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Science

Bioclimates of Italy

, &
Pages 955-960 | Received 23 Mar 2017, Accepted 30 Nov 2017, Published online: 20 Dec 2017

References

  • Biondi, E., Allegrezza, M., Casavecchia, S., Galdenzi, D., Gasparri, R., Pesaresi, S., … Blasi, C. (2014). New and validated syntaxa for the checklist of Italian vegetation. Plant Biosystems – An International Journal Dealing with all Aspects of Plant Biology, 148(2), 318–332. doi: 10.1080/11263504.2014.892907
  • Biondi, E., Allegrezza, M., Casavecchia, S., Galdenzi, D., Gasparri, R., Pesaresi, S., … Blasi, C. (2015). New insight on Mediterranean and sub-Mediterranean syntaxa included in the Vegetation Prodrome of Italy. Flora Mediterranea, 25(Special Issue), 77–102. doi: 10.7320/FlMedit25SI.077
  • Biondi, E., & Baldoni, M. (1993). A bioclimatic characteristics of the Italian peninsula. In Gea Program (Ed.), Effects of atmospheric pollulants on climate and vegetation (pp. 225–250). Roma: Taormina.
  • Biondi, E., & Baldoni, M. (1995). The climate and vegetation of peninsular Italy. Colloques Phytosociologiques, 23, 675–721.
  • Biondi, E., Blasi, C., Allegrezza, M., Anzellotti, I., Azzella, M. M., Carli, E., … Zivkovic, L. (2014). Plant communities of Italy: The Vegetation Prodrome. Plant Biosystems – An International Journal Dealing with all Aspects of Plant Biology, 148(4), 728–814. doi: 10.1080/11263504.2014.948527
  • Biondi, E., Casavecchia, S., Pesaresi, S., Gangale, C., & Uzunov, D. (2014). New syntaxa for the Prodrome of Italian vegetation. Plant Biosystems – An International Journal Dealing with all Aspects of Plant Biology, 148(4), 723–727. doi: 10.1080/11263504.2014.945508
  • Blasi, C., & Michetti, L. (2005). Biodiversity and climate. In C. Blasi, L. Boitani, S. La Posta, F. Manes, & M. Marchetti (Eds.), Biodiversity in Italy. Contribution to the national biodiversity strategy (pp. 57–66). Roma: Palombi Editori.
  • Brunetti, M., Maugeri, M., Nanni, T., Simolo, C., & Spinoni, J. (2014). High-resolution temperature climatology for Italy: Interpolation method intercomparison. International Journal of Climatology, 34(4), 1278–1296. doi: 10.1002/joc.3764
  • Canu, S., Rosati, L., Fiori, M., Motroni, A., Filigheddu, R., & Farris, E. (2015). Bioclimate map of Sardinia (Italy). Journal of Maps, 11(5), 711–718. doi: 10.1080/17445647.2014.988187
  • Cohen, J. (1968). Weighted kappa: Nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin, 70(4), 213–220. doi: 10.1037/h0026256
  • Desiato, F., Fioravanti, G., Fraschetti, P., Perconti, W., & Toreti, A. (2011). Climate indicators for Italy: Calculation and dissemination. Advances in Science and Research, 6, 147–150. doi: 10.5194/asr-6-147-2011
  • Hengl, T. (2007). A Practical guide to geostatistical mapping. EUR – scientific and technical research reports. Luxembourg: Office for Official Publications of the European Communities. doi: 10.1016/0277-9390(86)90082-8
  • Hiemstra, P. H., Pebesma, E., Twenhöfel, C. J. W., & Heuvelink, G. B. M. (2009). Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network. Computers & Geosciences, 35(8), 1711–1721. doi: 10.1016/j.cageo.2008.10.011
  • Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005). Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25(15), 1965–1978. doi: 10.1002/joc.1276
  • Mucina, L., Bültmann, H., Dierßen, K., Theurillat, J.-P., Raus, T., Čarni, A., … Peet, R. (2016). Vegetation of Europe: Hierarchical floristic classification system of vascular plant, bryophyte, lichen, and algal communities. Applied Vegetation Science, 19, 3–264. doi: 10.1111/avsc.12257
  • Pebesma, E. (2004). Multivariable geostatistics in S: The gstat package. Computers & Geosciences, 30, 683–691. doi: 10.1016/j.cageo.2004.03.012
  • Pesaresi, S., Galdenzi, D., Biondi, E., & Casavecchia, S. (2014). Bioclimate of Italy: Application of the worldwide bioclimatic classification system. Journal of Maps, 10(4), 538–553. doi: 10.1080/17445647.2014.891472
  • Petrarca, S., Spinelli, F., Cogliani, E., & Mancini, M. (1999). Profilo climatico dell’Italia. Volume 0 – introduzione metodologica. Rome: ENEA.
  • R Core Team. (2012). R: A language and environment for statistical computing. Vienna, Austria: R foundation for statistical computing. Retrieved from http://www.r-project.org/
  • Rivas-Martínez, S. (1993). Bases para una nueva clasificacion bioclimatica de la Tierra. Folia Botanica Madritensis, 10, 1–23.
  • Rivas-Martínez, S. (2004). Global bioclimatics (Clasificación Bioclimática de la Tierra). Retrieved from http://www.globalbioclimatics.org/book/bioc/global_bioclimatics_0.htm
  • Rivas-Martínez, S. (2008). Global bioclimatics (Clasificación Bioclimática de la Tierra). Retrieved from http://www.globalbioclimatics.org/book/bioc/global_bioclimatics-2008_00.htm
  • Rivas-Martínez, S., Penas, A., Del Rio, S., Rivas Sáenz, S., & García-Sancho, L. (2015). New bioclimatic Antarctic data variants and thermotypes. International Journal of Geobotanical Research, 5, 61–63.
  • Rivas-Martínez, S., Sáenz, S. R., & Penas, A. (2011). Worldwide bioclimatic classification system. Global Geobotany, 1, 1–634.