Scientific paper

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Address

https://doi.org/10.1088/1748-9326/aabe1c

Details

Format: LINK
Kind of access: Web link
Protocol: WWW:LINK-1.0-http--related
Address: https://doi.org/10.1088/1748-9326/aabe1c

Added to this catalogue

6 Oct 2026

Last updated here

6 Oct 2026

Resource identifier

cc7c0b02-3039-4ed1-8794-fa878d3f12be

At a glance

Format: LINK
Access: Web link
Kept at: doi.org
Licence: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, https://creativecommons.org/publicdomain/zero/1.0/deed.en

Part of the dataset

Global mangrove soil carbon: dataset and spatial maps

FDRE - Ministry of Agriculture (MoA)

Model outputs were updated on Dec 20, 2017. This project used a machine learning data-driven model to predict the distribution of soil carbon under mangrove forests globally. Specifically this dataset contains: 1) a compilation of georeferenced and harmonized soil profile data under mangroves compiled from literature, reports and unpublished contributions 2) global mosaics of soil carbon stocks to 1m and 2m depths produced at 100 m resolution 3) tiled predictions of soil carbon stocks produced at 30 m resolution 4) shape file containing the tiling system 5) shape file containing country boundaries used for calculating national level statistics. For detailed methodologies, please see the scientific paper (https://doi.org/10.1088/1748-9326/aabe1c).