Artículo
Ecoindicators: An R Package for the Identification of Indicator Taxonomic Units
Duhour, Andrés Esteban
; de la Vega, Hernán; Falco, Liliana; Coviella, Carlos Eduardo; Velazco, Victor Nicolás
; Sandler, Rosana Veronica; Rionda, Macarena; Diaz Porres, Monica
; Saravia, Leonardo Ariel
Fecha de publicación:
10/2023
Editorial:
Ubiquity Press
Revista:
Journal of Open Research Software
ISSN:
2049-9647
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
The sensitivity of some taxonomic groups to environmental conditions allows for their use as ecological state indicators. In ecological communities, this analysis is of interest to know which species or taxa are indicators of particular environment conditions, taking into account their presence in a set of sampling units. There are different approaches to estimate indicator species, in this work we develop a new tool for this task identifying indicator units defined as species (or taxa) whose observed frequencies are not uniform between environments or groups of sample units. The package provides methods to estimate the indicator species, the belonging of new samples to a given environment, and returns the frequency of taxonomic units in a selected combination of environmental factors as an estimation of the ecological niche. EcoIndicators was tested on a data set provided with the package and on independent samples of soil fauna communities and is freely available in https:// github.com/lsaravia/EcoIndicators.
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Licencia
Identificadores
Colecciones
Articulos(CADIC)
Articulos de CENTRO AUSTRAL DE INVESTIGACIONES CIENTIFICAS
Articulos de CENTRO AUSTRAL DE INVESTIGACIONES CIENTIFICAS
Articulos(INEDES)
Articulos de INSTITUTO DE ECOLOGIA Y DESARROLLO SUSTENTABLE
Articulos de INSTITUTO DE ECOLOGIA Y DESARROLLO SUSTENTABLE
Citación
Duhour, Andrés Esteban; de la Vega, Hernán; Falco, Liliana; Coviella, Carlos Eduardo; Velazco, Victor Nicolás; et al.; Ecoindicators: An R Package for the Identification of Indicator Taxonomic Units; Ubiquity Press; Journal of Open Research Software; 11; 1; 10-2023; 1-8
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