Combined effects of soil texture and machine operating trail gradient on changes in forest soil physical properties during ground-based skidding

Naghdi, Ramin; Solgi, Ahmad; Labelle, Eric R.; Nikooy, Mehrdad

doi:10.1016/s1002-0160(17)60428-4

Cited by 23 publications

(29 citation statements)

References 39 publications

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“…Terrain-related factors are normally inherent to a harvest site and are thereby difficult to adjust, particularly once operations are on-going. However, despite the reduced possibilities for alterations, factors such as slope [12,23,[28][29][30][31],…”

Section: Terrain-related Factorsmentioning

confidence: 99%

“…Ultimately, these adverse effects can hinder root and tree growth [20], and negatively affect site productivity [21]. The degree and extent of soil compaction and rutting during mechanized logging operations is often influenced by the type and characteristics of the harvesting system, number of machine passes, terrain slope, soil type, texture and water content as well as silvicultural treatments [2,3,22,23].…”

Section: Introductionmentioning

confidence: 99%

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Strategies to Mitigate the Effects of Soil Physical Disturbances Caused by Forest Machinery: a Comprehensive Review

et al. 2022

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Purpose of Review Ground-based mechanized forest operations can cause severe soil disturbances that are often long lasting and detrimental to the health of forested ecosystems. To reduce these soil disturbances, focus is being increasingly directed at identifying and using appropriate mitigation techniques. This systematic review considered 104 scientific articles and reported the main findings according to four core themes: terrain-related factors, operational planning, machine modifications, and types of amendments used to mitigate machine-induced soil impacts. Recent Findings For terrain-related factors, most severe disturbances occur on machine operating trails exceeding 20% slope and that soil bulk density and rut depth show greater increases in fine-textured soils. When considering operational planning, trafficability maps proved to be helpful in reducing the frequency and magnitude of soil damages as well as the length of trails needed within harvest sites, especially if they are regularly updated with weather information. Machine modifications, through high flotation tires, use of extra bogie axle, lower inflation pressure, and use of steel flexibles tracks, are highly researched topics because of the considerable upside in terms of machine ground pressure distribution and increased traction. Two main types of amendments emerged to mitigate soil disturbances: brush mats and mulch cover. Brush mats created from harvesting debris can spread the load of a machine to a greater area thereby lowering peak loads transferred to the soil. Brush mats of 15–20 kg m−2 are being recommended for adequate soil protection from harvesting operations. Summary To conclude, we outline recommendations and strategies on the use of soil mitigation techniques within cut-to-length forest operations. New research opportunities are also identified and discussed. Considering single factors causing machine-induced soil disturbances remains important but there is a pressing need for having a multi-disciplinary approach to tackle the complex problems associated with machine/soil/plant interactions.

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Section: Terrain-related Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Strategies to Mitigate the Effects of Soil Physical Disturbances Caused by Forest Machinery: a Comprehensive Review

et al. 2022

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“…The dependence of soil bulk density values on the particle-size distribution has been reported elsewhere, and the study used soil texture for the online prediction of soil compaction status [20]. Fine texture layers of soil under the mature plantation might cause the particles to be closer to each other, resulting in higher bulk density values than the coarse soil under the young plantation.…”

Section: A Soil Profile Descriptionmentioning

confidence: 95%

Spatiotemporal Variability in Soil Water Content Profiles under Young and Mature Oil Palm Plantations in North Bengkulu Regency

Hermawan¹,

Agustian²,

Hasanudin³

et al. 2021

Int. J. Adv. Sci. Eng. Inf. Technol.

