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Project SWAMP

DU GIS mapping tool for conservation planning in the Mississippi Alluvial Valley
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The Siting Wetlands in the Alluvial Mississippi Plain (SWAMP) Decision Support System and many of its component datasets as accessible on the following page were funded in large part by the USDA Forest Service for the Restoring the Delta Large-scale Watershed Restoration Program.

The information accessible through this system is unsuited for, and shall not be used for, any regulatory purpose of action, nor shall any component thereof be the basis for any determination relating to impact assessment or mitigation. The data contained herein were developed solely for regional conservation planning purposes. Any use of this Information is to be made at the sole risk of the user(s).

Any user who wishes to include results derived from this system in publication or presentation must first acquire consent from Ducks Unlimited and must credit Ducks Unlimited and the USDA Forest Service as the source. For additional information about the system, data, or component projects, please contact us.

Background

The Mississippi Alluvial Valley, the largest floodplain in North America, and one if its most biologically diverse ecoregions, has experienced extensive ecological degradation over the last century. Currently, the MAV is the focus of significant restoration efforts from various sectors, including governmental, non-profit, and private. Ducks Unlimited, the world's leading wetland conservation organization has developed a set of powerful tools packaged within the Siting Wetlands in the Alluvial Mississippi Plain (SWAMP) Decision Support System for conservation planning within the MAV. SWAMP represents the culmination of a suite of ecological and conservation datasets, outlined below, that were developed through the efforts of numerous regional conservation partners.

Flood probability

Flood probabilityHydrologic functionality stands as likely the single most important factor in the ecological integrity of wetland ecosystems, with bottomland hardwood systems not withstanding. The Flood Probability Dataset, jointly funded by DU and the USDA Forest Service with contributions from the LMVJV office, meets the critical need for accurate data of natural hydrology, specifically flood regimes, for prioritizing wetland restoration sites within the MAV. The dataset represents relative flooding frequency for the stream network of the MAV and was created through an analysis of stream gage data archives and Landsat satellite imagery.

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