Incorporating spatial autocorrelation in rarefaction methods: Implications for ecologists and conservation biologists
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- 作者：Giovanni Bacaroa ; gbacaro@units.it" class="auth_mail" title="E-mail the corresponding author ; Alfredo Altobellia ; Michela Camelettib ; Daniela Ciccarellic ; Stefano Martellosa ; Michael W. Palmerd ; Carlo Ricottae ; Duccio Rocchinif ; Samuel M. Scheinerg ; Enrico Tordonia ; Alessandro Chiaruccih
- 关键词：RC ; rarefaction curve ; SA ; spatial autocorrelation ; SER ; Spatially Explicit Rarefaction ; SCI ; Site of Community Importance
- 刊名：Ecological Indicators
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：69
- 期：Complete
- 页码：233-238
- 全文大小：901 K
文摘
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Classic rarefaction methods were shown to be susceptible to spatial autocorrelation.
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Spatially Explicit Rarefactions account for the spatial autocorrelation in community data.
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Including spatial autocorrelation into rarefactions change the way nature reserves are prioritized.