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dc.contributor.authorMoreno Fernández, Daniel
dc.contributor.authorÁlvarez González, Juan Gabriel
dc.contributor.authorRodríguez Soalleiro, Roque
dc.contributor.authorPasalodos Tato, María
dc.contributor.authorCañellas, Isabel
dc.contributor.authorMontes, Fernando
dc.contributor.authorDíaz-Varela, Emilio
dc.contributor.authorSánchez-González, Mariola
dc.contributor.authorCrecente-Campo, Felipe
dc.contributor.authorÁlvarez Álvarez, Pedro
dc.contributor.authorBarrio Anta, Marcos
dc.contributor.authorPérez Cruzado, César
dc.date.accessioned2018-04-20T08:10:32Z
dc.date.available2018-04-20T08:10:32Z
dc.date.issued2017-06-28
dc.identifier.urihttp://hdl.handle.net/10347/16673
dc.descriptionThis is the pre-print version of the manuscript: Moreno-Fernández, D., Álvarez-González, J. G., Rodríguez-Soalleiro, R., Pasalodos-Tato, M., Cañellas, I., Montes, F., ... & Pérez-Cruzado, C. (2018). National-scale assessment of forest site productivity in Spain. Forest Ecology and Management, 417, 197-207. https://doi.org/10.1016/j.foreco.2018.03.016
dc.descriptionA post-print version of the same manuscript is also available, which entitles "National-scale assessment of forest site productivity in Spain"
dc.description.abstractSite productivity of forests is often evaluated thorough the site quality. Different indices can be used to measure site quality but the site index (relationship between dominant height and age) is the most employed. However, site index can only be applied in even-aged forests whereas the site form (height-diameter relationship) has been proved to be a good measure of site quality in uneven-aged stands and multispecies forests. In this work, we aim to develop national-scale site quality maps for five dominant species of Spanish forests (Fagus sylvatica, Pinus pinaster atlantica, Quercus pyrenaica, Pinus nigra, Pinus sylvestris) with landscape planning purposes. First, we develop site form non-linear models using the Spanish National Forest Inventory. Then, we fit spatial additive models entering topographic and climatic variables in order to predict the site quality over the whole country. The accuracy of the models ranged from 38.2% to 47.9%. On the other hand, our results fall well with the autoecology of the species studied. Thus, we confirm the suitability of this approach to estimate the site quality in forest with different structures, such as even or uneven stands. Finally, we suggest that this method can be used in other countries to expand the current maps to the whole Europe
dc.description.sponsorshipMarie Sklodowska-Curie Action, Towards a worldwide quantification of forest degradation (QUAFORD) 699884 AEI/FEDER, UE, AGL, AGL2016-76769-C2-2-R AEI/FEDER, UE, IJCI-2014-20614
dc.language.isoeng
dc.relation.isversionofhttp://hdl.handle.net/10347/16671
dc.rights© Elsevier, 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEuropean Forest Types
dc.subjectForest harmonization
dc.subjectSustainable forest management
dc.subjectInternational forest policy
dc.subject.classificationMaterias::Investigación::31 Ciencias agrarias::3106 Ciencia forestal
dc.titleAssessing site quality using the National Forest Inventory
dc.title.alternativeNational-scale assessment of forest site productivity in Spain
dc.typepreprint
dc.rights.accessRightsopen access
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/699884
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2016-76769-C2-2-R/ES/MODELIZACION DEL EFECTO DE LA INTENSIDAD DE PERTURBACION SOBRE LA ESTRUCTURA Y EL STOCK DE CARBONO EN MASAS NATURALES A PARTIR DEL INVENTARIO FORESTAL NACIONAL
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/IJCI-2014-20614/ES


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© Elsevier, 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
 http://creativecommons.org/licenses/by-nc-nd/4.0/
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 © Elsevier, 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/





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