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North American barren-ground caribou cycles are driven by logistic trophic dynamics

2022· preprint· en· W4293061028 on OpenAlexaff
Eric Bongelli, Martha Dowsley, H. Dean Cluff, Mitch Campbell, Mitchell A. Taylor

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsGovernment of NunavutGovernment of Northwest TerritoriesLakehead University
Fundersnot available
KeywordsRange (aeronautics)Annual cycleLagBiologyEnvironmental scienceGrazingEcology

Abstract

fetched live from OpenAlex

We used the Qamanirjuaq, Bathurst, and George River barren-ground caribou sine cycles to project numbers (Nt), calculate subpopulation annual growth rates (λt) and calculate logistic carrying capacity (Kt). Maximum annual growth rate was 1.196 and maximum annual rate of decline was 0.836 for the harvested Qamanirjuaq subpopulation sine cycle. However, the maximum annual subpopulation growth rates for both the harvested Bathurst and George River subpopulation sine cycles were greater than the biologically possible maximum intrinsic rate of increase during the eruption phase. Subpopulation numbers for Qamanirjuaq, Bathurst and George River barren-ground caribou subpopulations all closely tracked carrying capacity for one complete cycle with lag times between Nt and Kt ranging from < 1-year to approximately 5-years. The short lag times observed indicates that Qamanirjuaq, Bathurst and George River barren-ground caribou subpopulations closely track their range condition. Range condition drives barren-ground caribou subpopulation cycles, but range condition also cycles; presumably because annual barren-ground caribou grazing rates are proportional to barren-ground caribou numbers and eventually exceed range annual growth rates. Immigration from adjacent subpopulations plays a role in the initiation and acceleration of the eruption period in some subpopulations, but not all of them. Numerical synchrony and asynchrony with adjacent subpopulation cycles can affect the timing of the eruption phase through mediation of immigration. Once subpopulation range has recovered, the rapid recovery of subpopulation numbers suggest that subpopulations are not restricted by other factors. The regularity and symmetry of both the increase and decline phases of these cycles suggests that the barren-ground caribou cycle is both stable and resilient. Continuation of barren-ground caribou cycles at historical levels is likely if habitat conservation measures are adopted so that annual migration patterns are not disrupted, summer and winter range remain undisturbed and common-sense harvest management policies are adopted when caribou are at low numbers.

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)0.002
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 score0.064
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.015
GPT teacher head0.235
Teacher spread0.220 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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