Implementation of Forestry Best Management Practices and Sediment Delivery in Three Regions of North Carolina and Virginia

Author:

Hawks Brent S1ORCID,Bolding M Chad1ORCID,Aust W Michael1,Barrett Scott M1,Schilling Erik2ORCID,Horton Celeste N3

Affiliation:

1. Department of Forest Resources and Environmental Conservation, Virginia Tech, 228 Cheatham Hall, 310 West Campus Drive, Blacksburg, VA 24061, USA

2. National Council for Air and Stream Improvement, Inc., 104 East Bruce Street, Aubrey, TX 76227, USA

3. Virginia Department of Environmental Quality—Valley Regional Office, 4411 Early Road, Harrisonburg, VA 22801, USA

Abstract

Abstract Forestry best management practices (BMPs) were created in response to the Clean Water Act of 1972 to protect water quality from nonpoint source pollutants such as sediment. The objectives of this study were to quantify the relationship between BMP implementation and sediment delivery on 58 recently harvested sites across three physiographic regions and five forest operational features. BMP implementation rates, erosion rates, sediment delivery ratios, and sediment masses were calculated at 183 silt fences functioning as sediment traps adjacent to streams in Virginia and North Carolina. Major access system features, including stream crossings, skid trails, and haul roads, typically delivered the greatest sediment mass to streams and had the highest sediment delivery ratios on a per feature basis. When accounting for sediment mass delivered and area in each feature, harvest area accounted for approximately 70% of sediment delivered to streams for all regions. Most features had proportionally higher erosion rates than sediment masses collected at silt fences, indicating that most erosion generated by forest operations is being trapped by either harvest areas or streamside management zones. For most features and regions, as BMP implementation increased, erosion rates and the sediment masses delivered to streams decreased.

Publisher

Oxford University Press (OUP)

Subject

Ecological Modeling,Ecology,Forestry

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