Monitoring, Reporting and Verification System (MRV) in Bangladesh Md. Abdul Latif Mia 17 September 2014

Basic Facts Population: 160 M Population Density: 1015 per sq KM Per capita GDP: 838 USD Area: 147,570 Sq KM Forest Area: 2.6 M Hectres GDP Growth Rate: 6% Total Emission: 59,608 Gg Emission from LUCF: 18,026 Gg

MRV context of the Country National Forest Inventory (NFI): the previous NFI has not covered some forest type (the sampling strategy did not covered some forest types) Forest Monitoring System (FMS): one national forest cover assessment was performed (coarse resolution), and several sub-national land cover assessment (not compatible between each other) Green House Gas Inventory (GHG-I): mainly performed by contracting external resources

Emission Factors There is no regular national forest inventory to provide emission factors 1. General aspects of the monitoring system

Types of Carbon poolTier Level Aboveground biomassTier 3 Underground biomassTier 3 LitterTier 3 Dead woodTier 3 SoilTier 3 Comments: These carbon pools were only calculated for Sundarban Reserved Forest and other 6 protected areas under a project but for the other forest areas no such estimation is available Emission Factors – Methodology use for current estimation

Source: NFA 2007 Experience at National Level National Forest Inventory (NFI): NFI conducted for the first time in NFI has not covered some forest type (the sampling strategy did not covered some forest types)

Inventory of the Hill Forests ( , , ) Inventory of the Plain land Sal Forests ( , ) Inventory of the Sundarban Reserved Forests ( , , ) Inventory of the Coastal Afforestation ( ) Experience at Sub-national Level Detailed inventories were conducted in different forest types in different year under different project using different methodologies. They are:

During the 1 st and 2 nd National Communication, Approach 1 (total area of each land category estimated, but area of conversions not provided, and non-spatial) was used for GHG reporting Activity data Forest Monitoring System: Project based monitoring one national forest cover assessment was performed using the Landsat of several sub-national assessment conducted under different project using different methodology in different time

Mid to very high resolution satellite imageries was used for the assessment of the forest areas in different times Experience at sub-national Level in Sundarban SRF assessment and mapping was done using aerial photo of 1960, 1981, 1995 and IKONOS imagery of 2012 No accuracy assessment was done

Assessment of the Hill Forests (part)( , 1998, 2013) (Aerial photo, SPOT 4, IKONOS and Rapid eye) Assessment of the Plain land Sal Forests ( , 2013) (Aerial photo and IKONOS) Assessment of the Sundarban Reserved Forests (1960, 1985, 1998, 2013) (Aerial photo and IKONOS) Assessment of the Coastal Afforestation (1992, 1997, 2013 ) (Aerial photo and Rapid eye) Several other assessment was done for the protected areas using satellite imagery (Landsat, SPOT, LISIII, LISSIV, Geoeye) Other experiences at Sub-national Level Assessment was done in different forest types using aerial photographs and satellite imageries in different year under different project. They are:

Future Plan - Successful implementation of the Readiness Preparation Proposal (R-PP)

Three national multi-stakeholder workshops Five regional multi-stakeholder workshops Village-level consultations National ‘way forward’ workshop About 700 individuals directly involved in consultations prior to R-PP development

 R-PP Approved by the Policy Board of UN-REDD Programme in December 2013  R-PP included all the activities related to development of Emission factors and monitoring system  R-PP is used to develop the projects

 One project has been designed for the calculation of emission factor and generation of activity data with the help of Silva Carbon & FAO, is supposed to be started during the end of 2014  Parallel Implementation of National Programme under UN-REDD Programme, is supposed to be started in October 2014  capacity building for field inventory and geospatial data processing is on going activity under a project  sustainable support for the capacity building  flow of funding  Exchange of knowledge, views and experiences for the development of a operational MRV system 2. Way forward for the development and implementation of MRV & monitoring