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Phillips, S.J., et al. (2009) Sample Selection Bias and Presence-Only Distribution Models: Implications for Background and Pseudo-Absence Data. Ecological Applications, 19, 181-197.
https://doi.org/10.1890/07-2153.1

has been cited by the following article:

• TITLE: Recognizing Brazilian Cerrado Enclaves by Modeling Geoenvironmental Parameters

  AUTHORS: Marcus Vinicius de Melo Oliveira, Antonio Manoel dos Santos Oliveira, Augusto Francener Nogueira Gonzaga, Paulo Eduardo de Oliveira, Anderson Targino da Silva Ferreira

  KEYWORDS: Cerrado Enclave, Hotspots Remaining, Geoenvironmental Parameters, Prediction of Adequacy, MaxEnt

  JOURNAL NAME: Journal of Geographic Information System, Vol.12 No.2, April 30, 2020

  ABSTRACT: This work focused on the prediction modeling of Cerrado occurrences in the Atlantic Rainforest predominance in the São Paulo Metropolitan Region (SPMR), the fourth largest urban area, in the city of Guarulhos, southeastern Brazil. The methodology was based on the selection of records of occurrence of Cerrado in georeferenced databases, thematic maps of geoenvironmental layers, and modeling of the distribution of species through the MaxEnt tool. Besides that, field research confirmed the presence or not of the species in the areas with a high probability of occurrence of Cerrado (≥0.7). As a result, the model observed a great capacity for the prediction of the occurrence of Cerrado in Ecotonal and anthropic regions (AUC = 0.82), revealing important hotspots such as relics from the past or Cerrado enclaves of high biodiversity. The work also points priority areas for the conservation and preservation of this increasingly endangered biome.