Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/forc-db/GROA

This repository houses data and code for the Global Reforestation Opportunity Assessment (GROA) led by Susan Cook-Patton of the Nature Conservancy.
https://github.com/forc-db/GROA

Last synced: 3 months ago
JSON representation

This repository houses data and code for the Global Reforestation Opportunity Assessment (GROA) led by Susan Cook-Patton of the Nature Conservancy.

Awesome Lists containing this project

README

        

# Global Reforestation Opportunity Assessment (GROA)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3983644.svg)](https://doi.org/10.5281/zenodo.3983644)

These data were assembled by the Nature Conservancy and a team of scientists from 19 institutions to quantify carbon sequestration in naturally regenerating forests around the world. This analysis was published in *Nature* in 2020 (Cook-Patton et al. 2020).

We encourage the research community to collaborate in updating, correcting, expanding, and utilizing this database through the GitHub platform.

### Relationship to ForC
GROA identified relevant studies within the Global Forest Carbon database, [ForC](https://forc-db.github.io/), and tracked down the original studies to confirm or update the data. It is now hosted by the [ForC-db organization on GitHub](https://github.com/forc-db). This repository also contains [code and data files for integration of GROA into ForC](https://github.com/forc-db/GROA/tree/master/GROA-ForC_integration).

## Data Use Policy and Guidelines

### License

GROA is licensed under [CC-BY-4](https://creativecommons.org/licenses/by/4.0/), as described in [`license.txt`](https://github.com/forc-db/GROA/blob/master/license.txt).

### Communication/ collaboration with GROA team

While not required, we encourage researchers planning to use GROA to contact the principal investigator (Dr. Susan Cook-Patton, The Nature Conservancy) to inform her of intended use of the data and to discuss potential collaboration.

### Database citation
Any publications using these data should cite Cook-Patton et al. 2020.

In addition, this database should be referenced as well (DOI representing all versions: [10.5281/zenodo.3983644](https://doi.org/10.5281/zenodo.3983644)). If the data has changed since original publication, arising publications should cite the specific version used, ideally with a DOI associated with that version. Authors may contact Susan Cook-Patton (The Nature Conservancy) or Kristina Anderson-Teixeira (Smithsonian) to generate a release and associated DOI that matches the database version used.

## Citation
Cook-Patton, S.C., S.M. Leavitt, D. Gibbs, N.L. Harris, K. Lister, K.J. Anderson-Teixeira, R.D. Briggs, R.L. Chazdon, T.W. Crowther, P.W. Ellis, H.P. Griscom, V. Herrmann, K.D. Holl, R.A. Houghton, C. Larrosa, G. Lomax, R. Lucas, P. Madsen, Y. Malhi, A. Paquette, J.D. Parker, K. Paul, D. Routh, S. Roxburgh, S. Saatchi, J. van den Hoogen, W.S. Walker, C. E. Wheeler, S. A. Wood, L. Xu, & B. W. Griscom (2020) Mapping Potential Carbon Capture from Global Natural Forest Regrowth. *Nature*, in press.

## Contacts
Susan Cook-Patton, The Nature Conservancy

Kristina Anderson-Teixeira, Smithsonian