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Record W7052767775

SPATIAL BEHAVIOR, FORAGING, AND POPULATION DYNAMICS OF A SUBARCTIC UNGULATE

2022· dissertation· en· W7052767775 on OpenAlexaboutno aff

Bibliographic record

VenueThe Mathematics Enthusiast · 2022
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsForagingSubarctic climateUngulateHerbivoreAbundance (ecology)PopulationCompetition (biology)LichenSpatial ecology
DOInot available

Abstract

fetched live from OpenAlex

The concept of density-dependence is foundational to our understanding of the ecology and management of large herbivores. As the abundance of large herbivores increases, competition for high-quality resources increases and animals select for lower-quality foods potentially resulting in reduced vital rates that cause declines in population growth. What remains unclear is how foraging at finer scales, like the ‘bite’, translates to demography. This is difficult because it’s challenging to scale bite-level foraging to population-levels. I test the fine-scale foraging mechanisms of density dependence in a large subarctic herbivore, Barrenground caribou (Rangifer tarandus granti). The nutritional landscape for arctic herbivores is changing faster than anywhere else on Earth from global climate change, so understanding population-level consequences of foraging behavior is paramount. The Fortymile Caribou Herd (FCH) is a barrenground population ranging across Alaska and Yukon, Canada that, unlike most, has recently increased in abundance and distribution. First, I used GPS-video-camera collars to understand fine-scale behavior and diet patterns. This revealed i) a pronounced tradeoff in summer foraging between lichens and shrubs and, ii) the costs of insect harassment on eating. Second, I tested how foraging choices were influenced by spatiotemporal factors in summer. I found spatial tradeoffs in behavioral and foraging choices. As spatial densities of the FCH increased, the probability of eating shrubs increased as cover (%) for Salix spp. shrubs increased. Conversely, the probability of caribou eating lichen declined with increasing spatial densities. Caribou choice for preferred summer foods also increased with the availability of such foods revealing foraging functional responses. Finally, I linked bottom-up drivers of nutritional ecology to juvenile survival to test predictions of density dependence. I found biologically important effects of bottom-up forage-related factors on maternal condition, neonate birth weight and hence, survival, and overwinter juvenile survival. However, I found opposing signals of classical density-dependence suggesting this population was not approaching food-regulated carrying capacity. Understanding the mechanisms of density-dependent foraging for an increasing population provides critical insights into potential future impacts of global change in the Arctic on caribou, and valuable information for caribou managers especially given recent declines of most populations.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.693

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 head0.010
GPT teacher head0.259
Teacher spread0.248 · 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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