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Use of Hydrological Models to Predict Risk for Rutting in Logging Operations

Mohtashami, Sima and Thierfelder, Tomas and Eliasson, Lars and Lindstrom, Goran and Sonesson, Johan (2022). Use of Hydrological Models to Predict Risk for Rutting in Logging Operations. Forests. 13 :6 , 901
[Research article]

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Abstract

Using hydrological models with a high temporal resolution to predict risk for rutting may be a possible method to improve planning of forwarder trails or to schedule logging operations in sites with low bearing capacity to periods when soil moisture content is at a minimum. We have studied whether descriptions of rut variations, collected in 27 logging sites, can be improved by using hydrological data, modeled by Swedish HYdrological Prediction for Environment (S-HYPE). Other explanatory variables, such as field-surveyed data and spatial data, were also used to describe rut variations within and across logging sites. The results indicated that inclusion of S-HYPE data led to only marginal improvement in explaining the observed variations of the ruts in terms of both "rut depths" within the logging sites and "proportion of forwarder trails with ruts" across the logging sites. However, application of S-HYPE data for adapting depth-to-water (DTW) maps to temporal changes of soil moisture content may be a way to develop more dynamic soil moisture maps for forestry applications.

Authors/Creators:Mohtashami, Sima and Thierfelder, Tomas and Eliasson, Lars and Lindstrom, Goran and Sonesson, Johan
Title:Use of Hydrological Models to Predict Risk for Rutting in Logging Operations
Series Name/Journal:Forests
Year of publishing :2022
Volume:13
Number:6
Article number:901
Number of Pages:14
ISSN:1999-4907
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:rut formation, forestry operations, hydrological data
URN:NBN:urn:nbn:se:slu:epsilon-p-117441
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-117441
Additional ID:
Type of IDID
DOIhttps://doi.org/10.3390/f13060901
Web of Science (WoS)000818256400001
ID Code:28673
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Energy and Technology
Deposited By: SLUpub Connector
Deposited On:30 Aug 2022 14:19
Metadata Last Modified:30 Aug 2022 14:21

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