English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/111709
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Biogeography of western Mediterranean butterflies: Combining turnover and nestedness components of faunal dissimilarity

AuthorsDapporto, Leonardo; Fattorini, Simone; Vodă, Raluca ; Dincă, Vlad ; Vila, Roger
KeywordsWestern Mediterranean
Beta diversity
Turnover
Regionalization
Nestedness
Mainland regions
Butterflies
Faunal dissimilarity
Island biogeography
Issue DateSep-2014
PublisherWiley-Blackwell
CitationJournal of Biogeography 41(9): 1639-1650 (2014)
Abstract[Aim] Unpartitioned dissimilarity indices such as the Sørensen index (βsor) tend to categorize areas according to species number. The use of turnover indices, such as the Simpson index (βsimp), may lead to the loss of important information represented by the nestedness component (βnest). Recent studies have suggested the importance of integrating nestedness and turnover information. We evaluated this proposition by comparing biogeographical patterns obtained by unpartitioned (βsor) and partitioned indices (βsimp and βnest) on presence data of western Mediterranean butterflies.
[Location] Western Mediterranean.
[Methods] We assessed the regionalization of 81 mainland and island faunas according to partitioned and unpartitioned dissimilarity by using cluster analyses with the unweighted pair-group method using arithmetic averages (UPGMA) combined with non-metric multidimensional scaling (NMDS). We also carried out dissimilarity interpolation for βsor, βsimp, βnest and the βnest/βsor ratio, to identify geographical patterns of variation in faunal dissimilarity.
[Results] When the unpartitioned βsor index was used, the clustering of sites allowed a clear distinction between insular and mainland species assemblages. Most islands were grouped together, irrespective of their mainland source, because of the dominant effect of their shared low richness. βsimp was the most effective index for clustering islands with their respective mainland source. βsimp clustered mainland sites into broader regions than clusters obtained using βsor. A comparison of regionalization and interpolation provided complementary information and revealed that, in different regions, the patterns highlighted by βsor could largely be determined either by nestedness or turnover.
[Main conclusions] Partitioned and unpartitioned indices convey complementary information, and are able to reveal the influence of historical and ecological processes in structuring species assemblages. When the effect of nestedness is strong, the exclusive use of turnover indices can generate geographically coherent groupings, but can also result in the loss of important information. Indeed, various factors, such as colonization-extinction events, climatic parameters and the peninsular effect, may determine dissimilarity patterns expressed by the nestedness component. © 2014 John Wiley & Sons Ltd.
Publisher version (URL)http://dx.doi.org/10.1111/jbi.12315
URIhttp://hdl.handle.net/10261/111709
DOI10.1111/jbi.12315
Identifiersdoi: 10.1111/jbi.12315
issn: 1365-2699
e-issn: 1365-2699
Appears in Collections:(IBE) Artículos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.