Soil Carbon Atlas

Total Soil Carbon Stocks and Density Across Management Scenarios

Author

Akash B V

Published

April 10, 2026

Soil carbon is the primary metric for climate change mitigation in agriculture. Higher soil carbon stocks indicate more atmospheric CO2 sequestered into persistent soil organic matter pools. See the Scenario Definition Table for practice parameters and simulation details.

Validation Status

These results are from a proof-of-concept modeling framework that has not been validated against field observations. Interpret all values as illustrative projections, not empirical estimates.

County-Level Total Soil Carbon

County maps show the total mass of soil carbon (Gg C) summed across all annual cropland fields in each county. Central Valley counties (Kern, Fresno, Tulare, San Joaquin) dominate because they contain the most cropland area – not necessarily because of higher per-hectare soil carbon.

Combined View: Baseline + Scenario Differences

The most powerful comparison view. The first panel shows absolute baseline soil carbon stocks. Panels 2–6 show each scenario’s difference from baseline (positive values indicate increases, negative values indicate decreases).

Combined view showing baseline soil carbon alongside scenario differences for each county

Baseline absolute + scenario differences for soil carbon

Interpretation

All management scenarios increase county-level soil carbon relative to baseline. Compost (+12.2%) and stacked (+16.6%) show the strongest gains. Tillage reductions produce small but positive effects: reduced till (+0.2%) and zero till (+0.4%). Drip irrigation (+3.3%) provides moderate gains. The largest absolute increases occur in high-acreage Central Valley counties (Kern, Fresno, Tulare) where even modest per-hectare increases translate to large county totals.

All Scenarios Side-by-Side

All six scenarios on a consistent color scale for direct visual comparison.

Faceted map showing county-level total soil carbon for all six management scenarios on a consistent scale

All scenarios – county total soil carbon

Individual Scenario Maps

Baseline county total soil carbon map

County total soil carbon – Baseline

Baseline agricultural practices. This is the reference against which all management scenarios are compared.

Compost scenario county total soil carbon map

County total soil carbon – Compost

Compost application directly adds organic carbon to soil. Expected to show the strongest per-practice effect on soil carbon because it physically increases C inputs beyond what crops alone provide.

Reduced till county total soil carbon map

County total soil carbon – Reduced Till

Reduced tillage preserves soil aggregates, slowing decomposition of protected organic matter. The effect is through reduced C loss rather than increased C inputs.

Zero till county total soil carbon map

County total soil carbon – Zero Till

No mechanical soil disturbance. Surface residue builds a mulch layer over time. Soil carbon effects in the literature are debated – some studies show vertical redistribution rather than net gain.

Drip irrigation county total soil carbon map

County total soil carbon – Drip Irrigation

Conversion from flood/sprinkler to drip irrigation. Soil carbon gain likely mediated through altered moisture regimes affecting decomposition rates and root growth.

Stacked scenario county total soil carbon map

County total soil carbon – Stacked

All practices combined. Represents maximum adoption.


County-Level Difference Maps (Scenario - Baseline)

These maps directly answer: “Does this practice increase or decrease soil carbon compared to current management?”

Positive differences indicate increases in soil carbon (climate benefit); negative differences indicate decreases.

All Scenarios Compared

Faceted difference maps showing soil carbon changes from baseline for five management scenarios

All scenario differences from baseline – county total soil carbon

Interpretation

All scenarios show soil carbon gains relative to baseline. Compost (+12.2%), drip irrigation (+3.3%), and stacked (+16.6%) show the clearest gains. Reduced tillage (+0.2%) and zero tillage (+0.4%) show small positive effects consistent with reduced soil disturbance preserving organic matter. The spatial pattern of gains broadly follows cropland area – the largest absolute gains occur where there is the most cropland to respond.

Individual Difference Maps

Compost minus baseline soil carbon difference map

Soil carbon difference – Compost vs Baseline

Compost increases soil carbon substantially across the Central Valley. The effect is driven by direct organic matter addition. Statewide total increases from 112.3 to 125.9 Tg C (+12.2%). This magnitude is broadly consistent with field studies of compost application in California: Ryals and Silver (2013, Ecological Applications) reported SOC increases of approximately 0.5–1.0 Mg C ha⁻¹ in the top 10 cm over 3 years following a single compost application to California grasslands. Our modeled gains reflect repeated annual application over 8 years to croplands, so a larger cumulative effect is expected.

