Published March 13, 2023
| Version v1.2
Dataset
Open
Global mangrove soil carbon data set at 30 m resolution for year 2020 (0-100 cm)
Creators
- 1. EnvirometriX Ltd
- 2. Department of Zoology, University of Cambridge
Description
Global soil organic carbon stocks in mangrove forests at 30 m resolution, and predicted for 2020 using spatiotemporal ensemble machine learning. Soil organic carbon stock (t/ha) was derived using predictions of soil organic carbon content and bulk density (BD) to 1 m soil depth, which were then aggregated to calculate soil organic carbon stocks.
The "mangroves_tiles_SOC_predictions_2020.zip" file contains predictions of SOC content, Bulk Density (BD) and aggregated SOC stocks (t/ha) for 0—100 cm depth interval. Example of a tile:
- 089E_21N (89E to 90E, 21N to 22N):
- sol_db.od_mangroves.typology_m_30m_s0..100cm_2020_global_v0.1.tif = predicted BD aggregated to 0—100 cm;
- sol_soc.wpct_mangroves.typology_m_30m_s0..0cm_2020_global_v1.1.tif = predicted SOC content (%) at 0 cm depth (surface soil);
- sol_soc.wpct_mangroves.typology_m_30m_s0..100cm_2020_global_v1.1.tif = predicted SOC content (%) for 0—100 cm;
- sol_soc.tha_mangroves.typology_m_30m_s0..100cm_2020_global_v0.1.tif = predicted SOC stocks in t/ha (mean value);
- sol_soc.tha_mangroves.typology_l.std_30m_s0..100cm_2020_global_v0.1.tif = predicted SOC stocks in t/ha lower 95% probability prediction interval;
- sol_soc.tha_mangroves.typology_u.std_30m_s0..100cm_2020_global_v0.1.tif = predicted SOC stocks in t/ha upper 95% probability prediction interval;
Example of a tile:
- class : RasterLayer
- dimensions : 4004, 4004, 16032016 (nrow, ncol, ncell)
- resolution : 0.00025, 0.00025 (x, y)
- extent : 88.9995, 90.0005, 20.9995, 22.0005 (xmin, xmax, ymin, ymax)
- crs : +proj=longlat +datum=WGS84 +no_defs
- source : sol_db.od_mangroves.typology_m_30m_s0..0cm_2002_global_v0.1.tif
To load global mosaics Soil Carbon t/ha Maps (0—100cm) as COGs directly into QGIS or similar, best use:
Notes
Files
001_mangroves_SOC_preview.png
Additional details
Related works
- Is supplement to
- Dataset: 10.5281/zenodo.1469347 (DOI)