Dataset Persistent ID
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doi:10.17528/CIFOR/DATA.00028 |
Publication Date
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2016-05-09 |
Title
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Tropical and Subtropical Wetland Distribution
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Alternative URL
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https://www.cifor.org/global-wetlands/
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Author
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SWAMP (Center for International Forestry Research (CIFOR))
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Contact
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Use email button above to contact.
CIFOR-RDM (Center for International Forestry Research (CIFOR))
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Description
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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 of soil moisture to represent water flow and surface wetness that are then combined with geomorphological data. (2011)
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Subject
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Climate Change, Energy and low carbon development (CCE); Forest Management & Restoration (FMR)
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Keyword
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mangroves (GACS Vocabulary) http://browser.agrisemantics.org/agrovoc/en/page/c_16190
wetlands (GACS Vocabulary) http://browser.agrisemantics.org/gacs/en/page/C2282
climate change (GACS Vocabulary) http://browser.agrisemantics.org/gacs/en/page/C1200
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Related Publication
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Gumbricht, T. 2012. Mapping global tropical wetlands from earth observing satellite imagery. Working Paper 103. Center for International Forestry Research, Bogor. url: http://www.cifor.org/library/4014/mapping-global-tropical-wetlands-from-earth-observing-satellite-imagery/
Gumbricht T (2015) Hybrid mapping of pantropical wetlands from optical satellite images, hydrology and geomorphology. In: Remote Sensing of Wetlands: Applications and Advances. (eds Ralph W. Tiner, Megan W. Lang, Victor V. Klemas), pp 433-452. CRP Press. Taylor and Francis Group. Boca Raton, Florida.
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Notes
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Process information Compared to previous mapping efforts (e.g. remotely sensed through inundation patters or vegetation cover, or analytically derived through a hydrological model) our method incorporates a higher level of complexity by developing three biophysical indices that capture three key properties of wetlands: 1. The need for sufficient water supply for a long-enough time period; 2. The need for water logged soils; 3. The need for a geomorphological position where water can be supplied and retained. Our method draws on the conclusion that combining different data sources is the best approach for mapping wetlands (Bwangoy et al., 2010), and includes observational data for climate, geomorphology and phenological responses.
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Language
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English
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Producer
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Center for International Forestry Research (CIFOR) (http://www.cifor.org/) (CIFOR) 
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Grant Information
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United States Agency for International Development (USAID): EEM-G-00-04-00010-0O
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Distributor
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Center for International Forestry Research (CIFOR) http://www.cifor.org 
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Distribution Date
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2016
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Depositor
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Muchlish, Usman
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Deposit Date
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2016-05-09
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Kind of Data
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aggregate data; survey data; spatial data
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Software
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-
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Related Datasets
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SWAMP, 2016, "Tropical and Subtropical Histosol Distribution", doi:10.17528/CIFOR/DATA.00029, Center for International Forestry Research (CIFOR) Dataverse, V3; Kurnianto, S.; Murdiyarso, D., 2016, "Forest carbon database", doi:10.17528/CIFOR/DATA.00033, Center for International Forestry Research (CIFOR) Dataverse, DRAFT VERSION; Sasmito, S.D.; Murdiyarso, D.; Friess, D.A.; Kurnianto, S., 2016, "Replication Data for: Can mangroves keep pace with contemporary sea level rise? A global data review", doi:10.17528/CIFOR/DATA.00032, Center for International Forestry Research (CIFOR) Dataverse, V1; 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; 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
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