Conclusion
Climate change is a complex and multifaceted phenomenon. Understanding its impacts on biodiversity requires a comprehensive approach. While individual climate change metrics are typically used to explore impacts on faets of biodiversity, climate change itself encompasses multiple variables and dimensions (Garcia et al. 2014; González-Trujillo, 2023). The climetrics R package provides a convenient set of tools for characterising and comparing various dimensions of climate change on equal footing.
The package has wide-ranging applications in fields such as biogeography, global change biology, macroecology, as well as in practical sectors like agriculture, forestry, fisheries, and human health. The climetrics R package can be used in isolation or integrated with other analytical tools to gain insight into climate change and its impacts on biodiversity.
The climetricspackage is open source, hosted on CRAN, and is freely available to all R users. It operates with raster time series data and depends on a several R packages including “rts” (Naimi, 2021) , “raster ” (Robert J. Hijmans, 2021a), and “terra ” (Robert J. Hijmans, 2021b). By making these tools readily available, the package empowers researchers and practitioners to addressing the challenges posed by climate change onto ecosystems and species conservation worldwide.