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The Sustainable Wetlands Adaptation and Mitigation Program (SWAMP) is a collaborative effort by the Center for International Forestry Research (CIFOR), the USDA Forest Service (USFS) and Oregon State University with support from the US Agency for International Development (USAID). SWAMP evolved from a multi-stakeholder exercise called the Tropical Wetlands Initiative for Climate Adaptation and Mitigation (TWINCAM), when the group was called to respond to a variety of challenges requested by stakeholders, ranging from local to global imperatives of sustainable wetlands management.
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1 to 7 of 7 Results
Apr 17, 2017
Gumbricht, T; Román-Cuesta, R.M.; Verchot, L.V; Herold, M; Wittmann, F; Householder, E.; Herold, N.; Murdiyarso, D., 2017, "Tropical and Subtropical Wetlands Distribution version 2", doi:10.17528/CIFOR/DATA.00058, Center for International Forestry Research (CIFOR) Dataverse, V1
Wetlands are important providers of ecosystem services and key regulators of climate change. They positively contribute to global warming through their greenhouse gas emissions, and negatively through the accumulation of organic material in histosols, particularly in peatlands. O...
Mar 25, 2017
Gumbricht, T., 2017, "Tropical Wetlands Initiative For Climate Adaption And Mitigation", doi:10.17528/CIFOR/DATA.00057, Center for International Forestry Research (CIFOR) Dataverse, V2
The core of the data set is composed of products from the Moderate-resolution imaging spectroradiometer (MODIS) sensor. A range of pre-defined products derived from the MODIS sensors are available over the internet with free FTP access. All MODIS products are delivered in a pre-d...
Aug 3, 2016
SWAMP, 2016, "Tropical and Subtropical Wetland Distribution", doi:10.17528/CIFOR/DATA.00028, Center for International Forestry Research (CIFOR) Dataverse, V5
This dataset shows a distribution of wetland that covers the tropics and sub tropics (38° N to 56° S; 161° E to 117° W), excluding small islands. It was mapped in 236 meters spatial resolution by combining a hydrological model and annual time series of satellite-derived estimates...
Aug 3, 2016
SWAMP, 2016, "Tropical and Subtropical Histosol Distribution", doi:10.17528/CIFOR/DATA.00029, Center for International Forestry Research (CIFOR) Dataverse, V3
This dataset shows global distribution of histosols that covers the tropics and sub tropics (38° N to 56° S; 161° E to 117° W), excluding small islands. It was mapped in 236 meters spatial resolution by combining a hydrological model and annual time series of satellite-derived es...
May 27, 2016
Sasmito, S.D.; Murdiyarso, D.; Friess, D.A.; Kurnianto, S., 2016, "Replication Data for: Can mangroves keep pace with contemporary sea level rise?", doi:10.17528/CIFOR/DATA.00032, Center for International Forestry Research (CIFOR) Dataverse, V1
Dataset of Can mangroves keep pace with contemporary sea level rise? A global data review
May 10, 2016
Murdiyarso, D.; Purbopuspito, J.; Kauffman, J.B.; Warren, M.W.; Sasmito, S.D.; Donato, D.C.; Manuri, S.; Krisnawati, H.; Taberina, S.; Kurnianto, S., 2016, "The potential of Indonesian mangrove forests for global climate change mitigation", doi:10.17528/CIFOR/DATA.00031, Center for International Forestry Research (CIFOR) Dataverse, V1
Dataset of The potential of Indonesian mangrove forests for global climate change mitigation
May 10, 2016
Nam, V.N.; Sasmito, S.D.; Murdiyarso, D.; Purbopuspito, J.; MacKenzie, R.A., 2016, "Carbon stocks in artificially and naturally regenerated mangrove ecosystems in the Mekong Delta", doi:10.17528/CIFOR/DATA.00030, Center for International Forestry Research (CIFOR) Dataverse, V1
Dataset of Carbon stocks in artificially and naturally regenerated mangrove ecosystems in the Mekong Delta
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