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The use of machine learning to detect foraging behaviour in whale sharks: a new tool in conservation.

التفاصيل البيبلوغرافية
العنوان: The use of machine learning to detect foraging behaviour in whale sharks: a new tool in conservation.
المؤلفون: Whitehead DA; Pelagios Kakunjá A.C., La Paz, Mexico.; Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas, La Paz, Mexico., Magaña FG; Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas, La Paz, Mexico., Ketchum JT; Pelagios Kakunjá A.C., La Paz, Mexico., Hoyos EM; Pelagios Kakunjá A.C., La Paz, Mexico., Armas RG; Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas, La Paz, Mexico., Pancaldi F; Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas, La Paz, Mexico., Olivier D; Departamento Académico de Ciencias Marinas y Costeras, Universidad Autónoma de Baja California Sur, La Paz, Mexico.; Consejo Nacional de Ciencia y Tecnología, Ciudad de México, Mexico.
المصدر: Journal of fish biology [J Fish Biol] 2021 Mar; Vol. 98 (3), pp. 865-869. Date of Electronic Publication: 2020 Oct 27.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Blackwell Publishing Country of Publication: England NLM ID: 0214055 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8649 (Electronic) Linking ISSN: 00221112 NLM ISO Abbreviation: J Fish Biol Subsets: MEDLINE
أسماء مطبوعة: Publication: 2003- : Oxford, UK : Blackwell Publishing
Original Publication: London, New York, Published for the Fisheries Society of the British Isles by Academic Press.
مواضيع طبية MeSH: Machine Learning*, Conservation of Natural Resources/*methods , Feeding Behavior/*physiology , Sharks/*physiology, Animals
مستخلص: In this study we present the first attempt at modelling the feeding behaviour of whale sharks using a machine learning analytical method. A total of eight sharks were monitored with tri-axial accelerometers and their foraging behaviours were visually observed. Our results highlight that the random forest model is a valid and robust approach to predict the feeding behaviour of the whale shark. In conclusion this novel approach exposes the practicality of this method to serve as a conservation tool and the capability it offers in monitoring potential disturbances of the species.
(© 2020 Fisheries Society of the British Isles.)
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معلومات مُعتمدة: Fieldwork was supported by the Instituto Politecnico Nacional, Centro Interdisciplinario de Ciencias Marinas (CICIMAR), projects SIP-20170585, SIP 20181417 and 20196736. Thanks to Robert Cooper for technical support and to CONACYT for study fellowships to D.W., F.P. and F.G.M. R.G.A. thank the Instituto Politecnico Nacional for a fellowship (COFAA, EDI).
فهرسة مساهمة: Keywords: acceleration data logger; biologging tool; endangered species; shark conservation
تواريخ الأحداث: Date Created: 20201015 Date Completed: 20210426 Latest Revision: 20210426
رمز التحديث: 20240628
DOI: 10.1111/jfb.14589
PMID: 33058201
قاعدة البيانات: MEDLINE
الوصف
تدمد:1095-8649
DOI:10.1111/jfb.14589