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A New Modeling Approach To Prioritize Riparian Restoration To Reduce Sediment Loading in Two Virginia River Basins

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dc.contributor.authorScott, Lisa N.en
dc.contributor.authorVillamagna, Amy M.en
dc.contributor.authorAngermeier, Paul L.en
dc.contributor.departmentFish and Wildlife Conservationen
dc.coverage.countryUnited Statesen
dc.coverage.stateVirginiaen
dc.date.accessioned2020-07-06T14:11:32Zen
dc.date.available2020-07-06T14:11:32Zen
dc.date.issued2018-10en
dc.description.abstractHuman impact, particularly land cover changes (e.g., agriculture, construction) increase erosion and sediment loading into streams. Benthic species are negatively affected by silt deposition that coats and embeds stream substrate. Given that riparian buffers are effective sediment filters, riparian restoration is increasingly implemented by conservation groups to protect stream habitats. Limited funding and a multitude of impaired streams warrant the need for cost-effective prioritization of potential restoration actions. We created a decision-support framework for conservation agencies and aquatic resource managers to prioritize riparian restoration efforts. Our framework integrates GIS data and field surveys into a statistical model to predict instream silt from estimates of upland soil loss and riparian filtration capacity. We focus specifically on prioritizing sites in upper sections of the Roanoke and Nottoway river basins (Virginia, US) based on observed records of Roanoke logperch (Percina rex), an imperiled sediment-sensitive species. Our statistical approach examines soil characteristics, land cover, precipitation, topography, and annual soil loss estimates from the empirically derived Revised Universal Soil Loss Equation, combined with land cover-based riparian filtration capacity as potential stream habitat predictors. We found riparian filtration capacity to be a significant predictor of silt cover, while precipitation was a significant predictor of embeddedness. Spatial scale was also a factor, in that spatial variance in silt cover and embeddedness was more accurately predicted at smaller spatial extents. Ultimately, our model can be used as a prioritization tool for mitigating high siltation areas, or for protecting low soil erosion areas.en
dc.description.adminPublic domain – authored by a U.S. government employeeen
dc.description.notesThis project was supported by the Center for the Environment at Plymouth State University and the VDGIF. We thank Zachary Martin from the Department of Fish and Wildlife Conservation at Virginia Tech for largely developing field methodology and surveying stream sites. We also thank undergraduate students that participated in field data collection. We thank Mark Green and two anonymous reviewers for helpful comments on the manuscript. The Virginia Cooperative Fish and Wildlife Research Unit is jointly sponsored by the U.S. Geological Survey, Virginia Polytechnic Institute and State University, VDGIF, and Wildlife Management Institute. Use of trade, firm, or product names does not imply endorsement by the U.S. Government.en
dc.description.sponsorshipCenter for the Environment at Plymouth State University; VDGIF; U.S. Geological SurveyUnited States Geological Survey; Virginia Polytechnic Institute and State University; Wildlife Management Instituteen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1007/s00267-018-1078-6en
dc.identifier.eissn1432-1009en
dc.identifier.issn0364-152Xen
dc.identifier.issue4en
dc.identifier.pmid30116856en
dc.identifier.urihttp://hdl.handle.net/10919/99269en
dc.identifier.volume62en
dc.language.isoenen
dc.rightsCreative Commons CC0 1.0 Universal Public Domain Dedicationen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.subjectDecision support systemsen
dc.subjectSediment modelen
dc.subjectSoil erosionen
dc.subjectRiparian filtrationen
dc.subjectRUSLEen
dc.titleA New Modeling Approach To Prioritize Riparian Restoration To Reduce Sediment Loading in Two Virginia River Basinsen
dc.title.serialEnvironmental Managementen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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