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Record W7074733723

Planning for coexistence : assessing predictors of human-carnivore conflict on Southern Vancouver Island

2019· article· en· W7074733723 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2019
Typearticle
Languageen
FieldComputer Science
TopicData Analysis with R
Canadian institutionsnot available
Fundersnot available
KeywordsDisturbance (geology)HabitatDistribution (mathematics)Human–wildlife conflictNatural (archaeology)AgricultureRural area
DOInot available

Abstract

fetched live from OpenAlex

The urban-wildland interface is growing as human development expands, potentially increasing human-wildlife conflict. Conflicts include animals accessing garbage, damaging agricultural crops, or depredating livestock. For mammalian carnivores this often leads to lethal mitigation. Mortality from conflict represents a major threat to carnivores who miscalculate the risk of human-dominated areas. By contrast, carnivores that adapt to these novel anthropogenic environments may facilitate human-wildlife coexistence. 
\nHuman-carnivore conflict is an increasing issue on Vancouver Island, British Columbia, due to rapidly expanding development and high concentrations of black bears (Ursus americanus) and cougars (Puma concolor). To reduce these conflicts and promote coexistence, it is critical to target proactive mitigations using reliable evidence to distinguish where conflict is probable from where carnivores are adapting to coexist. 
\nI modelled relative conflict probability using seven years of reported conflicts and GIS data to investigate which anthropogenic and environmental predictors best explained the spatial and temporal distribution of conflict in Victoria’s Capital Regional District. I found that the probability of conflict for both species increased along the urban-wildland interface, where human disturbance adjoined natural habitat. Black bear conflict also increased in rural areas in autumn before winter denning. 
\nI subsequently used a camera trap survey to see when and where bears were active across a gradient of human disturbance and compared bear habitat use to the previously estimated probabilities of conflict. For much of the year, bears used areas of low to medium conflict, such as forests near urban areas, avoided areas of higher human density, and were more nocturnal in urban and rural areas compared to wild. However, in autumn, bears were more active in areas of high conflict probability, specifically rural lands with ripe crops. This suggests that bear behaviour may allow for coexistence in most seasons by spatially and temporally avoiding humans, except in autumn when hyperphagia and peak anthropogenic crop availability increase the risk of human-bear conflict.
\nOverall, I recommend proactive conflict mitigation to secure anthropogenic attractants against multiple carnivore species, and a particular focus on mitigations during seasonal peaks in attractive human food resources.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.993

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 communication0.0000.001
Open science0.0010.000
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 head0.017
GPT teacher head0.221
Teacher spread0.204 · 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
Published2019
Admission routes1
Has abstractyes

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