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Record W4323317486 · doi:10.1002/jwmg.22386

Male elk survival, vulnerability, and antler size in a transboundary and partially migratory population

2023· article· en· W4323317486 on OpenAlexafffundabout
Hans Martin, Mark Hebblewhite, Anne Hubbs, Rob Corrigan, Evelyn H. Merrill

Bibliographic record

VenueJournal of Wildlife Management · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsUniversity of AlbertaAlberta Environment and Protected Areas
FundersNatural Sciences and Engineering Research Council of CanadaParks CanadaRocky Mountain Elk FoundationAlberta Environment and ParksSafari Club International FoundationAlberta Conservation Association
KeywordsAntlerPredationBiologyWildlifeCanisPopulationForageEcologyUngulateDemographyGeographyHabitat

Abstract

fetched live from OpenAlex

Abstract Migration is a behavioral strategy used by many ungulates to access resources and avoid predation in heterogenous landscapes. If migratory individuals access higher quality forage and avoid predation, then they should attain greater fitness. Migration can also expose individuals following distinct migratory tactics to differential mortality and harvest. We investigated how transboundary migration affected male elk ( Cervus canadensis ) survival and antler size when subjected to harvest with different antler point restrictions (APRs) and year‐round harvest by treaty First Nations in a multi‐carnivore system in Alberta, Canada. We measured antler size and age for 35 unmarked, harvested male elk and 90 global positioning system (GPS)‐collared adult male elk. We also estimated radio‐collared elk survival and cause‐specific mortality (105 elk‐years) from 2018 to 2020. Antler size increased as a non‐linear function of age and exposure to high quality forage for migrants. The biological effect size of exposure to higher quality forage (i.e., lower biomass) obtained by migrants was variable but biologically equivalent to the antler size difference (i.e., 33–54 cm) predicted between 5‐ and 6‐year‐old male elk. Annual mortality rate was 0.304 and the primary cause of death was hunting (cumulative incidence functions [CIF] mortality rate = 0.203, n = 33 mortalities) of which a third was by First Nations treaty harvest (CIF = 0.101, n = 12). Non‐human‐caused mortality was rare (CIF = 0.015); only 2 males died because of predation by wolves ( Canis lupus ). Six‐point APRs resulted in lower annual survival rates ( S = 0.42) for male elk with ≥6 antler points, which were usually >4 years of age. Harvest risk increased by 20% for every 1‐km closer to an access road. Elk harvested by licensed recreational or First Nations hunters were similar with respect to male elk age, antler size, date, and location. There was very little evidence that multiple species of large carnivores influenced male elk survival. These results indicate forage quality and vulnerability to harvest by humans influence male elk age structure, and hence antler size, of transboundary and partially migratory populations, even in carnivore‐rich complex systems.

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 score0.028
Threshold uncertainty score0.055

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 head0.013
GPT teacher head0.241
Teacher spread0.228 · 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

Citations4
Published2023
Admission routes3
Has abstractyes

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