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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15120267 |
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| _version_ | 1866902189725712384 |
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| author | Woodman, Tamsin L. Alexander, Peter Burslem, David F.R.P. Travis, Justin M.J. Winkler, Karina Eigenbrod, Felix |
| author_facet | Woodman, Tamsin L. Alexander, Peter Burslem, David F.R.P. Travis, Justin M.J. Winkler, Karina Eigenbrod, Felix |
| contents | <p>This archive contains a global-scale dataset of landscape patterns that were generated for the paper 'Global assessment of landscape pattern changes from 1992 to 2020'. We calculated landscape patterns at yearly intervals between 1992 and 2020 for six land use and land cover (LULC) classes (urban, cropland, pasture/rangeland, forest, unmanaged grass/shrubland and sparse/no vegetation) using the HILDA+ version 2b dataset (<a href="https://doi.org/10.1038/s41467-021-22702-2">https://doi.org/10.1038/s41467-021-22702-2</a>; <a href="https://doi.org/10.1594/PANGAEA.921846">https://doi.org/10.1594/PANGAEA.921846</a>; <a href="https://doi.pangaea.de/10.1594/PANGAEA.974335">https://doi.pangaea.de/10.1594/PANGAEA.974335</a>; version 2b available at <a href="https://doi.org/10.5281/zenodo.15017066">https://doi.org/10.5281/zenodo.15017066</a>). Six class-level landscape metrics were used to quantify landscape patterns: class area (CA), Landscape Shape Index (LSI), number of disjunct core area patches (NDCA), number of patches (NP), total core area (TCA), and total edge length (TE). These six landscape metrics were calculated at global-scale for landscapes with five different extents: 100, 400, 1600, 6400 and 25600 square kilometres. All landscape metrics were calculated in R using the 'landscapemetrics' package (<a href="https://doi.org/10.1111/ecog.04617">https://doi.org/10.1111/ecog.04617</a>).</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15120267 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Global-scale landscape pattern dataset from 1992 to 2020 Woodman, Tamsin L. Alexander, Peter Burslem, David F.R.P. Travis, Justin M.J. Winkler, Karina Eigenbrod, Felix <p>This archive contains a global-scale dataset of landscape patterns that were generated for the paper 'Global assessment of landscape pattern changes from 1992 to 2020'. We calculated landscape patterns at yearly intervals between 1992 and 2020 for six land use and land cover (LULC) classes (urban, cropland, pasture/rangeland, forest, unmanaged grass/shrubland and sparse/no vegetation) using the HILDA+ version 2b dataset (<a href="https://doi.org/10.1038/s41467-021-22702-2">https://doi.org/10.1038/s41467-021-22702-2</a>; <a href="https://doi.org/10.1594/PANGAEA.921846">https://doi.org/10.1594/PANGAEA.921846</a>; <a href="https://doi.pangaea.de/10.1594/PANGAEA.974335">https://doi.pangaea.de/10.1594/PANGAEA.974335</a>; version 2b available at <a href="https://doi.org/10.5281/zenodo.15017066">https://doi.org/10.5281/zenodo.15017066</a>). Six class-level landscape metrics were used to quantify landscape patterns: class area (CA), Landscape Shape Index (LSI), number of disjunct core area patches (NDCA), number of patches (NP), total core area (TCA), and total edge length (TE). These six landscape metrics were calculated at global-scale for landscapes with five different extents: 100, 400, 1600, 6400 and 25600 square kilometres. All landscape metrics were calculated in R using the 'landscapemetrics' package (<a href="https://doi.org/10.1111/ecog.04617">https://doi.org/10.1111/ecog.04617</a>).</p> |
| title | Global-scale landscape pattern dataset from 1992 to 2020 |
| url | https://doi.org/10.5281/zenodo.15120267 |