#1Development of Sub-National FREL in West Kalimantan Hideyuki Kubo JICA Expert Indonesia-Japan Project for Development of REDD+ Implementation Mechanism (IJ-REDD+) 10 November 2016#2LUNU PRESS Dr. Gusti Hardiansyah, Adi Yani, Karsono Rumawadi, Hondarto, Yenny, Etty Septia Sari, Klothilde Sikun, Eka Kurnia Pambudi, Hendra Saputra, Yuliansyah, Asih Idha Listiyowati, Joseph Adiguna Hutabarat, Stephanie Wegscheider, Dr. Rossie Widya Nusantara, Ronny Christianto, Zuhri Haryono, Sigit Normagiat, Edy Sutrisno, Syamsul Rusdi, Rosadi Jamani FREL KAR SELACAUL FOREST REFERENCE EMISSION LEVEL WEST KALIMANTAN POKIA REDO+ KALBAR FAUNA & FLORA INTERNATIONAL Foreword Governor of West Kalimantan J-REDD+ PROJECT PRCF JICA KEHAL Pr giz WWF BANK KALBAR#3Presentation 1. West Kalimantan province. 2. FREL development in West Kalimantan 3. Methods, procedures and data 4. Results 5. Lessons learned 6. Next step#41. West Kalimantan province Total Area: 14.7 million ha Forest cover (1990): 7.6 million ha (52%) (2015): 5.7 million ha (39%) KAB SAMBAS KAB BENGKAYANG KABLANDAK KAB KUBU RAYA KAB SANGGAU KAB KETAPANG KAB MELAWI 1990 MALAYSIA Sabah BRUNEI Sarawak SINGAPORE KAB KAPUAS HULU Sumatra KAB SINTANG Source: Provincial Government of West Kalimantan (2016) Mining site Kalimantan Sulawesi INDONESIA Java#5Peatland area under natural forest (1990) : 1.7 million ha Damla KALIMANTAN BARAT KAUMANTIN 2 Source: Provincial Government of West Kalimantan (2016)#6Empty#7Empty#8Emissions from peatland. 1-10 m 5-50 km <Natural situation> Water table close to surface <Drainage> Water table lowered CO2 emission starts <Continued drainage> Peat surface subsidence Source: Page et al. (2011) Emission: Deforestation + Peat decomposition#92. FREL development in West Kalimantan < Main purpose > To support the implementation of the Low Carbon Forest Investment Strategy described in the REDD+ Strategy in West Kalimantan To promote and implement the Result-Based Payment arrangement in West Kalimantan#10<Timeline > Nov. 2015 Feb. 2016 Mar. May 15 Aug. 29 Aug. Sep. & Oct. Submission of National FREL Start discussion on provincial FREL Introductory WS Data sharing from MoEF 1st technical WS 7th technical WS: Finalize document Presentation in Mexico (GCF-TF) Further elaboration#11< Team > Overall Coordination: Division Head at Provincial Environment Agency (As REDD+ Working Group secretary) Core members: University of Tanjunpura, Provincial Government (Environment, Forestry, Plantation) Advisors: University of Lampung, GIZ, FFI, IJ-REDD+#123. Methods, procedures and data ◆ Calculation 2009 2012 g CO₂ Final Area Unclassified Otherland Settlements Shrub Ticket FL Dry semi-deciduous FL Northwest subtype FL South-east subtype Meist semi-deciduou FL Meist evergreen FL Wet avergreen FL Wet evergre FL Meist evergreen F. Moist semi-decidas FL South-east suttype North-west subtype FL North-west subtype FLDry semi-deciduo Agricultural land Serne Shrub Ticket Settlements Watland 51 5 2 51 42 60 $2 ΤΙΣ 45 60 2 3 1 52 12 2 27 13 20 12 10 25 25 13 36 0 2 Otherland Unclassifed 5 25 "0 10 19 Initial Area 56 44 41 $2 13 23 25 22 12 25 25 10 Net change (T-T1) • 4 4 42 11 +15 F Land cover change data from remote sensing Activity Data Forest carbon stock (change) data from a forest inventory Emission Factor Inventory of greenhouse gas emissions from the forest sector#13< Principles > # Maintain the consistency with the National FREL Definition Activities Carbon pools and Gases Baseline method and period Land cover data & peatland map # Elaboration of carbon stock data for Tier 3 Local inventory data for emission factors#14< Land cover classes by MOEF > Land cover classes Category 1. Primary dryland forest Natural forest 2. Secondary dryland forest Natural forest 34565 3. Primary mangrove forest Natural forest 4. Secondary mangrove forest Natural forest 5. Primary swamp forest. Natural forest 6. Secondary swamp forest. 7. Plantation forest 8. Estate crop Natural forest Plantation forest Non forest 23 Clouds and no data ... Non forest#15Definitions Forest: 0.25ha (area); 5m (high); 30% (canopy cover) Deforestation: Conversion of natural forest cover into other land-cover categories Forest Degradation: A change of primary forest classes to secondary forest classes Peatland: Carbon content >=12%; Layer >=50cm;#16Activities Deforestation and Forest Degradation Carbon pools Above Ground Biomass (AGB) Soil - Emissions from peat decomposition. Gases CO₂ Baseline method and period Historical Emission Method: 1990-2012#17Land cover data Drawn from NFMS of MoEF with 23 land cover classes: 6 classes for natural forests - Primary & Secondary Dryland forests Peat swamp forests Mangrove forests Dataset of 1990, 1996, 2000, 2003, 2006, 2009, 2011 and 2012 Peatland map Using peatland map of the 2011 edition at the scale of 1:250.000 (Ministry of Agriculture)#18Emission factors on deforestation/forest degradation There are 186 inventory plot data in 8 districts → Three land cover types: Dryland forest (Pri&Sec) Peat swamp forest (Pri&Sec) Mangrove forest (Pri&Sec) (Data from Provincial Environment Agency; GIZ; FFI) Emission factors on peatland Using figures presented in the "2013 Supplement to the 2006 IPCC Guidelines for National GHG Inventory: Wetlands"#19N.0.0.1 5.0.0.1 5.0.0.2 S.AD.E 109°0'0"E 110 00°E 11100 E 112°0'0"E 113°0'0" E 11400 E KAB SAMBAS KAB BENGKAYANG KABLANDAK KAB KUBURAYA 109'0''E KAB SANGGAU KAB KETAPANG 11000E 111'00°E KAB MELAWI Source: Provincial Government of West Kalimantan (2016) T PETA SEBARAN PLOT CONTOH FREL PROVINSI KALIMANTAN BARAT NORTH SKALA 1:3,500,000 KAB KAPUAS HULU 0 12.525 50 TS 100 120 150 175 Kilometer KAB SINTANG Batas Negara Batas Provinsi Batas Kabupaten Institusi BLHD FFI-IP GIZ FORCLIME Berhutan (1990) SUMBER PETA 1. Peta Rupa Bumi Indonesia Prov Kalimantan Barat 2. Pea Adminstrasi Pemerintahan Prov Kalimantan Bar 3. Pe Kawa Hutan Kepmentut 733/2014 (KLHK) 4. Peta Pentupan Lahan Prov Kalbar Tahun 2015 (KLHK) D. Peta Sebaran Lahan Gambut Prov Kabar (BBSOLF) BP PIPIB 7 Pro Kabar T woor 112 00'E 113 00 E 114 00 E ΠΡΟΣ PETA SITUASI PROW HALIMANTAN BARAT SCALA 1:#20Calculation flow Database 186 sample plots data for Dryland forest, Peat swamp forest and Mangrove forest Land cover data Provided by DG Planning of MoEF Forest Reference Emission