Signal detection and optimal acceptance thresholds in avian brood parasite–host systems: implications for egg rejection
Metadatos
Mostrar el registro completo del ítemEditorial
The Royal Society Publishing
Materia
Avian brood parasitism Decision making Egg recognition Flexible behaviour Rejection decisions
Fecha
2020-07-06Referencia bibliográfica
Ruiz-Raya, F., & Soler, M. (2020). Signal detection and optimal acceptance thresholds in avian brood parasite–host systems: implications for egg rejection. Philosophical Transactions of the Royal Society B, 375(1802), 20190477. [http://dx.doi.org/10.1098/rstb.2019.0477]
Resumen
Signal detection theory addresses the challenge of successfully identifying
informative signals in noisy information contexts, allowing optimal behavioural
decisions in diverse ecological contexts. The optimal acceptance threshold
hypothesis proposed by Reeve (Reeve 1989 Am. Nat. 133, 407–435. (doi:10.
1086/284926)) is an elegant theoretical model to predict the flexibility of acceptance
thresholds for conspecific discrimination. This model has provided a
robust framework used to explore recognition systems in a broad range of contexts
such as animal communication, nest-mate discrimination or anti-parasitic
host responses. In this review, we discuss key concepts related to the optimal
acceptance threshold hypothesis applied to egg rejection decisions in avian
brood parasite–host interactions. We explore those factors determining
signal detectability in parasitized nests and how hosts adjust their rejection
decisions to both the risk of parasitism and the potential costs associated
with egg rejection. In addition, we discuss recent results that challenge some
traditional assumptions of the optimal acceptance threshold hypothesis and
provide a novel perspective to explore rejection decisions, such as the existence
of single-threshold decision rules or acceptance decisions. An integrative view
combining current evidence with traditional theory is needed to further
advance the comprehension of optimal acceptance thresholds.
This article is part of the theme issue ‘Signal detection theory in
recognition systems: from evolving models to experimental tests’.