2015
DOI: 10.3832/ifor1133-007
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Comparing multisource harmonized forest types mapping: a case study from central Italy

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Cited by 17 publications
(15 citation statements)
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“…For national and regional level inferences, more details are typically needed. For instance, in Italy, a forest type map with 14 classes based on the dominant species are used instead of the classes of the CORINE product [79]. However, at the local level, a classification system of higher levels in detail still might be needed.…”
Section: Implications On Mappingmentioning
confidence: 99%
See 1 more Smart Citation
“…For national and regional level inferences, more details are typically needed. For instance, in Italy, a forest type map with 14 classes based on the dominant species are used instead of the classes of the CORINE product [79]. However, at the local level, a classification system of higher levels in detail still might be needed.…”
Section: Implications On Mappingmentioning
confidence: 99%
“…If the bridging can be carried out by combining the more detailed classes to new ones, harmonized estimates can be obtained with a little work, as in reductive bridging. However, if the local classes have been developed for another purpose, and the new classes cannot be obtained by just combining the old classes, problems can arise [79]. For instance, the number of classes locally used may be different.…”
Section: Implications On Mappingmentioning
confidence: 99%
“…Harmonization of nomenclature systems between the four regional data sets was available from Vizzarri et al (2015). The methodology used to harmonize the four different FT nomenclature systems available for the data sets followed a bottom-up approach, from local to European level, and from FTs to FCs.…”
Section: Methodsmentioning
confidence: 99%
“…The altitude of the region ranges from sea level to 2050 m a.s.l., while annual precipitation amount ranges from 674 mm (Adriatic coast) to 1614 mm (Matese massif). The area is covered by more than 155,000 ha of Mediterranean and temperate forests (approximately 35% of the region extent), with a dominance of turkey oak (40%), downy oak (22%) and beech (10%) forests, and important relict areas for silver fir (Santopuoli et al, 2014;Vizzarri et al, 2014). Factors linked to natural disturbances, e.g.…”
Section: Introductionmentioning
confidence: 99%