2020
DOI: 10.1038/s41467-020-16102-1
|View full text |Cite|
|
Sign up to set email alerts
|

Spatial planning with long visual range benefits escape from visual predators in complex naturalistic environments

Abstract: It is uncontroversial that land animals have more elaborated cognitive abilities than their aquatic counterparts such as fish. Yet there is no apparent a-priori reason for this. A key cognitive faculty is planning. We show that in visually guided predator-prey interactions, planning provides a significant advantage, but only on land. During animal evolution, the water-to-land transition resulted in a massive increase in visual range. Simulations of behavior identify a specific type of terrestrial habitat, clus… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
56
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 30 publications
(57 citation statements)
references
References 66 publications
1
56
0
Order By: Relevance
“…The perception and subsequent behavioural response of an animal to a specific landscape of fear will depend to a large degree on the sensory and cognitive capabilities of the animal (Gaynor et al 2019). Outstanding visual capabilities for example, might enable an animal to plan ahead and better avoid predators (Mugan and MacIver 2020). Studies on a variety of animal taxa showed that prey and mesopredator individuals forage longer in safer habitats, i.e.…”
Section: Discussionmentioning
confidence: 99%
“…The perception and subsequent behavioural response of an animal to a specific landscape of fear will depend to a large degree on the sensory and cognitive capabilities of the animal (Gaynor et al 2019). Outstanding visual capabilities for example, might enable an animal to plan ahead and better avoid predators (Mugan and MacIver 2020). Studies on a variety of animal taxa showed that prey and mesopredator individuals forage longer in safer habitats, i.e.…”
Section: Discussionmentioning
confidence: 99%
“…This conceptual gap between ecological (animals as stochastic unthinking agents) and neuroscience (animals with sensory systems, memory, and processing) approaches to foraging has a rich historical background ( Hein et al, 2016 ; Mobbs et al, 2018 ). Newer work bridges the gap ( Namboodiri et al, 2016 ; Kolling et al, 2012 ), such as showing that the turbulent structure of wind-borne odors give rise to Lévy-flight like displacements in seabird navigation ( Reynolds et al, 2015 ), that nematode turning movements while looking for food is not stochastic, as previously believed, but rather predictable from recent sensory experience ( Calhoun et al, 2015 ), and that planning in volatile environments leverages patchy habitat statistics with processing over the cognitive map and visual sensorium ( Mugan and MacIver, 2020 ). Appendix 5 explores connections between our approach and stochastic models more generally, including some limited data indicating that energy-constrained proportional betting may also predict behavior during searching for targets outside of sensory range ( Figure 6—figure supplement 5 ).…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, computational models have found that the usefulness of planning is directly tied to visual range. Visual range in water is so poor that computational models suggest planning in water is barely useful at all ( Mugan and MacIver, 2020 ), whereas on land, such planning is highly adaptive.…”
Section: Behavioral Abilities That Emerged In Early Mammalsmentioning
confidence: 99%