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Record W3028494805

Habitat Selection by Parturient and Post-parturient Adult Female Moose (Alces alces) on the Canadian Prairies

2020· dissertation· en· W3028494805 on OpenAlexaboutno aff
Amy Loy Wheeler

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2020
Typedissertation
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatSelection (genetic algorithm)GeographyForestryEcologyBiology
DOInot available

Abstract

fetched live from OpenAlex

The expansion of moose into the agricultural landscape of Saskatchewan (i.e., farmland moose) has increased human-wildlife conflicts, raising questions about how to best manage them. To support decision making, I initiated a study on farmland moose reproductive success and habitat selection following parturition (i.e., birth of calves). In 2013 and 2014, adult female moose were captured between Saskatoon and Chamberlain, SK and fitted with Global Positioning System collars. Daily movement rates and clustering of locations were used to determine the date and location of parturition for 27 adult female moose from 2013 to 2015. The mean date of parturition was May 21. Moose were surveyed using Very High Frequency radio telemetry in June and September each year to visually determine the presence and number of calves. Of the pregnant females observed during calf surveys with 1 or 2 calves, twinning rates were 67% (n = 6/9) in June 2013 and 46% (n = 5/11) in June 2014. Habitat selection ratios indicated that wetland and riparian habitat, trees and shrubs, and cropland were selected the most strongly by female moose as parturition habitat, while pastures and forages, developed and native grassland habitat were avoided. Female moose selected parturition sites further away from roads. A resource selection function model was developed to quantify habitat selection by 15 female moose with young during the first 20 days post-parturition. During this period, adult female moose with young most strongly selected for wetland and riparian areas (β [95% CI] = 0.716 [0.485, 0.946]) and native grassland (β [95% CI] = 0.457 [0.329, 0.585]) and against oilseeds (β [95% CI] = –0.252 [–0.400, –0.103]). Predictive success of the top-ranked model, estimated from k-fold cross validation, was rs = 0.993 (SE = 0.001). The resource selection function indicates that only 10% of the area within the home ranges of parturient females is considered highly selected habitat with high probability of moose use, while 48% of the area has a low probability of use. These results demonstrate the importance of wetland habitat within cropland to female moose, during and shortly after giving birth.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.692
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.004
GPT teacher head0.149
Teacher spread0.145 · 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.

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
Published2020
Admission routes1
Has abstractyes

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