2018
DOI: 10.1093/jmammal/gyy012
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Revised distributional estimates for the recently discovered olinguito (Bassaricyon neblina), with comments on natural and taxonomic history

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Cited by 26 publications
(24 citation statements)
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“…Finally, this is the first time that photographs provide evidence on the presence of this rare carnivore during the 21st century (Table 1). The photographs were firstly available at the website iNaturalist, showing the relevance of citizen science in providing useful information to the knowledge of poorly known carnivores, as also has been shown for other species (i. e., Gerstner et al 2018).…”
Section: Discussionmentioning
confidence: 99%
“…Finally, this is the first time that photographs provide evidence on the presence of this rare carnivore during the 21st century (Table 1). The photographs were firstly available at the website iNaturalist, showing the relevance of citizen science in providing useful information to the knowledge of poorly known carnivores, as also has been shown for other species (i. e., Gerstner et al 2018).…”
Section: Discussionmentioning
confidence: 99%
“…Hence, forces in addition to variations in environmental parameters, such as natural selection or genetic drift, are prompting the radiation of these hummingbirds. Previous studies demonstrated the utility of niche modelling techniques to assess conservation, ecological, taxonomic biogeographic and evolutionary questions in the tropical Andes, including plants (Sanín et al 2016, Zutta and Rundel 2017, Nürk et al 2018, Oleas et al 2019, Testo et al 2019), insects (Moo-Llanes et al 2017, Scattolini et al 2018), amphibians (Ramos Pallares et al 2018, reptiles (Aguilar et al 2016), mammals (Ramoni-Perazzi et al 2012, Gutiérrez et al 2015, Gerstner et al 2018, Bennett et al 2019) and birds (Cadena and Cuervo 2010, Freile et al 2010, Jiguet et al 2010, Thomassen et al 2010, Velásquez-Tibatá et al 2013, Ramirez-Villegas et al 2014, Avendaño and Donegan 2015, Ramoni-Perazzi et al 2017. Thus, the results presented here are based on a solid background with regards to the applicability of niche modelling procedures in Neotropical environmental complex regions.…”
Section: Discussionmentioning
confidence: 99%
“…After spatial filtering, spatial autocorrelation was reduced (breeding: Moran's I = 0.472, p = <0.001; wintering: Moran's I = 0.356, p = <0.001), resulting in 315 and 133 occurrence records for use in the breeding and wintering distribution models respectively. A common issue in SDM, especially with rare species, or those that are difficult to survey, such as the Saker, is sample size (Pearson et al 2007;Gibson et al 2007). We considered the respective occurrence records obtained after data cleaning and filtering as suitable for a machine-learning algorithm SDM (Stockwell & Peterson 2002;Wisz et al 2008).…”
Section: Saker Falcon Occurrence Datamentioning
confidence: 99%
“…To predict areas of climate suitability a correlative SDM was developed using MAXENT (version 3.3.3k, Philips et al 2006;Philips & Dudík 2008), a maximum entropy machine-learning algorithm. MAXENT uses presence-background data and is a robust algorithm that out-performs other SDM methods (Elith et al 2006(Elith et al , 2011Gibson et al 2007;Duan et al 2013), with good prediction accuracy across all sample sizes (Wisz et al 2008). The MAXENT algorithm compares the environmental variables underlying the species occurrence points against the range of a random sample of background environmental conditions.…”
Section: Species Distribution Modelsmentioning
confidence: 99%
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