caa a22 4500 44533181X CHVBK 20180317142739.0 cr unu---uuuuu 170323e20110101xx s 000 0 eng 10.1007/s10707-009-0090-7 doi (NATIONALLICENCE)springer-10.1007/s10707-009-0090-7 openModeller: a generic approach to species' potential distribution modelling [Elektronische Daten] [Mauro de Souza Muñoz, Renato De Giovanni, Marinez de Siqueira, Tim Sutton, Peter Brewer, Ricardo Pereira, Dora Canhos, Vanderlei Canhos] Species' potential distribution modelling is the process of building a representation of the fundamental ecological requirements for a species and extrapolating these requirements into a geographical region. The importance of being able to predict the distribution of species is currently highlighted by issues like global climate change, public health problems caused by disease vectors, anthropogenic impacts that can lead to massive species extinction, among other challenges. There are several computational approaches that can be used to generate potential distribution models, each achieving optimal results under different conditions. However, the existing software packages available for this purpose typically implement a single algorithm, and each software package presents a new learning curve to the user. Whenever new software is developed for species' potential distribution modelling, significant duplication of effort results because many feature requirements are shared between the different packages. Additionally, data preparation and comparison between algorithms becomes difficult when using separate software applications, since each application has different data input and output capabilities. This paper describes a generic approach for building a single computing framework capable of handling different data formats and multiple algorithms that can be used in potential distribution modelling. The ideas described in this paper have been implemented in a free and open source software package called openModeller. The main concepts of species' potential distribution modelling are also explained and an example use case illustrates potential distribution maps generated by the framework. Springer Science+Business Media, LLC, 2009 Potential distribution modelling nationallicence Ecological niche modelling nationallicence Predicting species distribution nationallicence openModeller nationallicence de Souza Muñoz Mauro Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut De Giovanni Renato Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut de Siqueira Marinez Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut Sutton Tim PO Box 942, 1748, Lanseria, Gauteng, South Africa aut Brewer Peter Malcolm and Carolyn Wiener Laboratory for Aegean and Near Eastern Dendrochronology, B-48 Goldwin Smith Hall, Cornell University, 14853-3201, Ithaca, NY, USA aut Pereira Ricardo Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut Canhos Dora Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut Canhos Vanderlei Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut GeoInformatica Springer US; http://www.springer-ny.com 15/1(2011-01-01), 111-135 1384-6175 15:1<111 2011 15 10707 https://doi.org/10.1007/s10707-009-0090-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10707-009-0090-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- de Souza Muñoz Mauro Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut NATIONALLICENCE 700 1- De Giovanni Renato Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut NATIONALLICENCE 700 1- de Siqueira Marinez Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut NATIONALLICENCE 700 1- Sutton Tim PO Box 942, 1748, Lanseria, Gauteng, South Africa aut NATIONALLICENCE 700 1- Brewer Peter Malcolm and Carolyn Wiener Laboratory for Aegean and Near Eastern Dendrochronology, B-48 Goldwin Smith Hall, Cornell University, 14853-3201, Ithaca, NY, USA aut NATIONALLICENCE 700 1- Pereira Ricardo Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut NATIONALLICENCE 700 1- Canhos Dora Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut NATIONALLICENCE 700 1- Canhos Vanderlei Centro de Referência em Informação Ambiental, Campinas, SP, Brazil aut NATIONALLICENCE 773 0- GeoInformatica Springer US; http://www.springer-ny.com 15/1(2011-01-01), 111-135 1384-6175 15:1<111 2011 15 10707 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer