REDD+ FOR THE GUIANA SHIELD Regional and Technical collaboration platform

Transcription

1 REDD+ FOR THE GUIANA SHIELD Regional and Technical collaboration platform SESSION 4 Tools for Regional Dialogue on REDD+ 5 th Steering Committee Meeting June 2015 Paramaribo, Suriname

2 Introduction to regional tools for dialogue REDD+ for the Guiana Shield provides opportunities for informed regional dialogue The project aims to encourage that dialogue by developing several tools

3 Regional Tools & Dialogue Regional Studies - Snapshot on regional REDD+ activities - MRV systems comparative table - Gold Mining Regional Collaborative Study - Analysing and modeling deforestation Dialogue & Communication Tools - Internet website - Experts forum - Bimestrial newsletter - Promotional video - Carbone compensation - Activity based data sharing policies Regional GIS Database Regional Future Deforestation Model Regional Dialogue Meetings Focus Group Meetings

4 Regional Tools & Dialogue Regional Studies - Snapshot on regional REDD+ activities - MRV systems comparative table - Gold Mining Regional Collaborative Study - Analysing and modeling deforestation DAY 1 Dialogue & Communication Tools - Internet website - Experts forum - Bimestrial newsletter - Promotional video - Carbone compensation - Activity based data sharing policies Regional GIS Database Regional Future Deforestation Model DAY 2 Regional Dialogue Meetings Focus Group Meetings 1st REGIONAL DIALOGUE MEETING June

5 Session overview Gold Mining Regional Participative Study Analysing and Modeling Future Deforestation Regional Database Regional Dialogue Focus Group Regional Tools and Dialogue budget situation

6 Monitoring the impact of gold mining on the forest cover and freshwater in the guiana shield

7 Presentation overview Study background Opportunities Introduction - Context Objectives of the study Organisation Activities and calendar Material and method Results Next steps and conclusion

8 Study background Initiated by WWF: need for an update of the last study realized by ONF in collaboration with CIRAD ( ) Integration of the study in the REDD+ Guiana Shield project: À la carte Country Level Support Technical Working Groups Evaluation and Monitoring of Forest Cover and Stocks Deforestation/degradatio n dynamics understanding Future deforestation and socio-economical modeling Regional Tools and dialogue Training and technology transfer

9 Presentation overview Study background Opportunities Introduction - Context Objectives of the study Organisation Activities and calendar Material and method Results Next steps and conclusion

10 Opportunities Regional collaborative study & capacity building Participatory approach Involvement of each forestry services in the production In-country experience and knowledge sharing Methodological discussions Access to recent high resolution satellite data Update/improve in-country and regional information about the impact of Gold mining since 2008

11 Presentation overview Study background Opportunities Introduction - Context Objectives of the study Organisation Activities and calendar Material and method Results Next steps and conclusion

12 Introduction - Context (1) Gold price and production Global financial crisis ( ) Global financial crisis ( ) (a) Global price of gold per ounce (USD) from January 1980 to May 2014 (World Gold Council 2012). (b) Gold production ( x 103 ounces) in Latin American countries from 1970 to 2010 (Brown et al 2010). Source: NL Alvarez-Berríos et al, 2015

13 Introduction - Context (2) Previous study results Amapa Amapa 131 km 161 km

14 Introduction - Context (3) Recently published study (Alvarez-Berríos et al, 2015) Regional assessment of gold mining deforestation in the tropical moist forest biome of South America Study site: Colombia, Venezuela, Guyana, Suriname, French Guiana, Brazil, Ecuador, Peru, and Bolivia Data: MODIS (250m) Period of analysis: and comparison of deforestation between and Results: 41% of deforestation caused by gold mining between occured in the Guianan moist forest ecoregion (Venezuela, Guyana, Suriname, French Guiana)

15 Introduction - Context (4) Recently published study (Alvarez-Berríos et al, 2015)

16 Presentation overview Study background Opportunities Introduction - Context Objectives of the study Organisation Activities and calendar Material and method Results Next steps and conclusion

