Development of Reference Level for REDD+ Result Based Implementation in Vietnam. Vu Tan Phuong Vietnam Academy of Forest Sciences

Similar documents
FREL for REDD+ Nguyen Dinh Hung, FIPI, Viet Nam GFOI Plenary 2017, Ho Chi Minh City, 12 April 2017

National Forest Monitoring System Development in Cambodia

Report of the technical assessment of the proposed forest reference emission level of Viet Nam submitted in 2016

Module 3.3 Guidance on reporting REDD+ performance using IPCC guidelines and guidance

Report of the technical assessment of the proposed forest reference level of Nepal submitted in 2017

IN NORTH CENTRAL COAST, VIETNAM Overview

Land Use/Land Cover Change Research and Management in Vietnam

2. Inventory estimates for the Kyoto Protocol (WP 1.2)

Development of Sub National FREL in West Kalimantan

Introduction to the Methodology for Carbon Accounting of Bamboo. Plantation Projects

NATIONAL FOREST MONITORING SYSTEMS FOR REDD+ UNDER THE UNFCCC International Guidance & National Implementation

Afforestation, Reforestation and Deforestation

FREL and REDD+ in Indonesia

Standard Methods for Estimating Greenhouse Gas Emissions from Forests and Peatlands in Indonesia

Current Status of NFMIS in Myanmar & How MOLI data can Contribute to the ongoing Efforts. Myat Su Mon, Forest Department, Myanmar

I. Data for establishment of reference level of sinks in managed forests

Tools Development and Outcomes. Dave Skole Michigan State University

Standard Methods for Estimating Greenhouse Gas Emissions from Forests and Peatlands in Indonesia

Readiness for REDD implementation in Vietnam. Page 1

Ecuador s Forest Reference Emission Level for Deforestation

DRC Forest Reference Emission Level Methodological Framework

Collect Earth an innovative tool

Ethiopia s R-Package: REDD+ Readiness Progress and Multi-Stakeholder Self-Assessment

THE WORK OF FAO TO ENHANCE NATIONAL CAPACITIES TO REPORT ON CLIMATE CHANGE AGRICULTURE, FORESTRY AND OTHER LAND USE

2014REDD302_41_JCM_PM_ver01

ER Monitoring Report (ER-MR)

Greenhouse Gas (GHG) Status on Land Use Change and Forestry Sector in Myanmar

Potential for Climate Change Mitigation in Degraded Forests: A Study from La Primavera, Mexico

FINAL REPORT IPCC COMPLIANT GHG REPORTING METHODOLOGY FOR FOREST LANDS IN ZAMBIA

TURKISH NATIONAL MRV SYSTEM DESIGN VERSION

Community Carbon Accounting Action Research Project Vietnam

Methodology for assessing carbon stock for REDD+ project in India

Status of forest biomass and carbon stock assessment in South and Central America

Presentation of Suriname. 10 may 2011 Quito. R. Matai, M, Playfair, C. Sanches

FOREST REFERENCE LEVEL SUBMISSIONS UNDER REDD+: AN ANALYSIS OF SUBMISSION TRENDS, LEADING PRACTICES, AND AREAS FOR IMPROVEMENT November 2015

UNFCCC ACCOUNTING FOR FORESTS. What s in and what s out of NDCs and REDD+

VCS MODULE VMD0022 ESTIMATION OF CARBON STOCKS IN LIVING PLANT BIOMASS

ASIA-PACIFIC FORESTRY COMMISSION TWENTY-SEVENTH SESSION. Colombo, Sri Lanka, October 2017

FCCC/KP/CMP/2012/13/Add.1. Decision 2/CMP.8

Existing products and tools for country support

Topic A2. Wetlands in the IPCC processes

Blue Carbon: Important Missing Sinks and Sources

LULUCF GHG Inventories: Indonesia

National Forest Monitoring and REDD+ at FAO

ASSESSMENT REPORT METHODOLOGY FOR IMPROVED FOREST MANAGEMENT THROUGH CONVERSION OF LOGGED TO PROTECTED FORESTS REPORT NO REVISION NO.

