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Record W4409588495 · doi:10.1016/j.biocon.2025.111159

Vehicle collisions and visitor disturbance reduce survival and reproductive success of kangaroos in a national park

2025· article· en· W4409588495 on OpenAlexafffund
Kelly L. Forrester, Rachel Bergeron, Simon Coroller-Chouraki, David M. Forsyth, Marco Festa‐Bianchet, Wendy J. King

Bibliographic record

VenueBiological Conservation · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of CanadaAustralian National UniversityUniversity of MelbourneUniversité de SherbrookeHolsworth Wildlife Research Endowment
KeywordsNational parkVisitor patternDisturbance (geology)GeographyReproductive successWildlifeEcologyDemographyBiologyArchaeologyPopulationComputer science

Abstract

fetched live from OpenAlex

Many protected areas provide opportunities for people to view wildlife using roads and walking trails. The impacts of roads and trails on wildlife populations, however, have seldom been investigated by examining their consequences on individual animals. We studied the impacts of a road and use of a wildlife viewing trail on eastern grey kangaroos ( Macropus giganteus ) in Wilsons Promontory National Park, Australia. We analyzed 11 years of data from 433 marked individuals to quantify road mortality, and how distance from the road, where the walking trail started, affected survival, movement, and reproductive success. Kangaroos in the west of the study area, nearer the road and around a popular wildlife viewing trail, showed increased mobility, more vehicle-associated mortality, and decreased weaning success and survival, compared to kangaroos in the east that were exposed to substantially fewer visitors. Mature males, the sex-age class most likely to be killed by vehicles, had a 51 % higher probability of road mortality at the western than at the eastern end, contributing to a 47 % decrease in overall survival. Prime-aged females at the western end of the study area, where they experienced frequent exposure to visitors, had a 45 % lower probability of weaning a young compared to females in the east of the study area. Managers should consider these undesirable impacts when planning how to encourage people to interact with wildlife in protected areas.

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)0.001
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 score0.006
Threshold uncertainty score0.217

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.025
GPT teacher head0.270
Teacher spread0.246 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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