An analytical framework for estimating aquatic species density from environmental DNA

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Use this link to cite this item : https://ir.lib.shimane-u.ac.jp/53202

language	eng
Author	Chambert Thierry Ecosystem Science and Management, Pennsylvania State University, University Park, PA, USA CEFE, Univ Montpellier, CNRS, Univ Paul Valéry Montpellier 3, EPHE, IRD, Montpellier, France Pilliod David S. Forest and Rangeland Ecosystem Science Center, U.S. Geological Survey, Boise, ID, USA Goldberg Caren S. School of the Environment, Washington State University, Pullman, WA, USA Doi Hideyuki Graduate School of Simulation Studies, University of Hyogo, Chuo-ku, Kobe, Japan Takahara, Teruhiko
Subject	aquatic ecosystems; detection; eDNA; lentic systems; lotic systems; negative binomial model; population density; species abundance
Journal Title	ECOLOGY AND EVOLUTION
Volume	8
Issue	6
Start Page	3468
End Page	3477
ISSN	2045-7758
Published Date	2018-03
DOI	10.1002/ece3.3764
PubMed ID	29607039
Publisher	WILEY
NII Type	Journal Article
OAI-PMH Set	Faculty of Life and Environmental Science
Remark	U.S. Geological Survey-Amphibian Research and Monitoring Initiative (ARMI); Environment Research and Technology Development Fund, Grant/Award Number: 4-1602; Ministry of the Environment, Japan and the Core Research for Evolutional Science and Technology (CREST) program from the Japan Science and Technology Agency