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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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    References listed on IDEAS

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