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Record W3163970646

UNDERSTANDING RESOURCE SELECTION, RESOURCE USE, AND LANDSCAPE CONNECTIVITY FOR INVASIVE WILD PIGS (SUS SCROFA) IN THE PRAIRIES: IMPLICATIONS FOR MANAGEMENT

2021· dissertation· en· W3163970646 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) · 2021
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSelection (genetic algorithm)GeographyResource (disambiguation)Environmental resource managementBiologyEnvironmental scienceComputer science
DOInot available

Abstract

fetched live from OpenAlex

The ability to understand habitat selection and movement of invasive species has important practical and theoretical implications. Ecological research is essential for understanding ecological and economic damages to native habitats, wildlife, livestock, and agriculture. Wild pigs were introduced to the western Canada in 1980s, but our understanding of their habitat requirements is largely unknown. I used GPS collar data from invasive wild pigs to elucidate habitat requirements at three temporal scales within the western Canadian agro-ecosystem and to assess regional connectivity across the prairie ecoregion and international boundaries. Crops were at risk to damage at night and once fully ripened, especially corn, which showed consistent selection daily and seasonally. Crop use and selection corresponded to times when anthropogenic pressure was lowest, and crops provided the greatest hiding cover and energetic value; while forests provided cover, thermoregulatory capacity, and food throughout the entirety of the study period. These trends indicated that at finer temporal scales wild pigs emphasized short term needs while over coarser scales they prioritized habitats that serve multiple functional roles. Furthermore, when I used annual selection tendencies to examine potential wild pig expansion, I measured a high degree of connectivity across the prairie ecoregion of Canada and the United States due to the abundance of a forest-crop-wetland landscape which facilitated movement potential. Additionally, areas of habitat homogenization and those without forests restricted movement allowing for the identification of four movement pinch points which could be monitored for wild pig spread. My research demonstrates that: i) agricultural crops are at greater threat to damages than previously observed or reported and ii) the northern United States is at substantial risk of invasion and this has important implications for the spread of wild pigs. Overall, crops play an important role ecologically to wild pigs in Canada, they offer high quality food sources, hiding cover, and impact potential expansion. These results can be used by land managers to identify when and where wild pigs are most likely to be found and to facilitate targeted population reductions in Canadian and United States agro-ecosystems aimed to slow expansion to new areas in 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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.991

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.052
GPT teacher head0.211
Teacher spread0.158 · 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