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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 OpenAlexaboutno aff
Corey J Kramer

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.865
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.052
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations2
Published2021
Admission routes1
Has abstractyes

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