6.4 MRV (Measurement, Reporting, Verification): sampling plots, inventory, remote sensing

Here’s a comprehensive, course-ready module on MRV (Measurement, Reporting, and Verification) for agarwood carbon projects, suitable for your Sustainable Agarwood Plantation Management & Carbon Farming Course, manuals, and Oud Academia / CI-ASASE SOPs.


MRV (Measurement, Reporting, Verification) for Agarwood Carbon Projects


1. Introduction

MRV is the backbone of carbon credit projects, ensuring that carbon sequestration claims are accurate, verifiable, and credible.

  • Measurement (M): Collect data on carbon stocks
  • Reporting (R): Document findings and project performance
  • Verification (V): Independent confirmation by third-party auditors

In agarwood plantations, MRV covers biomass, soil carbon, resin contribution, and deadwood.


2. Measurement (Sampling & Inventory)

A. Sampling Plots

  • Permanent sample plots (PSPs): Standard method for plantation carbon assessment
  • Typical sizes: 20×20 m or 25×25 m, depending on tree density
  • Plot placement:
    • Representative of the plantation’s species composition, age, and management practices
    • Random or stratified random sampling to avoid bias

B. Data Collected per Tree

ParameterPurpose
DBH (Diameter at Breast Height, 1.3 m)Estimate aboveground biomass
Tree heightCombined with DBH for allometric equations
Resin induction / heartwood densityAdjusts biomass and carbon stock
Tree healthEnsures long-term carbon permanence
Survival rateDetermines plantation success

C. Biomass Estimation

  • Apply species-specific allometric equations
  • Calculate aboveground, belowground, and resin-adjusted biomass
  • Use destructive sampling for calibration if feasible

3. Soil Carbon Measurement

  • Sample soil at 0–30 cm and 30–60 cm depths
  • Measure:
    • Bulk density
    • Soil organic carbon (SOC) %
    • Moisture content
  • Collect composite samples per plot to reduce variability

4. Deadwood & Litter Assessment

  • Measure fallen branches, pruned biomass, leaves
  • Apply decay factors to estimate long-term carbon contribution
  • Mulched residues contribute to soil carbon over time

5. Remote Sensing & GIS

  • Satellite imagery and drones can complement field plots:
    • Estimate tree canopy cover
    • Detect plantation growth, mortality, and stress
    • Map spatial variability for accurate carbon modeling
  • Useful for large-scale plantations or verification audits

6. Reporting

  • Compile field data, remote sensing, and biomass calculations
  • Include:
    • Project baseline carbon stock
    • Annual carbon accumulation / sequestration rates
    • Inventory of biomass, soil, resin, and deadwood
  • Standard formats: Excel sheets, GIS maps, MRV reports
  • Include metadata: plot IDs, GPS coordinates, sampling dates

7. Verification

  • Third-party auditors check:
    • Accuracy of field measurements
    • Application of allometric equations
    • Proper documentation and traceability
    • Adherence to carbon standard methodology (e.g., Verra VM0047)
  • Sampling & measurement protocols must comply with standardized carbon accounting practices

8. MRV Frequency

ComponentFrequency
Aboveground biomassAnnual or biennial
Soil carbonEvery 2–3 years
Deadwood & litterAnnually
Remote sensing imageryAnnual
Full verification auditEvery 5 years or per credit issuance cycle

9. Integration with Plantation Management

  • Link MRV plots with tree IDs, inoculation points, and harvest cycles
  • Digital tracking enables:
    • Carbon credits calculation
    • ESG reporting
    • Yield and ROI projections
  • Ensures traceability of resin, wood, and carbon

10. Key Takeaways

  • MRV ensures accuracy, transparency, and credibility of carbon credits
  • Combines field sampling, soil analysis, deadwood inventory, and remote sensing
  • Requires systematic reporting and independent verification
  • Integration with resin induction, pruning, and organic management enhances sequestration and ESG value

Optional Next Deliverables

  • 🌱 Step-by-step MRV SOP for agarwood plantations
  • 📊 Sample inventory sheet for field plots and biomass calculation
  • 🧾 MRV logbook template with soil, biomass, and resin data
  • 🗺 Field-to-remote sensing workflow diagram
  • 📘 Farmer-friendly infographic: MRV cycle for carbon credits

I can prepare a ready-to-use MRV SOP + logbook template with plots, remote sensing integration, and carbon calculation workflow, tailored for Oud Academia / CI-ASASE plantations, next.

Do you want me to create that?