2017
DOI: 10.4067/s0717-65382017000200039
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Estimación de la riqueza de coleópteros epigeos de la Reserva Nacional Pingüino de Humboldt (Regiones de Atacama y Coquimbo, Chile)

Abstract: The estimate of the richness is an essential element in the characterization of biodiversity, so that regional inventories of certain groups of taxa as epigean coleopterans are important for planning conservation efforts in protected natural areas. By using accumulation curves and non-parametric estimators, the quality of various samples on estimating the richness of epigean coleopterans of the Pingüino Humboldt National Reserve (Atacama and Coquimbo Regions, Chile) was evaluated. The asymptotic models tested … Show more

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Cited by 2 publications
(2 citation statements)
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“…Even though several insect groups characteristic of the coastal scrub were recorded, the species accumulation curves did not reach a defined asymptote, which suggests that the species inventory of the studied communities is incomplete (Escalante, 2003;Alfaro and Pizarro-Araya, 2017).…”
Section: Discussionmentioning
confidence: 98%
“…Even though several insect groups characteristic of the coastal scrub were recorded, the species accumulation curves did not reach a defined asymptote, which suggests that the species inventory of the studied communities is incomplete (Escalante, 2003;Alfaro and Pizarro-Araya, 2017).…”
Section: Discussionmentioning
confidence: 98%
“…To determine whether the species had an affinity for any given management system and flower color, the number of visits per species was used to conduct a simple correspondence analysis, using the CORRESP procedure of SAS University® v. 9.4 (SAS Institute Inc., 2020). The sampling efficiency of the species per management system and flower color was calculated from the non-parametric estimator Chao 2, since this does not fit a parametric mathematical model and considers the species observed in exactly one and two sampling units (Alfaro and Pizarro-Araya, 2017). To obtain the estimator, the program EstimateS® v. 9.1.0 (Colwell, 2013) was used.…”
Section: Data Analysesmentioning
confidence: 99%