- -

Modelling critical factors affecting the distribution of the vulnerable endemic Eastern Iberian barbel (Luciobarbus guiraonis) in Mediterranean rivers

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Modelling critical factors affecting the distribution of the vulnerable endemic Eastern Iberian barbel (Luciobarbus guiraonis) in Mediterranean rivers

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Olaya Marín, Esther Julia es_ES
dc.contributor.author Martinez-Capel, Francisco es_ES
dc.contributor.author García Bartual, Rafael Luis es_ES
dc.contributor.author Vezza, Paolo es_ES
dc.date.accessioned 2016-05-30T14:05:27Z
dc.date.available 2016-05-30T14:05:27Z
dc.date.issued 2016
dc.identifier.issn 1108-393X
dc.identifier.uri http://hdl.handle.net/10251/64952
dc.description.abstract [EN] Luciobarbus guiraonis (Eastern Iberian barbel) is an endemic fish species restricted to Spain, mainly distributed in the Júcar River Basin District. Its study is important because there is little knowledge about its biology and ecology. To improve the knowledge about the species distribution and habitat requirements, nonlinear modelling was carried out to predict the presence/absence and density of the Eastern Iberian barbel, based on 155 sampling sites distributed throughout the Júcar River Basin District (Eastern Iberian Peninsula). We used multilayer feed-forward artificial neural networks (ANN) to represent nonlinear relationships between L. guiraonis descriptors and variables regarding the physical habitat and biological components (macroinvertebrates, fish, riparian forest). The gradient descent algorithm was implemented to find the optimal model parameters; the importance of the ANN s input variables was determined by the partial derivatives method. The predictive power of the model was evaluated with the Cohen s kappa (k), the correctly classified instances (CCI), and the area under the curve (AUC) of the receiver operator characteristic (ROC) plots. The best model predicted presence/absence with a high performance (k= 0.66, CCI= 87% and AUC= 0.85); the prediction of density was moderate (CCI = 62%, AUC=0.71 and k= 0.43). The fundamental variables describing the presence/absence were; solar radiation (the highest contribution was observed between 2000 and 4200 WH/m2), drainage area (with the strongest influence between 3000 and 5.000 km2), and the proportion of exotic fish species (with relevant contribution between 50 and 100%). In the density model, the most important variables were the coefficient of variation of mean annual flows (relative importance of 50.5%) and the proportion of exotic fish species (24.4%). The models provide important information about the relation of L. guiraonis with biotic and abiotic variables, this new knowledge can help develop future studies and management plans for the conservation of this species in the Júcar River Basin District and, potentially, for the conservation of other endemic fish species of Barbus and Luciobarbus in Mediterranean rivers. es_ES
dc.description.sponsorship This study was partially funded by the MINECO, Spanish Ministry of Economy and Competitiveness, with the projects SCARCE (Consolider-Ingenio 2010 CSD2009-00065), IMPADAPT (CGL2013-48424- C2-1-R) and with Feder funds. There was also funding from the Project POTECOL “Evaluación del Potencial Ecológico de Ríos Regulados por Embalses y Desarrollo de Criterios para su mejora según la Directiva Marco del Agua” (CGL2007-66412). In addition, the present research was developed in the frame of the EU-funded HolRiverMed project (Marie Curie Actions, IntraEuropean Fellowships for the mobility of European researchers). We thank the Confederación Hidrográfica del Júcar (Spanish Ministry of Agriculture, Food and Environment) for the data provided to develop this study and we also owe our gratitude to Juan Jiménez for the collaboration in building the first fish database for this research.
dc.language Inglés es_ES
dc.publisher Hellenic Centre for Marine Research es_ES
dc.relation.ispartof Mediterranean Marine Science es_ES
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Eastern Iberian Barbel es_ES
dc.subject Luciobarbus es_ES
dc.subject Hydromorphology es_ES
dc.subject Species distribution model es_ES
dc.subject Mediterranean rivers es_ES
dc.subject Fish habitat es_ES
dc.subject Artificial Neural Networks es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.title Modelling critical factors affecting the distribution of the vulnerable endemic Eastern Iberian barbel (Luciobarbus guiraonis) in Mediterranean rivers es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.12681/mms.1351
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/275577/EU/Environmental River Management: An Innovative Holistic Approach for Mediterranean Streams/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//CSD2009-00065/ES/Evaluación y predicción de los efectos del cambio global en la cantidad y la calidad del agua en ríos ibéricos/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//CGL2013-48424-C2-1-R/ES/ADAPTACION AL CAMBIO GLOBAL EN SISTEMAS DE RECURSOS HIDRICOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MEC//CGL2007-66412/ES/EVALUACION DEL POTENCIAL ECOLOGICO DE RIOS REGULADOS POR EMBALSES Y DESARROLLO DE CRITERIOS PARA SU MEJORA SEGUN LA DIRECTIVA MARCO DEL AGUA./ es_ES
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. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient es_ES
dc.description.bibliographicCitation Olaya Marín, EJ.; Martinez-Capel, F.; García Bartual, RL.; Vezza, P. (2016). Modelling critical factors affecting the distribution of the vulnerable endemic Eastern Iberian barbel (Luciobarbus guiraonis) in Mediterranean rivers. Mediterranean Marine Science. 17(1):264-279. https://doi.org/10.12681/mms.1351 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.12681/mms.1351 es_ES
dc.description.upvformatpinicio 264 es_ES
dc.description.upvformatpfin 279 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 17 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 309344 es_ES
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad
dc.contributor.funder Miinisterio de Ciencia e Innovación
dc.contributor.funder Ministerio de Educación y Ciencia
dc.contributor.funder European Regional Development Fund es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem