Fehrmann, Lutz

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[["dc.bibliographiccitation.firstpage","14"],["dc.bibliographiccitation.journal","Environmental Modelling & Software"],["dc.bibliographiccitation.lastpage","26"],["dc.bibliographiccitation.volume","73"],["dc.contributor.author","Pérez-Cruzado, César"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Cañellas, Isabel"],["dc.contributor.author","Sixto, Hortensia"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2017-09-07T11:47:09Z"],["dc.date.available","2017-09-07T11:47:09Z"],["dc.date.issued","2015"],["dc.description.abstract","Tree biomass estimates in environmental studies are based on allometric models, which are known to vary with species, site, and other forest characteristics. The UNFCCC published a guideline to evaluate the appropriateness of biomass models before application, but it misleads the concept of model suitability and does also allow the selection of models with systematic deviations in the predictions. Here we present an alternative approach based on non-parametric techniques. The approach was tested for pure stands, but this methodology is likewise applicable to mixed forests. The proposed tests perform well in rejecting a model if the predictions for the targeted population are systematically deviant. It is demonstrated that the suitability of an allometric model is a matter of accuracy. The proposed method also allows localizing the model. The presented approach can improve the transparency of global forest monitoring systems and can be implemented with relatively small effort."],["dc.identifier.doi","10.1016/j.envsoft.2015.07.019"],["dc.identifier.gro","3149279"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5938"],["dc.language.iso","en"],["dc.notes.intern","Kleinn Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation","SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien)"],["dc.relation","SFB 990 | B | B05: Land use patterns in Jambi - quantification of structure, heterogeneity and changes of vegetation and land use as a basis for the explanation of ecological and socioeconomic functions"],["dc.relation.issn","1364-8152"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","On the site-level suitability of biomass models"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

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[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Forest Ecosystems"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Kleinn, Christoph"],["dc.contributor.author","Magnussen, Steen"],["dc.contributor.author","Nölke, Nils"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Álvarez-González, Juan Gabriel"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Pérez-Cruzado, César"],["dc.date.accessioned","2021-04-14T08:31:18Z"],["dc.date.available","2021-04-14T08:31:18Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1186/s40663-020-00268-7"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17621"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83552"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","2197-5620"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Improving precision of field inventory estimation of aboveground biomass through an alternative view on plot biomass"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

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