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Article: Ant-observer: A new approach for automatic acquisition and autonomous analyses of individual species abundance and interactions

TitleAnt-observer: A new approach for automatic acquisition and autonomous analyses of individual species abundance and interactions
Authors
KeywordsAnt behavior
Ant ecology
Caste/body-size discrimination
Interspecific competition
Media processing
Post-hoc analyses
Issue Date1-Sep-2024
PublisherElsevier
Citation
Ecological Informatics, 2024, v. 82 How to Cite?
Abstract

Traditional methods, such as direct observations or manually photographing bait stations, are limited in both data collection efficiency and accuracy. Consequently, they fail to capture the dynamic changes and complex relationships between ant species. We developed a novel system as a potential solution that combines processed consumer-grade camera equipment and software that acquires data needed for in situ experiments. This software features a user-friendly graphics user interface (GUI) for data collection and post-hoc analysis from videos captured by the camera equipment. Researchers can use this system to (1) count species abundance per frame; (2) calculate species speed; (3) detect ant interactions; and (4) count the abundance of different subcastes within species on baits. To demonstrate the complete workflow, we applied this system on ant videos collected in Hong Kong. Practical guides (supplement materials) detailing suggestions for camera equipment and software operations in both field and laboratory studies are provided. We present the results of ten in situ experiments of ants (each lasting 1–1.5 h) conducted in Hong Kong though processed consumer-grade camera equipment, with videos analyzed using the newly developed software. The analysis captured a range of variables related to ant foraging behavior, including resource discovery time, nestmate recruitment rate, and interspecific interactions. Our results confirm that the developed software provides an integrated and efficient approach for data collection, extraction, and analysis in in situ experiments, enhancing the capabilities of insect ecology research.


Persistent Identifierhttp://hdl.handle.net/10722/359326
ISSN
2023 Impact Factor: 5.8
2023 SCImago Journal Rankings: 1.101

 

DC FieldValueLanguage
dc.contributor.authorHu, Jiaxin-
dc.contributor.authorBogar, Taylor A.-
dc.contributor.authorGu, Yi Fei-
dc.contributor.authorGuénard, Benoit-
dc.date.accessioned2025-08-30T00:30:13Z-
dc.date.available2025-08-30T00:30:13Z-
dc.date.issued2024-09-01-
dc.identifier.citationEcological Informatics, 2024, v. 82-
dc.identifier.issn1574-9541-
dc.identifier.urihttp://hdl.handle.net/10722/359326-
dc.description.abstract<p>Traditional methods, such as direct observations or manually photographing bait stations, are limited in both data collection efficiency and accuracy. Consequently, they fail to capture the dynamic changes and complex relationships between ant species. We developed a novel system as a potential solution that combines processed consumer-grade camera equipment and software that acquires data needed for in situ experiments. This software features a user-friendly graphics user interface (GUI) for data collection and post-hoc analysis from videos captured by the camera equipment. Researchers can use this system to (1) count species abundance per frame; (2) calculate species speed; (3) detect ant interactions; and (4) count the abundance of different subcastes within species on baits. To demonstrate the complete workflow, we applied this system on ant videos collected in Hong Kong. Practical guides (supplement materials) detailing suggestions for camera equipment and software operations in both field and laboratory studies are provided. We present the results of ten in situ experiments of ants (each lasting 1–1.5 h) conducted in Hong Kong though processed consumer-grade camera equipment, with videos analyzed using the newly developed software. The analysis captured a range of variables related to ant foraging behavior, including resource discovery time, nestmate recruitment rate, and interspecific interactions. Our results confirm that the developed software provides an integrated and efficient approach for data collection, extraction, and analysis in in situ experiments, enhancing the capabilities of insect ecology research.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofEcological Informatics-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAnt behavior-
dc.subjectAnt ecology-
dc.subjectCaste/body-size discrimination-
dc.subjectInterspecific competition-
dc.subjectMedia processing-
dc.subjectPost-hoc analyses-
dc.titleAnt-observer: A new approach for automatic acquisition and autonomous analyses of individual species abundance and interactions-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.ecoinf.2024.102752-
dc.identifier.scopuseid_2-s2.0-85200817418-
dc.identifier.volume82-
dc.identifier.eissn1878-0512-
dc.identifier.issnl1574-9541-

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