Effects of the number of presences on reliability and stability of MARS species distribution models: the importance of regional niche variation and ecological heterogeneity

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Statistical solutions for error and bias in global citizen science datasets (2014, methodology): “Clustering Mateo et al. (2010) Generating pseudo-absences using targeted rather than random approaches produced more”
Applications of species distribution modeling to paleobiology (2011, background): “…available is crucial for the SDM approach, and critical aspects such as sample size, sampling bias, and modeling remedies for the latter have been broadly discussed in the literature (Jiménez-Valverde and Lobo, 2006; Pearson et al., 2007; Phillips et al., 2009; Veloz, 2009; Mateo et al., 2010).”