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Record W4406144237 · doi:10.24072/pcjournal.506

From fear to food: predation risk shapes deer behaviour, their resources and forest vegetation

2025· article· en· W4406144237 on OpenAlexafffundabout
Jean‐Louis Martin, Simon Chamaillé‐Jammes, Anne K. Salomon, Devana Veronica Gomez Pourroy, Mathilde Schlaeflin, Soizic Le Saout, Annick Lucas, Ilham Bentaleb, Simon Chollet, Jake Pattison, Soline Martin‐Blangy, Anthony J. Gaston

Bibliographic record

VenuePeer Community Journal · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsEnvironment and Climate Change CanadaWildlife Conservation Society CanadaSimon Fraser University
FundersEnvironment and Climate Change CanadaCentre National de la Recherche ScientifiqueCHIST-ERAAgence Nationale de la RechercheNational Geographic Society
KeywordsPredationForagingEcologyUnderstoryOdocoileusVegetation (pathology)HerbivoreHabitatWildlifeGeographyBiologyForageCanopy

Abstract

fetched live from OpenAlex

The “ecology of fear” posits that predation risk shapes the behaviour of large herbivores, their foraging patterns, their habitat selection and their consequent effect on forest ecology. To test some of these predictions we used the extensive empirical and experimental data on vegetation cover and composition, and on deer anti-predator behaviour, collected at study sites with different histories of hunting and natural predation in the Haida Gwaii archipelago and in nearby areas of coastal British Columbia (Canada). Because these deer also forage in the intertidal, a habitat hypothetically more exposed to risk, we also analysed how risk affected intertidal foraging by measuring the proportion of marine versus terrestrial stable isotopes in deer bone collagen. In the absence of risk, deer had a strong negative effect on understory vegetation cover and plant composition. In these populations deer had a remarkable tolerance to human presence (short flight initiation and travel distances when disturbed), a willingness to consume foreign bait or to investigate baited traps, and a propensity to be active at daytime. Where deer faced long-term hunting and natural predators, understories were denser and more diverse and resembled those of forests never exposed to deer. Severe deer culling in sites initially without risk dramatically increased the cover of understory vegetation, although different in composition from the one in forests with long-term presence of predators and hunting, or that never had deer. Deer born after culling exhibited longer flight initiation distances and travel distances when fleeing, a reluctance to consume foreign bait or to investigate baited traps, and increased night-time foraging. The translocation of unwary deer from a population without risk to the island where culls had partially restored the vegetation, showed that their unwary behaviour was not significantly modified in the presence of abundant and higher-quality forage. This contrasted with the wary behaviour observed in the local deer born after the culls. Finally, deer in populations exposed to risk from hunters and/or predators were less likely to forage in the intertidal, although this trend might be, to some extent, affected by resources in the understory. We interpreted our results as evidence that risk is key in shaping, and potentially selecting for, lasting behavioural contrasts between deer populations, contrasts intimately connected to deer effects on plant cover and diversity, ecological networks, and ecosystem complexity.

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)0.001
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 score0.012
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.241
Teacher spread0.223 · 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

Citations3
Published2025
Admission routes3
Has abstractyes

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