Can species distribution modelling provide estimates of population densities? A case study with jaguars in the Neotropics

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Two alternative evaluation metrics to replace the true skill statistic in the assessment of species distribution models (2019, background): “Models (and subsequent thresholds) that commit lower numbers of commission errors may better differentiate between high and low population density areas, a highly desirable characteristic for assessing population status (Tôrres et al. 2012).”
The importance of biotic interactions in species distribution models: a test of the Eltonian noise hypothesis using parrots (2014, background): “Previous studies have shown that the values of these grids also correlate with species abundance, where localities with higher values have higher abundance values for the species being studied (VanDerWal et al., 2009; Kulhanek et al., 2011; Oliver et al., 2012; Tôrres et al., 2012).”
Unraveling the conservation status of Data Deficient species (2013, methodology): “Quantile regression is especially suited for this situation (Cade et al., 1999; Tôrres et al., 2012) also permitting to evaluate the behavior of the dependent variable at different level (quantiles).”