REDD+ FOR THE GUIANA SHIELD Technical Cooperation Project SESSION 5: Tools for regional dialogue on REDD+ 4 th Steering Committee Meeting January 2015, Georgetown – Guyana

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

Focus of this session:

Regional tools and regional dialogue cycle Regional tools and data (non-intrusive = do not substitute national data and methodological choices) Regional dialogue on willingness for common action (address regional drivers if relevant, collaborate on REDD+...) Analysis and understanding Participative development

Regional tools and regional dialogue cycle Regional tools and data (non-intrusive = do not substitute national data and methodological choices) Regional dialogue on willingness for common action (address regional drivers if relevant, collaborate on REDD+...) Analysis and understanding Participative development Website Discussion forum Online library GIS database Regional studies Deforestation models Data sharing policy Regional REDD+ conference (Technical, political and social tracks)

Regional tools Project meeting reports and presentations Project website Online library with resources from all partners Discussion forum Regional GIS database Regional studies Participatory tools development Regional dialogue meetings Regional models of deforestation Regional data sharing policy

Presentations and discussions in this session

Regional studies Project meeting reports and presentations Project website Online library with resources from all partners Discussion forum Regional GIS database Regional studies Participatory tools development Regional dialogue meetings Regional models of deforestation Regional data sharing policy

Monitoring the impact of gold mining on the forest cover and freshwater at the Guiana Shield regional scale in cooperation with WWF GUIANAS

Rationale of the study (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 Global financial crisis ( )

Objectives of the study 1. Main objectives (Production):  Update the results of the last ONF study ( ) for the period :  Detect, map and quantify forest areas impacted by gold mining activities  Detect, map and quantify waterways impacted  Digitalize roads and human settlements localization 2. Other objectives:  Reinforcing the capacities of the forestry services of each country on high resolution data analysis such as SPOT 5  Capitalizing on national/local experiences and knowledge to improve detection and understanding of Gold mining activities  Produce comparable results at the Regional scale

Objectives of the study Satellite response : Track Vegetation regrowth Water Storage Burn vegetation for agriculture

Last study results

Project opportunities  Regional collaborative action  Participatory approach  Involvement of each forestry services in the production  Capacity building activity  Experience and knowledge sharing  Methodological discussions  Access to recent high resolution satellite data (agreement with Airbus D&S)  Additional digitalization of drivers of deforestation (roads and settlements)  Update/improve in-country and regional information about the impact of Gold mining since 2008 (combination of global financial crisis and raise of gold price)

Recently published study NL Alvarez-Berríos et al, 2015  Study site: Colombia, Venezuela, Guyana, Suriname, French Guiana, Brazil, Ecuador, Peru, and Bolivia  Data: MODIS (250m)  Period of analysis: and comparison of deforestation between 2001–2006 and 2007–2013  Results: 41% of deforestation caused by gold mining between occured in the Guianan moist forest ecoregion (Venezuela, Guyana, Suriname, French Guiana) Regional assessment of gold mining deforestation in the tropical moist forest biome of South America

Recently published study NL Alvarez-Berríos et al, 2015

Terms of Reference for the monitoring of gold mining ToR of the study available on the project website: 14/11/tor-gold-mining- impact-study-guiana- shield_vrevised.pdf

Organization of the study

Implementation of the study  The implementation implies the following activities: 1. Work preparation 2. Training and discussions sessions 3. Data processing and delivery of results 4. Data compilation and validation of results 5. Reporting and analysis

Calendar of activities SCM4

1. Work preparation (Oct-Nov 2014)  Core team constitution  2 staff members from each forestry services  Data selection and ordering  Build the methodology, based on  2010 WWF-ONF study (comparison of results)  Available satellite images  Ancillary data (roads and settlements,…) data and existing LULC maps available in the countries,  Use of open source software, especially Q-GIS.  Experience and knowledge of forest services

2. Training and discussion sessions (Nov 14-Feb 2015)  First 1-week session took place in November 2014  Team building  Getting started with Q-GIS  Training on pre-processing methods  Discussions over the methodology  Image ordering Based on the discussions of this session, ONF shared a proposition of methodology  Second 2-weeks session takes place next week (January- February 2015)  Consolidate the training on the proposed methodology  Fieldwork on mining site to improve photo-interpretation  Data processing for each country  Delivery of first report (mid February)  Manual with detailed description of the methodology

3. Data processing and results (February – mid April)  In-country data Processing  Support of 1 expert mission if needed  Deliverables  2 deadlines:  Intermediate results (end of February)  Final results (mid April)  Data delivery:  Forest areas and waterways impacted by mining activities in  Roads and settlements

