Enhancing the Resilience of Coastal Wetlands to Promote Sustainable Livelihoods in Changing Climate
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Enhancing the Resilience of Coastal Wetlands
to Promote Sustainable Livelihoods
in Changing Climate
Vien Ngoc NAMFaculty of ForestryNong Lam UniversityHo Chi Minh CityVietnam
Rodel LascoWorl Gorestry Center (ICRAF), Khush Hall Bldg.Los Baños, 4031, Laguna, The Philippines
Muljadi Tantra Green Forest Product & Tech. Pte. Ltd.3 Shenton Way, Singapore 068805
Wahyu Catur AdinugrohoForest Research and Development,Ministry of Environment and Forestry Jl. Gn. Batu No. 5 Bogor Indonesia
Taryono DarusmanGeneral Field Manager Katingan Peatland Restoration Project, Central KalimantanIndonesia
Benyamin BrownResearch Institute for Env & LivelihoodsCharles Darwin University Darwin, Northern Territory 0909 Australia
Daniel MurdiyarsoCenter for International Forestry ResearchJl. CIFOR, Situgede, Bogor 16115Indonesia
USDA FOREST SERVICE
The role of mangroves in Typhoon-affected area in the Philippines
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Damages: Tacloban City
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Damages: Palo, Leyte
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Damages: Ormoc City
DID MANGOVES HELP REDUCE DAMAGE?
USDA FOREST SERVICE
Coastal Wetlands Resilience:
Unlocking the potential of mangrove palms
NYPA FRUTICANS
• ‘Nipa’ or ‘Mangrove Palm’
– The only mangrove that is also a palm
– Leaves used for roofing material
• Indigenous to S & SE Asia
• One of the most prolific sources of sugar on earth
– Easily fermentable into alcohol
ETHANOL
SOURCES
COMPARED
Economical Perennial,
Low Input
Typhoon
Protection
Carbon
Sequestration
Biodiversity
Enhancement
Smallholder
Friendly
Food Co-
Production
Corn/
Wheat
Sugar Beet
Sugar
Cane
Nipa
Red = No Green = Yes
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USDA FOREST SERVICE
Restoration of Degraded Coastal Wetlands in the Mekong Delta
Mangrove in Ca Mau Province
Mangrove & Market Project
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1990’s decade with the shrimp culture boomedConverted mangrove into shrimp pondsRatio 70% Forest / 30% Pond
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LEVELLING RAISED BED IN SHRIMP POND
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Green Coastal Forestry for Coastal Development
USDA FOREST SERVICE
Assessing C stocks as Part of MRV and National Mitigation Actions
Source: Lagomasino, NASA, 2015 USDA FOREST SERVICE
Mapping mangroves distribution and C stocks in Papua, Indonesia
Lowland and Mangrove Forest Classification
By using Flexible Statistical Expert Based Classification method, up to 17 distinct classes of land cover with overall accuracy of 94.38% and kappa coefficient of 0.94 has been classified
Aslan Aslan1, Abdullah F. Rahman2, Matthew W. Warren3, Scott M. Robeson4, and Taryono Darusman5
1School of Public and Environmental Affairs (SPEA), Indiana University, Bloomington, IN 47405 - ([email protected]) ; 2Coastal Studies Lab, University of Texas Rio Grande Valley, San Padre Island, TX 78597;3Northern Research Station, USDA Forest Service, Durham, NH 03824; 4Department of Geography, Indiana University, Bloomington, In 47405 ; 5Puter Indonesia Foundation, Jakarta, INDONESIA
Mangrove Canopy Height Model
The modeled mangrove canopy height ranged from 4.3 to 36.2 m, whereas field data varies between 4.6 and 32 m with margin of error 3.0 m for MAE and 3.7 m for RMSE, respectively.
Aslan Aslan1, Abdullah F. Rahman2, Matthew W. Warren3, Scott M. Robeson4, and Taryono Darusman5
1School of Public and Environmental Affairs (SPEA), Indiana University, Bloomington, IN 47405 - ([email protected]) ; 2Coastal Studies Lab, University of Texas Rio Grande Valley, San Padre Island, TX 78597;3Northern Research Station, USDA Forest Service, Durham, NH 03824; 4Department of Geography, Indiana University, Bloomington, In 47405 ; 5Puter Indonesia Foundation, Jakarta, INDONESIA
Mangrove Biomass Modelc
Mangrove standing biomass in coastal area of Mimika varies from 62 Mg/ha in low canopy young Avicennia/Sonneratia stands to 1105 Mg/ha in mature tall canopy Rhizopora dominated stands
Aslan Aslan1, Abdullah F. Rahman2, Matthew W. Warren3, Scott M. Robeson4, and Taryono Darusman5
1School of Public and Environmental Affairs (SPEA), Indiana University, Bloomington, IN 47405 - ([email protected]) ; 2Coastal Studies Lab, University of Texas Rio Grande Valley, San Padre Island, TX 78597;3Northern Research Station, USDA Forest Service, Durham, NH 03824; 4Department of Geography, Indiana University, Bloomington, In 47405 ; 5Puter Indonesia Foundation, Jakarta, INDONESIA
Our modeled estimation of biomass is within the 90% confidence intervals for Rhizophora and Bruguiera, and all mangroves combined when compared to the area weighted mangrove biomass derived from field calculations.
USDA FOREST SERVICE
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