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Species-specific, pan-European diameter increment models based on data of 2.3 million trees

dc.contributor.authorSchelhaas, Mart-Jan
dc.contributor.authorHengeveld, Geerten M.
dc.contributor.authorHeidema, Nanny
dc.contributor.authorThurig, Esther
dc.contributor.authorRohner, Brigitte
dc.contributor.authorVacchiano, Giorgio
dc.contributor.authorVayreda, Jordi
dc.contributor.authorRedmond, John
dc.contributor.authorSocha, Jaroslaw
dc.contributor.authorFridman, Jonas
dc.contributor.authorTomter, Stein
dc.contributor.authorPolley, Heino
dc.contributor.authorBarreiro, Susana
dc.contributor.authorNabuurs, Gert-Jan
dc.date.accessioned2018-08-03T10:40:45Z
dc.date.available2018-08-03T10:40:45Z
dc.date.issued2018
dc.descriptionResearchpt_PT
dc.description.abstractBackground: Over the last decades, many forest simulators have been developed for the forests of individual European countries. The underlying growth models are usually based on national datasets of varying size, obtained from National Forest Inventories or from long-term research plots. Many of these models include country- and location-specific predictors, such as site quality indices that may aggregate climate, soil properties and topography effects. Consequently, it is not sensible to compare such models among countries, and it is often impossible to apply models outside the region or country they were developed for. However, there is a clear need for more generically applicable but still locally accurate and climate sensitive simulators at the European scale, which requires the development of models that are applicable across the European continent. The purpose of this study is to develop tree diameter increment models that are applicable at the European scale, but still locally accurate. We compiled and used a dataset of diameter increment observations of over 2.3 million trees from 10 National Forest Inventories in Europe and a set of 99 potential explanatory variables covering forest structure, weather, climate, soil and nutrient deposition. Results: Diameter increment models are presented for 20 species/species groups. Selection of explanatory variables was done using a combination of forward and backward selection methods. The explained variance ranged from 10% to 53% depending on the species. Variables related to forest structure (basal area of the stand and relative size of the tree) contributed most to the explained variance, but environmental variables were important to account for spatial patterns. The type of environmental variables included differed greatly among species. Conclusions: The presented diameter increment models are the first of their kind that are applicable at the European scale. This is an important step towards the development of a new generation of forest development simulators that can be applied at the European scale, but that are sensitive to variations in growing conditions and applicable to a wider range of management systems than before. This allows European scale but detailed analyses concerning topics like CO2 sequestration, wood mobilisation, long term impact of management, etcpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSchelhaas et al. Forest Ecosystems (2018) 5:21pt_PT
dc.identifier.doihttps://doi.org/10.1186/s40663-018-0133-3pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/15907
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerOpenpt_PT
dc.subjectEuropean forestspt_PT
dc.subjectdiameter increment modelpt_PT
dc.subjectclimate changept_PT
dc.subjectgrowth modellingpt_PT
dc.subjectNational forest inventorypt_PT
dc.titleSpecies-specific, pan-European diameter increment models based on data of 2.3 million treespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleForest Ecosystemspt_PT
person.familyNameBarreiro
person.givenNameSusana
person.identifierI-5673-2012
person.identifier.ciencia-id6B15-6DDB-23B1
person.identifier.orcid0000-0003-0174-854X
person.identifier.scopus-author-id146 2598 1200
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2ec50930-1277-4ce0-8016-26e7ae6298ad
relation.isAuthorOfPublication.latestForDiscovery2ec50930-1277-4ce0-8016-26e7ae6298ad

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