A null‐model for significance testing of presence‐only species distribution models

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Biodiversity inventory and informatics in Southeast Asia (2010, background): “Kalimantan, while better collected historically than Papua (but less than Sabah and Sarawak, Raes and Steege 2007), has the additional constraint that due to the supra-annual mast flowering that dominates the phenology of plants in the lowlands (Appanah 1993), fertile material is only available for ”
Evaluating presence‐only species distribution models with discrimination accuracy is uninformative for many applications (2019, background): “…correlations that a model might treat as biological truth, resulting in models that produce high discrimination accuracy even when occurrence data are random (Raes & ter Steege, 2007) or the predictors are biolog‐ ically meaningless (Bahn & McGill, 2007, 2013; Fourcade, Besnard, & Secondi, 2018).”
Use of Maximum Entropy Modeling in Wildlife Research (2009, background): “This approach has the added advantage of using all data points rather than having to separate data into training and test categories [25].”