Evidence map›Paper›PMID 33497591›Full record

ArticleBiology letters2021

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

Job Aben, Johannes Signer, Janne Heiskanen, Petri Pellikka, Justin M J Travis

Abstract read
In one paragraph

Article in Biology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. A Review of Cervidae Visual Ecology.Animals : an open access journal from MDPI · 2024
    Review
  3. Review
  4. Article
  5. Article
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Job AbenDepartment of Biology, University of Antwerp, Wilrijk, Belgium.
Johannes SignerWildlife Sciences, University of Goettingen, Göttingen, Germany.
Janne HeiskanenDepartment of Geosciences and Geography, University of Helsinki, Helsinki, Finland.
Petri PellikkaDepartment of Geosciences and Geography, University of Helsinki, Helsinki, Finland.
Justin M J TravisSchool of Biological Sciences, University of Aberdeen, Aberdeen, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 modelled 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.

Indexed as

BirdsEcosystemAnimalsForestsMovementTreesanimal movement behaviourhabitat selectionLiDARperceptual rangestep-selection functionviewshed analysis

Identifiers

PMID33497591
PMCPMC7876602

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.