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Record W2288555591 · doi:10.2981/wlb.00138

Home range and habitat selection of the female eastern wild turkey at its northern range edge

2016· article· en· W2288555591 on OpenAlexafffundabout
Britney Niedzielski, Jeff Bowman

Bibliographic record

VenueWildlife Biology · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsMinistry of Natural Resources and ForestryTrent University
FundersOntario Ministry of Natural Resources and ForestryMinistry of Natural Resources
KeywordsHabitatRange (aeronautics)Home rangeGeographyFlockMeleagris gallopavoDeciduousPredationEcologySelection (genetic algorithm)Seasonal breederFisheryBiologyZoology

Abstract

fetched live from OpenAlex

In recent decades, the range of the eastern wild turkey Meleagris gallopavo silvestris has expanded north of its historical distribution in North America. The major limiting factors for wild turkeys beyond their historical range are not well understood, and little is known about turkey resource use at their new range periphery. We evaluated the home range size of female turkeys at their northern range edge in Ontario, Canada, and we took a hierarchical approach to assess habitat selection. To accomplish this, we analyzed data from 36 females fitted with VHF and GPS transmitters. Season had a significant effect on home range size, with the greatest home range sizes found in the spring and autumn, and the smallest in the winter and summer. There was also an effect of flock membership on winter home range size. We found evidence of habitat selection by turkeys at both the second order, placement of home ranges within the landscape, and the third order, use of habitat within home ranges. In both cases, female turkeys primarily selected deciduous forest and fields and avoided coniferous forest. Areas close to supplemental food sources were also selected during the autumn and winter. As populations expand into novel landscapes, continued efforts to understand resource limitation and habitat selection strategies of northern turkeys will guide effective management of these game birds.

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 score0.016
Threshold uncertainty score0.661

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 studies0.0000.001
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 head0.014
GPT teacher head0.223
Teacher spread0.209 · 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

Citations27
Published2016
Admission routes3
Has abstractyes

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