Dataset Information

Integrating vision and echolocation for navigation and perception in bats.

ABSTRACT: How animals integrate information from various senses to navigate and generate perceptions is a fundamental question. Bats are ideal animal models to study multisensory integration due to their reliance on vision and echolocation, two modalities that allow distal sensing with high spatial resolution. Using three behavioral paradigms, we studied different aspects of multisensory integration in Egyptian fruit bats. We show that bats learn the three-dimensional shape of an object using vision only, even when using both vision and echolocation. Nevertheless, we demonstrate that they can classify objects using echolocation and even translate echoic information into a visual representation. Last, we show that in navigation, bats dynamically switch between the modalities: Vision was given more weight when deciding where to fly, while echolocation was more dominant when approaching an obstacle. We conclude that sensory integration is task dependent and that bimodal information is weighed in a more complex manner than previously suggested.

SUBMITTER: Danilovich S

PROVIDER: S-EPMC6594759 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Integrating vision and echolocation for navigation and perception in bats.

Danilovich S S Yovel Y Y

Science advances 20190626 6

How animals integrate information from various senses to navigate and generate perceptions is a fundamental question. Bats are ideal animal models to study multisensory integration due to their reliance on vision and echolocation, two modalities that allow distal sensing with high spatial resolution. Using three behavioral paradigms, we studied different aspects of multisensory integration in Egyptian fruit bats. We show that bats learn the three-dimensional shape of an object using vision only, ...[more]

PMID: 31249874

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Project description:All organisms have specialized systems to sense their environment. Most bat species use echolocation for navigation and foraging, but which and how ecological factors shaped echolocation call diversity remains unclear for the most diverse clades, including the adaptive radiation of neotropical leaf-nosed bats (Phyllostomidae). This is because phyllostomids emit low-intensity echolocation calls and many inhabit dense forests, leading to low representation in acoustic surveys. We present a field-collected, echolocation call dataset spanning 35 species and all phyllostomid dietary guilds. We analyze these data under a phylogenetic framework to test the hypothesis that echolocation call design and parameters are specialized for the acoustic demands of different diets, and investigate the contributions of phylogeny and body size to echolocation call diversity. We further link call parameters to dietary ecology by contrasting minimum detectable prey size estimates (MDPSE) across species. We find phylogeny and body size explain a substantial proportion of echolocation call parameter diversity, but most species can be correctly assigned to taxonomic (61%) or functional (77%) dietary guilds based on call parameters. This suggests a degree of acoustic ecological specialization, albeit with interspecific similarities in call structure. Theoretical MDPSE are greatest for omnivores and smallest for insectivores. Omnivores significantly differ from other dietary guilds in MDPSE when phylogeny is not considered, but there are no differences among taxonomic dietary guilds within a phylogenetic context. Similarly, predators of non-mobile/non-evasive prey and predators of mobile/evasive prey differ in estimated MDPSE when phylogeny is not considered. Phyllostomid echolocation call structure may be primarily specialized for overcoming acoustic challenges of foraging in dense habitats, and then secondarily specialized for the detection of food items according to functional dietary guilds. Our results give insight into the possible ecological mechanisms shaping the diversity of sensory systems, and their reciprocal influence on resource use.

Dataset Information

Integrating vision and echolocation for navigation and perception in bats.

Publications

Integrating vision and echolocation for navigation and perception in bats.

Similar Datasets

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