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)

  • 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

This work has received funding from the Global Mangrove Alliance. Global Mangrove Alliance is currently coordinated by members Conservation International, The International Union for the Conservation of Nature, The Nature Conservancy, Wetlands International and World Wildlife Fund.

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Additional details

Related works

Is supplement to
Dataset: 10.5281/zenodo.1469347 (DOI)