The most consequential change in REDD+ accounting is not about measurement. It is about who decides the counterfactual. Baselines now derive from jurisdiction-level deforestation risk allocated across the landscape, rather than from a reference region each project selects for itself.
What "Allocated Risk" Means
Under the older approach, a project analysed historical deforestation in a reference region it chose, and used that rate as its baseline.
Under allocated risk, the jurisdiction's total expected deforestation is estimated centrally, then distributed across the landscape according to where deforestation is most likely, considering proximity to roads and settlements, terrain, tenure, and historical pressure. A project receives the risk allocated to its own area.
| Project-chosen reference region | Jurisdictional allocation | |
|---|---|---|
| Who estimates the rate | The project | Central, jurisdiction-wide |
| Basis | Historical loss in a selected region | Modelled risk allocated spatially |
| Neighbouring consistency | Can conflict | Consistent by construction |
| Project influence | Substantial | Limited to its own boundary |
Why Indonesia Is Particularly Affected
Indonesia has the combination that makes this change bite: large forest area, high historical deforestation pressure concentrated in specific frontiers, and a significant number of existing REDD+ projects established under the earlier approach.
Projects in genuinely high pressure locations, such as accessible frontier forest under active conversion pressure, are likely to see allocated risk that supports a substantial baseline. Projects in remote, low pressure areas that previously benefited from a favourably chosen reference region will see the opposite.
That redistribution is the point of the reform, not a side effect.
The Measurement Consequence
Counter-intuitively, an externally-set baseline raises the importance of the project's own measurement.
Credits are the difference between baseline and measured project carbon. When the baseline is fixed outside the project's control, the entire burden of defending the difference falls on the project side of the subtraction. A wide confidence interval on project carbon now sits against a number the project cannot adjust, and conservative deduction takes its share from the only side that moves.
Projects that invested in stratification and uncertainty quantification are comparatively better off under the new arrangement than under the old one, because the discipline that was optional is now load bearing.
What to Do About It
Check how the allocated risk treats your project area, and understand the drivers behind that allocation rather than only the resulting number.
Then concentrate effort where it still has leverage: sampling design, uncertainty propagation, and data traceability. Those determine what survives on the project side, and unlike the baseline, they remain entirely within your control.
Image credit
Hero image: Oil palm clearing, aerial view, Borneo by T. R. Shankar Raman, CC BY-SA 4.0, via Wikimedia Commons.
Selling into a compliance market?
Compliance buyers examine sampling design, uncertainty and data traceability directly, and a later finding of ineligibility returns the liability to them. TREEO builds the evidence file that answers it.
