2015
DOI: 10.1590/1519-6984.22713
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Trends and biases in global scientific literature about ecological niche models

Abstract: Recently, ecological niche models have been employed to investigate the potential geographical distribution of species. However, it is necessary to analyze the vast number of publications on this topic to understand the trends and biases of research using ecological niche models (ENMs). Therefore, this study aims to investigate trends in the scientific literature regarding studies on ENMs. For the quantitative analysis of the literature on ENMs, we performed a search in the Thomson ISI (Web of Science) databas… Show more

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Cited by 21 publications
(15 citation statements)
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“…Species distribution models ( sdms ) have been widely used to predict the potential distributions of species for a variety of purposes (Austin , Vaz et al . ). Moreover, climate variables are frequently used in SDMs, mainly because they are considered the main factors that determine species distributions at large spatial scales (>200 km; Pearson & Dawson ).…”
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confidence: 97%
“…Species distribution models ( sdms ) have been widely used to predict the potential distributions of species for a variety of purposes (Austin , Vaz et al . ). Moreover, climate variables are frequently used in SDMs, mainly because they are considered the main factors that determine species distributions at large spatial scales (>200 km; Pearson & Dawson ).…”
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confidence: 97%
“…Thus, different techniques of niche models were able to predict productivity or other demographic variables (see Diniz-Filho et al 2015). Here, we used the MaxEnt algorithm, which is one of the most commonly used methods (Vaz et al 2015), it is a machine and statistical learning method (Franklin 2009), which associates presence-only species records with bioclimatic variables, according to the principle of maximum entropy (see Elith et al 2011). Despite the wide availability of methods, MaxEnt is among the top-performing methods in terms of prediction accuracy (Elith et al 2006).…”
Section: úRsula Lopes Vaz and João Carlos Nabout Discussionmentioning
confidence: 99%
“…Recently, the use of Ecological Niche Models (ENM) has increased in the scientific literature and has proved a very effective tool in various areas of science (Peterson et al 2011;Vaz et al 2015). For example, ENM has been used to predict the spatial abundance, genetic variability, spatial distribution, and extinction of species (Nabout et al 2011;Peterson et al 2011;Tôrres et al 2012;Diniz-Filho et al 2015;Soares et al 2015).…”
Section: Introductionmentioning
confidence: 99%
“…However, it has been a challenge to incorporate both types of factor into distribution modeling (Araújo & Luoto, ; Kissling et al., ). Most progress has been made using environmental layers and different statistical models (Qiao, Soberón, & Peterson, ; Vaz, Cunha, & Nabout, ) to map the relationship between them and an output variable, such as the propensity for the presence of a given species. In terms of community, one of the most popular representations is as a network, such as a food web (Pimm, Lawton, & Cohen, ).…”
Section: Introductionmentioning
confidence: 99%