Digital mapping of soil erodibility factors based on decision tree using geostatistical approaches in terrestrial ecosystem

Alaboz, Pelin; Dengi̇z, Orhan; Demir, Sinan; Şenol, Hüseyin

doi:10.1016/j.catena.2021.105634

Cited by 30 publications

(7 citation statements)

References 45 publications

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“…As discussed in the previous section, historical land use had a legacy effect on soil quality parameters, several of which reportedly may control soil erodibility (Victoria et al, 2001;Taleshian Jeloudar et al, 2018;Alaboz et al, 2021). However, the soil loss data of the present study do not support a corresponding effect of historical land use on soil erosion.…”

Section: Historical Land Use and Current Soil Erosioncontrasting

confidence: 52%

Soil Use Legacy as Driving Factor for Soil Erosion under Conservation Agriculture

Grahmann

Rubio

Perez‐Bidegain

et al. 2022

Front. Environ. Sci.

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Water erosion can cause irreversible depletions in soil quality and crop productivity. The susceptibility of the soil to erosion is affected by current and historical management practices. Historical soil management practices like ploughing or subsoil loosening may lead to irreversible degradations of soils, which in turn increases soil erosion risk. Six “Wischmeier” plots under conservation agriculture, but with different historic treatments regarding soil use and management, were evaluated. These plots were installed in 1984 in Colonia del Sacramento, Uruguay on a Vertic Argiudoll. The objective of this study was to quantify how changes in soil quality, generated by different historical soil use and management over the last 35 years, contribute to current runoff and soil erosion in a cropping system under soil conservation practices using no-till, residue retention and cover crops. Considering differences in soil legacy effects of previous land use, plots were grouped in three treatments with contrasting historic index of agricultural intensification (IAI). The IAI was developed combining the duration of land use under agricultural production and the number and intensity of tillage activity resulting in the treatments: tillage with crop-pasture rotation (TIL_CP), no-tillage under several rotations (NT_Mix) and tillage with continuous cropping (TIL_CROP) with an increasing IAI of 3.5, 7.1 and 11.8, respectively. Rainfall events, runoff water and total, fixed and volatile solids were studied from 2017 to 2019. Soil physical (bulk density, penetration resistance, infiltration rate, aggregate stability), chemical (soil organic carbon (SOC), pH, phosphorous (P-Bray)) and biological properties (particulate organic matter (POM), potentially mineralizable nitrogen (PMN)) were assessed in 2019. Yearly average runoff amounted 209, 579 and 320 mm in 2017, 2018 and 2019, respectively. Yearly average soil losses were 233, 805 and 139 kg/ha with significant differences among years. The lowest soil losses were observed in TIL_CP (231, 615 and 146 kg/ha in 2017, 2018 and 2019, respectively) with lowest IAI of 3.5. Infiltration rate was the lowest in plots with highest IAI. Soil bulk density was highest (1.3 g/cm3) in plots with high IAI. SOC and PMN were lowest in TIL_CROP (3.0% SOC and 34 mg/kg PMN), holding the highest IAI of 11.8. Conservation agriculture minimized soil erosion losses in all plots and years, and erosion was much lower than the maximum tolerable threshold of 7,000 kg/ha for this particular soil. However, in historically intensively tilled and cropped soils, soil quality showed long-term adverse effects pointing towards a reduced resilience of the agricultural system.

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Section: Historical Land Use and Current Soil Erosioncontrasting

confidence: 52%

Soil Use Legacy as Driving Factor for Soil Erosion under Conservation Agriculture

Grahmann

Rubio

Perez‐Bidegain

et al. 2022

Front. Environ. Sci.

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“…Values between 1 and 4 depend on the sensitivity of that parameter to erosion (Table 2). These class ranges were determined by using the researches in the literature (Chaudhri et al, 1976;Aşkın et al, 2016;Saygın et al, 2019;Alaboz et al, 2021). IGGE 202247: 258-279 The data set consisting of the values divided into classes was used as input in the ANN.…”

Section: Research Methods and Techniquesmentioning

confidence: 99%

Determination of erosion susceptibilities of soils formed on the periglacial landforms of mount Ilgar and its estimation using artificial neural network (ANN)

