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dc.contributor.authorMartin Queller, Emilia Maria
dc.contributor.authorTorras, O.
dc.contributor.authorSaura Martínez de Toda, Santiago
dc.date.accessioned2016-06-03T12:10:24Z
dc.date.available2016-06-03T12:10:24Z
dc.date.issued2009
dc.identifier.issn1131-7965
dc.identifier.urihttp://hdl.handle.net/10459.1/57156
dc.description.abstractThere is an increasing need to develop efficient methods for characterising and monitoring forest biodiversity. A landscape scale approach and assessment can provide complementary and valuable information in this respect, by considering patterns and processes that operate at broad scales and influence different aspects of forest biodiversity. Here we analysed the relationships between six forest biodiversity indicators (related to the tree and shrub layers and estimated from a large set of field plots from the Third Spanish National Forest Inventory) and landscape structure, environmental and management variables at a 10 x 10 km scale in the region of Catalonia (NE Spain) through the variation partitioning method. The tree layer indicators were those most predictable from the set of explanatory variables considered, and up to 77.2 % of total variation was explained for tree species richness. Landscape variables were much more relevant to explain biodiversity patterns than environmental and spatial factors, and landscape composition outperformed the predictive capacity of configuration metrics. Management had a weak but positive effect on the tree layer indicators, while the amount of early successional forest was negatively associated to the tree layer indicators but positively to those of the shrub stratum. Our results highlight the need to (1) concentrate field sampling efforts in those indicators that are less predictable from the landscape scale, such as those related to rare species with a high conservation value, and to (2) incorporate landscape structure variables for forest biodiversity assessments in the Mediterranean, where a landscape management approach may be particularly suited to allow the adaptation of forest biodiversity to the ongoing landscape dynamics related to broad-scale processes such as rural land abandonment or climate change.ca_ES
dc.language.isoengca_ES
dc.publisherInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)ca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.5424/fs/2009183-01072ca_ES
dc.relation.ispartofInvestigación Agraria: Sistemas y Recursos Forestales, 2009, vol. 18, núm. 3, p. 322-337ca_ES
dc.rightscc-by-nc (c) Martin Queller, Emilia Maria et al., 2009ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.subjectForest biodiversity indicatorsca_ES
dc.subjectLandscape configuration metricsca_ES
dc.subjectSilvicultural treatmentsca_ES
dc.titleRelating landscape structure, environment and management to biodiversity indicators estimated from forest inventory data in Catalonia (NE Spain)ca_ES
dc.typearticleca_ES
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.5424/fs/2009183-01072


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cc-by-nc (c) Martin Queller, Emilia Maria et al., 2009
Except where otherwise noted, this item's license is described as cc-by-nc (c) Martin Queller, Emilia Maria et al., 2009