Artículo

Detecting areas of endemism with a taxonomically diverse data set: plants, mammals, reptiles, amphibians, birds and insects from Argentina

Szumik, Claudia Adriana Icon; Aagesen, Lone Icon; Casagranda, Maria Dolores Icon; Arzamendia, Vanesa Icon; Baldo, Juan Diego Icon; Claps, Lucia Elena Icon; Cuezzo, Fabiana del Carmen Icon; Diaz Gomez, Juan Manuel Icon; Di Giacomo, Adrián ; Giraudo, Alejandro Raul Icon; Goloboff, Pablo Augusto Icon; Gramajo, Cecilia ; Kopuchian, Cecilia Icon; Ziert Kretzschmar, Sonia ; Lizarralde, Mercedes Sara Icon; Molina, María Alejandra Icon; Mollerach, Marcos Ismale ; Navarro, Fernando Ruben Icon; Nomdedeu, Soledad María Icon; Panizza , Adela Maria Icon; Pereyra, Verónica ; Sandoval, María ; Scrocchi Manfrini, Gustavo Jose Icon; Zuloaga, Fernando Omar Icon

Otros responsables

Fecha

06/2012

Editorial

Wiley Blackwell Publishing, Inc

Revista

Cladistics

Título del libro

Nombre del evento

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Institución organizadora

ISSN

0748-3007

eISSN

ISBN

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

The idea of an area of endemism implies that different groups of plants and animals should have largely coincident distributions. This paper analyses an area of 1152000km 2, between parallels 21 and 32°S and meridians 70 and 53°W to examine whether a large and taxonomically diverse data set actually displays areas supported by different groups. The data set includes the distribution of 805 species of plants (45 families), mammals (25 families), reptiles (six families), amphibians (five families), birds (18 families), and insects (30 families), and is analysed with the optimality criterion (based on the notion of endemism) implemented in the program NDM/VNDM. Almost 50% of the areas obtained are supported by three or more major groups; areas supported by fewer major groups generally contain species from different genera, families, or orders.

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Licencia Creative Commons

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