Soil carbon stocks in Rangeland from 1990 to 2021

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Authors: Chiara Pasut, Brendan Malone, Sebastian Ugbaje, Nick Shepherd, Dan Zwartz, Dan Pagendam, Senani B. Karunaratne
Cited by: 0

Abstract

The dataset accompanying this study provides monthly gridded estimates of soil organic carbon (SOC) stocks (t C ha⁻¹) across the Australian rangelands from 1990 to 2021, generated using the hybrid modelling framework that integrates FullCAM process-based simulations with hierarchical spatial statistical modelling. The collection includes raster outputs of mean and median SOC (t C ha⁻¹), together with the associated 5th and 95th percentiles, constrained to the model’s Area of Applicability at a spatial resolution of 0.05°. These data enable transparent and spatially explicit assessment of SOC dynamics at the national scale by combining mechanistic simulations, causal driver analysis, environmental similarity filtering, and spatio-temporal Bayesian prediction. Public release of these outputs supports reproducibility and facilitates exploration of spatial and temporal variability in SOC. The dataset is intended for large-scale research and policy applications and is not designed to support farm-level or project-scale carbon accounting. The data are restricted to research only licence.

Fields of Study & Subjects

Soil Carbon and Nitrogen Dynamics Soil Geostatistics and Mapping Soil erosion and sediment transport

Publication details

Journal / source
CSIRO
Publication date
1 January 2026
Language
EN
Document type
Dataset