Embed Size (px)
Citation preview
Seite 1
India’s New Proposed VCS REDD+ Methodology
Kundan Burnwal
GIZ India Innovate4Climate, Barcelona
24, May 2017
Seite 2
REDD+ methodology being developed by GIZ India
06.06.2017
Context and Background
India has a National REDD+ strategy, National REDD+ reference document and is a member of the UNREDD programme.
Development of REDD+ projects has been cumbersome in the country due to the fact that application of available methodologies is difficult in the Indian context.
Ministry of Environment, Forest and Climate Change, Government of India, realised the need for a methodology specific to the Indian conditions and data sets available to ease development of REDD+ projects in India.
GIZ India is providing technical support in developing this VCS REDD+ methodology.
Seite 3
Progress on the Methodology
06.06.2017
Draft Methodology Developed
PSC completed - Stakeholder Comment period: May 28 – June 27, 2016. Comments received and addressed.
Methodology successfully completed two validations
In the final stage for registration. Undergoing final vetting by the VCS.
The methodology is numbered as VM0036 by the VCS.
Seite 4
Applicability Conditions
06.06.2017
Applicability Conditions
Applicable activities Eligible drivers Deforestation/Degradation
1. REDD [Avoided Unplanned Deforestation and Degradation (AUDD)]; or
2. A combination of AUDD and ARR
1. Unsustainable extraction of Fuel-wood 2. Unsustainable extraction of NTFP 3. Unplanned timber harvesting 4. Uncontrolled grazing and fodder
collection 5. Anthropogenic Forest fire 6. Unplanned mining or quarrying 7. Expansion of agriculture and
plantations by conversion 8. Encroachment
Degradation Degradation Degradation Degradation Deforestation Deforestation Deforestation Deforestation
Parameter Proposed Discussion
Type of Df and Dg Only Mosaic Df; Frontier Df not considered
• In line with the deforestation pattern observed in countries with high direct human dependence on forests.
• The agents are often physically closer to the area of forest change.
Project Area Project Area can be discontiguous
• Most of the forests facing high Df and Dg would qualify under this.
Seite 5
Applicability Conditions
06.06.2017
The methodology is globally applicable under the following conditions: The project activities include AUDD or a combination of AUDD and ARR. The project area must meet the definition of forest land for at least 10 years prior
to start date of any REDD activities. The project area must not be a forest land for at least 10 years prior to the start
date of the ARR activities and does not convert native ecosystems. Biofuel crop production is allowed in ARR activities. The ARR component must not be in lands where agriculture is being displaced
by more than 50% of the area by forestry activities.
The methodology is not applicable under the following conditions: The project activities include APDD. The project activities are in wetlands or peatlands The project activities only include ARR. The project activities include ACoGS.
Seite 6
Boundary Scenarios
06.06.2017
Fig: Example Project Area inside the Reference Region
Fig: Example Project Area and Reference Region that do not
Share Boundary
Fig: Example Discrete Parcels of Project Area and Reference
Region
Seite 7
Reference Region Vs. Project area
06.06.2017
The Project Proponent must satisfy all the points of comparison between RR and PA
Factor Points of Comparison
Forest types • The forests within the RR shall be similar to the forests within the PA.
• Any forest type in PA, having an area less than 5% of the total forest area of RR is not to be considered for the analysis.
Drivers • The types of prevalent drivers shall be the same. • RR shall not have any driver which is not present at the PA.
Management practice
• RR must be within the same management practices as the project area even if RR does not share the boundary with the PA, and is comprised of discrete parcels.
Area • RR shall not be less than that of the PA. • RR need not share boundary with the PA. • Both RR and PA need not be contiguous, and can be formed of
distinct parcels.
Seite 8 06.06.2017
Analyzing Historic LULC Trends Parameter Proposed Discussion
Land classes to be included
• All 6 land classes as per IPCC to be considered.
• Further regional/ national applicable classification allowed
Congruent to international conditions.
Forest density mapping
Fractional cover downscaling analysis desirable or other advanced RS techniques
Density mapping should give real picture in changes in forest density classes. Nationally accepted algorithms on fractional downscaling to be applied
Spatial resolution for LULC mapping
Less than or equal to 30 meters Spatial resolution of 30 meters or less will ensure a consistency with requirements on minimum mapping unit. For e.g. In India data sets for this spatial resolution (LISS-III) is available for the last 20 years
Minimum Mapping Unit
Equal to 1 ha. In line with the current available data; MMU need not be reduced drastically from 1 ha
Dataset At least of 3 time points Datasets not more than 15 years prior to the project start date with at least 3 time points have to be considered for historical LULC change analysis. One dataset has to be within 2 years of the start date of the project.
Seite 9 06.06.2017
Analyzing historic LULC trends
LULC Change matrix (df) + fractional downscaling or Advanced RS techniques (dg)
Socioeconomic surveys for drivers analysis
2017 Forest cover map
Overlay Change and causes in forest in the baseline
The future Df and Dg rate in the reference area is extrapolated from past trends in reference period
If four or more than four historical images are used, the project proponent may use Beta regression to extrapolate the rates of Df and Dg. However, if less than four images are used the average of two rates are used..
2009 2011
2016
Legend
Seite 10 Präsentationstitel hier eintragen 06.06.2017
Quantification: Emission reductions
Emission reduction as a
result of avoided Deforestation
Emission reduction as a
result of avoided Degradation
Emission sequestration as a result of
ARR
Carbon losses due to activities
including leakage
Any emissions resulting from the
intervention activities
tCO2e sequestered
Seite 11
Monitoring
Präsentationstitel hier eintragen 06.06.2017
Monitoring
Co-benefits
Increase in biomass due to ARR
Biomass change in area under REDD
Loss event Intervention activities in the project area and leakage management area
Emphasis on community based monitoring Community based Tools and Techniques on monitoring – technology based devices planned as a viable option
Seite 12
Novelty of the methodology and timeline
06.06.2017
The methodology is novel is several ways: Includes both REDD and ARR component Addresses localized drivers that lead to mosaic forest
degradation and deforestation Cost effective – provides options to use data that is already
available Supports community based monitoring First of its kind from the region
The methodology can be accessed at http://database.v-c-s.org/sites/vcs.benfredaconsulting.com/files/GIZ-IORA%20REDD%20Methodology_22052015.pdf (It has been substantially revised. Revised version will be uploaded after registration)
Page 13 06/06/2017
Thank you for your attention!
Authors of the methodology: Kundan Burnwal (GIZ) [email protected] Swapan Mehra (IORA) [email protected] Ashwin A.S. (IORA) Zainab Hassan (IORA) Santanu Basu (IORA) Ankit Rawat (IORA)
