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<p align="left" > <a href='https://carbonplan.org'> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://carbonplan-assets.s3.amazonaws.com/monogram/light-small.png"> <img alt="CarbonPlan monogram." height="48" src="https://carbonplan-assets.s3.amazonaws.com/monogram/dark-small.png"> </picture> </a> </p>carbonplan / forest-risks
forest carbon potential and risks
This repository includes our libraries and scripts for mapping forest carbon potential and risks.
install
pip install carbonplan[forest-risks]
usage
This codebase is organized into modules that implement data loading and model fitting as well as utitlies for plotting and other common tasks. Most anlayses involve some combination of the load and fit modules.
The scripts folder contains tools to import data, run models, and parse results.
The regrid.py and convert.py scripts are for converting the results to zarr files for storage and geojson for visualization purposes.
Several notebooks are additionally provided that show the use of these tools for fitting models and inspecting model outputs. Notebooks are organized by the model type, e.g. biomass, fire, etc.
data products
As part of this project we have created derived data products for five key variables relevant to evaluating forest carbon storage potential and risks.
biomassThe potential carbon storage in forests assuming continued growth of existing forests.fireThe risks associated with forest fires.droughtThe risk to forests from insect-related tree mortality.insectsThe risk to forests from insect-related tree mortality.
Gridded rasters for each of these layers are available for the continental United States at a 4km spatial scale. For biomass and fire, projections are shown through the end of the 21st century in decadal increments. Drought and insect models are still in development so we currently only show historical risks for these disturbance types. All data are accessible via this catalog. Additional formats and download options will be provided in the future.
license
All the code in this repository is MIT-licensed. When possible, the data used by this project is licensed using the CC-BY-4.0 license. We include attribution and additional license information for third party datasets, and we request that you also maintain that attribution if using this data.
about us
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.
contributors
This project is being developed by CarbonPlan staff and the following outside contributors:
- Bill Anderegg (@anderegg)
- Grayson Badgley (@badgley)
- Anna Trugman