Evaluación de estimadores no paramétricos de la riqueza de especies. Un ejemplo con aves en áreas verdes de la ciudad de Puebla, México

Abstract

Assessing non-parametric estimators of species richness. A case study with birds in green areas of the city of Puebla, Mexico Our objective was to evaluate the performance of non-parametric estimators of spe-cies richness with real data. During the 2003 breeding season, bird communities were sampled in two green areas in the city of Puebla (Mexico), and the corresponding sample-based rarefaction curves were obtained. Mean data were adjusted to two non-asymptotic and seven asymptotic accumulation functions, and the best model was selected by means of reliability criteria in information theory. The cumulative Weibull and the beta-P functions were the best-fit models. Bias, precision and accuracy of five non-parametric estimators of species richness (ICE, Chao2, Jackknife 1, Jackknife 2, and Bootstrap) were then assessed for increasing sampling efforts (1-53 sampling units) against the asymptote of the selected accumulation functions. All the non-parametric estimators here evaluated underestimated true richness most of the time, specially in one of the sites. However, after combining data from the two assemblages, only ICE, and Jackknife 1 and 2 exhibited bias below 10% with different sampling efforts, and only Jackknife 1 was globally accurate (scaled mean squared error x 100 < 5%, even with low sampling efforts, ca. 20% of the total). Therefore, we propose using the Jackknife 1 non-parametric estimator as a lower limit to measure bird species richness in urban sites similar to those in the present study.

Taxonomic Diversity of Decapod and Stomatopod Crustaceans Associated with Pocilloporid Corals in the Central Mexican Pacific

“…The sampling effort was evaluated using sample-based rarefactions at three levels (i.e., site, season, and year) with the observed species richness and the expected richness estimated using non-parametric estimators Chao 1, Chao 2, Jackknife 1, Jackknife 2, ICE, and ACE. These estimators were based on rare species; they estimated the number of potential species considering the incidence and abundance data recorded in the samplings [53]. The total observed richness (S Obs ) was calculated for each ecosystem with the Mao Tao function.…”

Diversity patterns of ground dwelling spiders (Arachnida: Araneae) in five prevailing plant communities of the Cuatro Ciénegas Basin, Coahuila, Mexico

“…The first order Jacknife estimator was used to evaluate the sampling efficiency. This estimator can give a reasonable estimate when the number of samples is small (González-Oreja, de la Fuente-Díaz Ordaz, Hernández-Santín, Buzo-Franco, & Bonache-Regidor, 2011). This analysis was done with EstimateS v. 8.0 (Colwell, 2006).…”

Environmental and geographical biases in plant specimen data from the Colombian Andes

“…Therefore, different approaches have been developed to estimate species richness from incomplete sampling (e.g. Chao 1, Chao 2, bootstrapping, rarefaction; Hortal et al, 2006;González-Oreja et al, 2010;Gotelli & Chao, 2013;Engemann et al, 2015). These estimators have been helpful in the study of richness patterns using data available in public repositories (e.g.…”