17 Objectives of the study 1. Main objectives (Production): Update the results of the last study ( ) for the period : Detect, map and quantify forest areas impacted by gold mining activities Detect, map and quantify waterways directly and potentially impacted Harmonize roads and human settlements data at the regional scale 2. Other objectives: Enhance regional dialogue and collaboration on the topic Reinforce the capacities of the forestry services of each country on high resolution data analysis such as SPOT 5 Capitalize on national/local experiences and knowledge to improve detection and understanding of gold mining activities Produce comparable results at the Regional scale using a common methodology

18 Presentation overview Study background Opportunities Introduction - Context Objectives of the study Organisation Activities and calendar Material and method Results Next steps and conclusion

19 Organization Coordination of the study ONF International Contact: Mathieu Rahm Technical lead ONF Guyane ONF International Implementation & Production Experts from the forest services of each territory Compilation& Accuracy assessment ONF Guyane ONF international Results analysis & reporting All

20 Presentation overview Study background Opportunities Introduction - Context Objectives of the study Organisation Activities and calendar Material and method Results Next steps and conclusion

21 Activities and calendar (1) Core team of expert meeting and discussion (3 weeks Nov 14 & Jan 15 French Guiana) General discussion and exchanges on in-country monitoring methods Methodology training and discussion Visit of the SEAS satellite receiving station Field visit on gold mining site

22 Activities and calendar (2) Production & in-country support 2 days in-country technical specific support (March) Data processing & delivery (Feb- end of May) 1, 5 month delay Technical issues Improvement of the methodology implied extra work Delay mostly absorbed Data compilation (end of may) Accuracy assessment (june ongoing) Production of results (June ongoing) Reporting (ongoing) Draft report delivery (beginning of July) Partners review and comments (mid of July) Final report delivery (end of July) Slight delay (1 or 2 weeks on official date)

23 Presentation overview Study background Opportunities Introduction - Context Objectives of the study Organisation Activities and calendar Material and method Results Next steps and conclusion

24 Material and method Study site Km2

25 Material and method (Gold mining impact on forest cover) (1) Data SPOT 4 (20m), 5 (10m) & 6 (1,5m) Agreement with Airbus and Seas station for free access to archives of SPOT 4,5 data SPOT6 limited access Budget: euros Normal price around euros for one image (30 images) Number of SPOT images ordered: 944 Number of images used for digitalization : 190 Landsat 7 & 8 (30m) Rapideye (5m) Data used for digitizing gold mining SPOT: 40% Landsat: 22% Rapideye: 38%

26 Material and method (Gold mining impact on forest cover) (2) Processing steps Image selection & ordering Pre-processing (use of QGIS open source software) Projection system Coregistration of SPOT and Rapdieye imagery with spatial reference data (Landsat 8) Cloud mask creation Automated pixel-based classification Bare soil filter creation using NDWI indices Core-processing Photo-interpretation Band combination Ancillary data (topographic maps, LULC maps, mining concessions,...) Manual digitalization Attributes filling (type of gold mining, image reference, comments,...) Quatlity control and shapefile delivery

27 Material and method (Gold mining impact on freshwater) (1) Data Recently freely accessible SRTM (Shuttle Radar Topography Mission) at 30m Terrain elevation model Processing steps (QGIS and GRASS open source software) Generation of watershed using SRTM 30 data Automatic generation of impacted waterways based on localization of gold mining areas Two types of potential impact: Direct impact (direct contact of the waterway with the mining site) Indirect impact (downstreams of directly impacted waterway)

28 Presentation overview Study background Opportunities Introduction - Context Objectives of the study Organisation Activities and calendar Material and method Preliminary results Next steps and conclusion

