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Bioclimates of Italy

Author

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  • Simone Pesaresi
  • Edoardo Biondi
  • Simona Casavecchia

Abstract

The Worldwide Bioclimatic Classification System according to Rivas-Martínez (WBCS) is a bioclimatic classification that is widely used in vegetation science, geobotany, and landscape ecology. To date, only one complete WBCS map has been produced for Italy at the national scale. Here, we define two major updates to the WBCS map of Italy: improvements to the surface spatial accuracy for the climate, especially for precipitation; and detailed mapping of the Submediterraneity Index and its levels, which mainly characterize the ecotone area between the Mediterranean and the Temperate macrobioclimates. Finally, all WBCS units (i.e. macrobioclimates, bioclimatic variants, bioclimates, continentality types, bioclimatic belts) and the Submediterraneity Index are mapped on a scale of 1:2,500,000. These maps and the bioclimatic indices and monthly climatic surfaces are available here as raster data-sets (resolution, 900 m) and are useful for accurate bioclimatic diagnosis for the entire Italian territory. They will also support vegetation–environment relationship analysis, ecological modeling, and applied studies of climate change at the national scale.

Suggested Citation

  • Simone Pesaresi & Edoardo Biondi & Simona Casavecchia, 2017. "Bioclimates of Italy," Journal of Maps, Taylor & Francis Journals, vol. 13(2), pages 955-960, November.
    • Handle: RePEc:taf:tjomxx:v:13:y:2017:i:2:p:955-960
    DOI: 10.1080/17445647.2017.1413017
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    References listed on IDEAS

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    1. Simone Pesaresi & Diana Galdenzi & Edoardo Biondi & Simona Casavecchia, 2014. "Bioclimate of Italy: application of the worldwide bioclimatic classification system," Journal of Maps, Taylor & Francis Journals, vol. 10(4), pages 538-553, October.
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    1. Carla Ippoliti & Luca Candeloro & Marius Gilbert & Maria Goffredo & Giuseppe Mancini & Gabriele Curci & Serena Falasca & Susanna Tora & Alessio Di Lorenzo & Michela Quaglia & Annamaria Conte, 2019. "Defining ecological regions in Italy based on a multivariate clustering approach: A first step towards a targeted vector borne disease surveillance," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-21, July.
    2. Bazzato, Erika & Rosati, Leonardo & Canu, Simona & Fiori, Michele & Farris, Emmanuele & Marignani, Michela, 2021. "High spatial resolution bioclimatic variables to support ecological modelling in a Mediterranean biodiversity hotspot," Ecological Modelling, Elsevier, vol. 441(C).

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