TY - JOUR
T1 - Developing an integrative understanding of escape mode decisions
AU - Diaz, Mario
AU - Møller, Anders P.
AU - Benedetti, Yanina
AU - Blumstein, Daniel T.
AU - Markó, Gábor
AU - Morelli, Federico
AU - Ibáñez-Álamo, Juan D.
AU - Jokimäki, Jukka
AU - Kaisanlahti-Jokimäki, Marja-Liisa
AU - Mikula, Peter
AU - Tätte, Kunter
AU - Tryjanowski, Piotr
AU - Grim, Tomas
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025/9/30
Y1 - 2025/9/30
N2 - Optimal escape theory predicts that individuals should escape when the costs of staying (risk of being injured or killed) exceed the costs of leaving (energetic costs of escape, lost foraging opportunities and costs incurred for monitoring the approaching predator). We extend these theoretical principles to analyse preferences for alternative escape modes in a model animal group, birds, which can escape by either flight (costlier but safer) or using cheaper but riskier alternatives (jump, walk, or swim). We used a large, published database that included 21 222 records on 179 species taken in 15 European localities during the breeding seasons of 2009–2019, with data on escape mode, latitude, habitat (urban or rural), precipitation and temperature. Most individuals escaped by taking flight (15 940 records; 79%). Variation in escape mode decisions was mostly driven by species-specific traits (body size, diet), whereas external environmental variables (climate, geography, habitat) showed small effects. Flight initiation distances were longer when birds escaped by taking flight than when they chose lower-cost alternatives. Overall, escape mode preferences showed spatial and temporal variation compatible with expectations from risk–energy trade-off optimization. Escape mode decisions seemed more related to predation avoidance and flight initiation distance decisions to energy-saving goals. Thus, escape mode preferences interacted with fleeing–staying decisions, suggesting a behavioural integration of different aspects of escape strategies under a general optimization model.
AB - Optimal escape theory predicts that individuals should escape when the costs of staying (risk of being injured or killed) exceed the costs of leaving (energetic costs of escape, lost foraging opportunities and costs incurred for monitoring the approaching predator). We extend these theoretical principles to analyse preferences for alternative escape modes in a model animal group, birds, which can escape by either flight (costlier but safer) or using cheaper but riskier alternatives (jump, walk, or swim). We used a large, published database that included 21 222 records on 179 species taken in 15 European localities during the breeding seasons of 2009–2019, with data on escape mode, latitude, habitat (urban or rural), precipitation and temperature. Most individuals escaped by taking flight (15 940 records; 79%). Variation in escape mode decisions was mostly driven by species-specific traits (body size, diet), whereas external environmental variables (climate, geography, habitat) showed small effects. Flight initiation distances were longer when birds escaped by taking flight than when they chose lower-cost alternatives. Overall, escape mode preferences showed spatial and temporal variation compatible with expectations from risk–energy trade-off optimization. Escape mode decisions seemed more related to predation avoidance and flight initiation distance decisions to energy-saving goals. Thus, escape mode preferences interacted with fleeing–staying decisions, suggesting a behavioural integration of different aspects of escape strategies under a general optimization model.
KW - birds
KW - climate
KW - Cost-benefit analysis
KW - predators
KW - decision making
KW - escape
KW - escaping
KW - behaviour
UR - https://www.scopus.com/pages/publications/105017287659
UR - https://www.scopus.com/inward/citedby.url?scp=105017287659&partnerID=8YFLogxK
U2 - 10.1016/j.anbehav.2025.123338
DO - 10.1016/j.anbehav.2025.123338
M3 - Article
SN - 0003-3472
VL - 229
SP - 1
EP - 9
JO - Animal Behaviour
JF - Animal Behaviour
M1 - 123338
ER -