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Record W7029301139

Implications Of Population Genetics And Physiological Responses On The Conservation Of Moose (alces Alces Americana)

2022· article· en· W7029301139 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks -A service of University of Vermont Libraries (University of Vermont) · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWildlifePopulationAbundance (ecology)Genetic diversityWildlife managementPopulation geneticsVital ratesWildlife conservation
DOInot available

Abstract

fetched live from OpenAlex

Wildlife populations around the globe are facing numerous, complex challengesto their persistence, yet conservation efforts are hindered by limited information about these populations and the anthropogenic pressures they face. North American moose (Alces alces americana), despite being of ecological, cultural, and economical importance, inhabit remote landscapes, making population monitoring difficult. At the same time, many moose populations, including in Vermont and eastern North America, have experienced recent declines mainly due to winter tick (Dermacentor albipictus) epizootics. Anthropogenic landscape change and climate-mediated pressures pose future challenges for moose across the southern extent of their distribution. Though impacts of winter tick infestation on population vital rates have been well-studied, there has been little research on how moose population genetics and physiological responses interplay with current and future challenges posed by parasites, climate change, and increasing anthropogenic pressures. This dissertation addresses these knowledge gaps by 1) developing a novel approach for estimating wildlife abundance in cases where common abundance measures are difficult to implement, 2) describing the genetic diversity and connectivity of moose populations across the northeastern United States and Southern Quebec, and 3) identifying drivers and fitness implications of stress hormone and nutritional restriction dynamics in Vermont’s highest density moose population. Using a simulated moose population, this dissertation advanced the use of pedigree reconstruction as an abundance estimator, which appeared particularly useful for low-density populations. Genetic samples from moose across five U.S. states and a Canadian province indicated low measures of genetic diversity yet provides evidence of genetic connectivity that will likely be challenged by future climate, habitat, and population conditions. Finally, several climate, habitat, and parasite variables impacted stress metabolite concentrations and nutritional restriction of radio-collared moose calves, both of which related to winter survival probability. This effort supports novel means of monitoring wildlife populations using data that can be acquired non-invasively and illustrates the compounding suite of challenges facing moose in eastern North America.

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 score0.235
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.035
GPT teacher head0.189
Teacher spread0.155 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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