FOREST COVER MAPPING AND GROWING STOCK ESTIMATION OF INDIA S FORESTS

Forest Carbon Accounting for REDD+ Readiness at District and FMU Level Experiences from Kalimantan

G R E E N H O U S E G A S M I T I G A T I O N A G R I C U L T U R E A N D F O R E S T R Y S E C T O R S

K&C Phase 3 Brief project essentials. Climate-Relevant Modernization of the National Forest Policy and Piloting of REDD+ Measures in the Philippines

Updating Forest Cover and Assessing Aboveground Biomass in Various Tropical Forest Ecosystems from PALSAR-2 Polarizations

Map accuracy assessment methodology and results for establishing Uganda s FRL

Remote sensing in the REDD+ context lessons learned and way forward

Yosio Edemir Shimabukuro a, b René Beuchle b Rosana Cristina Grecchi b Dario Simonetti b Frédéric Achard b

NAMA potential of Vietnam

MONITORING LAND USE AND LAND USE CHANGES IN FRENCH GUIANA BY OPTICAL REMOTE SENSING

CANADA INFORMAL SUBMISSION TO THE AWG-KP: DATA ON FOREST MANAGEMENT November 30, 2009

REDD Methodological Module. Estimation of emissions from market effects LK-ME

REDD+ Cook Book : How to systematically deal with estimation on GHG emissions and removals in forest land sector

RB Trees for Change Programme

Monitoring Deforestation and Forest Degradation on National and Local Level in Indonesia

Climate change mitigation activities in coastal ecosystems

Norway. 27 November Submission to the Ad-Hoc Working Group on Further Commitments for Annex I Parties under the Kyoto Protocol (AWG-KP)

DECISION ADOPTED BY THE CONFERENCE OF THE PARTIES TO THE CONVENTION ON BIOLOGICAL DIVERSITY AT ITS ELEVENTH MEETING

Afforestation Reforestation

CROATIA S SUBMISSION OF INFORMATION ON FOREST MANAGEMENT REFERENCE LEVELS

LIVING PLANT BIOMASS

Understanding Land Use in the UNFCCC

The Land Use, Land Use Change and Forestry (LULUCF) sector in the EU

Outline. Poplar culture for speedy Carbon Sequestration in India: A case study from terai region of Uttarakhand. Forest sector and the CDM

OneMap Myanmar Project and Updates

Forest Change and Its Effect on Biomass in Yok Don National Park in Central Highlands of Vietnam Using Ground Data and Geospatial Techniques

REPORTING emissions and removals from FORESTS:

BioCarbon Fund - Initiative for Sustainable Forest Landscapes

3 (1) Acacia spp. Eucalyptus spp. Tectona grandis. Pinus spp. Pinus caribaea. Mixed Hardwoods. Mixed Fast-Growing Hardwoods.

Ministry of Agriculture and Rural Development. Version 1.XXX

Overview of relevant methodologies in IPCC Guidelines and Good Practice Guidance

Towards the Improvement of National Forest Monitoring Approaches

Review of the LULUCF Sector of Switzerland s Greenhouse Gas Inventory

From reference levels to results reporting: REDD+ under the UNFCCC

Introduction to the use of carbon accounting models and how they could be used to determine a Reference Emissions Level

FOREST BIOMASS & CARBON STOCKS MAPPING USING SATELLITE IMAGERIES & ISSUES RELATING TO REDD+ IN MALAYSIA

The influence of altitude and management on carbon stock quantities in rungwe forest, southern highland of Tanzania

Estimated REDD Credit Supply into International Carbon Markets by 2035

Overview. 1. The UNFCCC and the Kyoto protocol 2. Roles of agriculture and forestry in climate change

Presented by: Deuteronomy Kasaro NATIONAL REDD+ COORDINATOR

Recent Progress of Air Pollution Modelling for co-benefit estimation

2013 Revised Supplementary Methods and Good Practice Guidance Arising from the Kyoto Protocol G.1

1.0 ELIGIBILITY CRITERIA Project Activities Legal Status Additionality Timescale... 3

K&C Phase 3 Brief project essentials. Application of PALSAR for regional assessments of forest disturbance, rice agriculture and wetland habitats.

Forest Carbon Partnership Facility

Using global datasets for biomass and forest area estimation: Miombo forests in Tanzania

ISFL Methodological Approach for GHG accounting

GHG Inventory in LULUCF sector

European forest sector carbon

4.2.5 Afforestation and Reforestation

Roadmap Phase 1 Achievements, Evolving Requirements and Roadmap for Phase 2 Activities. Prepared by

CHANGES IN LAND COVER IN FRENCH GUYANA BETWEEN 1990 AND 2012

Prof Brendan Mackey, PhD

Forest Biomass Change Detection Using Lidar in the Pacific Northwest. Sabrina B. Turner Master of GIS Capstone Proposal May 10, 2016

Tropical Forests and Climate Change

Transcription:

Development of Reference Level for REDD+ Result Based Implementation in Vietnam Vu Tan Phuong Vietnam Academy of Forest Sciences

