The worldwide bioclimatic classification system (WBCS) of Rivas-Martínez was applied to the Italian territory and surrounding areas between latitudes 35°47′–46°60′ N and longitudes 5°92′–21°39′ E. The ‘WorldClim’ precipitation and temperature dataset was used as the source data. Application of the WBCS in a geographic information system allowed the production of macrobioclimates, bioclimates, ombrotypes, continentality, compensated thermicity index and ombro-evaporal index maps at a scale of 1:5,500,000, and a map of thermotypes at a scale of 1:2,250,000. Moreover, the isobioclimates of Italy are identified and quantified in terms of areas. These maps are available here as raster datasets (1 km spatial resolution) and are useful for: (i) rapid bioclimatic diagnosis of the Italian territories; and (ii) vegetation–environment relationship modeling at the national scale.

Bioclimate of Italy: application of the worldwide bioclimatic classification system / Pesaresi, Simone; Galdenzi, Diana; Biondi, Edoardo; Casavecchia, Simona. - In: JOURNAL OF MAPS. - ISSN 1744-5647. - ELETTRONICO. - 10:4(2014), pp. 538-553. [10.1080/17445647.2014.891472]

Bioclimate of Italy: application of the worldwide bioclimatic classification system

PESARESI, SIMONE;GALDENZI, DIANA;BIONDI, EDOARDO;CASAVECCHIA, Simona
2014-01-01

Abstract

The worldwide bioclimatic classification system (WBCS) of Rivas-Martínez was applied to the Italian territory and surrounding areas between latitudes 35°47′–46°60′ N and longitudes 5°92′–21°39′ E. The ‘WorldClim’ precipitation and temperature dataset was used as the source data. Application of the WBCS in a geographic information system allowed the production of macrobioclimates, bioclimates, ombrotypes, continentality, compensated thermicity index and ombro-evaporal index maps at a scale of 1:5,500,000, and a map of thermotypes at a scale of 1:2,250,000. Moreover, the isobioclimates of Italy are identified and quantified in terms of areas. These maps are available here as raster datasets (1 km spatial resolution) and are useful for: (i) rapid bioclimatic diagnosis of the Italian territories; and (ii) vegetation–environment relationship modeling at the national scale.
2014
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/163552
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