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Phillips, S. J., Dudík, M., & Schapire, R. E. (2004). A Maximum Entropy Approach to Species Distribution Modeling. Proceedings of the Twenty-First International Conference on Machine Learning, Banff, Alberta, 4-8 July 2004, 655-662. https://doi.org/10.1145/1015330.1015412

has been cited by the following article:

• TITLE: Climate Change and Biodiversity Threats on Pachypodium Species in South Africa

  AUTHORS: Danni Guo, Leslie W. Powrie, Danielle W. Boyd

  KEYWORDS: Climate Change, Biodiversity Threats, Pachypodium Species, Pachypodium succulentum, Pachypodium bispinosum, Species Modelling

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.7 No.5, May 17, 2019

  ABSTRACT: The genus Pachypodium are succulent shrubs and small trees found in Southern Africa. Climate change is identified as one the most important threat impacting plant and animal species in the South Africa today, and in this case study, we examined the Pachypodium bispinosum and Pachypodium succulentum species in South Africa, which are becoming more vulnerable due to climate change impacts as well as human threats. This study investigates the climate change impacts on the two Pachypodium species, as well as the biodiversity threats facing the Pachypodium species today, and provides evidence regarding the importance of the study to understanding the climate change impacts on the Pachypodium species by showing the underlying variables affecting the changes.