Climate and predation drive variation of diel activity patterns in chacma baboons (Papio ursinus) across Southern Africa

Understanding how animals adjust daily activity to environmental gradients reveals key drivers of behavioral plasticity. While diel activity is theorized to reflect trade-offs among thermoregulation, energy balance, and predation risk, few studies test these interactions at broad spatial scales within species. We investigated this in chacma baboons (Papio ursinus) using over a million camera-trap detections across 29 sites in six biomes (2016-2022) in South Africa and Zimbabwe. Activity, as measured by area under the kernel density curve (AUC), declined by about 3% with latitude, consistent with lower resource predictability, and increased with thermal stress, while latest detected movement (LDM) and earliest detected movement (EDM) times were similar across sites. Baboons avoided midday heat but increased dawn and night activity under predator pressure. These findings show how abiotic and biotic pressures shape diel schedules and highlight temporal flexibility as an adaptive strategy for generalist mammals in a changing world.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-10
DOI
https://doi.org/10.1038/s41598-025-23151-3
Citations
1
Primary Topic
Primate Behavior and Ecology
Type
article
Field-Weighted Citation Impact
2.44

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Climate and predation drive variation of diel activity patterns in chacma baboons (Papio ursinus) across Southern Africa

Jan A. Venter, Franck Prugnolle, Anita Wilkinson, Marc Choisy et al.
1 citations
Scientific Reports
Primate Behavior and Ecology
2.44
article

Climate and predation drive variation of diel activity patterns in chacma baboons (Papio ursinus) across Southern Africa

Jan A. Venter, Franck Prugnolle, Anita Wilkinson, Marc Choisy, Élise Huchard, Hervé Fritz, Rebecca Garbett, Lucie Thel, Virginie Rougeron, Locadia Dzingwena
article en
1 citations

Abstract

Understanding how animals adjust daily activity to environmental gradients reveals key drivers of behavioral plasticity. While diel activity is theorized to reflect trade-offs among thermoregulation, energy balance, and predation risk, few studies test these interactions at broad spatial scales within species. We investigated this in chacma baboons (Papio ursinus) using over a million camera-trap detections across 29 sites in six biomes (2016-2022) in South Africa and Zimbabwe. Activity, as measured by area under the kernel density curve (AUC), declined by about 3% with latitude, consistent with lower resource predictability, and increased with thermal stress, while latest detected movement (LDM) and earliest detected movement (EDM) times were similar across sites. Baboons avoided midday heat but increased dawn and night activity under predator pressure. These findings show how abiotic and biotic pressures shape diel schedules and highlight temporal flexibility as an adaptive strategy for generalist mammals in a changing world.

Scientific ReportsVol. 15(1)
Centre National de la Recherche Scientifique (FR), Panthera Corporation (US), École Pratique des Hautes Études (FR), University of Oxford (GB), Institut des Sciences de l'Evolution de Montpellier (FR), Oxford University Clinical Research Unit (VN), Institut de Recherche pour le Développement (FR), Nelson Mandela University (ZA)
Panthera, National Research Foundation, Agence Nationale de la Recherche, Centre National de la Recherche Scientifique, Nelson Mandela University
Openalex Percentile: Top 9%
Primate Behavior and Ecology
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.