Loss of topsoil and soil erosion by water in agricultural areas: A multi-criteria approach for various land use scenarios in the Western Carpathians using a SWAT model

Halecki, Wiktor; Kruk, Edyta; Ryczek, Marek

doi:10.1016/j.landusepol.2018.01.041

Cited by 51 publications

(28 citation statements)

References 76 publications

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“…Erosion of mountain soils, is the subject of research related to water engineering. Depending on the volume of flow, the intensity of transport of suspended sediment flowing into the stream is a major issue, because the assessment of its intensity is important in agriculture (Halecki et al 2018a , b , c ). The development of variability of the main sources of transported weathered material is important in sedimentology, and the intensity of suspended sediment, activated by surface run-offs and its delivery during high-intensity rainfall in the assessment of surface water erosion of soil (Halecki et al 2018a ).…”

Section: Discussionmentioning

confidence: 99%

Evaluating the applicability of MESS (matrix exponential spatial specification) model to assess water quality using GIS technique in agricultural mountain catchment (Western Carpathian)

Halecki

Stachura

Fudała

et al. 2018

Environ Monit Assess

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The formation of many sources of pollution in a short period of time is due to mountain soil erosion by water. One of the major mechanisms decisive in the intensification of such erosion is the loosening of soil material on the slope. Water quality studies show the impact of diversified spatial management and allow making the right decisions in environmental management in mountain areas with high variability of use and land cover. The research undertaken as part of the paper was carried out in order to determine the dependency between total suspended solids (TSS) and the physicochemical parameters of surface waters and the amount of soil losses in the use structure within the mountain catchment. The paper focused on the frequency of phenomena in time and the possibility of stopping the surface runoff on the slope and on the soil’s susceptibility to water erosion. The dependencies between multipoint sampling and the concentration of material washed off the slope due to precipitation were verified with a multivariate analysis. Sampling took place in hydrometric sections, and during small floods, in the waterbed cross section. Research shows that such sampling is the basis for the calculation of the transported load, reflecting the average variation in concentration. The variation in the volume of the load from the individual parts of the catchment was assessed by the spatial autoregressive model. It was found that the use of river basin areas affects water chemistry. Water reservoirs are an important ecological barrier for the migration of nitrate nitrogen (N-NO3) and phosphate phosphorus (P-PO4), which is marked by changes in the growing season. Water along the sections of the river near the quarry with a high degree of sodding showed good quality condition. Despite significant differences between measurement sampling sites, high total dissolved solid (TDS) values were found in communities adjacent to forests and meadows. However, the highest electrical conductivity (EC) and TSS concentrations were found in the interface with cultivated areas. Biogenic indices showed variation depending on the way the adjacent areas were used. GIS linked spatial variables with the formation of water pollution. The analysis of spatial autoregression pointed to the impact of arable land. Moreover, the analysis of spatial autoregression with the MESS function designated a connection between agricultural land use and nitrite nitrogen (N-NO2), EC, TSS, and dissolved oxygen (DO). Graphical abstractᅟ Electronic supplementary materialThe online version of this article (10.1007/s10661-018-7137-x) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Evaluating the applicability of MESS (matrix exponential spatial specification) model to assess water quality using GIS technique in agricultural mountain catchment (Western Carpathian)

Halecki

Stachura

Fudała

et al. 2018

Environ Monit Assess

Self Cite

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“…There are different empirical models for soil loss measurements such as Soil and Water Assessment Tool (Halecki et al 2018;Shi & Huang 2021), erosion potential method (Refahi & Nematti 1995;Tangestani 2006), the Universal Soil Loss Equation (Wischmeier & Smith 1978;Ferro 2010;Meinen & Robinson 2021) and pan-European soil erosion risk assessment (Fernandez & Vega 2016), which are highly applicable for large geographical areas. From the existing empirical models, we have chosen the RUSLE due to its effectiveness in highland areas (Hurni 1985;Marondedze & Schutt 2020), and more operational to estimate the amount of soil loss on annual basis with less field data (Renard et al 1997;Fernandez & Vega 2016).…”

Section: Introductionmentioning

confidence: 99%

Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia

Moisa

Negash

Merga³

et al. 2021

Journal of Water and Climate Change

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The impact of land-use land-cover (LULC) change on soil resources is getting global attention. Soil erosion is one of the critical environmental problems worldwide with high severity in developing countries. This study integrates the Revised Universal Soil Loss Equation model with a geographic information system to estimate the impacts of LULC conversion on the mean annual soil loss in the Temeji watershed. In this study, LULC change of Temeji watershed was assessed from 2000 to 2020 by using 2000 Landsat ETM+ and 2020 Landsat OLI/TIRS images and classified using supervised maximum likelihood classification algorithms. Results indicate that the majority of the LULC in the study area is vulnerable to soil erosion. High soil loss is observed when grassland and forest land were converted into cultivated land with a mean soil loss of 88.8 and 86.9 t/ha/year in 2020. Results revealed that about 6,608.5 ha (42.8%) and 8,391.8 ha (54.4%) were categorized under severe classes in 2000 and 2020, respectively. Accordingly, the soil loss severity class is directly correlated with the over-exploitation of forest resources and grasslands for agricultural purposes. These results can be useful for advocacy to enhance local people and stakeholder's participation toward soil and water conservation practices.

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“…In the context of the transformation of human-land relationship, land use change scenario analysis has become an important means of quantifying ecosystem services response to land use policy (Xu et al, 2019;Halecki et al, 2018;Kerschbaumer et al, 2015). The land use change scenario analysis determines the different land use needs according to the driving factors of land use patterns, and regards it as a demanding for different land use types in the future.…”

Section: Introductionmentioning

confidence: 99%

Simulating the impact of Grain-for-Green Programme on ecosystem services trade-offs in Northwestern Yunnan, China

et al. 2019

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One of the main manifestations of the Grain-for-Green Programme (GFGP) is land use change, which will affect the trade-off of ecosystem services. Since the implementation of the GFGP in Dali Autonomous Prefecture in 2000, land use/cover has undergone dramatic changes. This study used the CLUES model to simulate land use change in 2030, and explored the spatial pattern and relationship of different ecosystem services under the four scenarios of GFGP. The results show that, GFGP can help to improve indirect services of ecosystems, such as carbon storage and soil conservation. However, direct services of the ecosystem will decline, such as food production and water yield. Compared with 2010, the overall supply level of the four ecosystem services is the most balanced in the moderate GFGP scenario. In this

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Loss of topsoil and soil erosion by water in agricultural areas: A multi-criteria approach for various land use scenarios in the Western Carpathians using a SWAT model

Cited by 51 publications

References 76 publications

Evaluating the applicability of MESS (matrix exponential spatial specification) model to assess water quality using GIS technique in agricultural mountain catchment (Western Carpathian)

Evaluating the applicability of MESS (matrix exponential spatial specification) model to assess water quality using GIS technique in agricultural mountain catchment (Western Carpathian)

Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia

Simulating the impact of Grain-for-Green Programme on ecosystem services trade-offs in Northwestern Yunnan, China

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