Document of bibliographic reference 313226

BibliographicReference record

Type

Bibliographic resource

Type of document

Journal article

BibLvlCode

AS

Title

Reply to ‘Dissimilarity measures affected by richness differences yield biased delimitations of biogeographic realms’

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.

WebOfScience code

https://www.webofscience.com/wos/woscc/full-record/WOS:000451740400004

Bibliographic citation

Costello, M.J.; Tsai, P.; Cheung, A.K.L.; Basher, Z.; Chaudhary, C. (2018). Reply to ‘Dissimilarity measures affected by richness differences yield biased delimitations of biogeographic realms’. Nature Comm. 9(1): 5085. https://dx.doi.org/10.1038/s41467-018-07252-4

Topic

Marine

Is peer reviewed

true

Access rights

open access

Is accessible for free

true