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High spatial resolution bioclimatic variables to support ecological modelling in a Mediterranean biodiversity hotspot

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  • Bazzato, Erika
  • Rosati, Leonardo
  • Canu, Simona
  • Fiori, Michele
  • Farris, Emmanuele
  • Marignani, Michela

Abstract

Understanding the effects of climate on biodiversity and its different levels of response to climatic variation is important for addressing conservation-based questions: the use of bioclimatic variables and species modelling tools is common in environmental, agricultural and biological sciences. Unfortunately, most of the ecological local studies are limited to the use of global data with coarse spatial resolutions, while fine‐grain climate data are necessary to capture environmental variability and perform reliable modelling. We propose a high-resolution dataset (40 m grid) of the suite of original coarse-grain bioclimatic variables proposed by WorldClim 2 for the island of Sardinia (Italy); variations amongst our dataset and WorldClim 2 were calculated and mapped to show the spatial distribution of differences between all pairs of variables.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ecomod:v:441:y:2021:i:c:s0304380020304208
    DOI: 10.1016/j.ecolmodel.2020.109354
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    1. Di Febbraro, Mirko & D’Amen, Manuela & Raia, Pasquale & De Rosa, Davide & Loy, Anna & Guisan, Antoine, 2018. "Using macroecological constraints on spatial biodiversity predictions under climate change: the modelling method matters," Ecological Modelling, Elsevier, vol. 390(C), pages 79-87.
    2. Pecchi, Matteo & Marchi, Maurizio & Burton, Vanessa & Giannetti, Francesca & Moriondo, Marco & Bernetti, Iacopo & Bindi, Marco & Chirici, Gherardo, 2019. "Species distribution modelling to support forest management. A literature review," Ecological Modelling, Elsevier, vol. 411(C).
    3. Simona Canu & Leonardo Rosati & Michele Fiori & Andrea Motroni & Rossella Filigheddu & Emmanuele Farris, 2015. "Bioclimate map of Sardinia (Italy)," Journal of Maps, Taylor & Francis Journals, vol. 11(5), pages 711-718, October.
    4. 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.
    5. Maurizio Marchi & Iztok Sinjur & Michele Bozzano & Marjana Westergren, 2019. "Evaluating WorldClim Version 1 (1961–1990) as the Baseline for Sustainable Use of Forest and Environmental Resources in a Changing Climate," Sustainability, MDPI, vol. 11(11), pages 1-14, May.
    6. Simone Pesaresi & Edoardo Biondi & Simona Casavecchia, 2017. "Bioclimates of Italy," Journal of Maps, Taylor & Francis Journals, vol. 13(2), pages 955-960, November.
    7. Mauro Fois & Gianluigi Bacchetta & Donatella Cogoni & Giuseppe Fenu, 2018. "Current and future effectiveness of the Natura 2000 network for protecting plant species in Sardinia: a nice and complex strategy in its raw state?," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 61(2), pages 332-347, January.
    8. L. Carmignani & G. Oggiano & A. Funedda & P. Conti & S. Pasci, 2016. "The geological map of Sardinia (Italy) at 1:250,000 scale," Journal of Maps, Taylor & Francis Journals, vol. 12(5), pages 826-835, October.
    9. Fois, Mauro & Cuena-Lombraña, Alba & Fenu, Giuseppe & Bacchetta, Gianluigi, 2018. "Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions," Ecological Modelling, Elsevier, vol. 385(C), pages 124-132.
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