{"title":"Biogeografía predictiva: técnicas de modelamiento de distribución de especies y su aplicación en el impacto del cambio climático","authors":"M. T. D. L. Flor, M. A. Romero","doi":"10.18800/ESPACIOYDESARROLLO.201501.008","DOIUrl":null,"url":null,"abstract":"Species distribution modeling is presented as an analytical tool for biogeography and the study of climate change impact on biodiversity. Key modeling concepts and applications are reviewed; the maximum entropy principle is described as well as its implementation in the Maxent software. Lastly, two demonstrative examples of species modeling are presented using two plant species: Pycnophyllum spathulatum (Caryophyllaceae) and Prosopis pallida (Fabaceae). Bothe species were modeled using current climate data and under a future climatic change scenario based on RCP8.5 to examine the potential impact of global warming on the species’ distribution.","PeriodicalId":30443,"journal":{"name":"Espacio y Desarrollo","volume":"1 1","pages":"159-179"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Espacio y Desarrollo","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18800/ESPACIOYDESARROLLO.201501.008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Species distribution modeling is presented as an analytical tool for biogeography and the study of climate change impact on biodiversity. Key modeling concepts and applications are reviewed; the maximum entropy principle is described as well as its implementation in the Maxent software. Lastly, two demonstrative examples of species modeling are presented using two plant species: Pycnophyllum spathulatum (Caryophyllaceae) and Prosopis pallida (Fabaceae). Bothe species were modeled using current climate data and under a future climatic change scenario based on RCP8.5 to examine the potential impact of global warming on the species’ distribution.