REDD+ for the Guiana Shield Regional Workshop

Transcription

1 ONF International SAS, 45bis avenue de la Belle Gabrielle, Nogent-sur-Marne Cedex, SIRET : Proposition commerciale REDD+ for the Guiana Shield Regional Workshop November 16 and 17, 2015 Kourou, French Guyana Florence Karine Laloë Forestry and Landscape Director - ONFI 1

2 Session 2: Guiana Shield Skills and Challenges in Developping or Using Allometric Equations 9:30 10:00 Suriname Presentation 10:00-10:30 Guyana Presentation 10:30 10:45 Coffee Break 10:45-11:15 Guyane Française Presentation 11:15-11:45 Amapa Presentation 11:45-12:30 Roundtable discussion to compare situations What are the main gaps that need to be filled and challenges in each country and in the region? 15 min Discussion per country 10 min Delivery in plenary per country 20 min Identified common aspects Discussion: Common needs and challenges? 2

3 14:00 14:30 Example of regional collaborative project on allometric equation in Central Africa 14:30-15:00 Examples of existing scientific cooperation in the region and at a global scale 15:00 15:30 National key organisations 15:30-17:30 Roundtable: How can we improve carbon estimation in the region? Is there a need for more regional cooperation on this topic? 20 min A few thoughts towards a regional strategy 20 min Discussion per country (priorities and relevance) 10 min Delivery in plenary per country 30 min Identified common aspects Discussion: Common activities and priorities? Opportunities? 40 min Common propositions and vision: action plan (means, funding, partners ) 3

4 How to strenghten the interaction between the Guiana Shield region and programs abroad? Which priorities and what is needed? New AE for disturbed forests? New field data collection? Regional database? International, national or regional training courses on carbon estimation? Which donors? Which cooperation with ongoing initiatives? Need to establish a network to continue collaboration? 4

5 A few thoughts Objectives: Sharing information; ensuring open access data; reduction of uncertainties linked to forest carbon stock measurements; elimination of duplication of works; capacity-building; promoting research Context: Importance of the Guyana Region in the context of climate change mitigation: over 90% of intact forest and lowest human population density 72% of total forest = 3 high forest types Importance of the AE for quantifying forest resources and ecosystems services (bioenergy, commercial timber, mitigation and adaptation to climate change) Adequate use of Aes is crucial to obtain comparable estimates of emission reductions (National Inventories; MRV) 5

6 A few thoughts Gaps and limitations: Inappropriate use of AEs Errors in estimating biomass, carbon stocks and d ensemble emission factors récente de Lack species-specific, site-specific, ecosystem-specific AE for assessing volume, biomass and carbon stocks, sites Sources of uncertainty: Errors linked to input variables used in the elaboration of models Choice of AE used and quality of its prediction Surface of sampled area or the level of the representativeness of the sample Application of the biomass estimation equation in a specific forest with different characteristics in terms of biomass allometry - > 20% (Chave et al) / 20% - 40% (Melson et all) / > 25% (Van Breugel et al) 6

7 A few thoughts Limitations linked with Radar and Lidar technologies Cost and availability High level capacity building Lidar provides estimation of height measurements (error if parameter of diameter is not known), so not totally applied for biomass estimation Lenght of wave used in Radar has influence in biomass saturation levels. L Band used equates to a saturation level of 150t/ha. Tropical forests usually have higher levels of AGB AE + Lidar and Radar technologies are needed 7

8 Data collection, treating, interpretation and sharing Identified limitation Impacts Solutions Encourage the clarification of intellectual property rules and establishing incentives for Intellectual property Hinders collaboration and reduces data availability. data sharing. Data Un use premier policy niveau Work «général» qui doit permettre d obtenir une vue undertaken by owner(s) and author(s) is not properly recognized. Lack of culture exposure to collaborative environments Creates mistrust among parties involved. Not sharing data negatively affects professional performance. Reduces equation availability. Promote agreements that clarify what the data will be used for and what constitutes fair use. Journals should request a statement regarding data provenance. Implement guidelines and encourage actions to foster collaboration and clarify authorship issues. Promote publication of equations and data sharing through regional workshops that create international collaborations. 8

9 Data collection, treating, interpretation and sharing Data sharing structures Reduces equation availability, Incompatible data sets and utilization, and recognition of standards limit scaling out and local scientist efforts. up. Promote the use and Sustainability of efforts Data quality and completeness Limits data collection, analysis, quality assurance and control, valorization, and sharing. Decreases local, national, or regional contributions. Uncertainty of estimates remains unresolved. Precludes researchers from drawing broader inferences from larger, pooled datasets. Develop frameworks for data sharing that includes clear rules, standardized procedures, formats, platforms, and funding streams for data sharing. implementation of regional or global database networks with reliable availability structures and clear use agreements. Establish national and institutional policies to encourage data sharing and provide funding incentives for research and publication of local allometric equations. Standards and tools for quality control need to be provided to facilitate quality assurance and control procedures. 9

10 A few thoughts Skewed representation of specific forest type and species do not ensure comprehensive assessment of carbon stocks in the region Lack of technical expertise and use Lack of proper networking between users and developers Remote sensing + field measurements 10

11 Towards a common regional strategy? Online repository to store raw data and metadata of AEs (i.e; GlobAllomeTree) Strong collaboration (network) Standardizing of protocols (sampling design and model construction) Peer-to-peer learning, identify future research gaps (i.e. new models) and steps Regional forest stratification (to determine type and quantity of AEs) New AEs and data on disturbed forests Research project dedicated to compare radar based AGB estimates to inventory based estimates 11

12 Towards a common regional strategy Strong collaboration (network of institutions) / Bottom-up approach (regional approach first developed at an institutional level i.e. research institutions then move into political level) Peer-to-peer learning, exchange of experiences (i.e. national monitoring systems) and capacity building Regional forest stratification/harmonisation of classification (to determine type and quantity of AEs) Testing and validation of AEs applied to the region, including with standardizing of protocols (sampling design and model construction) Testing use of Lidar and Radar technologies (in addtion to AEs) Data sharing and exchange (including methodologies NFI, emissions factor) 12