English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/167960
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


Assessing the global potential distribution of Xylella fastidiosa using species distribution models

AuthorsNavas Cortés, Juan Antonio
Issue DateNov-2017
CitationEuropean Conference on Xylella (2017)
AbstractSpecies distribution models (SDMs) determine the relationships between sample location for a species and associated environmental variables, and are used to estimate the ecological requirements for a particular species. SDMs provide realistic scenarios to explain the influence of bioclimatic variables on the epidemiology of plant pathogens, particularly in the context of emerging plant diseases. Different modeling techniques, including regression, classification and machine learning approaches were used within an ensemble forecasting framework (Naimi & Araujo, 2016) to quantify and map the global patterns of the potential geographic distribution of Xylella fastidiosa. The global distribution of X. fastidiosa was obtained from EFSA (EFSA, 2016). To cope with the equilibrium assumption, pseudo-absence data were generated outside the organism’s ecological domain (Barbet- Massin et al., 2012). Overall, projected potential distribution from estimated models conformed well to the current known distribution of X. fastidiosa. The application of SDMs to the most prevalent X. fastidiosa subspecies (i.e. fastidiosa, pauca and multiplex) will be discussed.
Appears in Collections:(IAS) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.