Level#214. Results Rate of Deforestation (1990-2012) 120.000 100.000 80.000 92.188 68,840 Ha/yr 91.310 74.519 60.000 40.000 33.898 34.304 20.000 62.833 99.701 1990-1996 1996-2000 2000-2003 2003-2006 2006-2009 2009-2011 2011-2012 PEAT MINERAL Source: Provincial Government of West Kalimantan (2016) TOTAL Mean/year#22NOWLE N.00-1 5.00.1 2005 5.11.0.x 100100E 110 0 11100 E 112 E 11300E 114005 KAB SAMBAS KAR BENGKAYANG 109 KABLANDAK KAB KUBURAYA KAR SANGGAL KAB KETAPANG 11000T 111 KAB MELAWT PETA DEFORESTASI PROVINSI KALIMANTAN BARAT NORTH SKALA 1:3,500,000 KAB KAPUAS HILU 12:3 TS 100 171 Kir Keterangan Batas Negara Deforestasi 1990-1996 Batas Provinsi 1996-2000 KAB SINTANG Batas Kabupaten 2000-2003 Berhutan (1990) 2003-2006 2006-2009 2009-2011 2011-2012 117 00 113-00 Source: Provincial Government of West Kalimantan (2016) 11400 SUMBER PETA 1. Pup Pro 2. Padma Pemahan Prew Kalimantan Barat 1 Kawatan Kep 4an Lahan Kabar Tahun 2015 (ROM) Pet Set Latan Gambut Prov Kalbar 885DLFI PP Prov Kabar PETA SITUASI PROVAMAT ALA M#23(Area in Ha) Rate of Forest Degradation (1990-2012) 40.000 35.000 30.000 25.000 20.000 15.000 10.000 5.000 10,837 Ha/yr MINERAL PEAT Mean/year 90-96 35.833 947 10.837 96-00 00-03 03-06 215 1.125 72 4 1.239 31 06-09 1.183 09-11 25 11-12 5.782 10.837 10.837 10.837 10.837 10.837 10.837 Source: Provincial Government of West Kalimantan (2016)#24Annual emissions from deforestation and forest degradation (1990-2012) 80 70 70 Emisi Tahunan (MT CO2e) 60 50 46 40 30 20 20 10 10 1990-1996 1996-2000 2000-2003 2003-2006 2006-2009 2009-2011 2011-2012 DEFORESTASI DEGRADASI HUTAN DEKOMPOSISI GAMBUT Source: Provincial Government of West Kalimantan (2016)#25FREL Projection (2013-2020) Year Deforestation (tCO2e/th) 2013 2014 Forest Peat Degradation Decomposition (tCO2e/th) (tCO2e/th) 28.604.689,79 1.810.322,76 17.326.735,00 28.604.689,79 1.810.322,76 Total Emissions per Year (tCO2e/th) 47.741.747,55 18.583.064,17 48.998.076,72 2015 28.604.689,79 1.810.322,76 19.930.487,42 50.345.499,97 2016 28.604.689,79 1.810.322,76 21.375.609,80 51.790.622,35 2017 28.604.689,79 1.810.322,76 22.925.515,31 53.340.527,86 2018 28.604.689,79 1.810.322,76 24.587.801,58 55.002.814,13 2019 28.604.689,79 1.810.322,76 26.370.617,11 56.785.629,66 2020 28.604.689,79 1.810.322,76 28.282.701,26 58.697.713,81 Source: Provincial Government of West Kalimantan (2016)#26100.000 90.000 80.000 70.000 60.000 DALAM RIBUAN 50.000 40.000 30.000 20.000 10.000 0 FREL Projection 2013-2030 2012-2013 2013-2014 2014-2015 2015-2016 2016-2017 2017-2018 2018-2019 I DEFORESTASI Source: Provincial Government of West Kalimantan (2016) 2019-2020 2020-2021 2021-2022 2022-2023 2023-2024 2024-2025 2025-2026 2026-2027 2027-2028 DEGRADASI DEKOMPOSISI GAMBUT 2028-2029 2029-2030#275. Lessons learned Collaborative effort is essential with mutual trust and understanding. ◆ The process is also capacity development for sub- national actors.#286. Next step ◆ Conduct monitoring against FREL 1990-2012 Analyze causes of deforestation and forest and peatland degradation based on the monitoring result Reflect the above analysis into policy processes#29Thank you for your attention!