Evaluating Forest Road Management Practices for Reducing Sediment Production and Transport From Forested Watersheds

2013 ◽  
Author(s):  
T.W Appelboom ◽  
G.M. Chescheir ◽  
R.W. Skaggs ◽  
D.L. Hesterberg
Keyword(s):  
Management Practices ◽  
Forested Watersheds ◽  
Forest Road ◽  
Sediment Production ◽  
Road Management

The Assessment of Sediment Production Yield from Forest Road Using Sediment Prediction Model

2008 ◽  
Vol 8 (10) ◽  
pp. 1944-1949 ◽  
Author(s):  
Hossein Khalilpoor ◽  
Seyed Ataollah Hosseini ◽  
Majid Lotfalian ◽  
Yahya Kooch
Keyword(s):  
Prediction Model ◽  
Production Yield ◽  
Forest Road ◽  
Sediment Production

Locally Available Aggregate and Sediment Production

2003 ◽  
Vol 1819 (1) ◽  
pp. 185-193 ◽  
Author(s):  
Randy B. Foltz ◽  
Mark Truebe
Keyword(s):  
Road Construction ◽  
Forest Road ◽  
Sediment Production ◽  
Magnitude Range ◽  
Long Duration ◽  
Order Of Magnitude ◽  
Equivalent Test ◽  
Basic Characteristics ◽  
Material Tests ◽  
Selection Of

Selection of suitable locally available materials to build strong and durable roads with aggregate surfaces is desired to minimize road construction and maintenance costs and to minimize the detrimental effects of sedimentation. Eighteen aggregates were selected from local sources in Idaho, Oregon, South Dakota, and Washington State. Aggregate was placed in shallow metal frames and compacted to simulate a forest road. The levels of runoff and sediment from a highintensity, long-duration simulated rainstorm were measured. The material tests selected for use in the study included ones that define the basic characteristics of the aggregate, along with a number of tests intended to predict susceptibility to erosion. Each of the tests was statistically evaluated to identify those that best predicted the perceived aggregate quality. The two best indicators of aggregate quality were the results of the sand equivalent test and the P20 portion of the Oregon air degradation test. The best indicator of either runoff or sediment production was the fraction passing the 0.6-mm sieve. Acceptable aggregates, both those of good quality and those of marginal quality, exhibited a 2-order-of-magnitude range in both runoff and sediment production.

Forest Road Management to Protect Soil and Water

2006 ◽  
Author(s):  
J McFero Grace ◽  
Barton D Clinton
Keyword(s):  
Forest Road ◽  
Road Management ◽  
Soil And Water

scholarly journals AUTOMATIC DETECTION OF FOREST-ROAD DISTANCES TO IMPROVE CLEARING OPERATIONS IN ROAD MANAGEMENT

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1083-1088 ◽  
Author(s):  
A. Novo ◽  
H. González-Jorge ◽  
J. Martínez-Sánchez ◽  
L. M. González-de Santos ◽  
H. Lorenzo
Keyword(s):  
Forest Management ◽  
Forest Fires ◽  
Sustainable Forest Management ◽  
Lidar Data ◽  
Escape Route ◽  
Forest Road ◽  
The Road ◽  
Complex Relation ◽  
Road Management ◽  
Management Optimization

<p><strong>Abstract.</strong> There is a complex relation between roads and fires. Several major wildfires were ignited near to roads (Morrison 2007) and how they progressed is an important role to understand the importance to forest management in this environment. Nowadays, a sustainable forest management is necessary both for environment and politics. One of the reasons of road management is that these infrastructures provide an effective firewall in case of forest fires and an escape route for the population. Forest management optimization in road surroundings would improve wildfires prevention and mitigate their effects. One of the main indicators of road safety is the distance between road and vegetation.</p><p>The aim of this work is to develop a methodology to determine what areas do not obey current laws about safety distances between forest and roads. The acquisition of LiDAR data is done by Lynx Mobile Mapper System from University of Vigo. The methodology is automated using LiDAR data processing. The developed algorithms are based in height and length segmentation of the road. The objective is classifying vegetation groups by height and calculate the distance to the edges of road. The vegetation is divided in groups of height of 5, 10, 15 and 30&amp;thinsp;m. The minimum distance calculation is 2&amp;thinsp;m, for the vegetation of 5&amp;thinsp;m height and a maximum of 60&amp;thinsp;m for vegetation 30&amp;thinsp;m height. The height of vegetation has a directly relation with the distance separation with the road.</p>

Applying Best Management Practices on Florida's Forestlands

1979 ◽  
Vol 3 (2) ◽  
pp. 43-47
Author(s):  
John G. Greis
Keyword(s):  
Forest Management ◽  
Best Management Practices ◽  
Management Practices ◽  
Effective Means ◽  
Federal State ◽  
Best Management ◽  
Sediment Production ◽  
Voluntary Compliance ◽  
Technical Advisory Committee ◽  
Potential Pollution

Abstract In 1976 Florida's Department of Environmental Regulation appointed a Technical Advisory Committee to identify best management practices (BMP's) to prevent nonpoint pollution from forest management activities. The committee has completed an assessment of silviculture-related sediment production, which pointed to access roads as the most serious potential pollution hazard, and has developed a systematic technique of rating inherent site sensitivity to forest management activities. A public education program utilizing federal, state, and industrial resources and stressing voluntary compliance, is envisioned as the most effective means of attaining substantial compliance with the program.

scholarly journals Changes in Soil’s Chemical and Biochemical Properties Induced by Road Geometry in the Hyrcanian Temperate Forests

Forests ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1805
Author(s):  
Saeid Rahbarisisakht ◽  
Mohammad Hadi Moayeri ◽  
Elyas Hayati ◽  
Seyed Mohammad Moein Sadeghi ◽  
Sebastian Kepfer-Rojas ◽  
...  
Keyword(s):  
Best Management Practices ◽  
Management Practices ◽  
Soil Depth ◽  
Piecewise Linear ◽  
Linear Regression Analysis ◽  
Biochemical Properties ◽  
Strong Positive Correlation ◽  
Forest Roads ◽  
Forest Road ◽  
Road Geometry

Forest roads play an important role in providing access to forest resources. However, they can significantly impact the adjacent soil and vegetation. This study aimed to evaluate the effects of road geometry (RG) on the chemical and biochemical properties of adjacent soils to assist in environmentally friendly forest road planning in mountainous areas. Litter layer, canopy cover, soil organic carbon (SOC) stock, total nitrogen (TN), the activity of dehydrogenase (DHA), and urease (UA) enzymes at a 0–20 cm soil depth were measured by sampling at various distances from the road edge to 100 m into the forest interior. The measurements were done for three road geometries (RG), namely straight, curved, and bent roads, to ensure data heterogeneity and to reflect the main geometric features of the forest roads. Analysis of variance (ANOVA) showed that the effects of RG on the measured variables were statistically significant. Spearman’s correlation test clearly showed a strong positive correlation between environmental conditions, SOC, TN, DHA, and UA for given RGs. Based on piecewise linear regression analysis, the down slope direction of the straight and the inside direction of bent roads accounted for the lowest and highest ranges of ecological effects, respectively. The results of this study contribute to our understanding of the environmental effects brought about by road geometry, which can be important for forest road managers when applying the best management practices.

Protecting Soil and Water in Forest Road Management

2007 ◽  
Vol 50 (5) ◽  
pp. 1579-1584 ◽  
Author(s):  
J. M. Grace III ◽  
B. D. Clinton
Keyword(s):  
Forest Road ◽  
Road Management ◽  
Soil And Water
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