Map of mountain peatlands in Ecuador

Version 1.2

Bourgeau-Chavez, L.; Grelik, S.; Chimner, R.A.; Lilleskov, E.A.; Hribljan, J.A.; Wayson, C.; Serocki, E.; Suarez, E., 2019, "Map of mountain peatlands in Ecuador", https://doi.org/10.17528/CIFOR/DATA.00191, Center for International Forestry Research (CIFOR), V1

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Description	This map shows wetland and peatland type and extent of mountainous regions on Ecuador. Multi-date, multi-sensor radar and optical imagery (Landsat TM/PALSAR/RADARSAT-1/SRTM DEM-TPI) combined with field validation were used to create the classified maps. (2019-05-01)
Keyword	emission reduction, ecological restoration, mitigation, climate change, wetland, peatland, carbon stocks, land cover, maps
Subject	Climate Change, Energy and low carbon development (CCE); Forest Management & Restoration (FMR); Earth and Environmental Sciences
Related Publication	Hribljan, J.A.; Suarez, E.; Bourgeau‐Chavez, L.; Endres, S.; Lilleskov, E.A.; Chimbolema, S.; Wayson, C.; Serocki, E.; Chimner, R.A.. 2017. Multidate, multisensor remote sensing reveals high density of carbon‐rich mountain peatlands in the páramo of Ecuador. Global Change Biology 23(12):5412-25. doi: 10.1111/gcb.13807

	1 File
	Peatland land cover-Paramo-2017.7z 7Z Archive - 0 B - Oct 2, 2019 - 28 Downloads MD5: 8e65a7f6992af0a630121d7ed455a2bf Class Descriptions Agriculture/pasture - Land used for production of food or fiber (corn, potatoes, or other cropland); land use distinguishes agricultural land from similar natural ecosystem types (i.e., wetlands). Barren - Land with limited ability to support life. Contains less than 33% vegetation cover. May include thinly dispersed scrubby vegetation. Includes bare rock, quarries, gravel pits, and transitional areas. Developed - Areas where the manmade structures (buildings, towns, etc.) have >75% coverage. Primarily residential areas where manmade structures (i.e., buildings and farm equipment) are present, with less than or equal to 25% vegetation (trees, shrubs, and grass) interspersed. Cushion Peatland - Poorly drained areas clearly dominated by conspicuous cushion and matt-forming species (Distichia spp., Plantago rigida, Disterigma empetrifolium, and Oreobolus ecuadoriensis). Cushion plants usually <50 cm tall. Grass Peatland - Poorly drained areas structurally dominated by a matrix of grasses (Cortaderia sericantha, Cortaderia nitida, and Festuca spp.). A sparse layer of shrubs (e.g., Loricaria sp, and Hypericum lancioides) and a rich herb layer (e.g., Niphogeton sp., Huperzia spp., Gunnera maguellanica, and Hypochaeris spp.) might be present. Sedge Peatland - Poorly drained areas dominated by a dense matrix of several species of Cyperaceae (e.g., Carex spp., Uncinia, spp., and Eleocharis spp.). A sparse layer of herbs and mosses might be present (e.g., Niphogeton sp. and Gunnera maguellanica,) Shrub - Nonwetland vegetation dominated by true shrubs, immature trees, or stunted growth trees/shrubs (e.g., Polylepis spp., Gynoxys, spp., Buddleja spp., and Baccharis spp.). Characterized by woody vegetation with a height <6 m. Tussock grassland- Nonwetland vegetation (woody or herbaceous) under 2 m in height. A dense matrix of tussock grasses (e.g., Calamagrostis spp. andFestuca spp.), enclosing a rich layer of shrubs (e.g., Pentacalia spp., Diplostephium spp., Hypericum spp., and Gynoxis spp.) and herbs (Gentianella spp., Senecio spp., Huperzia spp., and Oritophium peruvianum). Water - Streams, canals, rivers, lakes, reservoirs, and impoundments. Areas persistently inundated by water that do not typically showannual drying out or vegetation growth at or above the water’s surface. Depth of water column is >2 m, such that light attenuation increases significantly and surface and subsurface aquatic vegetation persistence declines or is less detectable. Snow - Land covered by snow Data	Download

