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Locating and mapping peatlands: workshop for national
1. QUANTIFYING TROPICAL WETLAND BIOMASS AND CARBON STOCKS
Locating and mapping peatlands:
workshop for national stakeholders
February 1, 2021
https://www2.cifor.org/swamp/
2. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
+ Democratic Republic of the Congo (P);
Ghana (M); Madagascar (M)
3. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
https://www2.cifor.org/global-wetlands/
https://data.cifor.org/dataverse/swamp
4. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
SWAMP Protocol Adopted Internationally:
2013 Supplement to the
IPCC Guidelines for
National GHG
Inventories: Wetlands
5. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
Training on the National Forest Inventory
Field Protocol for Peatlands
January 24-31, 2018 | Mbandaka, DRC
6. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
SWAMP IN SOUTH AMERICA
• Mapping wetlands
and peatlands in the
Andes and the
Amazon
• Developing
degradation maps
• Developing
deforestation maps
• Capacity building
within government
agencies
7. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
CHALLENGES FOR MAPPING
PEATLANDS IN SOUTH AMERICA
• Global methods (e.g
Gumbricht et al. 2017) have
limitations, especially in the
mountains with difficult
access
• Peru has a good ecosystems
map, however, land cover
maps do not include
peatlands, especially in the
Andes
• It is hard to differentiate
peatlands from wetlands
• Because, for example, using
"landsat" they look very similar
• Even looking at them, they are
very similar, until it is examined
belowground
8. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
OUR SOLUTION
Groundtruthing, including peat
sampling
Adding multidate
radar methods
Modelling with
“random forest”
provides supervised
classification
With the map and the soil
samples, we can
estimate C stocks
Image/GIS Layer
Stack
Random Forests
Classifier
SRTM/ASTER DEM
Topographic Position
Index
Radiometric Terrain
Correction
SAR
Multi-Date
Stack
Training/ Validation
Classified Image
Aerial Image
Interpretation
Field Data
40 m x 50 m
plots
Landsat
Multi-Date
Stack
SAR
Multi-Date
Stack
C
12. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
PERUVIAN PEATLANDS
Peatlands mostly concentrated in Loreto (Amazon) &
covered by palm swamp forests (PSF)
→ M. flexuosa palms cut for fruit
harvesting & worm collection
→Critical lack of knowledge on:
Extension & distribution of
degradation
Impacts of degradation on C
stocks and GHG emissions
PSF under degradation threat over past 30 years
13. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
Extent of degradation &
impacts on vegetation C
stocks (Hergoualc’h et al., 2017)
Shift: palm-dominated to woody
tree-dominated forest
Biomass reduced considerably
with degradation
-
26
%
0
40
80
120 Biomass C stock
(Mg C ha-1)
Other palms
-
44
%
73% of PSF area classified as
degraded in 350,000 ha of study
Highest degradation towards the
north, lowest inside Pacaya Samiria
reserve
→ Iquit
os
14. Pole forest in the hydromorphic
area have ~1390 Mg C ha-1
Palm swamps have ~828
Mg C ha-1
OUR MAP
User accuracy Draper 2014 This map
Herbaceous-shrub swamp 94.0% 99.0%
Palm swamp forest 78.9% 98.3%
Pole forest 80.0% 95.0%
Floodplain alluvial forest 80.1% 84.9%
Upland forest 99.7% 91.5%
Carbon (Pg) 3.14 ~3.47
15. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
DEFORESTATION MAP
Bourgeau-Chavez, L.L., et al. Unpublished data
16. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
COLLABORATION
• We are working with national institutions within MINAM to
develop maps at a national level, focusing on building
capacity within the institutes.
• INAIGEM for the National Bofedales Inventory, for the Andean region.
• IIAP to create a wetlands and peatlands map for the Amazon region.
17. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
POTENTIAL TO IMPROVE WETLANDS AND
PEATLANDS MAPS AT A NATIONAL LEVEL
• For a national map we
need to:
• Enhance the local
capacity to use these
methods
• Have more groundtruthing
points
• An opportunity to
collaborate with the
National forest inventory
(INFFS)?
• Rapid sample methods or
peat probing.
• Apply them at a national
level
MARCO METODOLÓGICO DEL INVENTARIO
NACIONAL FORESTAL Y DE FAUNA SILVESTRE 2016
18. Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)
KEY MESSAGES
• There is more peat in the Peruvian Andes and in the Amazonian pole
forest than we previously thought.
• The amount of carbon in peat rivals that of rainforest biomass and
remains an important sponge for atmospheric CO2, which, unlike
forests, can grow for millennia if protected. This natural resource is
also a potential economic resource in the context of payments for
carbon sequestration. But to manage this resource, we need an
accurate map.
• With good field data, and more field points, these maps can be
improved and expanded to the national scale, providing a basis for
good management.
• Deforestation is lower than expected in the hydromorphic area, in
part because of the limited accessibility.
• SWAMP global database and course resolution map publicly available
• CNIAF and DIAF teams trained on SWAMP protocols for data
collection in peatland forests
19. MERCI
GRACIAS
THANK YOU
Denis Sonwa | D.Sonwa@cgiar.org
Olivia Freeman|olivia.freeman@fs-ip.us
Ana Maria Planas | amplanas.silvacarbon@gmail.com
Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)