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

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

Ecological Modelling, 2021, vol. 441, issue C

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.

Keywords: Sardinia; WorldClim; Species distribution model; Seasonal climatic variations; Data reliability (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:441:y:2021:i:c:s0304380020304208

DOI: 10.1016/j.ecolmodel.2020.109354

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