Citation Metadata

Dataset Persistent ID	doi:10.17528/CIFOR/DATA.00191
Publication Date	2019-10-02
Title	Map of mountain peatlands in Ecuador
Author	Bourgeau-Chavez, L. (Michigan Tech Research Institute) Grelik, S. (Michigan Tech Research Institute) Chimner, R.A. (Michigan Technological University) Lilleskov, E.A. (U.S. Forest Service) Hribljan, J.A. (Michigan Technological University) Wayson, C. (U.S. Forest Service) Serocki, E. (Michigan Tech Research Institute) Suarez, E. (Universidad San Francisco de Quito)
Contact	Use email button above to contact. Bourgeau-Chavez, Laura (Michigan Tech Research Institute) Lilleskov, Erik A. (USDA Forest Service Northern Research Station)
Description	This map shows wetland and peatland type and extent of mountainous regions on Ecuador. Multi-date, multi-sensor radar and optical imagery (Landsat TM/PALSAR/RADARSAT-1/SRTM DEM-TPI) combined with field validation were used to create the classified maps. (2019-05-01)
Subject	Climate Change, Energy and low carbon development (CCE); Forest Management & Restoration (FMR); Earth and Environmental Sciences
Keyword	emission reduction (GACS) http://aims.fao.org/aos/agrovoc/c_331597 ecological restoration (GACS) http://browser.agrisemantics.org/gacs/en/page/C11532 mitigation (GACS) http://id.agrisemantics.org/gacs/C3154 climate change (GACS) http://id.agrisemantics.org/gacs/C1200 wetland (GACS) http://id.agrisemantics.org/gacs/C2282 peatland (GACS) http://id.agrisemantics.org/gacs/C10734 carbon stocks (GACS) http://id.agrisemantics.org/gacs/C12978 land cover (GACS) http://id.agrisemantics.org/gacs/C14370 maps (GACS) http://id.agrisemantics.org/gacs/C4907
Topic Classification	Climate change
Related Publication	Hribljan, J.A.; Suarez, E.; Bourgeau‐Chavez, L.; Endres, S.; Lilleskov, E.A.; Chimbolema, S.; Wayson, C.; Serocki, E.; Chimner, R.A.. 2017. Multidate, multisensor remote sensing reveals high density of carbon‐rich mountain peatlands in the páramo of Ecuador. Global Change Biology 23(12):5412-25. doi: 10.1111/gcb.13807 https://doi.org/10.1111/gcb.13807
Language	English
Producer	Michigan Tech Research Institute (Michigan Technological University) (MTRI) http://www.mtri.org
Grant Information	USAID NSF Dynamics of Coupled Natural and Human Systems: 1617429
Distributor	Center for International Forestry Research (CIFOR) https://www.cifor.org/
Depositor	Admin, Dataverse
Deposit Date	2019-09-30
Kind of Data	survey data; assesment data; experimental data; measurement data; numeric data; observation data
Software	-

Geospatial Metadata

Geographic Coverage	Ecuador Pichincha Ecuador Cotopaxi Ecuador Napo
Geographic Unit	Degree
Geographic Bounding Box	-78.64 -78.00 0.17 -0.83

Administrative Information Metadata

Physical Media Type	hard disk
Physical Media Location	Michigan Tech Research Institute

Overview of the research

Research Area Focus	Research was focused on wetlands and peatlands in mountainous regions of Ecuador.
Intended Audiences	Resource managers, ecologists, biologists, wetland scientists
Value of The Data	These maps will serve as the foundation for improved management, including restoration, and estimates of landscape carbon stocks.
Project Information	SWAMP
Project Description	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). Wetlands are abundant and important components of many mountain ecosystems across the globe. They provide many benefits including water storage, high quality habitat, pasture, nutrient sinks and transformations, and carbon storage. The remote and rugged setting of mountain wetlands creates challenges for mapping, typically leading to misclassification and underestimates of wetland extent. We used multi-date, multi-sensor radar and optical imagery and field validation to map wetlands in Peruvian and Ecuadorian highlands.
Research Program	CGIAR Research Program on Forests, Trees and Agroforestry (ForestsTreesAgroforestry)
CRP Flagship	Flagship 5: Forests, trees and agroforestry for climate change adaptation and mitigation
Program Priority	Biodiversity, safeguarding and conservation; Blue carbon and peatlands; Restoration
Quality Statement	Accuracy assessments were conducted by grouping polygons representing different land cover classes derived from field validation and air photo interpretation. All polygons that were derived from field visits were reserved for validation while additional polygons interpreted from aerial imagery were reserved in order to create an 80%/20% split between training and validation data. Overall accuracy of the Peru map is 92%. Overall accuracy of the Ecuador map is 90%.

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