JOURNAL ARTICLE
A road map of jumping spider behavior.
Published In: Journal of Arachnology, 2023. P. 139 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Nelson, Ximena J. 3 of 3
Abstract
The largest family of spiders, jumping spiders (Salticidae), is known for performing complex visually mediated predatory and courtship behavior. As cursorial predators, they rely on their sensory systems to identify objects at a distance. Based on these assessments, salticids perform flexible and target-specific behavioral sequences which demonstrate a high level of cognitive processing. Recent studies have highlighted the role of other sensory modalities in these processes, such as chemoreception and mechanoreception, and elucidated the visual cues used for object identification, including motion, color, contrast, and shape-based cues. Until recently, sensory modalities other than vision were largely overlooked, but current advances in technology now allow us to probe their sensory and cognitive capabilities, as well as how these are shaped by experience. In this review, I provide an overview of current knowledge of salticid behavior and the sensory systems underpinning this behavior, and highlight areas in need of further research. This review focusses on our understanding of salticid communication, parental behavior, personality, antipredator behavior, and diet, as well as habitat selection. I argue that a historical vision-based focus on a small number of species due to their coloration or their unusual behavior provides a springboard for a deeper understanding of the general cognitive and sensory attributes that have evolved in this lineage, of which we yet have much to learn. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Arachnology. 2023/11, p139
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2023
- ISSN:0161-8202
- DOI:10.1636/JoA-S-22-011
- Accession Number:173740533
- Copyright Statement:Copyright of Journal of Arachnology is the property of American Arachnological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.