acre state system of incentives for environmental services
DESCRIPTION
Effectively monitoring deforestation is a crucial component for the success of REDD (Reducing Emissions from Deforestation and forest Degradation). In this presentation, Willian Flores from UFAC Instituto de Mundancas Climaticas gives an overview of how state-wide monitoring is conducted in Acre, Brazil. Willian Flores gave this presentation on 8 March 2012 at a workshop organised by CIFOR, ‘Measurement, Reporting and Verification in Latin American REDD+ Projects’, held in Petropolis, Brazil. Credible baseline setting and accurate and transparent Measurement, Reporting and Verification (MRV) of results are key conditions for successful REDD+ projects. The workshop aimed to explore important advances, challenges, pitfalls, and innovations in REDD+ methods — thereby moving towards overcoming barriers to meeting MRV requirements at REDD+ project sites in two of the Amazon’s most important REDD+ candidate countries, Peru and Brazil. For further information about the workshop, please contact Shijo Joseph via s.joseph (at) cgiar.orgTRANSCRIPT
UnderstandUnderstand
- Database
- Basic studies
- Integrated analyses
- Zoning
ValorizeValorize
- Opportunity costs
- Market value
- Replacement costs
- Ecosystem services
Create assetCreate asset
-Structure systems
(national, sub-
national, local)
- Government
cooperation
- Private sector
Environmental ServicesEnvironmental Services
Rural ProducerRural Producer ProviderProvider BeneficiaryBeneficiary
Institutional Arrangement
Law 2.308 of November 11, 2010
Create State System of Incentives for Environmental Services – SISA,
Program of Incentives for Environmental Services – ISA Carbono and other
programs of environmental services and ecosystem products of Acre
An nested
approach
Projet A Projet B
ProjetC Projet n
System of Nested Monitoring
Ph
oto
: Die
go
Gu
rge
l
National
State
Project
- National Climate Change Plan
- PPCD reduction targets - AM
- INPE Baseline – Resolution = 6.25 ha
- PPCD reduction targets - AC
- UCEGEO database – Resolution = 0.54 ha
- Adjusted INPE database – Resolution =
0.64 ha
- Define project reduction targets
- Adjusted INPE database – Resolution =
0.64 ha
- UCEGEO database – Resolution = 4 m2
(FORMOSAT)
- UCEGEO database – Resolution = 2,5 m
(SPOT 2012)
- Airbourne Laser – LiDar (pulses/m2)
- Aereal photography – Pixel 25 cm
- Field data
UCGEO: Monitoring of Deforestation
and Fire
Evolution
- Construction of series of historical
deforestation, regeneration, and fires
- Evaluation of different patterns within
the same use type
Objective
- Monitor alterations in land cover
at medium and high resolutions,
which allows for an analysis of
small properties
Monitoring
- SEANP (Indigenous Lands and
Conservation Units)
- Settlement Projects (Traditional
and Differentiated)
-Private Properties
-Other territorial areas
Metodology
Curve of Deforestation
Acquire
imagery
Treatment
and
correction
GeorreferencingSegmentation
Baseline (start)
Supervised and
unsupervised digital
classification
Matrix editing
Final product
(SHP and Excel)
(End)
Low energy spent
Medium energy spent
High energy spent
LANDSAT
(30M)
INPE site
Geocover Accuracy analysis
Field data
High resolution
imagery
(FORMOSAT)
0,00
0,10
0,20
0,30
0,40
0,50
0,60
0,70
0,80
88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10
0,38
0,33 0,33
0,23 0,24
0,29 0,29
0,74
0,26
0,22
0,33
0,27
0,33
0,26
0,54
0,66
0,44
0,36
0,24
0,110,14
0,09
0,15
Ta
xa d
e d
esm
tam
en
to a
nu
al (
%)
Anos
Monitoring: Deforestation
Source: INPE (2010)
Média 90-00 0.32
Média 01-10 0.30
Média 06-10 0.15
- State;
- Regions;
- Municipalities;
- Land tenure (UCs,TIs, PAs, Private
properties);
- Watersheds;
- Areas of Permanent Presevation
- Phytophysionomy;
- Geomorphological units;
- Soils;
- Area size
Total carbon stock
Targets for reducing rate of
deforestation by 2020
• Baseline of PPCD-AC: based on historical data and reduction targets and integrated with
PPCDAM
• 2nd version of Baseline: future projection based on a scenario without governance. In first
validation phase, use PRODES data, ZEE database, and vectors of deforestation in Acre.
SOURCE: Gregory Asner, Carnegie Institute,
California.
• FOREST DEGRADATION,
• REGENERATION
• IMPROVED CARBON STOCK
ESTIMATES
NEXT STEPS
• Partnership with Woods Hole Research Center to monitor land use with RADAR
• Partnership with EMBRAPA to elaborate forest biomass inventory (history of
forest degradation)
• Destructive forest inventories to elaborate allometric equations for Acre State
• Calibration of LIDAR, satellite images and forest inventories to estimate carbon
stocks
• Detailed soli mapping by municipalities
• Validation of jurisdictional baseline method