sbtn_natural_forests_map
created_on
2023-07-21T15:22:56.669431
updated_on
2024-11-07T23:14:28.960697
resolution_description
30×30 meters
geographic_coverage
Global
citation
Mazur, E., M. Sims, E. Goldman, M. Schneider, F. Stolle, M. Daldoss Pirri, and C.R. Beatty. 2023. “SBTN Natural Lands Map”.
source
Mazur, E., M. Sims, E. Goldman, M. Schneider, F. Stolle, M. Daldoss Pirri, and C.R. Beatty. 2023. “SBTN Natural Lands Map”. [Link](https://sciencebasedtargetsnetwork.org/wp-content/uploads/2024/09/Technical-Guidance-2024-Step3-Land-v1-Natural-Lands-Map.pdf)
overview
This dataset displays the extent of natural forest and non-natural tree cover in 2020, drawing from the relevant classes delineated in the Science Based Targets Network’s (STBN) Natural Lands Map. These data draw from multiple sources to develop a global map of natural and non-natural land cover with a globally consistent classification scheme. <br><br>Definitions of natural ecosystems and forests published by the Accountability Framework Initiative (Afi) and Food and Agriculture Organization (FAO) were adopted to develop the map. Here, forests are defined as land spanning more that 0.5 hectares that is dominated by trees greater than 5-m in height and a canopy cover of more than 10 percent. A natural forest is defined as one that resembles – in terms of species composition, structure, and ecological function – what would be found in a given area absent major human impacts. However, Afi guidance states that thresholds established by national and sub- national forest definitions may take precedence, and regional maps of land cover were given priority over global data. Users should refer to the [technical documentation](https://sciencebasedtargetsnetwork.org/wp-content/uploads/2024/09/Technical-Guidance-2024-Step3-Land-v1-Natural-Lands-Map.pdf) for more details on the input data used to develop the map as well as its limitations.
function
Identifies areas of natural forest in 2020
cautions
This dataset is based on the relevant forest and tree cover classes delineated in the Science Based Targets Networks (SBTN) Natural Lands Map, which itself was developed by bringing together multiple datasets which identify the extent of natural and non-natural lands. Users are encouraged to cross-check their analyses using additional data, including high resolution imagery, and follow up with in-person field visits. Full details on the limitations of these can be found in the [technical documentation](https://sciencebasedtargetsnetwork.org/wp-content/uploads/2024/09/Technical-Guidance-2024-Step3-Land-v1-Natural-Lands-Map.pdf).
id
9955bd1c-128f-49d8-89b2-7f374a1e359d