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• W2325883609 abstract "DAO Diseases of Aquatic Organisms Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials DAO 113:177-185 (2015) - DOI: https://doi.org/10.3354/dao02838 Predicting the potential distribution of the amphibian pathogen Batrachochytrium dendrobatidis in East and Southeast Asia Sachiko Moriguchi1,5,*, Atsushi Tominaga2, Kelly J. Irwin3, Michael J. Freake4, Kazutaka Suzuki1, Koichi Goka1 1Invasive Alien Species Research Team, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan 2Department of Natural Sciences, Faculty of Education, University of the Ryukyus, Senbaru 1, Nishihara, Okinawa 901-0213, Japan 3Arkansas Game and Fish Commission, 915 East Sevier Street, Benton, Arkansas 72015, USA 4Department of Natural Science and Mathematics, Lee University, 1120 Ocoee Street, Cleveland, Tennessee 37311, USA 5Present address: Viral Diseases and Epidemiology Research Division, National Institute of Animal Health, National Agriculture and Food Research Organization, 3-1-5, Kannondai, Tsukuba, Ibaraki, 305-0856, Japan *Corresponding author: rustica79@yahoo.co.jp ABSTRACT: Batrachochytrium dendrobatidis (Bd) is the pathogen responsible for chytridiomycosis, a disease that is associated with a worldwide amphibian population decline. In this study, we predicted the potential distribution of Bd in East and Southeast Asia based on limited occurrence data. Our goal was to design an effective survey area where efforts to detect the pathogen can be focused. We generated ecological niche models using the maximum-entropy approach, with alleviation of multicollinearity and spatial autocorrelation. We applied eigenvector-based spatial filters as independent variables, in addition to environmental variables, to resolve spatial autocorrelation, and compared the model’s accuracy and the degree of spatial autocorrelation with those of a model estimated using only environmental variables. We were able to identify areas of high suitability for Bd with accuracy. Among the environmental variables, factors related to temperature and precipitation were more effective in predicting the potential distribution of Bd than factors related to land use and cover type. Our study successfully predicted the potential distribution of Bd in East and Southeast Asia. This information should now be used to prioritize survey areas and generate a surveillance program to detect the pathogen. KEY WORDS: Bd · Chytrid fungus · Chytridiomycosis · Eigenvector-based spatial filtering · Species distribution model · Niche modeling · MaxEnt Full text in pdf format NextCite this article as: Moriguchi S, Tominaga A, Irwin KJ, Freake MJ, Suzuki K, Goka K (2015) Predicting the potential distribution of the amphibian pathogen Batrachochytrium dendrobatidis in East and Southeast Asia. Dis Aquat Org 113:177-185. https://doi.org/10.3354/dao02838 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in DAO Vol. 113, No. 3. Online publication date: April 08, 2015 Print ISSN: 0177-5103; Online ISSN: 1616-1580 Copyright © 2015 Inter-Research." @default.
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• W2325883609 title "Predicting the potential distribution of the amphibian pathogen Batrachochytrium dendrobatidis in East and Southeast Asia" @default.
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