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Articles

Characteristics, predicted erosion, and costs for different levels of forestry best management practices at skidder and truck stream crossings in the Mountains, Piedmont, and Coastal Plains of Virginia, USA

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Pages 76-86 | Received 06 Aug 2018, Accepted 13 Sep 2018, Published online: 10 Oct 2018
 

ABSTRACT

Operational stream crossings on forest roads and skid trails are potential sediment delivery areas from timber harvests that can negatively affect water quality if best management practices (BMPs) are not sufficiently implemented. Virginia has three major physiographic regions (Mountains, Piedmont, Coastal Plain), and the diverse topographies require some specificity of BMP guidelines for water quality protection. Furthermore, truck roads and skid trails utilize different drainage and erosion control BMPs to maintain sufficient working conditions and access to timber. As a result, differing BMP approaches and implementation levels for roads and trails inherently have different associated costs. We evaluated BMP implementation levels on 154 stream crossing approaches (3 regions × 2 road types × a minimum of 25 stream crossings). We categorized the crossings as BMP− (failed to meet recommended BMPs), BMP-standard (met recommended guidelines), or BMP+ (exceeded recommended guidelines). We estimated hypothetical costs for elevating BMP− stream crossings to BMP-standard and BMP+ and costs of elevating BMP-standard to BMP+. Average BMP implementation audit scores for stream crossings were 88% on skid trails and 82% on truck roads. To upgrade from a BMP− to BMP-standard, the cost-benefit ratio ($/Mg of sediment prevented) averaged $248.58/Mg for skid trails and $670.33/Mg for truck roads. Enhancement from BMP-standard to BMP+ level is less economically efficient and BMP implementation efficacy at stream crossings appears to plateau at the BMP-standard level.

Acknowledgments

Funds and logistical support were provided by the USDA National Institute of Food and Agriculture McIntire-Stennis Program, the National Council for Air and Stream Improvement (NCASI), the Virginia Tech Forest Operations and Business Research Cooperative, the Virginia Department of Forestry, and Virginia Tech College of Natural Resources and Environment, Department of Forest Resources and Environmental Conservation. We also thank the dozens of landowners who so generously allowed use of their property.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This project was funded and supported through the National Council for Air and Stream Improvement, Inc. (NCASI), the USDA National Institute of Food and Agriculture McIntire-Stennis Program, the Virginia Tech Forest Operations and Business Research Cooperative, and Virginia Tech College of Natural Resources and Environment, Department of Forest Resources and Environmental Conservation. The project received tremendous logistical support from the Virginia Department of Forestry. We also wish to acknowledge the generous access permitted by dozens of forestland owners across the state.

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