The aim of this article was to test the way in which geographical factors influence island floras in the Mediterranean basin, using ferns as target organisms, and the islands surrounding Sicily as location. A matrix with presence/absence data concerning fern taxa in the 16 islands studied was compiled. Cluster analysis, principal co-ordinates analysis (PCoA), principal components analysis (PCA) and a Bayesian analysis were performed. For each island, the total number of fern taxa was regressed against three factors: island area, island elevation and isolation. All the analyses pointed to affinities between islands according to their different geological composition, independently from their geographic position. A clear positive island species/area relationship (ISAR) was shown only for the volcanic islands. The island species/(area6elevation) relationship (ISAER), on the contrary, was unsatisfactory. The main features of interest are the following: (1) the clear division of the islands into two groups, volcanic vs. sedimentary; (2) the floristic richness of the volcanic compared to sedimentary islands and (3) the uniqueness of the pteridophyte flora of Pantelleria. This seems to demonstrate that the lower number of taxa in the islands farthest away from the ‘‘mainland’’ (Sicily, Tunisia) is not due to isolation, but due to another factor, probably habitat availability.

Troia, A., Raimondo, F.M., & Mazzola, P. (2012). Mediterranean island biogeography: Analysis of fern species distribution in the system of islets around Sicily. PLANT BIOSYSTEMS, 146(3), 576-585 [10.1080/11263504.2011.596168].

Mediterranean island biogeography: Analysis of fern species distribution in the system of islets around Sicily

TROIA, Angelo;RAIMONDO, Francesco Maria;MAZZOLA, Pietro
2012

Abstract

The aim of this article was to test the way in which geographical factors influence island floras in the Mediterranean basin, using ferns as target organisms, and the islands surrounding Sicily as location. A matrix with presence/absence data concerning fern taxa in the 16 islands studied was compiled. Cluster analysis, principal co-ordinates analysis (PCoA), principal components analysis (PCA) and a Bayesian analysis were performed. For each island, the total number of fern taxa was regressed against three factors: island area, island elevation and isolation. All the analyses pointed to affinities between islands according to their different geological composition, independently from their geographic position. A clear positive island species/area relationship (ISAR) was shown only for the volcanic islands. The island species/(area6elevation) relationship (ISAER), on the contrary, was unsatisfactory. The main features of interest are the following: (1) the clear division of the islands into two groups, volcanic vs. sedimentary; (2) the floristic richness of the volcanic compared to sedimentary islands and (3) the uniqueness of the pteridophyte flora of Pantelleria. This seems to demonstrate that the lower number of taxa in the islands farthest away from the ‘‘mainland’’ (Sicily, Tunisia) is not due to isolation, but due to another factor, probably habitat availability.
Settore BIO/02 - Botanica Sistematica
Settore BIO/03 - Botanica Ambientale E Applicata
Troia, A., Raimondo, F.M., & Mazzola, P. (2012). Mediterranean island biogeography: Analysis of fern species distribution in the system of islets around Sicily. PLANT BIOSYSTEMS, 146(3), 576-585 [10.1080/11263504.2011.596168].
File in questo prodotto:
File Dimensione Formato  
Troia et al 2012 island ferns PL BIOSYST 146 3 576_585.pdf

Solo gestori archvio

Descrizione: articolo
Dimensione 470.91 kB
Formato Adobe PDF
470.91 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/69110
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 11
social impact