Detecting areas of endemism with a taxonomically diverse data set: plants, mammals, reptiles, amphibians, birds and insects from Argentina
; Aagesen, Lone
; Casagranda, Maria Dolores
; Arzamendia, Vanesa
; Baldo, Juan Diego
; Claps, Lucia Elena
; Cuezzo, Fabiana del Carmen
; Diaz Gomez, Juan Manuel
; Di Giacomo, Adrián ; Giraudo, Alejandro Raul
; Goloboff, Pablo Augusto
; Gramajo, Cecilia ; Kopuchian, Cecilia
; Ziert Kretzschmar, Sonia ; Lizarralde, Mercedes Sara
; Molina, María Alejandra
; Mollerach, Marcos Ismale ; Navarro, Fernando Ruben
; Nomdedeu, Soledad María
; Panizza , Adela Maria
; Pereyra, Verónica ; Sandoval, María ; Scrocchi Manfrini, Gustavo Jose
; Zuloaga, Fernando Omar 
Otros responsables
Fecha
06/2012
Editorial
Wiley Blackwell Publishing, Inc
Revista
Cladistics
Título del libro
Nombre del evento
Fecha del evento
Institución organizadora
ISSN
0748-3007
eISSN
ISBN
Idioma
Inglés
Tipo del evento
Clasificación temática
Palabras clave
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.
Aprobación
Revisión
Complementado por
Referenciado por
Licencia Creative Commons
Excepto donde se indique lo contrario, la licencia de este ítem se describe como by-nc-sa