29

30 Results (Gold mining impact on forest cover in 2013 (+- 1 year)) (2) SURFACE IMPACTED 2013 Region Impacted Area (Ha) Max area (Ha) Min area (Ha) Mean area (Ha) Standard Deviation (Ha) AMAPA 2 124,8 353,6 0,5 19,3 44,5 FRENCH GUIANA ,3 946,7 0,5 17,3 59,2 GUYANA , ,6 0,5 10,5 34,7 SURINAM , ,3 0,5 19,7 101,2 TOTAL , ,3 0,5 16,7 29,3

31 Results (Gold mining impact on forest cover in 2013 (+- 1 year)) (2)

32 Results (Gold mining impact on forest cover in 2013 (+- 1 year)) (3)

33

34 Results (Gold mining impact on freshwater in 2013 (+- 1 year)) (2) Considerations SRTM 90m SRTM 30m

35 Results (Gold mining impact on freshwater in 2013 (+- 1 year)) (3)

36 Presentation overview Study background Opportunities Introduction - Context Objectives of the study Organisation Activities and calendar Material and method Results Next steps and conclusion

37 Next steps Verification, correction & validation of the impacted waterways layer by countries (as sonn as possible) Results analysis (3 July) Landsacpe metrics analysis Proximity analysis with roads and settlements Delivery of drat report to partners (3 July) Review, comments and further analysis by partners (24 July) Consolidation and final delivery (31 July) Conclusion

38 Conclusion (1) Valuable and concrete output of the project Good combination of the different objectives of the project Further develop Regional dialogue & collaboration Technology transfer & capacity building in sustainable way (open source software and use of high resolution data similar in resolution & spectral information as coming Sentinel 2A) Improve knowledge & understanding of the drivers of deforestation Very good opportunity for applying in an operational way what has been learned during other training or activities (capacity building) LCCS use for defining gold mining class Pixel-based classiffication tools using Orfeo toolbox (cloud mask) Project management using QGIS open source software Lanscape metrics for analysis Additional training Use of SRTM data Watershed production using GRASS open source software

39 Conclusion (2) It could be very interesting to organize a last regional meeting to discuss the output of this study Potential participants Core team of experts involved in the production Additional stakeholders to bring valuable input with another perspective on the analysis of the results Members from mining commission Natural resources ministry

40 Conclusion (3) Objectives of the potential meeting Presentation of the results & analysis and discussion Further analysis of the results Share experiences on monitoring, controlling and repressive methods for striking illegal mining Better understand why the activity is increasing so fast in the region and perspectives for the future Why is it diminishing, stabilizing or increasing in some countries? Economical will? Difficulty to control illegal logging results Depending on budget available and interest of the partners?... Comparison of the legislation on gold mining in the region For the core team of expert: one-day (or half day) presentation & consolidation training on the tools used for the analysis of the results (statistics, landscape metrics, proximity analysis)... What do you think about organizing such a meeting? What shape would like to give it?

41 Conclusion (4) A valuable output of the project could also be a joint publication of the results to give more visibility to the work that has been performed and encourage similar initiatives in the region or elsewhere. Would you be intersted to jointly publish the results of this study? If yes: Which type of publication? Do you have ideas?

42 Conclusion (5) What is your feedback so far on this regional collaborative study? What do you think of such regional studies? Was it useful? Why? Did you learn new tools or methods? What do you think about these tools and methods? Did it develop your knowledge on gold mining (fieldwork performed?, experience sharing?, photo-interpretation?...)? Will you integrate what you have learned in future or current mapping activities? Was it challenging for you to implement this study? If yes, why? Technical issues (new software, new data, new methodology, high cloud cover...)? Lack of experience on such big scale studies (large amount data?, coordination within the team?,...) Lack of human resources? Too high amount of production? Too tight deadlines?... Was the support from technical team and communication sufficient & efficient? In the perspective of a second phase, do you think it is important to include such regional collaborative studies? Should it be more developped?... Any feed back is useful!

