USAID’s CREL Project, Bangladesh Marriot Courtyard, Bangkok, Thailand

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USAID’s CREL Project, Bangladesh Marriot Courtyard, Bangkok, Thailand Moving on From Experimental Approaches to Advancing National Systems for Measuring and Monitoring Forest Degradation Across Asia Measuring Degraded Forests and Developing Emissions Factors in Bangladesh MD. SHAMS UDDIN USAID’s CREL Project, Bangladesh Wednesday 17, 2015 Marriot Courtyard, Bangkok, Thailand

Area (Million Hectare) Forest in Bangladesh: Forest covers 9.8% area of the country PA: Category of Forests Area (Million Hectare) Forest Department Managed Forests 1.52 Unclassed State Forest 0.73 Village Forest 0.27 Total 2.52 Mangrove Plantation Wildlife Sanctuary: 17 National Park: 17 PA Covers 10.72% of total forest area Hill Forest Sal Forest Sundarban Reserved Forest Source: NFA 2007

Forest inventory: Bangladesh Year Activity Curtis, 1924 Forest Management Plan for Sundarbans Forestal, 1960 Detailed forest inventory of Sundarbans Forestal, 1964 Chittagong Hill Tracts Hammermaster, 1981 Inventory of the village forests Chaffy et al., 1985 Forest Inventory of the Sundarbans Reserved Forest (SRF) FAO, 2007 National forest resources assessment BFD, USFS, and IPAC 2009 Forest Inventory Sundarbans BFD and IPAC, 2011 Forest carbon inventory (Six PAs) BFD, WI, CREL, 2014 BFD, WI, CREL, 2015 8 Protected Areas 5 Protected Areas (in progress)

REDD+ Activities: Bangladesh Year Progress 2010 UN-REDD as partner country 2011 REDD+ steering committee and technical committee REDD+ Cell Working groups on strategy, safeguards and MRV 2012 REDD+ roadmap 2013 Developed REDD+ Readiness Preparation Proposal (R-PP) RPP implementation with UNREDD, FAO, UNDP, USAID, SilvaCarbon CREL project initiatives in piloting sub-national REL development

Bangladesh National REDD+ Framework USAID’s CREL: NRM BIO GHG Quantity of greenhouse gas emissions, measured in metric tons of CO2e, reduced or sequestered as a result of USG assistance. Number of hectares (ha.) of biological significance and/or natural resources under improved NRM as a result of USG assistance. Number of hectares (ha.) of biological significance and/or natural resources showing improved biophysical condition as a result of USG assistance. Indicator 12 Indicator 13 Indicator 1 Bangladesh National REDD+ Framework

Forest Carbon Inventory 2014: Protected Area Inventoried area (ha) Data collected (n) Khadimnagar NP 679 9 Lawachara NP 2,600 31 Satchari NP 1,810 20 Rema-Kalenga WS 5,550 63 Modhupur NP 8,436 59 Kaptai NP 5,464 57 Chunati WS 7,764 111 Himchari NP 2,000 27 Total 34,303 377

Methodology: (i) Develop Standard Operating Procedure (SOP) In line with the future NFI for Bangladesh under REDD framework Consulted with forest Department (FD), FAO, and WI (ii) Training and mobilize field team FD, Co-management representative, community people (iii) Data collection ODK (Open Data Kit) (iv) Data analysis Live Trees and standing dead trees (CO2 Mg/ha): Seedlings or Saplings (CO2 Mg/ha): Bamboos & Canes (CO2 Mg/ha): Herbaceous vegetation & grasses (CO2 Mg/ha): Soil Analysis: Depth, organic carbon, bulk density

Land cover classification: RapidEye imagery (2013), WorldView 2 (2011) , GoogleEarth Land cover Classes KhNP LNP SNP RKWS MNP KNP CWS HNP Total (ha) Agriculture 3 137 1 555 2,083 23 598 128 3,528 Bare land -   29 Degraded land 198 509 657 968 5,873 1,385 9,589 Forest 479 1,400 953 4,782 2,233 3,786 507 132 14,272 Plantation 93 578 42 361 15 1,088 Rubber 92 495 587 Settlement 310 68 2,872 271 981 329 4,831 Tea 98 227 104 20 450 Total PA (ha) 779 2,583 1,806 5,518 8,261 5,090 8,320 2,016 34,373

Seedlings, saplings, trees recruitments

Stocking, CO2 Mg/ha at different PAs Total Live trees Dead trees Non-tree Litter Soil CWS 146 104 10 9 23 HNP 53 38 14 KhNP 298 264 - 1 7 26 KNP 258 222 3 5 27 LNP 323 278 4 2 42 MNP 235 195 6 32 RKWS 381 330 46 SNP 266 219 11 34

Forest Inventory 2014 : Deforestation Emission factor, CO₂ Mg/ha   Converted to . . . . Hill Forest Sal Forest Plantation Rubber Degraded forest Tea Garden Agriculture Bare land Converted from . . . . N/A 93.4 114.4 257.9 288 319.1 324.8 15.6 36.6 180.1 210.2 241.3 247.1 21 164.6 194.6 225.7 231.5 143.5 173.6 204.7 210.4 -257.9 -180.1 -164.6 -143.5 30 61.1 66.9 31.1 36.9 -319.1 -241.3 -225.7 -204.7 -31.1 5.8

Forest Inventory 2014 : Degradation  PA Stumps per ha Emissions from extraction of trees (Mg CO2/ha) CWS 26 2.51 KhNP 15 26.44 KNP 65 48.89 LNP 30 6.43 RKWS 19 19.00 SNP 40 18.02 MNP 4.03 ALL sites 31 17.90

Conclusion: Results shared with FD Need skill manpower Varied drivers of changes

Thank you