References

The following packages were used in this study: (R Core Team 2019, @R-bookdown, @R-datamodelr, @R-distill, @R-dplyr, @R-DT, @R-forcats, @R-ggplot2, @R-knitr, @R-plyr, @R-purrr, @R-readr, @R-rmarkdown, @R-stringr, @R-tibble, @R-tidyr, @R-tidyverse, @bookdown2016, @ggplot22016, @knitr2015, @knitr2014, @plyr2011, @rmarkdown2018, @tidyverse2019)

Allaire, JJ, Rich Iannone, and Yihui Xie. 2020. Distill: R Markdown Format for Scientific and Technical Writing. https://github.com/rstudio/distill.

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2020. Rmarkdown: Dynamic Documents for R. https://github.com/rstudio/rmarkdown.

Bergant, Darko. 2017. Datamodelr: Define and Plot Data Model Diagrams. https://github.com/bergant/datamodelr.

Crowther, T. W., K. E. O. Todd-Brown, C. W. Rowe, W. R. Wieder, J. C. Carey, M. B. Machmuller, B. L. Snoek, et al. 2016. “Quantifying Global Soil Carbon Losses in Response to Warming.” Nature 540 (7631). Springer Science; Business Media LLC: 104–8. https://doi.org/10.1038/nature20150.

Henry, Lionel, and Hadley Wickham. 2020. Purrr: Functional Programming Tools. https://CRAN.R-project.org/package=purrr.

Lawrence, Corey R., Jeffrey Beem-Miller, Alison M. Hoyt, Grey Monroe, Carlos A. Sierra, Shane Stoner, Katherine Heckman, et al. 2020. “An Open-Source Database for the Synthesis of Soil Radiocarbon Data: International Soil Radiocarbon Database (ISRaD) Version 1.0.” Earth System Science Data 12 (1). Copernicus GmbH: 61–76. https://doi.org/10.5194/essd-12-61-2020.

Müller, Kirill, and Hadley Wickham. 2020. Tibble: Simple Data Frames. https://CRAN.R-project.org/package=tibble.

R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

van Gestel, Natasja, Zheng Shi, Kees Jan van Groenigen, Craig W. Osenberg, Louise C. Andresen, Jeffrey S. Dukes, Mark J. Hovenden, et al. 2018. “Predicting Soil Carbon Loss with Warming.” Nature 554 (7693). Springer Science; Business Media LLC: E4–E5. https://doi.org/10.1038/nature25745.

Wickham, Hadley. 2011. “The Split-Apply-Combine Strategy for Data Analysis.” Journal of Statistical Software 40 (1): 1–29. http://www.jstatsoft.org/v40/i01/.

———. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org.

———. 2019a. Stringr: Simple, Consistent Wrappers for Common String Operations. https://CRAN.R-project.org/package=stringr.

———. 2019b. Tidyverse: Easily Install and Load the Tidyverse. https://CRAN.R-project.org/package=tidyverse.

———. 2020a. Forcats: Tools for Working with Categorical Variables (Factors). https://CRAN.R-project.org/package=forcats.

———. 2020b. Plyr: Tools for Splitting, Applying and Combining Data. https://CRAN.R-project.org/package=plyr.

———. 2020c. Tidyr: Tidy Messy Data. https://CRAN.R-project.org/package=tidyr.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2020. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.

Wickham, Hadley, Romain François, Lionel Henry, and Kirill Müller. 2020. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.

Wickham, Hadley, and Jim Hester. 2020. Readr: Read Rectangular Text Data. https://CRAN.R-project.org/package=readr.

Xie, Yihui. 2014. “Knitr: A Comprehensive Tool for Reproducible Research in R.” In Implementing Reproducible Computational Research, edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman; Hall/CRC. http://www.crcpress.com/product/isbn/9781466561595.

———. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.org/knitr/.

———. 2016. Bookdown: Authoring Books and Technical Documents with R Markdown. Boca Raton, Florida: Chapman; Hall/CRC. https://github.com/rstudio/bookdown.

———. 2020a. Bookdown: Authoring Books and Technical Documents with R Markdown. https://github.com/rstudio/bookdown.

———. 2020b. Knitr: A General-Purpose Package for Dynamic Report Generation in R. https://yihui.org/knitr/.

Xie, Yihui, J.J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.

Xie, Yihui, Joe Cheng, and Xianying Tan. 2020. DT: A Wrapper of the Javascript Library Datatables. https://github.com/rstudio/DT.

References

R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.