PERSONAL DE APOYO
MOLINA Maria Alejandra
artículos
Título:
Detecting areas of endemism with a taxonomically diverse data set: plants, mammals, reptiles, amphibians, birds, and insects
Autor/es:
CLAUDIA SZUMIK; LONE AAGESEN; DOLORES CASAGRANDA; VANESA ARZAMENDIA; DIEGO BALDO; LUCÍA E. CLAPS; FABIANA CUEZZO; JUAN M. DÍAZ GÓMEZ; ADRIÁN DI GIACOMO; ALEJANDRO GIRAUDO; PABLO GOLOBOFF; CECILIA GRAMAJO; CECILIA KOPUCHIAN; SONIA KRETZSCHMAR; MERCEDES LIZARRALDE; M. ALEJANDRA MOLINA; MARCOS MOLLERACH; FERNANDO NAVARRO; SOLEDAD NOMDEDEUB; ADELA PANIZZA; VERÓNICA V. PEREYRA; MARÍA SANDOVAL; GUSTAVO SCROCCHI; FERNANDO O. ZULOAGA
Revista:
CLADISTICS (PRINT)
Editorial:
WILEY-BLACKWELL PUBLISHING, INC
Referencias:
Lugar: Londres; Año: 2012 vol. 28 p. 317 - 329
ISSN:
0748-3007
Resumen:
The idea of an area of endemism umplies that defferent groups of plants and animals should have largely coincident distributions. This paper analyses an area of 1152000 km2, 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), amphians (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 NDMM/VNDM. Almost 50 % of the areas obtained are supported by three or more major groups; areas supported by fewer mayor groups generally contain species from different genera, families, or orders.