Sequential predictability of the scanning behaviour of greater rheas, Rhea americana

Some models that predict the scanning pattern to maximise the probability of predator detection by prey assume sequential randomness (i.e. lengths of inter-scan intervals are independent of each other and of the length of scan events). Sequential randomness would prevent stalking predators synchroni...

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Autores principales: Carro, M.E., Fernández, G.J., Reboreda, J.C.
Formato: JOUR
Materias:
greater rhea
predation
Rhea americana
scanning pattern
sequential randomness
bird
foraging behavior
numerical model
predator-prey interaction
temporal variation
wild population
Argentina
Aves
Palaeognathae
Rhea
Rheiformes
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03949370_v23_n1_p27_Carro
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_03949370_v23_n1_p27_Carro
record_format dspace
spelling todo:paper_03949370_v23_n1_p27_Carro2023-10-03T15:34:03Z Sequential predictability of the scanning behaviour of greater rheas, Rhea americana Carro, M.E. Fernández, G.J. Reboreda, J.C. greater rhea predation Rhea americana scanning pattern sequential randomness bird foraging behavior numerical model predator-prey interaction temporal variation wild population Argentina Aves Palaeognathae Rhea Rhea americana Rheiformes Some models that predict the scanning pattern to maximise the probability of predator detection by prey assume sequential randomness (i.e. lengths of inter-scan intervals are independent of each other and of the length of scan events). Sequential randomness would prevent stalking predators synchronising their attacks with long inter-scan intervals. We analysed the presence of sequential randomness in the scanning behaviour of the greater rhea (Rhea americana), a large flightless bird that forages solitarily or in groups. We analysed sequences of behaviour of 40 wild rheas, foraging solitarily or in groups of 2 to 17 individuals, in two populations in eastern Argentina. We used parametric (auto and cross-correlations) and non-parametric (runs and Spearman rank correlation) tests to detect dependence among intervals. We detected the temporal dependence of inter-scan intervals in 30 of 40 behavioural series, but only 11 of 40 sequences showed consistent dependence when tested using parametric and non-parametric tests. The temporal dependence detected in some individual sequences would still be used by predators to synchronise their attacks with long inattentive periods of the prey. However, simple simulations showed that attack success would not be different from that of predators launching their attacks at the beginning of a randomly selected inattentive period of the prey. We propose that temporal dependence among the length of inattentive periods in greater rheas would be the result of simple mechanistic rules determined by the compromise between foraging and scanning behaviour, and it would be of little value to potential stalking predators. © 2011 Dipartimento di Biologia Evoluzionistica dell'Università, Firenze, Italia. Fil:Carro, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Fernández, G.J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Reboreda, J.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03949370_v23_n1_p27_Carro
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic greater rhea
predation
Rhea americana
scanning pattern
sequential randomness
bird
foraging behavior
numerical model
predator-prey interaction
temporal variation
wild population
Argentina
Aves
Palaeognathae
Rhea
Rhea americana
Rheiformes
spellingShingle greater rhea
predation
Rhea americana
scanning pattern
sequential randomness
bird
foraging behavior
numerical model
predator-prey interaction
temporal variation
wild population
Argentina
Aves
Palaeognathae
Rhea
Rhea americana
Rheiformes
Carro, M.E.
Fernández, G.J.
Reboreda, J.C.
Sequential predictability of the scanning behaviour of greater rheas, Rhea americana
topic_facet greater rhea
predation
Rhea americana
scanning pattern
sequential randomness
bird
foraging behavior
numerical model
predator-prey interaction
temporal variation
wild population
Argentina
Aves
Palaeognathae
Rhea
Rhea americana
Rheiformes
description Some models that predict the scanning pattern to maximise the probability of predator detection by prey assume sequential randomness (i.e. lengths of inter-scan intervals are independent of each other and of the length of scan events). Sequential randomness would prevent stalking predators synchronising their attacks with long inter-scan intervals. We analysed the presence of sequential randomness in the scanning behaviour of the greater rhea (Rhea americana), a large flightless bird that forages solitarily or in groups. We analysed sequences of behaviour of 40 wild rheas, foraging solitarily or in groups of 2 to 17 individuals, in two populations in eastern Argentina. We used parametric (auto and cross-correlations) and non-parametric (runs and Spearman rank correlation) tests to detect dependence among intervals. We detected the temporal dependence of inter-scan intervals in 30 of 40 behavioural series, but only 11 of 40 sequences showed consistent dependence when tested using parametric and non-parametric tests. The temporal dependence detected in some individual sequences would still be used by predators to synchronise their attacks with long inattentive periods of the prey. However, simple simulations showed that attack success would not be different from that of predators launching their attacks at the beginning of a randomly selected inattentive period of the prey. We propose that temporal dependence among the length of inattentive periods in greater rheas would be the result of simple mechanistic rules determined by the compromise between foraging and scanning behaviour, and it would be of little value to potential stalking predators. © 2011 Dipartimento di Biologia Evoluzionistica dell'Università, Firenze, Italia.
format JOUR
author Carro, M.E.
Fernández, G.J.
Reboreda, J.C.
author_facet Carro, M.E.
Fernández, G.J.
Reboreda, J.C.
author_sort Carro, M.E.
title Sequential predictability of the scanning behaviour of greater rheas, Rhea americana
title_short Sequential predictability of the scanning behaviour of greater rheas, Rhea americana
title_full Sequential predictability of the scanning behaviour of greater rheas, Rhea americana
title_fullStr Sequential predictability of the scanning behaviour of greater rheas, Rhea americana
title_full_unstemmed Sequential predictability of the scanning behaviour of greater rheas, Rhea americana
title_sort sequential predictability of the scanning behaviour of greater rheas, rhea americana
url http://hdl.handle.net/20.500.12110/paper_03949370_v23_n1_p27_Carro
work_keys_str_mv AT carrome sequentialpredictabilityofthescanningbehaviourofgreaterrheasrheaamericana
AT fernandezgj sequentialpredictabilityofthescanningbehaviourofgreaterrheasrheaamericana
AT reboredajc sequentialpredictabilityofthescanningbehaviourofgreaterrheasrheaamericana
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