文章基本信息

标题：Recognizing Brazilian Cerrado Enclaves by Modeling Geoenvironmental Parameters
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作者：Marcus Vinicius de Melo Oliveira ; Antonio Manoel dos Santos Oliveira ; Augusto Francener Nogueira Gonzaga 等
期刊名称：Journal of Geographic Information System
印刷版ISSN：2151-1950
电子版ISSN：2151-1969
出版年度：2020
卷号：12
期号：2
页码：125-140
DOI：10.4236/jgis.2020.122008
出版社：Scientific Research Publishing
摘要：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.
关键词：Cerrado Enclave;Hotspots Remaining;Geoenvironmental Parameters;Prediction of Adequacy;MaxEnt