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Risk of invasion predicted with support vector machines: A case study on northern pike (Esox Lucius, L.) and bleak (Alburnus alburnus, L.)

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Risk of invasion predicted with support vector machines: A case study on northern pike (Esox Lucius, L.) and bleak (Alburnus alburnus, L.)

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dc.contributor.author Muñoz Mas, Rafael es_ES
dc.contributor.author Vezza, Paolo es_ES
dc.contributor.author Alcaraz-Hernández, Juan Diego es_ES
dc.contributor.author Martinez-Capel, Francisco es_ES
dc.date.accessioned 2017-03-13T15:26:46Z
dc.date.available 2017-03-13T15:26:46Z
dc.date.issued 2016-12-24
dc.identifier.issn 0304-3800
dc.identifier.uri http://hdl.handle.net/10251/78712
dc.description.abstract The impacts of invasive species are recognised as a major threat to global freshwater biodiversity. The risk of invasion (probability of presence) of two avowed invasive species, the northern pike (Esox Lucius, L.) and bleak (Alburnus alburnus, L.), was evaluated in the upper part of the Cabriel River (eastern Iberian Peninsula). Habitat suitability models for these invasive species were developed with Support Vector Machines (SVMs), which were trained with data collected downstream the Contreras dam (the last barrier impeding the invasion of the upper river segment). Although SVMs gained visibility in habitat suitability modelling, they cannot be considered widespread in ecology. Thus, with this technique, there is certain controversy about the necessity of performing variable selection procedures. In this study, the parameters tuning and the variable selection for the SVMs was simultaneously performed with a genetic algorithm and, contradicting previous studies in freshwater ecology, the variable selection proved necessary to achieve almost perfect accuracy. Further, the development of partial dependence plots allowed unveiling the relationship between the selected input variables and the probability of presence. Results revealed the preference of northern pike for large and wide mesohabitats with vegetated shores and abundant prey whereas bleak preferred deep and slightly fast flow mesohabitats with fine substrate. Both species proved able to colonize the upper part of the Cabriel River but the habitat suitability for bleak indicated a slightly higher risk of invasion. Altogether may threaten the endemic species that actually inhabit that stretch, especially the Jucar nase (Parachondrostoma arrigonis; Steindachner), which is one of the most critically endangered Iberian freshwater fish species. (C) 2016 Elsevier B.V. All rights reserved. es_ES
dc.description.sponsorship The study has been partially funded by the IMPADAPT project (CGL2013-48424-C2-1-R) with Spanish MINECO (Ministerio de Economia y Competitividad) and by the Confederacion Hidrografica del Jucar (Spanish Ministry of Agriculture, Food and Environment). We also want to thank all the colleagues who worked in the field data collection, especially Rui M. S. Costa and Aina Hernandez. Finally, we are especially grateful to Esther Lopez Fernandez who kindly and selflessly posed for the graphical abstract. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation IMPADAPT project [CGL2013-48424-C2-1-R] es_ES
dc.relation Spanish MINECO (Ministerio de Economia y Competitividad) es_ES
dc.relation Confederacion Hidrografica del Jucar (Spanish Ministry of Agriculture, Food and Environment) es_ES
dc.relation.ispartof Ecological Modelling es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Genetic algorithm es_ES
dc.subject Habitat suitability model es_ES
dc.subject Iberian Peninsula es_ES
dc.subject Mediterranean river es_ES
dc.subject Mesohabitat scale es_ES
dc.subject Variable selection es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.title Risk of invasion predicted with support vector machines: A case study on northern pike (Esox Lucius, L.) and bleak (Alburnus alburnus, L.) es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ecolmodel.2016.10.006
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia es_ES
dc.description.bibliographicCitation Muñoz Mas, R.; Vezza, P.; Alcaraz-Hernández, JD.; Martinez-Capel, F. (2016). Risk of invasion predicted with support vector machines: A case study on northern pike (Esox Lucius, L.) and bleak (Alburnus alburnus, L.). Ecological Modelling. 342:123-134. doi:10.1016/j.ecolmodel.2016.10.006 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.ecolmodel.2016.10.006 es_ES
dc.description.upvformatpinicio 123 es_ES
dc.description.upvformatpfin 134 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 342 es_ES
dc.relation.senia 321974 es_ES


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