43 Conclusion (6) What about data sharing policy? The final maps and reports will be publicly published and freely available as agreed at the beginning of the study What about the dataset? Shall it be available under specific circumstances? Only for research purposes? If yes, what would be the process for a researcher for obtaining this data? Specific forms to fill in for validation by the data producer? How the data source must be cited and referenced in case of use in publications, journals and other media As the results will be soon available, this has to be formalized and standardized to avoid misuse of the data and problems with data sharing

44 Session overview Gold Mining Regional Participative Study Analysing and Modeling Future Deforestation Regional Database Regional Dialogue Focus Group Regional Tools and Dialogue budget situation

45 January- June implemented activities Modeling future deforestation (studies and model)

46 Analyzing the past to forecast the future Regional Project Remote Sensing Tools and Methodology Capacity building, technology transfer, etc. Monitoring Forest & Deforestation Gold Mining & other Analyzing, understanding past deforestation Characterizing historical deforestation dynamics Characterizing regional interactions Modeling Regional Dialogue REDD+ Baseline Scenario and Strategy Land use planning

47 Project objectives on modeling deforestation 2 technical focus -> - Deforestation dynamics understanding - Future deforestation modeling Context -> Need to increase regional knowledge and understanding of historical deforestation dynamics and capacities in terms of modeling future deforestation, including in the perspective of transnational interactions and to help building future forest management policies. 3 main objectives -> Reinforce capacities on historical analysis and future modeling of deforestation; Support decision making process through tools and methods; Encourage discussions on transnational deforestation and degradation threats.

48 Analyzing the past to forecast the future Regional Project Remote Sensing Tools and Methodology Capacity building, technology transfer, etc. Monitoring Forest & Deforestation Gold Mining & other Study 1 & WGM5 Characterizing historical deforestation dynamics Analyzing, understanding past deforestation Characterizing regional interactions Study 2 PHD & WGM5 Modeling Regional Dialogue REDD+ Baseline Scenario and Strategy Land use planning

49 Analyzing the past to forecast the future Regional Project Remote Sensing Tools and Methodology Capacity building, technology transfer, etc. Monitoring Forest & Deforestation Gold Mining & other Analyzing, understanding past deforestation Study 1 & WGM5 Characterizing historical deforestation dynamics Characterizing regional interactions Modeling Regional Dialogue REDD+ Baseline Scenario and Strategy Land use planning

50 Analysing historical deforestation: Study 1: Method and tools to analyse historical deforestation. We assume generally in the near future that deforestation will be driven by what had driven deforestation in the past... Thus, analysis of historical deforestation has two main interests: Understand past : What has driven deforestation in the past? To forecast the future : What will drive deforestation in the future? In the context of REDD+, historical analysis of deforestation is essential for: Established reliable baseline : What will happen without intervention? Design effective activities/policies to implement : How curb down deforestation?

51 objectives Identify appropriated methods and tools to analyze historical deforestation (linked to other activities as remote sensing) Characterize deforestation and identify similar patterns of deforestation across different regions for facilitate common modeling approach (linked to Camille's phd) Transfert capacities to partners countries to encourage re-assess (appropriation) Promote regional dialogue through common methods and tools (share of experiences)

52 Processus Identify relevant methods to analyze historical deforestation: The new use of landscape metrics Dialogue and information sharing with each countries partners to identify study sites Development of innovative tools (plugin) on open source software (R) (same as Camille) Transfer of method and developped tools during WGM5 Ensure appropriation by each partners of transfered method and tools

53 Source: Mertens and Lambin, 1997 Landscape metrics The landscape metrics are algorithms that quantify specific spatial characteristics of patches, classes of patches, or an entire landscape. Even if initially, landscape metrics were developed to characterize forest landscape fragmentation and were used mainly to measure threats on biodiversity, we attempted to applied these metrics to deforestation areas. require little data: only Forest/Deforestation maps; provide lot of informations: Each driver of deforestation can have different footprint, and thus landscape metrics can allow to pre-identify drivers (cf. Mertens and al., 1997)

54 Study sites Each study site have been chosen by partner himself (at the begining) Fr. Guiana study site identified early and not still included in the analysis. Uptdate study sites after WGM5 (since participants have a better understand of methods and tools).

