often within sites on south and east facing slopes with less deadfall. During both the nesting and brood rearing periods, hens did not select for shrub dominated sites equally; those with shrubs less than 2m in height were preferred over taller shrubs and avoidance increased as the successional stage progressed to maturing forest. Home range sizes (163.0 ± 52.9 ha, using 95% kernel density) were larger and distances traveled from the nest site to brood rearing habitat (1119.2 ± 187.9 m) were longer than previously described for STGR and other prairie grouse. Hen survival in the Klondike Goldfields during the reproductive period was 64.2% ± 6.2 (n = 70), with most mortality occurring during egg laying and incubation. The current research has helped advance our understanding of the phenological events, space use and habitat selection of an isolated populations of a lekking bird species in a resource development region, and characterize the importance, scale, and inter-relatedness of three major impacts - mining activity, fire history, and predators – on STGR survival and reproductive success in the Klondike Goldfields

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.022
GPT teacher head0.222
Teacher spread0.200 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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