Please use this identifier to cite or link to this item: http://hdl.handle.net/10662/7284
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMolina Martínez, Juan Ramón-
dc.contributor.authorMartín Cuevas, Ángela-
dc.contributor.authorDrake Aranda, Fernando-
dc.contributor.authorMartín Martín, Luis Miguel-
dc.contributor.authorHerrera Machuca, Miguel Ángel-
dc.date.accessioned2018-04-11T12:32:04Z-
dc.date.available2018-04-11T12:32:04Z-
dc.date.issued2016-
dc.identifier.issn1971-7458-
dc.identifier.issn0000-0002-2596-1612-
dc.identifier.urihttp://hdl.handle.net/10662/7284-
dc.description.abstractLandscape fragmentation is one of the main threats to South American temperate forests due to population growth, conversion of native forests to plantations of exotic species and non-sustainable timber harvesting. The lack of forest connectivity can interfere with pollination, seed dispersal, biodiversity and landscape quality. Species with relatively limited seed dispersal are potentially more sensitive to the landscape fragmentation. Araucaria araucana (Mol.) K. Koch is a long-lived, slow-growing, relict conifer in South America’s temperate forests with large seeds possessing a limited dispersal range. The objective of the study was to identify priority areas for Araucaria conservation based on fragmentation quantification and correlation with structural variables and regeneration conditions. Results from the FRAGSTATS® and CONEFOR® software indicated that Araucaria connectivity has increased in sites located in the central Andean Range in comparison to other sites, because of reduced human and livestock pressure as well as the relative absence of commercial plantations. The proximity index ranged from 6.01 m to 34834.2 m, and the probability of connectivity has significantly increased (175663 ha) in the central Andean Range. Significant relationships were found between the Simpson’s index (or the probability of connectivity) and basal area, and between the mean largest patch index and crown diameter. The largest patch index (r = 0.6; p < 0.05) and the area-weighted mean proximity index (r = 0.767; p < 0.05) were the most important landscape metrics influencing Araucaria regeneration. Furthermore, the integration of spatial pattern analysis obtained from satellite images and aerial photographs with forest and regeneration characterization from field sampling allowed to identify the most vulnerable areas. The methodology presented here can assist in the identification of target areas for spatial conservation, including management needs under the current budget restrictions.es_ES
dc.description.sponsorshipTrabajo financiado por: Universidad de Córdoba (Chile). Servicio de Investigación. Beca 207-141-018-1.0 Ministerio de Asuntos Exteriores. Agencia Española de Cooperación Internacional para el Desarrollo. Becas A/023099/09, A/030789/10 Gobierno de Extremadura. Consejería de Economía, Competitividad e Innovación. Ayuda Económicaes_ES
dc.format.extent9 p.es_ES
dc.language.isoenges_ES
dc.publisherItalian Society of Silviculture and Forest Ecologyes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectConservación del paisajees_ES
dc.subjectPaisaje parametrizadoes_ES
dc.subjectPaisaje conectivoes_ES
dc.subjectPatrón espacial de indicadoreses_ES
dc.subjectLandscape conservationes_ES
dc.subjectLandscape metricses_ES
dc.subjectLandscape connectivityes_ES
dc.subjectSpatial pattern indicatorses_ES
dc.titleFragmentation in Araucaria araucana forests in Chile: quantification and correlation with structural variableses_ES
dc.typearticlees_ES
dc.description.versionpeerReviewedes_ES
dc.rights.accessRightsopenAccesses_ES
dc.subject.unesco5902.08 Política del Medio Ambientees_ES
dc.subject.unesco3308 Ingeniería y Tecnología del Medio Ambientees_ES
dc.identifier.bibliographicCitationMolina Martínez, J. R.; Martín Cuevas, A.; Drake Aranda, F.; Martín Martín, L. M. y Herrera Macuca, M. A. (2016). Fragmentation in Araucaria araucana forests in Chile: quantification and correlation with structural variables. Iforest, 9, 244-252. ESSN 1971-7458es_ES
dc.type.versionpublishedVersiones_ES
dc.contributor.affiliationUniversidad de Córdobaes_ES
dc.contributor.affiliationUniversidad de Extremadura. Departamento de Ingeniería del Medio Agronómico y Forestales_ES
dc.contributor.affiliationUniversidad de Concepción. Chile-
dc.relation.publisherversionhttp://iforest.sisef.org/contents/?id=ifor1399-008es_ES
dc.identifier.doi10.3832/ifor1399-008-
dc.identifier.publicationtitleIforestes_ES
dc.identifier.publicationfirstpage244es_ES
dc.identifier.publicationlastpage252es_ES
dc.identifier.publicationvolume9es_ES
dc.identifier.orcid0000-0002-2674-9111-
Appears in Collections:DIAYF - Artículos

Files in This Item:
File Description SizeFormat 
ifor1399_008.pdf466,44 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons