Replicable Fine-SpatioTemporal Climate Data for Long-Term Ecology in the Western Mediterranean
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Romera-Romera, Daniel; Alba Sánchez, María Francisca; Abel Schaad, Daniel; Nieto Lugilde, DiegoEditorial
Springer Nature
Date
2025-05-06Referencia bibliográfica
Romera-Romera, D., Alba-Sánchez, F., Abel-Schaad, D. et al. Replicable Fine-Spatio-Temporal Climate Data for Long-Term Ecology in the Western Mediterranean. Sci Data 12, 747 (2025). [DOI: 10.1038/s41597-025-05067-9]
Sponsorship
MICIU/AEI/ 10.13039/501100011033 - NextGenerationEU/PRTR (Project I+D+i TED2021- 132631B-I00); European Union - NextGenerationEU/PRTR (TED2021-130133B-I00)Abstract
Despite the increasing availability of climate data through various databases, obtaining fine temporal and spatial resolution data for past periods remains challenging. Here, we present (i) a toolkit for applying advanced downscaling techniques to coarse-resolution climate datasets within the widely used R programming framework, and (ii) downscaled data for a region recognized as a global biodiversity hotspot. Specifically, this toolkit consists of two R-packages (dsclim and dsclimtools) that were used to downscale seven climate variables for the Western Mediterranean, providing monthly climate data from 22 ka BP to the year 2100 at a spatial resolution of 11 × 11 km. Our aim is to offer open access to a cutting-edge climate dataset for researchers interested in this region and to encourage the reuse of both the dataset and the toolkit, facilitating the creation of similar high-resolution climate products for other regions. Given the ecological importance of this region, we also provide examples of scientific applications, such as spatio-temporal pattern analysis and ecological niche modeling, demonstrating its scientific value.