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Imputation of environmental variables for vegetation plots based on compositional similarity
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SYSNO ASEP 0369228 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Imputation of environmental variables for vegetation plots based on compositional similarity Author(s) Tichý, L. (CZ)
Hájek, Michal (BU-J) RID
Zelený, D. (CZ)Number of authors 3 Source Title Journal of Vegetation Science. - : Wiley - ISSN 1100-9233
Roč. 21, č. 1 (2010), s. 88-95Number of pages 8 s. Language eng - English Country SE - Sweden Keywords Ellenberg indicator values ; phytosociology ; water pH Subject RIV EF - Botanics CEZ AV0Z60050516 - BU-J (2005-2011) UT WOS 000273668300009 DOI 10.1111/j.1654-1103.2009.01126.x Annotation Vegetation plot data combined with measured environmental variables such as soil pH or conductivity are often used for gradient analyses, species response modelling, quantifying recent vegetation change and prediction of plant species composition. Large vegetation databases contain high numbers of plots, but only small subsets with measured environmental data. To obtain broader datasets, researchers often use expert-based plant indicator values as surrogates of measured factors. Alternatively, missing environmental factors for vegetation plots may be estimated by imputation. In this study we tested whether imputation provides more exact approximations than do indicator values. We developed a simple imputation method based on vegetation plot similarity that estimates the missing environmental variables for vegetation plots, and named it the MOSS (mean of similar samples) method. Workplace Institute of Botany Contact Martina Bartošová, martina.bartosova@ibot.cas.cz, ibot@ibot.cas.cz, Tel.: 271 015 242 ; Marie Jakšová, marie.jaksova@ibot.cas.cz, Tel.: 384 721 156-8 Year of Publishing 2012
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