When dissimilarity matrices of faunistic and phylogenetic beta-diversity turnover indices are projected in dendrograms, a high frequency of ties and zero values produces trees whose topology and bootstrap support are affected by the order of areas in the original presence–absence matrix. We tested the magnitude of this bias and developed R functions to obtain consensus trees after shuffling of matrix row order and applied this algorithm to a multiscale bootstrap procedure. Our functions not only solve the bias of row order but, owing to varying support for different bootstrap scales, reveal fundamental characteristics about the structure of species assemblages.

recluster: an unbiased clustering procedure for beta-diversity turnover / Leonardo Dapporto;Matteo Ramazzotti;Simone Fattorini;Gerard Talavera;Roger Vila;Roger L. H. Dennis. - In: ECOGRAPHY. - ISSN 0906-7590. - STAMPA. - 36:(2013), pp. 1070-1075. [10.1111/j.1600-0587.2013.00444.x]

recluster: an unbiased clustering procedure for beta-diversity turnover

DAPPORTO, LEONARDO;RAMAZZOTTI, MATTEO;
2013

Abstract

When dissimilarity matrices of faunistic and phylogenetic beta-diversity turnover indices are projected in dendrograms, a high frequency of ties and zero values produces trees whose topology and bootstrap support are affected by the order of areas in the original presence–absence matrix. We tested the magnitude of this bias and developed R functions to obtain consensus trees after shuffling of matrix row order and applied this algorithm to a multiscale bootstrap procedure. Our functions not only solve the bias of row order but, owing to varying support for different bootstrap scales, reveal fundamental characteristics about the structure of species assemblages.
2013
36
1070
1075
Leonardo Dapporto;Matteo Ramazzotti;Simone Fattorini;Gerard Talavera;Roger Vila;Roger L. H. Dennis
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/822811
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