4. Data compilation and validation (May 2015)  Validation of results and accuracy assessment  Realized by ONFI expert in remote sensing  Stratified random points  Exchanges with countries  Results homogenization

5. Analysis of results, reporting and final delivery (May-mid July 2015)  Objective:  Detail the methodology and data used;  Evolution of impacted forest areas and waterways  Discuss the results  Identify and analyze potential impact of roads and settlement proximity with mining activities.  Intermediate report delivery (mid June)  Sharing for comments (end of June)  Final report and GIS results delivery (mid July)

Administrative pending tasks  Contract still needs to be signed with WWF Guianas (under finalization)  A convention still needs to be signed between ONFi and each forest services regarding the contribution to the production of data and the agreement for publishing the results

Regional GIS database Project meeting reports and presentations Project website Online library with resources from all partners Discussion forum Regional GIS database Regional studies Participatory tools development Regional dialogue meetings Regional models of deforestation Regional data sharing policy

Terms of Reference for regional GIS database ToR available on the project website: ld.files.wordpress.com/ 2014/10/tor-regional- database-updated.pdf

Discussions

Project meeting reports and presentations Project website Online library with resources from all partners Discussion forum Regional GIS database Regional studies Participatory tools development Regional dialogue meetings Regional models of deforestation Regional data sharing policy Modeling future deforestation in the Guiana Shield

... PhD progress

Complementary study - Characterization of landscape patterns of deforestation in Guiana Shield: Tools and case studies -

 Context:  Minimum data available (Forest/deforestation map) before drivers data collection  Need for pre-analysis for improve work on common approach for modeling deforestation in Guiana shield ongoing (Camille's PhD)  Need for common tools (e.g. forest landscape management)  Objective: improve knowledge and understanding of historical deforestation patterns from remote sensing data:  To infer drivers of patterns: Provide objective and quantitative characterization of forest landscape patterns and deforestation (improve understanding and guide data collection of pre-identified drivers)  For comparative purposes: Identify cross-site homogeneity in forest landscape patterns and deforestation (facilitate sharing of experiences, common modeling approaches, etc.)  For capacity building: Provide tools and methods simply and rapidly reproducible on any region of Guiana Shield  Method: Several tools and methods are selected, tested and performed on areas of interest provided by each partner countries. Improve knowledge and understanding of historical deforestation patterns

 Landscape metrics refers to indices that quantify specific spatial characteristics of patches, classes of patches or entire landscape Minimum data available (Forest/deforestation map) before drivers data collection  Applied to forest and deforestation patches, landscape metrics are useful for understanding forest fragmentation and deforestation process.  Measures of forest fragmentation and deforestation patches may give first interesting assessment on types of drivers occurring on the area and may facilitate future data collection on drivers. Improve understanding through “Landscape metrics” Source: Mertens and Lambin, 1997 Examples of link between deforestation patch types and underlying causes.

 Index and metrics are developed in order to assess for each site:  Forest landscape pattern: Characterization of initial forest structure & fragmentation (for e.g. linkable to forest transition)  Forest landscape pattern change in time: Characterization and understanding of deforestation patterns (for e.g. linkable to types of drivers)  Forest landscape pattern change in space : Characterization and understanding of spatiotemporal dynamic of deforestation (for e.g. linkable to types of drivers) Improve understanding through “Landscape metrics” Spatial trend of deforestation Eg. Number forest patches Mean size forest patch Shape index Forest edge density index Forest fragmentation trend Forest Landscape metrics

 Identify, objectively and quantitatively, similarities and/or dissimilarities between regions:  Feasibility of joint modeling of deforestation ?  Opportunity to share experiences in forest landscape management ?  Etc.  Cross-site comparison of landscape metrics in term of:  Initial forest landscape patterns  Deforestation pattern  Spatiotemporal dynamic of deforestation Facilitate sharing by identify cross-site homogeneity difficult to implement a common modeling approach Deforestation patterns heterogeneous but Forest landscape homogeneous

 Development of a simple R programming including a set of forest and deforestation metrics :  Most popular platforms for data analysis  Free and open source software  Same software than that Camille uses (complementary to Camille’s work as a pre-analysis of drivers)  Next step ? Training session on these R programs, for encourage appropriation of methods and tools by countries partners. This would encourage future analysis on other regions/areas of interest to be conducted by countries partners itself. Improve knowledge and understanding of historical deforestation patterns

Budget and calendar situation for the activity channel « Tools for regional dialogue »

Budget and calendar situation

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