55 Preliminary results (1) Study has statistically characterized deforestation patterns on each study sites Some interesting results for each sites, example:

56 Preliminary results (2) Landscape metrics allows cross-site comparison. Different global trend of deforestation : but some similar dynamics: and similar patterns of deforestation :

57 Next Step: Joint publication Need of field interpretation and knowledge to obtain conclusive evidence on drivers of deforestation associated to each statistical patterns identified. option 1: Perform call meeting with each partner to present results and obtain their own feeling - develop an interpretation note (1 page) to include in the paper - Ensure full appropriation of method and tools by each partner (eg. yearly re-assessment) Option 2: Identified a person (who attented to WGM5) by partner country to perform analysis and interpretation (1-2 pages) on a selected study site. Deadline: End of August for partner contribution. End of September for compute final paper

58 Analyzing the past to forecast the future Regional Project Remote Sensing Tools and Methodology Capacity building, technology transfer, etc. Monitoring Forest & Deforestation Gold Mining & other Analyzing, understanding past deforestation Study 2 Characterizing historical deforestation dynamics Characterizing regional interactions Modeling Regional Dialogue REDD+ Baseline Scenario and Strategy Land use planning

59 Analysing historical deforestation: Regional interactions within Guiana Shield: Launching of this second study

60 Objectives Understand cross-border interactions is a crucial issue to implement efficient regional activities. Better knowledge about historical regional interactions to encourage regional dialogue and common action. Econometric study to answer: Do regional interactions are complementary? (+/+ or -/-) (e.g. better land access management in a country reduces deforestation in others countries,...) Do regional interactions are substitutable? (-/+ or +/-) (e.g. better gold mining control in a country increases deforestation in others countries,...) There is no significant regional interaction.

61 Theoretical Concept Global deforestation dynamic can be decomposed between : Long term structural effect: population growth, economic development, economic debt,... Short term effects: price of gold, inflation, foreign trade fluctuations,... and by the deforestation of my neighbors? Short term effect Structural deforestation Observed deforestation Short terms effect = Observed - Structural Short term = f(economic conditions +Regional interactions) Observed = f(structural + economic conditions + Regional interaction )

62 Method: Econometric modeling Develop an econometric model including leakage effect between countries. Model should help to quantify regional interactions (spatial lag of dependency variable: How much deforestation is explained by deforestation of my neighbor?) Econometric model should take into accout two differents types of leakages: Market leakage effect corresponding to an indirect displacement of activities through market mechanism (e.g. better control of illegal logging in a country increases price of timber and displace demand towards neighbors) Physical activity shifting from a region to another adjacent or surrounding region (e.g. better control of gold mining in a region could be incentive to move operations in the neighboring region)

63 Proposed process Develop and estimated econometric model using homogeneous forest loss (Hansen et al.) and macro-economic data for all countries of Guiana Shield. Confronts first econometric results with feeling of country partners and obtain their own interpretation Valorization of these feedbacks in the report. Open discussion on your feeling and expected process and outputs...

64 Analyzing the past to forecast the future Regional Project Remote Sensing Tools and Methodology Capacity building, technology transfer, etc. Monitoring Forest & Deforestation Gold Mining & other Analyzing, understanding past deforestation Characterizing historical deforestation dynamics Characterizing regional interactions PHD & WGM5 Modeling Regional Dialogue REDD+ Baseline Scenario and Strategy Land use planning

65 Modeling deforestation Camille's phd : Spatially explicit deforestation model in the Guiana Shield

66 Two parts Location model: prediction of the highest potential of deforestation, based on geographical data; Intensity model: for each subdivision of the countries, prediction of the absolute intensity of deforestation (number of hectares deforested per year) based on socio-economic and political factors.

