What you see is where you go: visibility influences movement decisions of a forest Q1 bird navigating a three-dimensional structured matrix

Job Aben* (Corresponding Author), Johannes Signer, Janne Heiskanen, Petri Pellikka, Justin M J. Travis

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
4 Downloads (Pure)

Abstract

Animal spatial behaviour is often presumed to reflect responses to visual cues. However, inference of behaviour in relation to the environment is challenged by the lack of objective methods to identify the information that effectively is available to an animal from a given location. In general, animals are assumed to have unconstrained information on the environment within a detection circle of a certain radius (the perceptual range; PR). However, visual cues are only available up to the first physical obstruction within an animal’s PR, making information availability a function of an animal’s location within the physical environment (the effective visual perceptual range; EVPR). By using LiDAR data and viewshed analysis, we model forest birds’ EVPRs at each step along a movement path. We found that the EVPR was on average 0.063% that of an unconstrained PR and, by applying a step-selection analysis, that individuals are 1.55 times more likely to move to a tree within their EVPR than to an equivalent tree outside it. This demonstrates that behavioural choices can be substantially impacted by the characteristics of an individual’s EVPR and highlights that inferences made from movement data may be improved by accounting for the EVPR
Original languageEnglish
Article number20200478
Number of pages7
JournalBiology Letters
Volume17
Issue number1
Early online date27 Jan 2021
DOIs
Publication statusPublished - 31 Jan 2021

Bibliographical note

Funding. Marie Sklodowska-Curie grant, grant/Award no.: 661211 and NERC, grant/Award no. NE/J008001/1.7881299

Acknowledgements. The research was authorized by the Kenyan government (NCST 5/002/R/274/4). Ministry for Foreign Affairs of Finland and Academy of Finland for funding BIODEV and TAITAWATER. Research permit from NACOSTI (no. P/18/97336/26355)
for SMARTLAND funded by Academy of Finland (no. 318645).

Keywords

  • LiDAR
  • animal movement behaviour
  • habitat selection
  • perceptual range
  • step-selection function
  • viewshed analysis

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