Insights•Perspectives
Explore our latest thoughts, research findings, and field notes on soil science, agroecology, and carbon methodology.
SOC change detection is governed by an inequality between a small management signal (typically 0.1 to 0.5 Mg C/ha/yr) and a noise floor with three components. Two interactive diagrams let the reader move the dials, and the article maps the math to the 2026 MRV regimes (Verra VM0042 v3.0, the GHG Protocol Land Sector and Removals Standard, EU 2024/3012).
Under the GHG Protocol Land Sector and Removals Standard effective 1 January 2027, the soil carbon pool explicitly includes inorganic carbon. A scenario-by-scenario decision rule for when SIC is material, how an unmeasured SIC trend can mask the SOC signal, and what the analytical workflow has to look like.
On tropical farms, a small number of large and remnant trees can dominate carbon stocks. Ignoring them distorts science, farm design, and carbon accounting alike.
Sample size is a consequence, not a starting point. Fix the scale of inference first, ground variance in published data, commit to 0–60 cm and ESM accounting, and design to the MRV standard your buyer will be audited against.
The full accounting chain: from DBH and wood density to a defensible confidence interval. Allometric bias, the retired 0.47 carbon fraction, the Monte Carlo uncertainty budget, and what the 2026 LSR, CCP, and CRCF regimes now demand.
RothC, AMG, Century, DayCent: four models, four different questions they answer best. A decision framework for choosing the right soil carbon model for the claim you need to defend.
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