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.