Slide 1: High Carbon Stock Forest Conservation
High Carbon Stock Forest Conservation ICOPE 12 February 2014, Bali , Indonesia Peter Heng, Managing Director, Communications & Sustainability, GAR Williem Cahyadi, Sustainability Specialist, PT SMART Tbk Grant Rosoman, Forest Solutions Team Leader, Greenpeace Rob McWilliam, Senior Manager, The Fores
Slide 2: Disclaimer
Disclaimer This presentation has been prepared by Golden Agri-Resources Ltd (“GAR” or “Company”) for informational purposes. This presentation contains statements, representation which may or may not be derived from third party reports, quotes from sources other than from within the Company, project
Slide 3: Agenda
Agenda 1. GAR’s Forest Conservation Policy 2. HCS Methodology a) Phase 1 – Vegetation stratification b) Phase 2 - HCS Forest Patch Analysis and Conservation 3. Q&A 2
Slide 4: GAR Forest Conservation Policy (FCP)
GAR Forest Conservation Policy (FCP) • Builds on GAR’s pre-existing commitments • FCP focuses on No development Comply all relevant on peat and No development Free prior laws and high conservation on high carbon informed international value forest areas stock forests consent certification P&C • Ulti
Slide 5: Benefits of HCS initiative
Benefits of HCS initiative • Supports the President of Indonesia’s emission reduction targets. • Establishes common understanding and definition of degraded land for palm oil development. • Enhances market value of palm oil as “deforestation free”. • Uses a collaborative platform for multi-stakehold
Slide 6: HCS Forest Study Report
HCS Forest Study Report • The HCS Forest Study Report was published by GAR/SMART in collaboration with TFT and Greenpeace following the completion of the HCS forest fieldwork conducted under GAR’s FCP. • The Report was presented by GAR/SMART, TFT and Greenpeace (the Team) at the REDD+ Task Force Sem
Slide 7: Summary of HCS Forest Study findings
Summary of HCS Forest Study findings The findings indicate that vegetation cover can be used to • Estimate the level of carbon stocks • Stratify into different classes to broadly represent different carbon stocks They also indicate that • A practical and robust method to identify HCS in GAR’s conces
Slide 8: Summary of HCS Forest Study findings
Summary of HCS Forest Study findings Six strata can be identified Remnant forest or advanced secondary forest close to HK3 primary condition Remnant forest but more disturbed than High Density HK2 Forest Appears to be remnant forest but highly disturbed and HK1 recovering (may contain plantation/mix
Slide 9: HCS Methodology
HCS Methodology Gaga. «smart, = tft’ = GREENPEACE =
Slide 10: Two phases
Two phases Phase 1 Phase 2 Vegetation stratification HCS forest patch to identify HCS forest analysis and areas conservation 9
Slide 11: Phase 1 – vegetation stratification
Phase 1 – vegetation stratification 10
Slide 12: Vegetation stratification
Vegetation stratification Stratify satellite Output Socialise Locate Measure Estimate image into Potential HCS with sample and collect carbon of vegetation areas communities plots data each strata strata identification Phase 1 Vegetation stratification to identify HCS forest areas 11
Slide 13: Vegetation stratification
Vegetation stratification A supervised GIS process of satellite images using visual attributes to assess vegetation density and provisionally stratify into 6 classes 12
Slide 14: Vegetation stratification
Vegetation stratification HK3 HK2 HK1 BT BM LT 13
Slide 15: “Socialisation” with communities
“Socialisation” with communities • Palm oil development activities usually occur on areas occupied by local communities. • Must engage these communities before any activities can take place, including field work for HCV assessments, as well as through FPIC process, and compenstation. • Additionally,
Slide 16: Ground truth with biomass field plots
