Evidence map›Paper›PMID 40475876›Full record

ArticleEcology and evolution2025

Acceleration Data Reveal Behavioural Responses to Hunting Risk in Scandinavian Brown Bears.

Jeanne Clermont, Andreas Zedrosser, Ludovick Brown, Frank Rosell, Gunn Elisabeth Sydtveit Rekvik, Jonas Kindberg, Fanie Pelletier

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jeanne ClermontDépartement de Biologie Université de Sherbrooke Sherbrooke Canada.ORCID https://orcid.org/0000-0002-8028-372X
Andreas ZedrosserDepartment of Natural Sciences and Environmental Health University of South-Eastern Norway Bø in Telemark Norway.ORCID https://orcid.org/0000-0003-4417-3037
Ludovick BrownSchool of Environmental Studies University of Victoria Victoria Canada.ORCID https://orcid.org/0000-0003-3647-5879
Frank RosellDepartment of Natural Sciences and Environmental Health University of South-Eastern Norway Bø in Telemark Norway.ORCID https://orcid.org/0000-0003-1047-0156
Gunn Elisabeth Sydtveit RekvikDepartment of Natural Sciences and Environmental Health University of South-Eastern Norway Bø in Telemark Norway.
Jonas KindbergNorwegian Institute for Nature Research Trondheim Norway.ORCID https://orcid.org/0000-0003-1445-4524
Fanie PelletierDépartement de Biologie Université de Sherbrooke Sherbrooke Canada.ORCID https://orcid.org/0000-0002-0113-5412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predation may indirectly influence prey's fitness and population dynamics through behavioural adjustments in response to perceived predation risk. These non-consumptive effects of predation can also arise from hunting by humans, but they remain less documented. Advances in biologging allow detailed assessments of the activity budgets of elusive wildlife, increasing the potential to uncover the non-consumptive effects of human activities on animals. We used tri-axial accelerometry to record the daily activity of 24 Scandinavian brown bears (20 females and 4 males) from a heavily hunted population in Sweden, for a total of 29 bear-years (2015-2022). We used a random forest algorithm trained with observations of captive brown bears to classify the accelerometry data into four behaviours, running, walking, feeding and resting, with an overall precision of 95%. We then used these classifications to evaluate changes in bear activity budgets before and during the hunting season. Bears exhibited a bimodal daily activity pattern, being most active at dusk and dawn and resting around midday and midnight. However, during the hunting season, males became more nocturnal compared to before the hunting season, suggesting a proactive behavioural adjustment to reduce encounters with hunters. Females showed the opposite pattern and had a higher probability of being active during the day, potentially to increase nutritional gains before denning. Additionally, daily number of running bouts did not vary between the pre-hunting and hunting seasons in both sexes, but females' proportion of running bouts occurring during legal hunting hours was higher during the hunting season than prior to it, which suggests a reactive behavioural adjustment to encounters with hunters. Detailed assessments of wild animal behaviours, allowed through recording of movement data at high frequencies, have the potential to improve our understanding of the impacts of human activity on wildlife.

Indexed as

harvesthuman disturbancelandscape of fearnocturnalitypredation‐risk effectsUrsus arctos

Identifiers

PMID40475876
PMCPMC12137196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.