jupyter notebooks for reproducing figures from an analysis of forest offset projects
This repository includes Jupyter notebooks for reproducing figures related to our analysis of California's compliance forest carbon offsets program. A paper with these figures is currently posted as a preprint:
- Systematic over-crediting in California's forest carbon offsets program Grayson Badgley, Jeremy Freeman, Joseph J. Hamman, Barbara Haya, Anna T. Trugman, William R. L. Anderegg, Danny Cullenward bioRxiv 2021.04.28.441870; doi: https://doi.org/10.1101/2021.04.28.441870
You can download and run the notebooks to genreate these figures locally, or use Binder to run them in a cloud environment. This work is described in more detail in the preprint and in a web article. For a more comprehensive version of our analysis code, see the carbonplan/forest-offsets repository.
See the following Zenodo archives for descriptions of the data used in this repository:
- G Badgley, J Freeman, J J Hamman, B Haya, D Cullenward (2021) California improved forest management offset project database (Version 1.0) http://doi.org/10.5281/zenodo.4630684.
- G Badgley, et al. (2021) Systematic over-crediting in California’s forest carbon offsets program https://doi.org/10.5281/zenodo.4630711.
All the code in this repository is MIT-licensed, but we request that you please provide attribution if reusing any of our digital content (graphics, logo, articles, etc.).
CarbonPlan is a nonprofit organization that uses data and science for climate action. We aim to improve the transparency and scientific integrity of climate solutions with open data and tools. Find out more at carbonplan.org or get in touch by opening an issue or sending us an email.