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Record W4322007828 · doi:10.1002/jwmg.22383

Canada lynx occupancy and density in Glacier National Park

2023· article· en· W4322007828 on OpenAlexaboutno aff
Alissa K. Anderson, John S. Waller, Daniel H. Thornton

Bibliographic record

VenueJournal of Wildlife Management · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
FundersNational Institute of Food and AgricultureU.S. Department of Agriculture
KeywordsOccupancyNational parkThreatened speciesGeographyEndangered speciesRange (aeronautics)EcologyAbundance (ecology)PopulationPhysical geographyHabitatBiologyArchaeologyDemography

Abstract

fetched live from OpenAlex

Abstract Protected areas are the cornerstone of conservation strategies for threatened and endangered species. Because protected areas often are insulated from many anthropogenic threats, and contain substantial topographic relief, they may be particularly important as climatic refugia for cold‐adapted, at‐risk species. Canada lynx ( Lynx canadensis ) are a cold‐adapted, threatened species, and reach the southern limits of their distribution in the contiguous United States, where they exist in several disjunct populations largely on multiple‐use lands (e.g., national forests). Glacier National Park (GNP) is one of the few, large, protected areas located within Canada lynx range in the contiguous United States, and therefore a potentially important lynx stronghold within the Northern Rockies lynx recovery unit. Despite its potential importance, knowledge of lynx populations within the park is extremely limited. We completed a park‐wide occupancy survey of lynx using an array of motion‐sensitive cameras during summers in 2018–2021. Within a smaller area of the park, we also estimated lynx density by identifying individuals from subtle markings on the inside of the front leg and employing spatially explicit capture‐recapture analysis. Finally, we linked park‐wide predictions of occupancy with local density to estimate lynx population size across GNP. Lynx were distributed across much of the park in summer and occupancy was influenced by a combination of snowshoe hare ( Lepus americanus ) relative abundance, forest associations, climate, and fire. We were able to successfully identify approximately 75% of lynx captures to individual based on coat markings. Although average park‐wide lynx density was low (1.28/100 km 2 ) compared to populations in the core of the range, park‐wide abundance was substantial for this threatened predator (52; 95% CI = 30–92). Based on our results, we propose that GNP should be considered as a potentially important area for lynx habitat refugia in a warming climate. Moreover, our ability to rapidly assess distribution and density using camera deployments in summer could be useful for long‐term monitoring and recovery assessment.

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)0.001
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 score0.118
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.010
GPT teacher head0.216
Teacher spread0.206 · 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

Citations9
Published2023
Admission routes1
Has abstractyes

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