67 Location model Location model is almost finished; First map of the risk of deforestation presented for the whole region during WGM5 and provided to participants; But some data are still missing: Protected Areas in Guyana; Permanent Forest Estate in Amapa if relevant; Mining authorizations in Suriname. And some information about the respective definitions of the different layers: especially Permanent Forest Estate when available (which constraints on human activities?), and mining authorizations (which advancement in the authorization process?) Good prediction of deforested pixel on calibration period: 9,5% error rate, and good ability of predicting deforestation on a later period not used for calibration: 15% error rate 5 years later => Good stability of the model of location of deforestation

68 Intensity model (1) Work still in progress for French Guiana: Modelling intensity of deforestation due to urbanization and agriculture 2 major factors: population growth and agricultural subsidies For the Guiana Shield, first tests of modelling gold-mining intensity based on a unique explanatory variable: gold prices (internship by Emmanuel Faure, Paris VI University, Ecole Normale Supérieure) Data still to collect for the other countries

69 Intensity model (2) Need to define a person in each country interested in collaborating for identifying major local socio-economic and political drivers, and associated data for the period 90 s to 2010 s Some first data needed: Population growth at the smallest scale possible (Regions, Municipios, Districts, Ressorts, ) during 90 s to 2010 s Some insights on political or economic incentives for gold mining and agriculture in the past periods

70 Session overview Gold Mining Regional Participative Study Analysing and Modeling Future Deforestation Regional Database Regional Dialogue Focus Group Regional Tools and Dialogue budget situation

71 January- June implemented activities Regional Database

72 Presentation overview Objectives Development process Definition of categories (thematic approach) Creation of the DB structure Original data collection and integration Standardized data Data fusion and homogenization Finalization Implementation: Roads and settlements Next steps

73 Objectives Gather data available in each country in one unique database Facilitate access to data for next project studies or research studies in the region The countries should benefit from this ease of access by receiving valuable output from these studies by the use of up-to-date data and relevant data Win of time and efficiency for all regional collaboration activities in the future Platform of exchange information that could reinforce and keep the regional dialogue ongoing Standardize the format of the data at the regional level Homogenize the data at the regional level to obtain a unique layer Useful for cross-borders and regional studies

74 Presentation overview Objectives Development process Definition of categories (thematic approach) Creation of the DB structure Original data collection and integration Standardized data Data fusion and homogenization Finalization Implementation: Roads and settlements Next steps

75 Development process Definition of categories (thematic approach) Creation of the DB structure Original data collection and integration Standardized data Data fusion and homogenization Finalization

76 Definition of categories To facilitate the research of information thematic have been developed

77 Creation of the DB structure A specific tree structure has been developed in order to be able to archive the data under different level of processing: The original data collected The standardized data The merged data at the regional scale The final data

78 Original data Original data The collected data is delivered to the administrator of the database The data is analyzed (source, attribute table, fields, projection system)

79 Standardized data During the analysis phase, the fields of the original data are compared in order to define a common structure that will be used to create a standardized data The name of the fields are systematically translated in English The projection system is reprojected in a common WGS system A blank standardized shapefile is created with the common fields A ETL (Extract Load Transform) is then used to join the fields of the original dat with the standard shapefile

80 Data fusion and homogenization Once the data of each country have been standardized, they are merged into one to obtain one layer for the GS

81 Finalization The finalization step consist in validating the layer for the Guiana Shield level These processing steps allow to obtain one unique layer of information with common field values for all the countries A catalog has been created for having an overview of the existing data and their processing level The DB is a structure of well defined folders which is flexible for an easy integration in any type of DB

82 Presentation overview Objectives Development process Definition of categories (thematic approach) Creation of the DB structure Original data collection and integration Standardized data Data fusion and homogenization Finalization Implementation: Roads and settlements Next steps

83 Implementation: Roads Original data

84 Implementation: Roads Standardization

85 Implementation: Roads Standardized data merged at the Guiana shield scale

86 Implementation: Roads Standardized data merged at the Guiana shield scale

87 Implementation: Settlements Original data

88 Implementation: Settlements Original data

89 Presentation overview Objectives Development process Definition of categories (thematic approach) Creation of the DB structure Original data collection and integration Standardized data Data fusion and homogenization Finalization Implementation: Roads and settlements Next steps

