Evidence map›Paper›PMID 40775731›Full record

ArticleMovement ecology2025

Proactive and reactive movement behaviours shape the antipredator sequence in a large herbivore.

Charlotte Vanderlocht, Benjamin Robira, Andrea Corradini, Simone Dal Farra, Federico Ossi, Davide Righetti, Heidi C Hauffe, Luca Pedrotti, Francesca Cagnacci

Abstract read
In one paragraph

Article in Movement ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Charlotte VanderlochtAnimal Ecology Research Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy. charlotte.vanderlocht@fmach.it.
Benjamin RobiraAnimal Ecology Research Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Andrea CorradiniAnimal Ecology Research Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Simone Dal FarraAnimal Ecology Research Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Federico OssiAnimal Ecology Research Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Davide RighettiWildlife Office, Autonomous Province of Bolzano - South Tyrol, Bolzano, Italy.
Heidi C HauffeConservation Genomics Research Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Luca PedrottiStelvio National Park Office - Sustainable Development and Protected Areas Service, Autonomous Province of Trento, Cogolo di Peio, Italy.
Francesca CagnacciAnimal Ecology Research Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.

Funding

Gordon and Betty Moore Foundation GBMF9881National Biodiversity Future Centre D43C22001280006
6 · The paper itself

Abstract

backgroundPrey species can display antipredator movement behaviours to reduce predation risk, including proactive responses to chronic or predictable risk, and reactive responses to acute or unpredictable risk. Thus, at any given time, prey movement choice may reflect a trade-off between proaction and reaction. In previous studies, proaction and reaction have generally been considered separately, which neglects their potentially simultaneous influence on animal movement decisions and overall space use.

methodsIn this study, we analysed how proaction and reaction interact to shape the movements of GPS-collared red deer (Cervus elaphus) in response to hunting by humans. Using an exhaustive inventory of red deer hunting events and very high-resolution canopy cover density (LiDAR), we combined movement metric (displacement and path length) models and integrated step selection functions to investigate antipredator movement responses to lethal risk on various spatiotemporal scales, considering a dynamic landscape of risk.

resultsOur results show that red deer either proactively avoided areas of chronic risk, or they selected canopy cover where and when risk was predictably high. However, when risk was encountered anyway, canopy cover was no longer selected, but only modulated a reactive response along a remain-to-leave continuum. This reaction was even more evident when the environment was unfamiliar, underlining the importance of memory in such reaction patterns.

conclusionsWe describe how proaction and reaction fuse in an antipredator sequence of interconnected movement decisions in a large herbivore, and discuss how this result may help disentangle the ecological consequences of behavioural responses to predation. Finally, we lay the foundations for further investigations into the origins of similarities and differences between proactive and reactive movement responses.

Indexed as

Bio-loggingCervus elaphusDisplacementHuntingIntegrative approachiSSALandscape of fearPath lengthPredator–prey dynamicsSchedule of fear

Identifiers

PMID40775731
PMCPMC12333305

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.