This repository contains code central to:
- Walker, W.S., S.R. Gorelik, S.C. Cook-Patton, A. Baccini, M.K. Farina, K.K. Solvik, P.W. Ellis, J. Sanderman, R.A. Houghton, S.M. Leavitt, C.R. Schwalm, and B.W. Griscom. 2022. The global potential for increased storage of carbon on land. Proceedings of the National Academy of Sciences, doi:10.1073/pnas.2111312119.
Output spatial and tabular data are available for download from Harvard Dataverse: https://doi.org/10.7910/DVN/DSDDQK.
- 1_mapping contains code used to model/map current, potential, and unrealized potential carbon in aboveground biomass, belowground biomass, and soil organic matter at the 500m spatial resolution.
- 2_analysis contains code used to summarize global carbon stocks using raster-based zonal statistics.
- classes contains tables used to identify classes in zonal rasters.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND). You may not use this work for commercial purposes; if you transform or build upon this work, you may not distribute the modified version. You must cite the above paper by Walker et al. (2022) when using any of this repository's contents for any purpose.