A multi-level approach to quantify speed-accuracy trade-offs in great tits (Parus major)

Moiron, Maria; Mathot, Kimberley J. und Dingemanse, Niels J. (2016): A multi-level approach to quantify speed-accuracy trade-offs in great tits (Parus major). In: Behavioral Ecology, Bd. 27, Nr. 5: S. 1539-1546

Abstract

Are fast decisions less likely to be accurate? We tested for a trade-off between speed and accuracy in foraging great tits. We found support for a speed-accuracy trade-off among-individuals but not within-individuals. These findings thereby imply that these patterns were level-specific, and caused by multiple mechanisms acting simultaneously. This study may be used to guide further empirical studies focusing on level-specificity of relationships between behavioral and cognitive traits.Animals often face a conflict between the speed and accuracy by which a decision is made. Decisions taken quickly might be relatively inaccurate, whereas decisions taken more slowly might be more accurate. Such "speed-accuracy trade-offs" receive increasing attention in behavioral and cognitive sciences. Importantly, life-history theory predicts that trade-offs typically exist only at certain hierarchical levels, such as within rather than among individuals. We therefore examined within- and among-individual correlations in the speed and accuracy by which decisions are taken, using a foraging context in wild-caught great tits (Parus major) as a worked example. We find that great tits exhibit among-individual variation in speed-accuracy trade-offs: some individuals predictably made relatively slow but accurate decisions, whereas others were predictably faster but less accurate. We did not, however, find evidence for the trade-off at the within-individual level. These level-specific relationships imply that different mechanisms acted across levels. These findings highlight the need for future work on the integration of individual behavior and cognition across hierarchical levels.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Biologie > Department Biologie II
• Themengebiete: 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie
• ISSN: 1045-2249
• Sprache: Englisch