Can insect data be used to infer areas of endemism?: An example from the Yungas of Argentina

The main purpose of this study is to analyze whether areas of endemism can be characterized quantitatively by using insects, which are typically much more poorly sampled than vertebrates or plants. For this, an optimality criterion in the search for endemic areas was used to analyze approximately 1,...

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Autores principales: NAVARRO,FERNANDO R, CUEZZO,FABIANA, GOLOBOFF,PABLO A, SZUMIK,CLAUDIA, LIZARRALDE DE GROSSO,MERCEDES, QUINTANA,M. GABRIELA
Lenguaje:English
Publicado: Sociedad de Biología de Chile 2009
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-078X2009000400006
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spelling oai:scielo:S0716-078X20090004000062010-03-23Can insect data be used to infer areas of endemism?: An example from the Yungas of ArgentinaNAVARRO,FERNANDO RCUEZZO,FABIANAGOLOBOFF,PABLO ASZUMIK,CLAUDIALIZARRALDE DE GROSSO,MERCEDESQUINTANA,M. GABRIELA biogeography distribution patterns Montane forests NDM/VNDM The main purpose of this study is to analyze whether areas of endemism can be characterized quantitatively by using insects, which are typically much more poorly sampled than vertebrates or plants. For this, an optimality criterion in the search for endemic areas was used to analyze approximately 1,100 georeferences from 288 species of holometabolous insects found in the study region, the Yungas (a very moist, montane rainforest), located in north-western Argentina. The optimality criterion is implemented with the programs NDM/VNDM, used to evaluate areas of endemism (i.e. a set of cells defined by two or more endemic species). Five grid sizes were used, three square (Iº, 0.5°, and 0.25°) and two rectangular (0.25° x 0.5° and 0.5° x 0.25°). In agreement with the traditional biogeographic proposal, the results of the present study indicate that the Yungas can be characterized as a biogeographic unit with its own identity. Twenty six areas related to Yungas have shown 23 species of insects (in 14 families) as endemic, restricted to Yungas environment, and 46 species (in 10 families) as endemic, present in Yungas and surrounding habitats. Our analysis suggests that the use of insects to identify areas of endemism is a powerful tool, even considering the current fragmentary knowledge of these groups in South América. Given that there is no criterion to choose an optimal grid size, the use of different grid sizes is crucial; medium and small sizes are highly recommended because both identify seemingly different patterns. The quantitative method used here is useful to identify areas of endemism, such as disjoint areas or partially overlapping areas, which are difficult to see with other traditional biogeographic methods.info:eu-repo/semantics/openAccessSociedad de Biología de ChileRevista chilena de historia natural v.82 n.4 20092009-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-078X2009000400006en10.4067/S0716-078X2009000400006
institution Scielo Chile
collection Scielo Chile
language English
topic biogeography
distribution patterns
Montane forests
NDM/VNDM
spellingShingle biogeography
distribution patterns
Montane forests
NDM/VNDM
NAVARRO,FERNANDO R
CUEZZO,FABIANA
GOLOBOFF,PABLO A
SZUMIK,CLAUDIA
LIZARRALDE DE GROSSO,MERCEDES
QUINTANA,M. GABRIELA
Can insect data be used to infer areas of endemism?: An example from the Yungas of Argentina
description The main purpose of this study is to analyze whether areas of endemism can be characterized quantitatively by using insects, which are typically much more poorly sampled than vertebrates or plants. For this, an optimality criterion in the search for endemic areas was used to analyze approximately 1,100 georeferences from 288 species of holometabolous insects found in the study region, the Yungas (a very moist, montane rainforest), located in north-western Argentina. The optimality criterion is implemented with the programs NDM/VNDM, used to evaluate areas of endemism (i.e. a set of cells defined by two or more endemic species). Five grid sizes were used, three square (Iº, 0.5°, and 0.25°) and two rectangular (0.25° x 0.5° and 0.5° x 0.25°). In agreement with the traditional biogeographic proposal, the results of the present study indicate that the Yungas can be characterized as a biogeographic unit with its own identity. Twenty six areas related to Yungas have shown 23 species of insects (in 14 families) as endemic, restricted to Yungas environment, and 46 species (in 10 families) as endemic, present in Yungas and surrounding habitats. Our analysis suggests that the use of insects to identify areas of endemism is a powerful tool, even considering the current fragmentary knowledge of these groups in South América. Given that there is no criterion to choose an optimal grid size, the use of different grid sizes is crucial; medium and small sizes are highly recommended because both identify seemingly different patterns. The quantitative method used here is useful to identify areas of endemism, such as disjoint areas or partially overlapping areas, which are difficult to see with other traditional biogeographic methods.
author NAVARRO,FERNANDO R
CUEZZO,FABIANA
GOLOBOFF,PABLO A
SZUMIK,CLAUDIA
LIZARRALDE DE GROSSO,MERCEDES
QUINTANA,M. GABRIELA
author_facet NAVARRO,FERNANDO R
CUEZZO,FABIANA
GOLOBOFF,PABLO A
SZUMIK,CLAUDIA
LIZARRALDE DE GROSSO,MERCEDES
QUINTANA,M. GABRIELA
author_sort NAVARRO,FERNANDO R
title Can insect data be used to infer areas of endemism?: An example from the Yungas of Argentina
title_short Can insect data be used to infer areas of endemism?: An example from the Yungas of Argentina
title_full Can insect data be used to infer areas of endemism?: An example from the Yungas of Argentina
title_fullStr Can insect data be used to infer areas of endemism?: An example from the Yungas of Argentina
title_full_unstemmed Can insect data be used to infer areas of endemism?: An example from the Yungas of Argentina
title_sort can insect data be used to infer areas of endemism?: an example from the yungas of argentina
publisher Sociedad de Biología de Chile
publishDate 2009
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-078X2009000400006
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