Analyzing community structure subject to incomplete sampling hierarchical community model vs. canonical ordinations

Recently developing hierarchical community models (HCMs) accounting for incomplete sampling are promising approaches to understand community organization. However, pros and cons of incorporating incomplete sampling in the analysis and related design issues remain unknown. In this study, we compared...

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Bibliographic Details
Published in:	Ecology (Durham) Vol. 100; no. 8; pp. 1 - 14
Main Authors:	Yamaura, Yuichi, Blanchet, F. Guillaume, Higa, Motoki
Format:	Journal Article
Language:	English
Published:	United States John Wiley and Sons, Inc 01.08.2019 Ecological Society of America
Subjects:	Abundance Coefficients Colorado Communities Community structure Computer simulation Constituents correlation matrix covariance matrix Dependence dissimilarity coefficient Environmental assessment Estimates hierarchical community model (HCM) islands Mathematical models Models, Biological N‐mixture model Parameter estimation partial RDA Redundancy redundancy analysis (RDA) RV coefficient Sampling sampling design sampling effort Species surveys trees triplot weighted RDA Colorado N-mixture model sampling effort hierarchical community model (HCM) RV coefficient dissimilarity coefficient partial RDA correlation matrix triplot weighted RDA redundancy analysis (RDA) covariance matrix sampling design
ISSN:	0012-9658, 1939-9170, 1939-9170
Online Access:	Get full text
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