UNFCCC Workshop on Reducing Emissions from Deforestation in Developing Countries 30080192006, Rome, - PowerPoint PPT Presentation

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UNFCCC Workshop on Reducing Emissions from Deforestation in Developing Countries 30080192006, Rome,

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Change in land cover for most tropical regions can be measured from space with ... Majority of tropical countries have no recent national forest inventories ... – PowerPoint PPT presentation

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Title: UNFCCC Workshop on Reducing Emissions from Deforestation in Developing Countries 30080192006, Rome,


1
UNFCCCWorkshop on Reducing Emissions from
Deforestation in Developing Countries30/08-01/9/2
006, Rome, Italy
  • Overview of scientific, socio-economic, technical
    and methodological issues

Sandra Brown sbrown_at_winrock.org
2
Much progress in the last 10 years.
  • Remote sensing data at various scales readily
    available and methods and tools have been
    developed and for estimating and monitoring
    carbon emissions from tropical deforestation and
    degradation
  • Change in land cover for most tropical regions
    can be measured from space with confidence, but
    measuring forest degradation from satellites is
    more technically challenging
  • Peer reviewed tools and methods available using
    field measurements to estimate carbon stocks in
    forests with high confidence.
  • Methods for estimating net and gross emissions
    from deforestation/degradation are available in
    existing IPCC reports (1996, 2003, 2006)

3
Definitions
Forest Definition (annex to decision 16/CMP.1 of
Kyoto Protocol) Minimum forest area 0.05 1
ha Minimum tree height 2 5 m Minimum crown
cover 10 30
Degradation (from IPCC) Direct, human-induced,
long-term loss persisting for X years or more
or at least Y of forest carbon stocks since time
T not qualifying as deforestation
Deforestation Direct, human-induced conversion
of forested land to non-forested land
4
Application of definitions
Crown cover
10
80
30
0
Carbon stocks in t C/ha
40
12
1
120
Deforestation ?C 80
30
Devegetation
Degradation
Deforestation ?C 108
10
Degradation
Devegetation
5
Drivers of deforestation and degradation as
reported in national communications to the UNFCCC
6
Steps involved in a C monitoring system for
deforestation
DeFries et al. 2006.
Forest inventories In-situ/plot
data-projects Targeted remote surveyse.g. Lidar
and aerial imagery FAO statistics IPCC-GPG / AFOLU
7
Monitoring change in forest cover
  • Remote sensing data available for many land cover
    changes and many developing countries since 1990s
    and deforestation can be measured from space with
    confidence
  • Not all areas covered cloud cover issues for
    some key tropical countries
  • Identification of secondary forestsnot easy
  • Identification of degraded forests developing
  • Identification of selectively logged forest
    developing
  • Development of new technology and new analytical
    methods in RS field progressing for addressing
    these challenges and likely to be available for
    future monitoring

8
Monitoring carbon stocks
  • Need to match estimates of carbon stocks with
    changes in land cover to improve accuracy and
    precision of emission estimates
  • Current operational optical satellites cannot
    remotely sense biomass carbon
  • Optical satellites have difficulty in
    distinguishing secondary from mature forests, yet
    carbon stocks can differ greatly because of
    effects of age and ecological zone

9
How are forest biomass C stocks in the tropics
presently assessed?
  • Robust tools exist for converting traditional,
    statistically designed forest inventory data to
    carbon stocks in trees use defaults for other
    pools (IPCC GPG Ch. 3 FAO)
  • Majority of tropical countries have no recent
    national forest inventories
  • Research plots generally insufficient as not
    from population of interest and designed for
    other purposes

10
(No Transcript)
11
How to measure carbon stocks ?
  • Traditional inventory approach
  • Can be done in smaller countries and at project
    scale
  • Requires large resources at national level
  • Cost-prohibitive for large countries and not
    practical
  • Need remote means that are
  • Cost-effective
  • Low uncertainty (high precision)
  • Transparent and repeatable
  • Acceptable to policy makers

12
Future trends in measuring and monitoring carbon
stocks for DD
  • Build on existing techniquesregular
    inventories done by sampling
  • Need remote means
  • Not necessary for wall-to-wall mapping but
    statistical sampling approach
  • New remote technology developing
  • Lidar already shown to measure changes in forest
    structure height is a good indicator of forest
    biomass change
  • High resolution digital imagery combined with new
    field data on key metrics of forest carbon-crown
    area and tree height

13
Conclusions
  • Analysis of airborne or satellite remotely sensed
    data is the only practical approach to measure
    changes in DD at national and international
    scales.
  • Since the early 1990s, tools and methods exist to
    measure changes in forest area from space with
    confidence.
  • Measuring forest degradation from satellites is
    more technically challenging but methods are
    becoming available.
  • There are no accepted standard practices for
    measuring forest carbon stocks using RS data
    instead they are estimated from traditional
    forest inventories or from default data.
  • Investments are required to expand inventories of
    forest carbon stocks so that reliable carbon
    estimates can be applied to deforested and
    degraded areas interpreted from RS imagery.
  • New technologies and approaches are developing
    for monitoring changes in carbon stocks with
    confidence using a combination of satellite and
    airborne imagery.

14
Conclusions (cont.)
  • Methods for estimating net and gross emissions
    from areas with measurable DD are available in
    existing IPCC 1996 GHG inventory methods, the
    2003 GPG-LULUCF and the pending IPCC AFOLU.
  • Reliable and transparent results from application
    of these methods are hampered by capacity,
    availability, and access to data on both change
    in forest cover and, more critically, by change
    in carbon stocks
  • NEXT STEPS
  • Development of standard protocols for
    interpreting and analyzing remote sensing data at
    various scales, including which data to collect
    and use, how to analyze the data, and acceptable
    levels of accuracy to attain, etc (akin to GPG
    for C stocks for LULUCF)
  • Development of standard protocols for estimating
    carbon stocks of forests undergoing change at
    national scales, building on existing methods
    given in IPCC reports, and decisions on
    acceptable levels of accuracy and precision to
    attain.
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