Influence of soil type, cartographic depth-to-water, road reinforcement and traffic intensity on rut formation in logging operations: a survey study in Sweden

Mohtashami, Sima; Eliasson, L.; Jansson, Gunnar; Sonesson, Johan

doi:10.14214/sf.2018

Cited by 35 publications

(27 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the planning can be simplified by maps that indicate the trafficability during more problematic periods where soils are wetter after snowmelt and rains. During extremely wet conditions, almost all soils become wet or moist and are more susceptible to rut formation (Mohtashami et al 2017). Therefore, it is common to find ruts outside the areas marked as ''wet'' in the maps (Fig.…”

Section: Utilized Scales Thresholds and Periods Sourcementioning

confidence: 99%

“…Therefore, it is common to find ruts outside the areas marked as ''wet'' in the maps (Fig. 3b) (Å gren et al 2015;Mohtashami et al 2017). However, forestry operations in the ''dry'' areas on the map (Fig.…”

Section: Utilized Scales Thresholds and Periods Sourcementioning

confidence: 99%

“…However, wet soils also occur on tree covered peatlands (Creed et al 2003) and in the riparian zones of forest streams and surrounding lakes (Gregory et al 1991). Wet soils have lower bearing capacity than dry soils (Cambi et al 2015) and are more susceptible to soil disturbance from land-use management with heavy machinery (Mohtashami et al 2017). Off-road driving with heavy machines can cause wet soils to deform and displace resulting in deeper tracks and larger soil disturbance than on dry soils where shallower tracks are caused by compaction.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape

Lidberg

Nilsson

Ågren

2019

Ambio

View full text Add to dashboard Cite

Comparisons between field data and available maps show that 64% of wet areas in the boreal landscape are missing on current maps. Primarily forested wetlands and wet soils near streams and lakes are missing, making them difficult to manage. One solution is to model missing wet areas from high-resolution digital elevation models, using indices such as topographical wetness index and depth to water. However, when working across large areas with gradients in topography, soils and climate, it is not possible to find one method or one threshold that works everywhere. By using soil moisture data from the National Forest Inventory of Sweden as a training dataset, we show that it is possible to combine information from several indices and thresholds, using machine learners, thereby improving the mapping of wet soils (kappa = 0.65). The new maps can be used to better plan roads and generate riparian buffer zones near surface waters.

show abstract

Section: Utilized Scales Thresholds and Periods Sourcementioning

confidence: 99%

Section: Utilized Scales Thresholds and Periods Sourcementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape

Lidberg

Nilsson

Ågren

2019

Ambio

View full text Add to dashboard Cite

show abstract

“…It is important to follow the growth and development of planted and self‐seeded seedlings as well as the ground and field vegetation at these sites to assess the overall long‐term impacts of off‐road traffic. Skid trails or wheel tracks normally cover about 12 to 30% of the clearcuts (Brais, 2001; Eliasson, 2005; Mohtashami et al, 2017; Solgi and Najafi, 2014), and reduced soil aeration in some parts may be of less importance for the future stand, especially if they are subjected to soil scarification. However, more investigations are needed on these matters.…”

Section: Discussionmentioning

confidence: 99%

Soil Compaction Effects on Root‐Zone Hydrology and Vegetation in Boreal Forest Clearcuts

Hansson

Šimůnek

Ring

et al. 2019

Soil Science Soc of Amer J

View full text Add to dashboard Cite

Core Ideas Impact of forwarding on soil water and vegetation was investigated after 4 to 5 years. Soil water content was highest in wheel tracks and lowest between tracks. Bare soil was more frequent in tracks and between tracks than in undisturbed soil. In wheel tracks, soil aeration may be restricted in periods with high precipitation. Simulated root‐zone pressure heads showed little variation between microsites. Soil compaction is a common consequence of forestry traffic traversing unprotected, moist soils; it decreases porosity and affects hydraulic conductivity even in coarse‐textured soils. The aim here was to study root‐zone hydrology and vegetation in three microsites (in, between, and beside wheel tracks) 4 to 5 yr after forwarder traffic, on stony and sandy till soils in two clearcuts in northern Sweden. Measurements of soil volumetric water content (VWC), vegetation indicators and one‐dimensional hydrological modeling (Hydrus‐1D) of wheel tracks and undisturbed soil were conducted. Soil VWC was monitored hourly during 2017 and 2018 in three or four plots along a slope on each site. Soil VWC was also measured once with a portable sensor in 117 plots along two slopes at each site, where the vegetation was recorded and analyzed using Ellenberg indicator indexes. Soil VWC was highest in wheel tracks and lowest between tracks; this was corroborated by the species composition in the wheel tracks (Ellenberg indicator for soil moisture). Bare soil was more frequent in wheel tracks and between tracks than in undisturbed soil. The model simulations indicated that the changed soil hydraulic properties influenced the VWC results in the wheel tracks. However, the differences in average pressure heads in the root zone were small between the microsites and only apparent during dry periods. In the wheel tracks, air‐filled porosity was <0.10 m3 m−3, indicating insufficient soil aeration during 82% (Site T) and 23% (Site R) of the 2017 growing season. Insufficient aeration could be one explanation for the presence of some still unvegetated areas.

show abstract

“…, Mohtashami et al. ). Forest management increases the transport of water and water‐borne materials, such as sediments and nutrients, to streams because of the ground disturbance and vegetation removal during harvesting as well as the roads and trails built for harvesting operations (Croke and Hairsine , Kreutzweiser et al.…”

Section: Introductionmentioning

confidence: 99%

Forest management influences the effects of streamside wet areas on stream ecosystems

Erdozain

Emilson

Kreutzweiser

et al. 2020

Ecological Applications

View full text Add to dashboard Cite

Riparian zones contain areas of strong hydrological connectivity between land and stream, referred to as variable source areas (VSAs), and are considered biogeochemical control points. However, little is known about whether VSAs influence stream communities and whether this connectivity is affected by forest management. To address this, we used multiple biotic and abiotic indicators to (1) examine the influence of VSAs on riparian vegetation and stream ecosystems by comparing VSA and non-VSA reaches and (2) explore how forest management may affect the influence of VSAs on stream ecosystems. We detected some significant differences between VSA and non-VSA reaches in the riparian vegetation (greater understory and lower tree density) and stream ecosystem indicators (greater dissolved organic matter aromaticity, microbial biomass, peroxidase activity and collector-gatherer density, and lower dissolved organic carbon concentrations, algal biomass, and predatory macroinvertebrate density), which suggests that VSAs may create a more heterotrophic ecosystem locally. However, we show some evidence that forest management activities (specifically, road density) can alter the influence of VSAs and eliminate the differences observed at lower forest management intensities, and that the most hydrologically connected areas seem more sensitive to disturbance. Therefore, we suggest that the heterogeneity in hydrological connectivity along riparian zones should be considered when planning forest harvesting operations and road building (e.g., wider riparian buffers around VSAs).

show abstract

Influence of soil type, cartographic depth-to-water, road reinforcement and traffic intensity on rut formation in logging operations: a survey study in Sweden

Cited by 35 publications

References 25 publications

Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape

Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape

Soil Compaction Effects on Root‐Zone Hydrology and Vegetation in Boreal Forest Clearcuts

Forest management influences the effects of streamside wet areas on stream ecosystems

Contact Info

Product

Resources

About