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Record W4380988135 · doi:10.7717/peerj.15215

Diverse migration patterns and seasonal habitat use of Stone’s sheep (<i>Ovis dalli stonei</i>)

2023· article· en· W4380988135 on OpenAlexafffundabout
Grace E. Enns, Bill Jex, Mark S. Boyce

Bibliographic record

VenuePeerJ · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsGovernment of British ColumbiaUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaHabitat Conservation Trust FoundationWild Sheep Society of British ColumbiaUniversity of AlbertaFoundation for North American Wild Sheep
KeywordsOvisGeographyRange (aeronautics)Elevation (ballistics)Physical geographyAltitude (triangle)EcologyHabitatSpring (device)Biology

Abstract

fetched live from OpenAlex

We describe temporal and spatial patterns of seasonal space-use and migration by 16 GPS-collared Stone’s sheep ( Ovis dalli stonei ) from nine bands in the Cassiar Mountains of northern British Columbia, Canada. Our objectives were to identify the timing of spring and fall migrations, characterize summer and winter ranges, map and describe migration routes and use of stopover sites, and document altitudinal change across seasons. Our last objective was to assess individual migration strategies based on patterns of geographic migration, altitudinal migration, or residency. Median start and end dates of the spring migration were 12 and 17 Jun (range: 20 May to 05 Aug), and of the fall migration were 30 Aug and 22 Sep (range: 21 Aug to 07 Jan). The median area of winter and summer ranges for geographic migrants were 630.8 ha and 2,829.0 ha, respectively, with a broad range from about 233.6 to 10,196.2 ha. Individuals showed high fidelity to winter ranges over the limited duration of the study. The winter and summer ranges of most individuals ( n = 15) were at moderate to high elevations with a median summer elevation of 1,709 m (1,563–1,827 m) and 1,673 m (1,478–1,751 m) that varied &lt;150 m between ranges. Almost all collared females ( n = 14) exhibited changes in elevation use that coincide with abbreviated altitudinal migration. Specifically, these females descended to lower spring elevations from their winter range (Δ &gt; 150 m), and then gradually moved up to higher-elevation summer ranges (Δ &gt; 150 m). In the fall, they descended to lower elevations (Δ &gt; 100 m) before returning to their higher winter ranges. The median distance travelled along geographic migration routes was 16.3 km (range: 7.6–47.4 km). During the spring migration, most geographic migrants ( n = 8) used at least one stopover site (media n = 1.5, range: 0–4), while almost all migrants ( n = 11) used stopover sites more frequently in the fall (media n = 2.5, range: 0–6). Of the 13 migratory individuals that had at least one other collared individual in their band, most migrated at about the same time, occupied the same summer and winter ranges, used similar migration routes and stopover sites, and exhibited the same migration strategy. We found collared females exhibited four different migration strategies which mostly varied across bands. Migration strategies included long-distance geographic migrants ( n = 5), short-distance geographic migrants ( n = 5), vacillating migrants ( n = 2), and abbreviated altitudinal migrants ( n = 4). Different migratory strategies occurred within one band where one collared individual migrated and two did not. We conclude that female Stone’s sheep in the Cassiar Mountains displayed a diverse assemblage of seasonal habitat use and migratory behaviors. By delineating seasonal ranges, migration routes and stopover sites, we identify potential areas of priority that can help inform land-use planning and preserve the native migrations of Stone’s sheep in the region.

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 score0.010
Threshold uncertainty score0.561

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)0.0010.000

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 head0.025
GPT teacher head0.233
Teacher spread0.208 · 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

Citations10
Published2023
Admission routes3
Has abstractyes

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