Reply to 'Dissimilarity measures affected by richness differences yield biased delimitations of biogeographic realms'.

Show simple item record Costello, Mark en Tsai, Peter en Cheung, Alan Kwok Lun en Basher, Zeenatul en Chaudhary, Chhaya en 2019-05-28T21:37:30Z en 2018-11-30 en
dc.identifier.citation Nature communications 9(1):5085 30 Nov 2018 en
dc.identifier.issn 2041-1723 en
dc.identifier.uri en
dc.description.abstract Recently, we classified the oceans into 30 biogeographic realms based on species' endemicity. Castro-Insua et al. criticize the choices of dissimilarity coefficients and clustering approaches used in our paper, and reanalyse the data using alternative techniques. Here, we explain how the approaches used in our original paper yield results in line with existing biogeographical knowledge and are robust to alternative methods of analysis. We also repeat the analysis using several similarity coefficients and clustering algorithms, and a neural network theory method. Although each combination of methods produces outputs differing in detail, the overall pattern of realms is similar. The coarse nature of the present boundaries of the realms reflects the limited field data but may be improved with additional data and mapping to environmental variables. en
dc.format.medium Electronic en
dc.language eng en
dc.relation.ispartofseries Nature communications en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.rights.uri en
dc.subject Cluster Analysis en
dc.subject Algorithms en
dc.subject Neural Networks, Computer en
dc.title Reply to 'Dissimilarity measures affected by richness differences yield biased delimitations of biogeographic realms'. en
dc.type Journal Article en
dc.identifier.doi 10.1038/s41467-018-07252-4 en
pubs.issue 1 en
pubs.begin-page 5085 en
pubs.volume 9 en
dc.rights.holder Copyright: The authors en
pubs.publication-status Published en
dc.rights.accessrights en
pubs.subtype Letter en
pubs.subtype Comment en
pubs.elements-id 757604 en Medical and Health Sciences en School of Medicine en Obstetrics and Gynaecology en Science en School of Environment en
dc.identifier.eissn 2041-1723 en
pubs.record-created-at-source-date 2018-12-04 en
pubs.dimensions-id 30504796 en

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