Dede

Dengi̇z

Turan

et al. 2022

Lnternational Journal of Geography and Geography Education

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Periglasyal şekiller, geçmiş dönem iklim koşullarına bağlı olarak gelişen ve günümüz iklim koşulları altında da devinim gösteren oluşumlardır. Bu şekiller, Dünya’nın yüksek enlemlerinin yanı sıra alçak enlemlerinin yüksek dağlık alanlarında da yayılış göstermektedir. Kuzeydoğu Anadolu’da, Küçük Kafkaslar (4090 m) üzerinde yer alan Ilgar Dağı (2918 m)’da söz konusu periglasyal şekillerin dağılış gösterdiği önemli noktalar arasındadır. Tipik bir volkan konisi görünümünde olan Ilgar Dağı’nın jeolojisini, temelde Üst Miosen ve Alt Pliosen yaşlı bazalt, tüf ve aglomera oluştururken, zirveler bölümünü ise Pleistosen yaşlı andezitler meydana getirmektedir. Ilgar Dağı’nın Öküzkoku ve Mısıkan adlı parazit konilerinin yamaçlarında girland, çember ve taş kümelerinden oluşan periglasyal şekiller görülmektedir. Bu çalışmada, (1) Ilgar Dağı periglasyal şekilleri üzerinde gelişen toprakların fiziko-kimyasal özelliklerinin belirlenmesi ve (2) bazı erozyon duyarlılık parametrelerinin (Strüktür stabilite indeksi-SSI, dispersiyon oranı-DO ve kabuk oluşumu-CF) tahmin edilmesi amaçlanmıştır. Bu amaçla sahadan alınan 25 adet örneklem verisi analiz edilerek toprakların fiziko-kimyasal özellikleri saptanmıştır. Söz konusu toprak özellikleri girdi olarak kullanılarak, erozyon duyarlılık parametreleri (CF, DO, SSI) yapay sinir ağı (YSA) ile tahmin edilmiştir. Bulgular, toprakların organik madde içeriklerinin yüksek olması, topraklarda kabuk oluşumuna dolayısıyla da fiziksel bozunumun oldukça düşük düzeylerde kalmasına neden olurken; kum oranının yüksek olmasının ise SSI ve DO değerinin de yüksek olmasına neden olduğu görülmüştür. Ayrıca YSA ile tahmin edilen yüksek erodobilite faktörü % 82 ile CF olmuştur.

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“…Soil erodibility (Ed) is the level of ability or sensitivity of the soil to inhibit the release of soil particles due to the influence of the intensity and frequency of rainfall (Vaezi, Ahmadi et al, 2017). Soil erodibility is strongly influenced by physical and chemical characteristics such as organic matter, texture, clay, structure, and soil porosity (Alaboz et al, 2021). The higher the erodibility of the soil, the more soil is released for landslides.…”

Section: Data Collectionmentioning

confidence: 99%

The sensitivity level of landslide risk using Geographic Information System on the slopes of Mount Argopura, East Java, Indonesia

Basuki,

Sulistiawati,

Verdian

et al. 2023

J. Degrade. Min. Land Manage.

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Jember is surrounded and limited by highlands such as Mount Argopura, Mount Ijen, Mount Argopura, and the southern karst mountains. In 2015-2022, the Jember area flooded during the rainy season and dried during the dry season. Changes in land cover that do not follow the science of soil preservation will cause disasters, including landslides and erosion. The purpose of this study is to assess the risk of landslides on the slopes of Mount Argopura through the Geographic Information System. The study used a field survey method that was divided into several stages, including making a working map, conducting a field survey, and analyzing the data in the laboratory. The sensitivity analysis of the landslide level used as the basis for the assessment used the relationship between the parameters of soil erodibility, soil erosion, slope and soil conservation, and slope length. The sensitivity of the level of landslide risk on Mount Argopura is divided into five classes, from very light to very heavy. The very light category covers 4.92% of the total area with erosion of 0.47 t/ha/year. The very heavy class covers 39.70% of the total area, with 1,360.79 t/ha/year erosion.

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Digital mapping of soil erodibility factors based on decision tree using geostatistical approaches in terrestrial ecosystem

Cited by 30 publications

References 45 publications

Soil Use Legacy as Driving Factor for Soil Erosion under Conservation Agriculture

Soil Use Legacy as Driving Factor for Soil Erosion under Conservation Agriculture

Determination of erosion susceptibilities of soils formed on the periglacial landforms of mount Ilgar and its estimation using artificial neural network (ANN)

The sensitivity level of landslide risk using Geographic Information System on the slopes of Mount Argopura, East Java, Indonesia

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