Why Reference Level (RL)? is a benchmark to quantify mitigation actions performed ; Vietnam is eligible for REDD+ required by UNFCCC Decision 12/CP.17 as the basic for result based payment for REDD+ performance Vietnam Academy of Forest Sciences (VAFS) www.vafs.gov.vn

Requirements for Reference Level Definition & stratification 1. Comprehensive & transparent: REDD+ activities Carbon pools & gases Historical data Methods & models used Data accuracy Emission Factors (EF) Reference Level Construction Activity Data (AD) Reference periods & scope 2. Consistent with national GHG inventory estimates Data Methods Vietnam Academy of Forest Sciences (VAFS) www.vafs.gov.vn

Definitions & Stratification Northwest Northeast Forests: is an area meeting all 3 following criteria: minimum tree height of 5 m; minimum tree cover of 10%; minimum plot area of 0.5ha; 17 land use categories, of that 12 are forests; 5 are non-forest 8 agro-ecolological zones Central Highland Southeast Red River Delta North Central Coast Mekong River Delta South Central Coast Vietnam Academy of Forest Sciences (VAFS) www.vafs.gov.vn

Carbon Pools & Gases Carbon pools: Above Ground Biomass - ABG Below Ground Biomass - BGB Gases: Only CO 2 None-CO 2 not included Why not other pools & gases: AGB & BGB are significant & changeable by human activities No data available for other pools BGB AGB Vietnam Academy of Forest Sciences (VAFS) www.vafs.gov.vn

Reference Period & Scope 1995-2010 National level All 5 REDD+ activities are included, but reported separately into 2 reference levels: Forest reference emission level (FREL): including deforestation & degradation Forest reference level (FRL): including reforestation & restoration (ie SMF, Enhancement of forest carbon stock) Vietnam Academy of Forest Sciences (VAFS) www.vafs.gov.vn

Methodology for RL Construction Activity Data 2010 2005 1995 2000 Emission Factor 17 categories of LU/LC (12 forest stratum ) Landsat TM+, SPOT 4&5 Historical Approach Stock Difference Method National AEs Sample plots data 5 years Interval 8km Systematic 7

Generating Activity Data 2006-2010 2001-2005 1996-2000 Ecognition for interpretation; SPOT5 images; 2.100 sample plots Manual interpretation; Landsat ETM+; 4.200 sample plots Manual interpretation; Landsat ETM+& SPOT 4; 3.800 sample plots Update & correction 2015: UN-REDD 2014: MARD 2012: JICA 2010: NORDECO 1991-1995 Manual interpretation; Landsat MSS & TM+; 3.000 sample plots NFIMAP: National Forest Inventory, Monitoring and Assessment Programme Complete dataset Forest cover maps Land use change matrix Available 1990-2010

