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Record W7028454114

Feral Horse Ecology in the Rocky Mountain Foothills of Alberta, Canada.

2022· dissertation· en· W7028454114 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Languageen
FieldEngineering
TopicPhysics and Engineering Research Articles
Canadian institutionsnot available
Fundersnot available
KeywordsFoothillsWildlifePopulationWildlife managementDingoPopulation ecologyEcosystemWildlife conservation
DOInot available

Abstract

fetched live from OpenAlex

Feral horses have been present in western Canada since the early 1720s, though little is known about fundamental components of their ecology. In the foothills of the Rocky Mountains in Alberta, Canada, increasing socio-political conflict regarding feral horse management, their role, and their impacts in the Foothills ecosystem highlights a growing need for nuanced management approaches predicated on robust ecological information. My objective was to assess several key aspects of feral horse ecology within the largest known population of horses in western Canada, located west of the township of Sundre, Alberta. In Chapter 1, I provide a general introduction to the history and ecology of feral horses in western Canada and North America, to the study area, and to the key questions motivating the research. In Chapter 2, I begin by reviewing the causes and consequences of a lack of robust ecological information for many feral horse populations, and feral wildlife generally, and found that both political and biological asymmetries in feral populations can favor the persistence and expansion of populations of feral species relative to native species. Ideological opposition to the necessary study of feral populations as wildlife also has important implications for increasingly contested population management of feral species. \nIn Chapter 3 I assessed key spatial and social characteristics of the population within the Sundre equine management zone (EMZ) using a combination of GPS telemetry and camera-trap data. Social characteristics such as band size and sex-ratio were consistent with earlier work and with feral horse populations generally. Home-ranges overlapped considerably between individual bands with sizes ranging from 47.6 to 93.0 km2. These were larger than those that were identified by Salter in 1978 within an area now encompassed in the Sundre EMZ, though were similar to those identified by Girard in nearby Bragg Creek, Alberta with the difference likely representing differences in methodology. Movement and detection rates of horses were greater in summer, and horses showed reduced diel activity in the middle of the day in summer, compared to winter. The number of foals detected, and the mean number of foals within each band was highest from June to August and composed less than 15% of the total individuals detected each year. Identification of individuals based on natural markings was possible, though the influence of non-independent movement and social grouping was evident, and problematic for capture-recapture analyses.\nIn Chapter 4, I assessed density and total abundance of the population of horses in the Sundre equine management zone using space-to-event (STE) density models. Feral horse density was 0.602/km2, 0.606/km2 and 0.522/km2 respectively, from 2017 – 2019. Total abundance estimates were similar to minimum aerial count data with confidence intervals from estimates overlapping aerial counts in all years except 2017, suggesting the population declined by approximately 14% from 2018 to 2019. These results are similar to recent trends detected in minimum aerial counts that show a decline in counts of approximately 22% (2019 – 2021) and contrast with expectations based on increasing minimum counts in the Sundre population in recent decades, and populations of many other free-ranging feral horse populations. Reasons for the decline are likely to be multi-factorial and are difficult to determine based on the current data alone. I discuss potential causes and the implications these have for future management. \nIn Chapter 5, I assessed habitat selection of feral horses with respect to several key landscape and vegetation characteristics of interest using GPS telemetry data, and compared summer occupancy of feral horses, cattle, and elk using camera-trap data. Variation was high among tracked individuals in selection for vegetation type, and counter to expectations, horses avoided native rangeland in summer, compared to greater selection of forestry cutblocks in all but one individual. This was also supported by higher summer horse occupancy probability with increasing areal coverage of cutblocks. This contrasted to cattle occupancy which declined strongly with increasing cutblock coverage. Cattle occupancy was also negatively influenced by terrain, though positively influenced by the presence of linear features and lower distance to roads. These results have important implications for the spatio-temporal partitioning of cattle and horses over summer and suggest that horses may avoid areas with high overlap with cattle. \nIn Chapter 6, I summarize the findings from each chapter, and discuss their wider management implications.

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.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.845

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 science0.0010.000
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 head0.003
GPT teacher head0.151
Teacher spread0.148 · 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