90 Next steps The structure of the data has been developed A first report has been produced by ONF that need to be translated for sharing it with the participants Some data have been collected by ONF, other data were made available to Camille Dezecache in the frame of his PhD thesis. Decision regarding the next steps need to be taken: What do you want to do with this DB? Do we gather all data shared with ONF and PhD student and provide a list to each partner for validation? Where would you want to see those data? Which format for a DB? Integration within existing structure if possible (GSF?)

91 Session overview Gold Mining Regional Participative Study Analysing and Modeling Future Deforestation Regional Database Regional Dialogue Focus Group Regional Tools and Dialogue budget situation

92 January- June implemented activities Regional Dialogue Focus Group

93 Focus Group for Regional Dialogue Idea came up in 4th SCM in January 2015: A focus group would be a tool for moving forward with a regional dialogue and plans for COP21 between the SCMs. Project team drafted ToR for Regional Dialogue Meetings, including the establishment of a focus group: No objections from SC members Not as much as planned has happened since then with the focus group: Maybe there will be a more important role in the second half of 2015?

94 Composition of focus group Expected composition: 2 members from each project country 1 per observer organization, donors Project team serve as secretariat and make proposals Amapá announced two focus group members: Mariane Nardi (IEF) Patrick Farias (SEMA) Suriname announced one name so far: Merlien Jadi - Leefland (SBB) Waiting for additional nominations from other project partners.

95 Mandate of the focus group According to the ToR: Take stock at the project achievements to identify the most remarkable results and conclusions of the project; Review, comment and make any proposal to the Regional Dialogue Meeting agenda that will be submitted by the project team; Identify opportunities for sharing the regional dialogue outcomes to relevant audiences beyond the project and work towards making that happen (including to prepare a proposal for a technical side event in the UNFCCC COP21); Discuss a strategy to encourage willingness for common action to avoid unplanned deforestation in the Guiana Shield; Strive to sustain a Guiana Shield regional REDD+ collaboration platform beyond the project lifetime (may include fundraising for post-2015 activites).

96 Deliverables of the focus group According to the ToR: An agenda for the Regional Dialogue meetings to be held in the framework of the project, or at least guidance to the project team for preparation of this agenda; A background documents to share with participants in the Regional Dialogue Meetings, consolidating project achievements according to the focus group and stimulating discussion on the way forward; A proposal for a technical side event that may be submitted to UNFCCC to possibly be held at COP21; Alternative proposal for sharing regional dialogue outcomes if a COP21 side event cannot be held; Content plan, think-piece and/or presentations for the sharing of regional dialogue outcome; Input to potential funding proposals in case there is willingness to continue regional collaboration after the closure of REDD+ for the Guiana Shield project.

97 Future of the focus group Discussion: Do we need a focus group for the coming 6 months? What should their role be (mandate and deliverables)? What kind of working methods and communication channels to use?

98 Session overview Gold Mining Regional Participative Study Analysing and Modeling Future Deforestation Regional Database Regional Dialogue Focus Group Regional Tools and Dialogue budget situation

99 Regional Tools & Dialogue Regional Studies - Snapshot on regional REDD+ activities - MRV systems comparative table - Gold Mining Regional Collaborative Study - Analysing and modeling deforestation Dialogue & Communication Tools - Internet website - Experts forum - Bimestrial newsletter - Promotional video - Carbone compensation - Activity based data sharing policies Regional GIS Database Regional Future Deforestation Model Regional Dialogue Meetings Focus Group Meetings

100 Budget situation Scheduled activities for Regional Tools Dialogue budget line => Finalization of regional studies, Deforestation Models, GIS Database, 2 regional dialogue meetings, carbone compensation

101 MERCI / THANK YOU / DANK U / OBRIGADO Photo credit: ONF Guyane