Mapping the biodiversity of tropical insects: species richness and inventory completeness of African sphingid moths

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Mapping ignorance: 300 years of collecting flowering plants in Africa (2016, background): “As these became available, the National Herbarium in Pretoria (PRECIS) started producing a series of plant checklists for Southern Africa, including Botswana, Lesotho, Namibia, South Africa, Swaziland (Germishuizen & Meyer, 2003, and references therein).”
Mapping the Global Potential Geographical Distribution of Black Locust (Robinia Pseudoacacia L.) Using Herbarium Data and a Maximum Entropy Model (2014, methodology): “Another consideration was the calculation speed of the computer, identified in many previous studies, which was based on a spatial resolution between 50 km × 50 km and 200 km × 200 km [20,21,36].”
Spatial bias in the GBIF database and its effect on modeling species' geographic distributions (2014, background): “…by other factors than true density of the species in a region) is prevalent in probably all distributional data sets (e.g., Boakes et al., 2010; Ballesteros-Mejia et al., 2013; Yang et al., 2013) and such bias has been identified as a concern for SDM before (Dudík & Phillips, 2005; Phillips et…”