Modeling the suitability of wetland restoration potential at the watershed scale |
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| Affiliation: | 1. Division of Surface Water, Ohio Environmental Protection Agency, Columbus, OH 43216-1049, USA;2. Department of Geography, The Ohio State University, USA;3. Department of Biology, Kenyon College, Gambier, OH 43022, USA;1. Aarhus University, Department of Environmental Science;2. Aarhus University, Department of Bioscience;1. Aarhus University, Foulum, Department of Agroecology, Blichers Allé 20, P.O. Box 50, DK-8830 Tjele, Denmark;2. Aarhus University, Department of Bioscience, Ny Munkegade 116, DK-8000 Aarhus C, Denmark;1. Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, PR China;2. Research Center of Marine Ecology, First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, PR China;1. Department of Biology and Natural Sciences, Northern Virginia Community College, Annandale, VA 22003, United States;2. Department of Environmental Science and Policy, George Mason University, Fairfax, VA 22030, United States;1. Department of Environmental Engineering – São Paulo State University, Campus Sorocaba, 511 Três de Março Avenue, Sorocaba, SP 18087-180, Brazil;2. Department of Environmental Sciences – Federal University of São Carlos, Campus Sorocaba, Rodovia João Leme dos Santos (SP-264), Km 110, Sorocaba, SP 18052-780, Brazil;3. Department of Forestry and Natural Resources – Purdue University, 195 Marsteller Street, West Lafayette, IN 47907-2033, USA;4. Department of Geosciences – Mississippi State University, 108 Hilbun Hall, Starkville, MS 39762-5448, USA;1. Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;2. State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Institute for Peat and Mire Research, Northeast Normal University, Changchun 130024, China;3. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | Despite the fact that landscape level processes dominate wetland ecosystem development and sustainability, restoration decisions (including those for compensatory mitigation) are typically made on a project-by-project basis. Watershed planning designed to strategically restore wetlands has the potential to provide dramatic benefits by restoring ecosystem-level processes (functions) that maintain water resource integrity. We developed a GIS-based model to predict the suitability for wetland restoration for all locations in the Cuyahoga River watershed (2107 km2), in northeastern Ohio (U.S.A.). The model offers a useful tool to focus and set goals for wetland restoration efforts in a spatially explicit way. A two-phase approach was used: the first is to develop criteria, or environmental indicators, to identify the total population of sites suitable for wetland restoration. Locations are identified where restoration has a high likelihood of success and will be sustainable over the long term. Criteria used include hydric soils, land use, topography, stream order, and a saturation index based on slope and flow accumulation in each grid cell in the model. The second phase “filters” the total population of available sites in order to prioritize them according to their potential to contribute to water resource integrity once restored. We generated three versions of the suitability model depicting restoration potential. All versions rely on the same criteria but vary in how the factors were weighted or the hydrology criterion was calculated. |
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