Assessment of soil loss by water erosion in small river basins in Russia

Maltsev, Kirill; Yermolaev, Oleg

doi:10.1016/j.catena.2020.104726

Cited by 36 publications

(12 citation statements)

References 29 publications

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“…MaxWTP does not seem to be primarily influenced by species, but trends are evident for both slope and distance from the river, as recently confirmed by Maltsev and Yermolaev (2020).…”

Section: Discussionsupporting

confidence: 70%

Prevention of erosion in mountain basins: A spatial-based tool to support payments for forest ecosystem services

Sacchelli¹,

Borghi²,

Grilli³

2021

J. For. Sci.

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This paper presents a spatial-based decision support system (DSS) to assist public and private forest managers in the analysis of potential feasibility in payments for forest ecosystem services (PES) for the prevention of soil erosion. The model quantifies the maximum willingness to pay (WTP) of managers of a reservoir to prevent soil loss. The minimum willingness to accept (WTA) of forest owners for the activation of a private market is also computed. The comparison of WTP and WTA identifies the forest area where PES are ideally feasible with additional potential for compensation to enable the schemes. The DSS highlights forest idiosyncrasies as well as local socio-economic and geomorphological characteristics influencing PES suitability at a geographic level. The potential applications and future improvements of the model are also discussed.

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“…MaxWTP does not seem to be primarily influenced by species, but trends are evident for both slope and distance from the river, as recently confirmed by Maltsev and Yermolaev (2020).…”

Section: Discussionsupporting

confidence: 70%

Prevention of erosion in mountain basins: A spatial-based tool to support payments for forest ecosystem services

Sacchelli¹,

Borghi²,

Grilli³

2021

J. For. Sci.

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“…In the U.K., a total of 1566 individual records indicated that arable land had the highest mean erosion values among different land use types [49]. An average soil erosion rate of 4.04 Mg ha −1 yr −1 was also observed in the agricultural lands in the European territory of Russia [50]. For the part of Europe covered by the CORINE database, soil loss from arable land is 3.6 Mg ha −1 , which is three times of the average rate [51].…”

Section: Impact Of Lulc Change On Soil Erosionmentioning

confidence: 99%

Assessment of Soil Erosion at Multiple Spatial Scales Following Land Use Changes in 1980–2017 in the Black Soil Region, (NE) China

Fang

Fan

2020

IJERPH

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Impact of land use and land cover change on soil erosion is still imperfectly understood, especially in northeastern China where severe soil erosion has occurred since the 1950s. It is important to identify temporal changes of soil erosion for the black soil region at different spatial scales. In the present study, potential soil erosion in northeastern China was estimated based on the Revised Universal Loss Equation by integrating satellite images, and the variability of soil erosion at different spatial scales following land use changes in 1980, 1990, 2000, 2010, and 2017 was analyzed. The regionally spatial patterns of soil loss coincided with the topography, rainfall erosivity, soil erodibility, and use patterns, and around 45% of soil loss came from arable land. Regionally, soil erosion rates increased from 1980 to 2010 and decreased from 2010 to 2017, ranging from 3.91 to 4.45 Mg ha−1 yr−1 with an average of 4.22 Mg ha−1 yr−1 in 1980–2017. Areas with a rate of soil erosion less than 1.41 Mg ha−1 yr−1 decreased from 1980 to 2010 and increased from 2010 to 2017, and the opposite changing patterns occurred in higher erosion classes. Arable land continuously increased at the expense of forest in the high-elevation and steep-slope areas from 1980 to 2010, and decreased from 2010 to 2017, resulting in increased areas with erosion rates higher than 7.05 Mg ha−1 yr−1. At a provincial scale, Liaoning Province experienced the highest soil erosion rate of 9.43 Mg ha−1 yr−1, followed by Jilin Province, the eastern Inner Mongolia Autonomous Region, and Heilongjiang Province. At a county scale, around 75% of the counties had a soil erosion rate higher than the tolerance level. The county numbers with higher erosion rate increased in 1980–2010 and decreased in 2010–2017, resulting from the sprawl and withdrawal of arable land.

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“…However, for long term of period the usage of inorganic fertilizer could reduce soil fertility and crop productivity [1,2]. Food security is strongly affected by soil degradation [3], and will increase the CO 2 emission to atmosphere. These CO 2 is directly correlated with global warming.…”

Section: Introductionmentioning

confidence: 99%

Effects of Organic and Inorganic Fertilizers Applications Levels on Greenhouse Tomato (Solanum lycopersicum) Yield and Soil Quality in Khost Province

Hashimi

Habibi

2021

AJSSPN

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The study was carried out to determine the effect of organic and inorganic fertilizers on tomato yield and soil quality. The study was performed in a randomized complete block design consisting of 7 treatments with 3 replications in the research farm, Shaikh Zayed University, Khost, Afghanistan. The fertilizers treatments were T1, organic fertilizer (5 t/ha); T2, organic fertilizer (10 t/ha); T3, urea (150 Kg/ha); T4, urea (200 Kg/ha); T5, mixed fertilizers (organic fertilizer 3 t/ha + urea (100 Kg/ha); T6, mixed fertilizers (organic fertilizer 6 t/ha + urea (70 Kg/ha) and T7 a control. Results indicate that applications of inorganic fertilizers with a combination of organic fertilizers increased tomato yield and improves the nutrient status of the soil. T5 showed the highest yield of tomato and followed by T4 treatment, which were 33.1 and 31.7 t/ha respectively. The lower yield were obtained in T7 and T1 treatments. The highest plant heights (205.0 and 199.0 cm) were obtained in T5 and T4 respectively, while the lowest plant heights were obtained in T1 treatment and followed by T7 treatment. Similarly, we found that a combination of both inorganic and organic fertilizers application also is the best strategy to improve soil nutrients, maintain soil fertility. Soil P2O5 and K2O, where the highest amounts were obtained in T5 and followed by T6, which were 26.5, 22.5 and 44.5 and 41.5 mg/L respectively. The control treatment had the lowest amount of P2O5 and K2O. Therefore, this study suggests that an appropriate amount of organic fertilizer with inorganic fertilizer not only increased tomato yield but also improve soil fertility.

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Assessment of soil loss by water erosion in small river basins in Russia

Cited by 36 publications

References 29 publications

Prevention of erosion in mountain basins: A spatial-based tool to support payments for forest ecosystem services

Prevention of erosion in mountain basins: A spatial-based tool to support payments for forest ecosystem services

Assessment of Soil Erosion at Multiple Spatial Scales Following Land Use Changes in 1980–2017 in the Black Soil Region, (NE) China

Effects of Organic and Inorganic Fertilizers Applications Levels on Greenhouse Tomato (Solanum lycopersicum) Yield and Soil Quality in Khost Province

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