Global distribution of primary and secondary vegetation at 1km spatial resolution
<p>This dataset provides the global spatial distribution of primary and secondary vegetation at approx. 1km spatial resolution (0.01°). It combines Hilda+ landuse/cover data by Winkler et al. (2020) and the global dataset on human influence by Riggio et al. (2020).</p> <p>The data consists of three NetCDF files: </p> <ul> <li>Primary vegetation</li> <li>Primary vegetation minimal use</li> <li>Secondary vegetation</li> </ul> <p>Primary vegetation is assigned where forests, unmanaged grass-/ shrubland or land with sparse vegetation according to the HILDA+ dataset (classes 44, 55, 66) are under full agreement of low human influence according to the global dataset on human influence.</p> <p>The same HILDA+ classes (44, 55, 66) with full agreement to be under very low human influence according to Riggion et al. (2020) are defined as primary vegetation minimal use.</p> <p>Secondary vegetation consists of forests, unmanaged grass-/ shrubland or land with sparse vegetation according to the Hilda+ dataset (classes 44, 55, 66) that are not classified as primary vegetation.</p> <p> </p> <p>Sources:</p> <p>Winkler, K., Fuchs, R., Rounsevell, M. D. A., Herold, M. (2020): HILDA+ Global Land Use Change between 1960 and 2019. PANGAEA. <a href="https://doi.org/10.1594/PANGAEA.921846">https://doi.org/10.1594/PANGAEA.921846</a> </p> <div> <div> <div> <div> <div> <div> <p>Riggio, J. et al. (2020): Global human influence maps reveal clear opportunities in conserving Earth’s remaining intact terrestrial ecosystems. Dryad. <a href="https://doi.org/10.25338/B80G7Z">https://doi.org/10.25338/B80G7Z</a></p> </div> </div> </div> </div> </div> </div> <p> </p> <p>This seperation of primary and secondary vegetation has been used e.g. in the following studies:</p> <p>Schneider et al. (2024): Effects of profit-driven cropland expansion and conservation policies. Nature Sustainability. <a href="https://doi.org/10.1038/s41893-024-01410-x">https://doi.org/10.1038/s41893-024-01410-x</a></p> <p><span>Piipponen et al. (2024): Protein and energy from grazing or crops - does livestock have a chance? Preprint: </span><a href="https://doi.org/10.21203/rs.3.rs-3392089/v1"><span>https://doi.org/10.21203/rs.3.rs-3392089/v1</span></a></p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0