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

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...

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Detalles Bibliográficos
Autores principales: Di Giacomo, Adrián Santiago, Goloboff, Pablo A., Kopuchian, Cecilia
Publicado: 2012
Materias:
amphibian
bird
data set
detection method
endemism
insect
mammal
plant
reptile
taxonomy
Argentina
Amphibia
Animalia
Aves
Hexapoda
Mammalia
Reptilia
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_07483007_v28_n3_p317_Szumik
http://hdl.handle.net/20.500.12110/paper_07483007_v28_n3_p317_Szumik
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_07483007_v28_n3_p317_Szumik
record_format dspace
spelling paper:paper_07483007_v28_n3_p317_Szumik2023-06-08T15:45:15Z Detecting areas of endemism with a taxonomically diverse data set: Plants, mammals, reptiles, amphibians, birds, and insects from Argentina Di Giacomo, Adrián Santiago Goloboff, Pablo A. Kopuchian, Cecilia amphibian bird data set detection method endemism insect mammal plant reptile taxonomy Argentina Amphibia Animalia Aves Hexapoda Mammalia Reptilia 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. © 2011 The Willi Hennig Society. Fil:Di Giacomo, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Goloboff, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Kopuchian, C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_07483007_v28_n3_p317_Szumik http://hdl.handle.net/20.500.12110/paper_07483007_v28_n3_p317_Szumik
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic amphibian
bird
data set
detection method
endemism
insect
mammal
plant
reptile
taxonomy
Argentina
Amphibia
Animalia
Aves
Hexapoda
Mammalia
Reptilia
spellingShingle amphibian
bird
data set
detection method
endemism
insect
mammal
plant
reptile
taxonomy
Argentina
Amphibia
Animalia
Aves
Hexapoda
Mammalia
Reptilia
Di Giacomo, Adrián Santiago
Goloboff, Pablo A.
Kopuchian, Cecilia
Detecting areas of endemism with a taxonomically diverse data set: Plants, mammals, reptiles, amphibians, birds, and insects from Argentina
topic_facet amphibian
bird
data set
detection method
endemism
insect
mammal
plant
reptile
taxonomy
Argentina
Amphibia
Animalia
Aves
Hexapoda
Mammalia
Reptilia
description 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. © 2011 The Willi Hennig Society.
author Di Giacomo, Adrián Santiago
Goloboff, Pablo A.
Kopuchian, Cecilia
author_facet Di Giacomo, Adrián Santiago
Goloboff, Pablo A.
Kopuchian, Cecilia
author_sort Di Giacomo, Adrián Santiago
title Detecting areas of endemism with a taxonomically diverse data set: Plants, mammals, reptiles, amphibians, birds, and insects from Argentina
title_short Detecting areas of endemism with a taxonomically diverse data set: Plants, mammals, reptiles, amphibians, birds, and insects from Argentina
title_full Detecting areas of endemism with a taxonomically diverse data set: Plants, mammals, reptiles, amphibians, birds, and insects from Argentina
title_fullStr Detecting areas of endemism with a taxonomically diverse data set: Plants, mammals, reptiles, amphibians, birds, and insects from Argentina
title_full_unstemmed Detecting areas of endemism with a taxonomically diverse data set: Plants, mammals, reptiles, amphibians, birds, and insects from Argentina
title_sort detecting areas of endemism with a taxonomically diverse data set: plants, mammals, reptiles, amphibians, birds, and insects from argentina
publishDate 2012
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_07483007_v28_n3_p317_Szumik
http://hdl.handle.net/20.500.12110/paper_07483007_v28_n3_p317_Szumik
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AT goloboffpabloa detectingareasofendemismwithataxonomicallydiversedatasetplantsmammalsreptilesamphibiansbirdsandinsectsfromargentina
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