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Record W2324911416 · doi:10.2307/3536539

Migratory Patterns and Home Range Size of Moose in the Central Nass Valley, British Columbia

2003· article· en· W2324911416 on OpenAlexaboutno aff
Mike W. Demarchi

Bibliographic record

VenueNorthwestern Naturalist · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland and Wildlife Management
Canadian institutionsnot available
FundersNorthwestern University
KeywordsRange (aeronautics)GeographyHome rangePhysical geographyEcologyBiologyHabitatEngineering

Abstract

fetched live from OpenAlex

A radio telemetry study of 38 adult moose was conducted in the Nass Wildlife Area (NWA), British Columbia, from 1997 to 2000. At least 71% of the moose were migratory. Bulls and cows moved '75 km between 2 seasonal ranges within the NWA. Migration from winter to non-winter range during April to June (pre-calving) and return to winter range in December to January appeared to be in response to changes in snowpack. Migratory moose used ranges separated primarily by latitude or elevation. Moose occurred at elevations ranging from 200 to 1500 m (x = 400 m). Higher elevations were used during non-winter. Moose used areas throughout the NWA in non-winter, but concentrated their use in the south during winter. Mul- tiannual home range sizes of individual moose varied considerably, with a mean of 171 km2 (kernel-density method) and 262 km2 (minimum convex polygon method). Overall seasonal range size of collared moose was 594 km2 in winter (December through April) and 910 km2 in non-winter (June through November). Moose migrate across the Nass River at several key lo- cations. Information gained during this study is being used by the provincial government and the Nisga'a Lisims government to co-manage moose in the NWA.

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 score0.436
Threshold uncertainty score0.919

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 head0.005
GPT teacher head0.185
Teacher spread0.180 · 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

Citations9
Published2003
Admission routes1
Has abstractyes

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