Forest cover maps Land use change matrices Year 1995 Year 2000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total 1 713 104 17 11 0 2 2 0 0 0 0 0 0 6 0 0 1 856 2 83 1,619 143 86 0 5 10 0 0 0 0 1 0 49 0 0 7 2,004 3 3 131 1,421 174 0 8 19 0 0 0 0 7 0 133 0 0 21 1,918 4 2 17 168 1,814 0 16 19 0 0 0 0 31 0 272 1 0 58 2,399 5 0 0 0 0 709 0 0 0 0 0 0 0 0 24 3 0 15 751 6 1 2 2 13 0 391 41 0 0 0 0 2 0 37 1 0 36 526 7 1 4 11 29 0 19 619 0 0 0 0 2 0 21 0 0 28 734 8 0 0 0 0 0 0 0 168 1 0 0 0 0 1 0 0 1 172 9 0 0 0 2 0 0 0 6 53 0 0 1 0 1 0 0 1 64 10 0 0 0 0 0 0 0 0 0 164 0 2 0 0 0 0 33 199 11 0 0 0 0 0 0 0 0 0 0 736 0 2 1 0 0 0 740 12 0 0 0 2 0 0 0 0 0 0 0 877 0 28 0 1 85 994 13 0 0 0 0 0 0 0 0 0 0 11 0 219 0 0 0 1 232 14 1 10 19 520 8 91 29 2 1 1 1 534 2 6,084 11 17 416 7,748 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 813 1 8 824 16 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1,491 3 1,498 17 0 2 3 48 3 15 9 0 0 13 0 125 0 378 16 58 10,685 11,356 Total 804 1,889 1,785 2,699 721 546 750 177 56 178 749 1,582 224 7,039 846 1,569 11,400 33,015 Year 2005 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total 626 112 23 12 1 2 0 0 0 0 0 0 10 0 0 17 804 1 0 2 54 1,526 155 88 0 4 17 0 0 0 0 1 0 36 0 0 7 1,889 3 6 111 1,267 209 0 6 35 0 0 0 0 13 0 112 0 0 25 1,785 4 4 16 136 1,995 0 9 28 0 0 0 0 59 0 377 0 1 73 2,699 5 0 0 0 0 657 0 0 0 0 0 0 4 0 28 1 0 30 722 6 0 1 2 23 0 373 39 0 0 0 0 12 0 52 0 0 44 547 7 0 4 12 41 0 29 584 0 0 0 0 6 0 37 0 0 37 751 1995 2000 2005 2010 Year 2000 8 0 0 0 0 0 0 0 160 0 0 0 3 0 11 0 0 1 177 9 0 0 0 1 0 0 0 1 53 0 0 0 0 1 0 0 0 56 10 0 0 0 0 0 0 0 0 0 116 0 20 0 1 0 0 41 178 11 0 0 0 0 0 0 0 0 0 0 741 1 2 2 0 0 2 749 12 0 0 0 12 0 1 2 0 0 0 0 1,268 0 88 1 5 203 1,582 13 0 0 0 0 0 0 0 0 0 0 16 1 203 2 0 0 2 224 14 2 10 20 839 4 54 31 2 0 0 1 620 1 4,942 2 20 492 7,039 15 0 0 0 0 0 0 0 0 0 1 0 0 0 1 836 2 6 846 Data on forests and land uses 16 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1,559 8 1,569 17 0 2 4 59 2 13 12 0 0 17 0 333 0 343 12 82 10,519 11,399 Total 693 1,783 1,621 3,282 665 490 752 164 54 134 759 2,343 207 6,042 851 1,669 11,507 33,015 No Forest and land use category 1995 2000 2005 2010 Natural area 33,014,931 33,014,983 33.016.827 33.016.827 I Forest land 11,357,483 11,937,502 12.741.124 13.661.080 1 EGBL - rich 855,650 803,894 692.802 680.968 2 EGBL - medium 2,004,486 1,888,565 1.783.193 1.674.100 3 EGBL - poor 1,918,127 1,785,122 1.621.104 1.581.286 4 EGBL - regrowth 2,398,799 2,699,070 3.282.841 3.653.656 5 Deciduous 751,451 721,690 664.818 645.592 6 Bamboo 526,429 546,702 490.421 440.682 7 Mixed woody - bamboo 733,989 750,661 751.415 748.141 8 Coniferous 171,646 176,502 164.188 162.427 9 Mixed broadleaf - coniferous 63,846 55,981 54.011 52.723 10 Mangroves 198,822 178,223 133.989 141.941 11 Limestone forest 739,917 749,096 758.861 757.312 12 Plantations 994,320 1,581,996 2.343.481 3.122.254 II Bared land 7,979,314 7,263,586 6.248.637 4.892.711 13 Limestone without forest 231,658 224,148 206.902 204.599 14 Other bared land 7,747,657 7,039,438 6.041.735 4.688.112 III Agriculture and others 13,678,133 13,813,895 14.027.066 14.463.036 15 Water bodies 823,781 846,082 851.020 869.873 16 Residence 1,498,236 1,568,851 1.668.871 1.797.651 17 Other land 11,356,116 11,398,962 11.507.175 11.795.512 Year 2005 Year 2010 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total 1 601 48 18 15 0 1 4 0 0 0 0 1 0 4 0 0 0 693 2 70 1,464 117 70 0 3 19 0 0 0 0 3 0 31 0 0 5 1,783 3 4 125 1,192 155 0 9 25 0 0 0 0 18 0 69 0 0 22 1,621 4 4 26 194 2,458 1 12 34 0 1 0 0 62 0 394 0 1 94 3,283 5 0 0 0 0 640 0 0 0 0 0 0 0 0 16 1 0 6 665 6 0 1 2 24 0 318 48 0 0 0 0 12 0 40 0 0 44 490 7 0 2 16 45 0 19 564 0 0 0 0 15 0 39 0 0 50 751 8 0 0 0 0 0 0 0 153 2 0 0 1 0 1 0 0 5 164 9 0 0 0 1 0 0 0 3 48 0 0 1 0 1 0 0 1 54 10 0 0 0 0 0 0 0 0 0 104 0 12 0 0 0 0 18 134 11 0 0 0 0 0 0 0 0 0 0 755 0 1 1 0 0 1 759 12 0 0 1 4 0 3 1 0 0 2 0 2,076 0 57 1 6 193 2,343 13 0 0 0 0 0 0 0 0 0 0 1 0 202 1 0 0 2 207 14 1 6 34 814 3 60 42 3 1 1 0 724 1 3,808 6 29 512 6,042 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 843 1 6 851 16 0 0 0 1 0 0 0 0 0 0 0 1 0 1 1 1,649 15 1,669 17 0 1 5 66 2 15 11 2 1 35 0 195 0 224 17 111 10,821 11,507 Total 681 1,674 1,581 3,654 646 441 748 162 53 142 757 3,122 205 4,688 870 1,798 11,796 33,017 Deforestation Forest degradation Reforestation Restoration