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Soil water content (SWC) profile refers to the vertical distribution of volumetric SWC at a certain depth of soil concerning the plant water availability. The current study aimed to evaluate the vertically spatial distributions and temporal variations in SWC profiles under young and mature oil palm trees during the end period of the rainy season. Twenty couples of sensors were inserted into 5 cm soil depth intervals up to 100 cm. Each sensor pair was connected to the dielectric instrument to measure the electrical impedance (Z, in kÎ©) at each soil layer. The measured Z was then converted to the gravimetric SWC (Î¸g, in g.g-1) using an equation of Î¸g = 0.62.Z-0.2 found in our previous study. The gravimetric SWC data were then multiplied by soil bulk density for corresponding layers to get volumetric SWC (Î¸v, in cm3.cm-3). Results showed that soil water profiles' depths were 40 to 70 mm higher under mature than under young oil palm plantations during six weeks of measurements. The vertical distribution of soil bulk density could be why the spatiotemporal variability in water content profile. Looser layers throughout the young oil palm soil profile might cause a higher proportion of drainage pores and result in less water content compared to the denser layers under the mature oil palm.

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“…Hamed and Khalafallah [56] found similar findings regarding BD values ranged from 1.22 to 1.73 Mg m −3 with a mean of 1.42 Mg m −3 . Obviously, the soil texture had a large influence on the variation of soil bulk density values due to its effects on average pore size and mechanical resistance, as well as the decrease in soil organic matter content in the study area [65]. The infiltration rate (IR) ranged from low to high and was influenced by soil texture [47].…”

Section: Soil Physicochemical Indicators Characterizationmentioning

confidence: 99%

Soil Quality Assessment Using Multivariate Approaches: A Case Study of the Dakhla Oasis Arid Lands

Selmy

Al-Aziz

Jiménez‐Ballesta

et al. 2021

Land

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A precise evaluation of soil quality (SQ) is important for sustainable land use planning. This study was conducted to assess soil quality using multivariate approaches. An assessment of SQ was carried out in an area of Dakhla Oasis using two methods of indicator selection, i.e., total data set (TDS) and minimum data set (MDS), and three soil quality indices (SQIs), i.e., additive quality index (AQI), weighted quality index (WQI), and Nemoro quality index (NQI). Fifty-five soil profiles were dug and samples were collected and analyzed. A total of 16 soil physicochemical parameters were selected for their sensitivity in SQ appraising to represent the TDS. The principal component analysis (PCA) was employed to establish the MDS. Statistical analyses were performed to test the accuracy and validation of each model, as well as to understand the relationship between the used methods and indices. The results of principal component analysis (PCA) showed that soil depth, gravel content, sand fraction, and exchangeable sodium percentage (ESP) were included in the MDS. High positive correlations (r ≥ 0.9) occurred between SQIs calculated using TDS and/or MDS under the three models. Moreover, the findings showed highly significant differences (p < 0.001) among SQIs within and between TDS and MDS. Approximately 80 to 85% of the total study area based on TDS, as well as 70 to 75%, according to MDS, were identified as suitable soils with slight limitations on soil quality grade (Q3, Q2, and Q1), while the remaining 20 to 30% had high to severe limitations (Q4 and Q5). The highest sensitivity (SI = 2.9) occurred by applying WQI using MDS and indicator weights based on the variance of PCA. Furthermore, the highest linear regression value (R2 = 0.88) between TDS and MDS was recorded using the same model. Because of its high sensitivity, such a model could be used for monitoring SQ changes caused by agricultural practices and environmental factors. The findings of this study have significant guiding implications and practical value in assessing the soil quality using TDS and MDS in arid areas critically and accurately.

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Combined effects of soil texture and machine operating trail gradient on changes in forest soil physical properties during ground-based skidding

Cited by 23 publications

References 39 publications

Strategies to Mitigate the Effects of Soil Physical Disturbances Caused by Forest Machinery: a Comprehensive Review

Strategies to Mitigate the Effects of Soil Physical Disturbances Caused by Forest Machinery: a Comprehensive Review

Spatiotemporal Variability in Soil Water Content Profiles under Young and Mature Oil Palm Plantations in North Bengkulu Regency

Soil Quality Assessment Using Multivariate Approaches: A Case Study of the Dakhla Oasis Arid Lands

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