Reduced till minus baseline soil carbon difference map

Soil carbon difference – Reduced Till vs Baseline

Small positive gain in soil carbon (+0.2% statewide, +0.14 Mg C ha⁻¹). Reduced tillage preserves soil aggregates and slows decomposition of physically protected organic matter. The modest magnitude over 8 years is consistent with the Six et al. (2004, Oecologia) meta-analysis, which found that no-till SOC benefits are small in the first decade, particularly in dry climates, and become more pronounced after 10+ years as soils approach a new equilibrium.

Zero till minus baseline soil carbon difference map

Soil carbon difference – Zero Till vs Baseline

Small positive gain in soil carbon (+0.4% statewide, +0.25 Mg C ha⁻¹). Zero till eliminates mechanical soil disturbance entirely, preserving aggregate structure and surface residue. The gain is slightly larger than reduced till, consistent with the greater degree of soil disturbance reduction. The magnitude is at the lower end of literature values for the first decade of adoption (Six et al. 2004, Oecologia), which is expected given that SOC accumulation under no-till is a slow process that accelerates after initial soil structure recovery.

Drip irrigation minus baseline soil carbon difference map

Soil carbon difference – Drip Irrigation vs Baseline

Moderate gains (+3.3% statewide). Conversion from flood/sprinkler to drip irrigation alters soil moisture dynamics, potentially reducing decomposition rates in the upper soil profile by maintaining lower and more consistent soil moisture.

Stacked minus baseline soil carbon difference map

Soil carbon difference – Stacked vs Baseline

Strongest combined gain (+16.6%), exceeding compost alone, with consistent increases across all counties. The stacked scenario combines compost’s direct C input with tillage reduction and drip irrigation’s moisture regulation. The super-additive effect (+16.6% vs. compost’s +12.2%) suggests practice interactions where reduced tillage and altered moisture regimes enhance the retention of compost-derived organic matter.


Field-Level Soil Carbon Density

Field density maps show per-hectare soil carbon (Mg C ha⁻¹) at each of ~132,000 individual agricultural fields. This isolates the per-area effect from county cropland area, revealing how soil type, climate, and topography drive spatial variation.

All Scenarios Side-by-Side

Faceted map showing field-level soil carbon density for all six scenarios

All scenarios – field-level soil carbon density

Individual Scenario Maps

Baseline field-level soil carbon density map

Field soil carbon density – Baseline

Spatial variation reflects underlying environmental gradients: soil clay content, organic carbon density, temperature, and moisture. Sacramento Valley (north) tends to show higher per-hectare SOC than San Joaquin Valley (south), consistent with cooler temperatures slowing decomposition.

Compost field-level soil carbon density map

Field soil carbon density – Compost

Reduced till field-level soil carbon density map

Field soil carbon density – Reduced Till

Zero till field-level soil carbon density map

Field soil carbon density – Zero Till

Drip irrigation field-level soil carbon density map

Field soil carbon density – Drip Irrigation

Stacked field-level soil carbon density map

Field soil carbon density – Stacked


Field-Level Soil Carbon Differences

Field-level difference maps reveal where practices have the greatest per-hectare impact, independent of county cropland area. These are the most spatially informative maps in the atlas.

All Scenarios Compared

Faceted field-level difference maps for soil carbon density across management scenarios

All scenario differences – field soil carbon density

Interpretation

Compost and stacked scenarios show relatively uniform increases across nearly all fields, indicating the practice effect is geographically consistent – compost increases soil carbon regardless of local soil or climate conditions. Tillage scenarios (reduced till, zero till) show small but uniformly positive differences, confirming that the SOC benefit of reduced soil disturbance, while modest, is not restricted to specific regions or soil types.

Individual Difference Maps

Field-level difference in soil carbon density for compost vs baseline

Field soil carbon difference – Compost vs Baseline

Near-uniform increases across all fields. The compost effect on soil carbon is driven primarily by the practice itself (direct organic matter input) rather than by site-specific soil or climate conditions.

Field-level difference in soil carbon density for reduced till vs baseline

Field soil carbon difference – Reduced Till vs Baseline

Field-level difference in soil carbon density for zero till vs baseline

Field soil carbon difference – Zero Till vs Baseline

Field-level difference in soil carbon density for drip irrigation vs baseline

Field soil carbon difference – Drip Irrigation vs Baseline

Field-level difference in soil carbon density for stacked vs baseline

Field soil carbon difference – Stacked vs Baseline

Largest per-hectare gains. The uniform spatial pattern indicates the combined practices work consistently across California’s diverse agricultural environments.