Global Dryland Soil Carbon Density Under Drought Scenarios, 1991-2094

A dataset of 4499 mineral-associated organic carbon observations from 364 sites across global drylands. It combines machine-learning prediction, segmented regression, and multi-scenario projections to assess drought-induced regime shifts from 1991 to 2094. The dataset was authored by Zhaoxin Li and published on figshare.

Use Cases

• Projecting soil carbon density changes under SSP126, SSP245, and SSP585 climate scenarios based on the described multi-scenario projections.
• Identifying high-risk regions for soil carbon destabilization based on the defined thresholds for MAOC–drought relationships.
• Estimating additional carbon emissions from drought-induced MAOC destabilization based on the provided annual emission figures.
• Analyzing nonlinear thresholds and divergent response regimes (collapse vs. monotonic decline) in soil carbon based on the described segmented regression analysis.

Strengths

• Contains 4499 MAOC observations from 364 sites, providing a substantial observational basis.
• Projects future scenarios under SSP126, SSP245, and SSP585, offering comparative analysis.
• Defines high-risk regions occupying 25% of global drylands with quantified differences in MAOC density and soil respiration.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.

Provenance

Source

figshare

Collection Method

Combines observations, machine-learning prediction, segmented regression, and multi-scenario projections.

Time Range

1991 to 2094

Freshness

Last updated 2026-05-26 00:24:38; freshness should be verified.

Geography

Global drylands