Ground truth with biomass field plots 15
Slide 17: Results: weighted average carbon stock
Results: weighted average carbon stock 16
Slide 18: HCS stratification
HCS stratification POTENTIAL HCS AREAS MAY BE DEVELOPED High-Density Medium Density Low Density Old Scrub (BT) Young Scrub (BM) Cleared/Open Land (LT) Forest (HK3) Forest (HK2) Forest (HK1) Remnant forest Remnant forest Appears to be Mostly young re- Recently cleared areas, some Very recently cleare
Slide 19: HK3: High Density Forest
HK3: High Density Forest 18
Slide 20: HK2: Medium Density Forest
HK2: Medium Density Forest 19
Slide 21: HK1: Low Density Forest
HK1: Low Density Forest smart... tft? «= GREENPEACE *
Slide 22: BT: Old Scrub
BT: Old Scrub gar. smart. th «= GREENPEACE »
Slide 23: BM: Young Scrub
BM: Young Scrub (fF Va ei A.DecwiPsciacroe gr. smart. tft’ GREENPEACE »
Slide 24: LT: Cleared/Open Land
LT: Cleared/Open Land Eagar, «smart, = tft” = GREENPEACE »
Slide 25: PT KPC potential HCS forest stratification
PT KPC potential HCS forest stratification 24
Slide 26: Phase 2 – HCS forest patch analysis and conservation
Phase 2 – HCS forest patch analysis and conservation 25
Slide 27: Phase 2 - HCS patch analysis and conservation process
Phase 2 - HCS patch analysis and conservation process • Objective is identify viable forest patches that can maintain or revert to their ecological function as a forest. • Incorporates general conservation principles and science on patch size, shape, core area, configuration, and connectivity. • Pro
Slide 28: Forest patch, edge effects and ‘core’
Forest patch, edge effects and ‘core’ 42 Source: Government of Malaysia, Ministry of Natural Resources and Environment 2009. Managing biodiversity in the Landscape. Guidelines for planners, decision makers and practitioners. 27
Slide 29: Connectivity, stepping stones and corridors
Connectivity, stepping stones and corridors Stepping Fragments stones with no connectivity A cluster of stepping A corridor also provides Stones is optimal for movement of interior species Source: Government of Malaysia, Ministry of Natural Resources and Environment 2009. Managing biodiversity in th
Slide 30: HCS patch analysis and conservation process
HCS patch analysis and conservation process HCV overlay Patch core Patch Patch risk Review and and prioitisation assessment presence of integration connectivity HK1, HK2, HK3 analysis Final mapping Rapid Conservation and Ground check biodiversity of conservation patches assessment HCS forest plannin
Slide 31: Decision tree for HCS forest patch analysis
Decision tree for HCS forest patch analysis 30
Slide 32: PT KPC potential HCS forest stratification
PT KPC potential HCS forest stratification 31
Slide 33: HCS and non-HCS
HCS and non-HCS Legend : sussi | RRB) 3 = High Density Forest Be HAZ :Mecum Densty Forest = \, [_] HK1 = Low Density Forest ; [st ow Scub / ___] 8M = Young Scrub er] ~*~ ner =| []u -crewewopen tana a es — = = | [| PantegiDevelaped Area \ \ ~ “ Wy Canim Note: = Lana cover assessment by SPOT image KiJ
Slide 34: HCS overlaid with HCV
HCS overlaid with HCV ‘4 a & es <! al - ma _-_ sa ie — > y _ | J Legend : Lea Hy rcv | Mi Hcs [7] Non Hes [_] Planted/Developed Area Gaga, «smart, = t= GREENPEACE =
Slide 35: Connectivity and core areas
Connectivity and core areas WB 1 cs (Connected Hev) [J Non Hes [-_] Planted Developed Area [i cs no Core and No Connectivity [1D] bow Prionty Patenes [MI] Connectivity Buffer 100 Meters 1G Core Area with Connectivity Eager, smart, tf’ = GREENPEACE
Slide 36: Ground check
Ground check BAO th GREENPEACE »
Slide 37: Proposed conservation area in PT KPC
Proposed conservation area in PT KPC 36
Slide 38: d y OM : ; smart, REENPEACE
d y OM : ; smart, REENPEACE ” ae
Slide 39: Thank you
Thank you GREENPEACE + tft 3 & 3 € oO o 8 i= g B xf =) oO 1 smart agribusiness and food & gar