Literature DB >> 29080805

Can sequential vigilance be predicted?

Zhongqiu Li1, Ye Che2, Le Yang3.   

Abstract

Sequential randomness is one of the three important assumptions for Pulliam's vigilance model (1973). Here we tested the sequential randomness in Black-necked cranes Grus nigricollis, to see if the vigilance sequence can be predicted. Not similar to other recent studies, we found that most vigilance sequences (44/46) passed runs randomness test, and the length of an inter-scan interval was usually unrelated to its previous scan duration. Our findings suggest high predation risk might favor a random pattern of vigilance.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Black-necked cranes; Feral dogs; Sequential randomness; Vigilance

Mesh:

Year:  2017        PMID: 29080805     DOI: 10.1016/j.beproc.2017.10.010

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  1 in total

1.  Disturbance and predation risk influence vigilance synchrony of black-necked cranes Grus nigricollis, but not as strongly as expected.

Authors:  Dejun Kong; Anders Pape Møller; Yanyun Zhang
Journal:  Ecol Evol       Date:  2021-01-27       Impact factor: 2.912

  1 in total

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