Reply To: MRV Case Study
The calculation has to be per biome
Transition Cerrado/Atlantic Forest 86 Sub Sample 10
Amazon 145 Sub Sample 13
Caatinga 7 Sub Sample 2
Cerrado 5931 Sub Sample 78
Atlantic forest 205 Sub Sample 15
Totral SAMPLE 118
118 suppliers to be verified.
Take aways
• Information around risk would be necessary as For very high-risk and high-risk regions the values indicated in Table 1 of the standard are to be used while for medium-risk regions the values (after applying the table) can be reduce in 15% (rounding upwards), and for low-risk regions the can be reduce 30% (rounding upwards).
• Sampling of supplier conducted per biome and, as above, related risk.
• Include sample size calculation and list of management system documentation /programs that would be checked
o The companies may have developed several programmes, to guide and monitor their raw material suppliers, promoting the understanding and application of sustainability principles to rural activities, with continuous training and sharing of good management practices. In general, the following actions are commonly observed: -Distribution of manuals or booklets on socio-environmental practices and legal aspects, delivered by staff who have close contact with producers. -Projects in the field, through on-site visits, where monitoring and training are carried out on properties/farms. -Adherence to the codes of conduct of purchasing companies, where suppliers commit to socio-environmental policies to be part of the supply base.
o Procedures for collection and use of geospatial data
o The organization must have an internal procedure to ensure that no double counting is occurring. The procedure should be checked to confirm to be adequate to the operations of the organizations. Randon checks should be made to product lots confirming the procedures are working correctly and that no double counting is occurring.
o Actions to minimise triangulation basically may include: 1) The distances between the suppliers’ farms is a criterion that can be analysed. For example, if a supplier has more than one unit and one of them is blocked, the other must be located at a distance that would be make triangulation economically unfeasible due to the cost of transportation). A risk analysis is carried out on a case-by-case basis, using the supplier data for area and average yield. 2) A productivity analysis of the area or region. If the volume is above the area’s estimated productivity ceiling, this may indicate triangulation and generates a blockage.