Calculating Emission Factors NFI Cycles Plot Data (1995-2010) Species WD DBH H of 3 trees/plot Country-specific Allometric Equations Biomass/carbon Height curve H of all trees Calculation of missing tree heights AGB: Country-specific data & AEs: 1. Evergreen broadleave forest: AGB = 0. 757 (DBH 2 H mt WD/10) 0.930 2. Decidous forests AGB = 310. 3 DBH 2 H mt /10000 3. Bamboo forests: AGB = 0. 0612 DBH 2.0848 H 0.2778 AGB = 0. 1012 DBH 1.9667 H 0.2778 AGB = 0. 3558 DBH 1.2154 H 0.2778 AGB = 0. 2829 DBH 1.4306 H 0.2778 4. Mangrove forest: research data (VAFS) BGB: Default RS, IPCC 2006 Carbon Fraction: IPCC default (0.47)

Average Carbon Stock by Forest Types (ton C/ha) Forest types 1995 2000 2005 2010 1. Evergreen broadleaf rich 150 ± 4% 152 ± 3% 146 ± 5% 140 ± 3% 2. Evergreen broadleaf medium 73 ± 1% 73 ± 1% 75 ± 1% 75 ± 1% 3. Evergreen broadleaf poor 32 ± 3% 32 ± 2% 32 ± 3% 32 ± 3% 4. Evergreen broadleaf regrowth 32 ± 6% 30 ± 5% 26 ± 5% 26 ± 6% 5. Deciduous 40 ± 14% 36 ± 5% 32 ± 5% 31 ± 8% 6. Bamboos 14 ± 10% 13 ± 9% 13 ± 7% 15 ± 11% 7. Mixed timber bamboos 50 ± 9% 47 ± 8% 43 ± 8% 42 ± 7% 8. Coniferous 87 ± 18% 72 ± 13% 83 ± 13% 95 ± 11% 9. Mixed broadleaf - coniferous 85 ± 24% 78 ± 16% 84 ± 25% 67 ± 45% 10. Mangrove 58 (*) 58 (*) 58 (*) 58 (*) 11. Limestone forest 36 ± 25% 26 ± 100% 23 ± 27% 19 ± 83% 12. Plantation 20 ± 22% 19 ± 20% 17 ± 11% 16 ± 13%

Estimated Emissions & Removals In 1995-2010: Total emissions: 899 MtCO 2 Total removal: -715 MtCO 2 Net emissions: 184 MtCO 2 National Average: Emissions/year: 59.9 MtCO 2 Removals: -47.7 MtCO 2 Net emissions: 12.2 MtCO 2

Adjustment of Reference Level National context: GoV invested in a national reforestation program (661 program), 1998-2010 Increased forest cover from 29% to 39%; Therefore removals generated by 661 program should be rewarded and excluded from RL (-122 MtCO2) 661 program Final Reference Level 1995-2010: Average Emissions: 59,960,827 tco2/year Average Removal with Adj. -39,602,735 tco2/year Average Removal without Adj.: -47, 786,072 tco2/year

Technical Assessment by UNFCCC Constructive approach Final report of TA, May 2017 TA review & exchange with national team RL submitted Jan. 2016 Modified RL submitted in Oct. 2016 TA review & Exchange process Mar. - June2016 Exchange & discuss technical issues By written and video call between National Team and UNFCCC Team More than 40 questions made to National Team Require transparency of data used for RL construction

Future Improvement 1. Improve consistency between RL and national GHG Inventory for LULUCF: Activity Data (Spatial explicit vs statistics) Emission Factors (national vs default) Forest Classification & ecological stratification Methods for emission accounting (SDM vs GLM) 2. Improve Reference Level: Biomass & carbon stock estimation for plantation Estimation of removal generated from forest restoration & reforestation (it is overestimated now) Consideration of inclusion of other carbon pools (soil, deadwood, litter etc) Assess uncertainty of emissions and removal estimation

Thank you for your attention Vu Tan Phuong Vietnam Academy of Forest Sciences phuong.vt@vafs.gov.vn