Hungary

Kertész, Ádám; Centeri, Csaba

doi:10.1002/0470859202.ch12

Cited by 10 publications

(6 citation statements)

References 4 publications

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“…These findings are in line with the scenarios described by academic literature (Riksen & De Graaff, ; Gross & Schäfer, ; Kertész & Centeri, ). European soil degradation studies identified wind erosion as being a major threat to northern European soils (Warren, ).…”

Section: Resultssupporting

confidence: 91%

Towards a Pan‐European Assessment of Land Susceptibility to Wind Erosion

et al. 2014

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Understanding spatial and temporal patterns in land susceptibility to wind erosion is essential to design effective management strategies to control land degradation. The knowledge about the land surface susceptible to wind erosion in European contexts shows significant gaps. The lack of researches, particularly at the landscape to regional scales, prevents national and European institutions from taking actions aimed at an effective mitigating of land degradation. This study provides a preliminary pan-European assessment that delineates the spatial patterns of land susceptibility to wind erosion and lays the groundwork for future modelling activities. An Index of Land Susceptibility to Wind Erosion (ILSWE) was created by combining spatiotemporal variations of the most influential wind erosion factors (i.e. climatic erosivity, soil erodibility, vegetation cover and landscape roughness). The sensitivity of each input factor was ranked according to fuzzy logic techniques. State-of-the-art findings within the literature on soil erodibility and land susceptibility were used to evaluate the outcomes of the proposed modelling activity. Results show that the approach is suitable for integrating wind erosion information and environmental factors. Within the 34 European countries under investigation, moderate and high levels of land susceptibility to wind erosion were predicted, ranging from 25·8 to 13·0 M ha, respectively (corresponding to 5·3 and 2·9% of total area). New insights into the geography of wind erosion susceptibility in Europe were obtained and provide a solid basis for further investigations into the spatial variability and susceptibility of land to wind erosion across Europe.

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Section: Resultssupporting

confidence: 91%

Towards a Pan‐European Assessment of Land Susceptibility to Wind Erosion

et al. 2014

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“…Amongst the different natural hazards in Hungary, mass movements (primarily landslides) are concentrating only in small areas, while soil erosion by wind can amount to as much as 80-110 million m 3 annually, with 10% of the total area of the country being susceptible to wind erosion [45,50,51]. Soil erosion by water affects about 24.7% of the total area of Hungary [18,21].…”

Section: Study Areamentioning

confidence: 99%

“…Since Hungary is still lacking a comprehensive national soil erosion monitoring network [21], proper validation and/or calibration of such maps has been a challenge. A semi-quantitative evaluation study has concluded that the map from the combined USLE-PESERA approach has been in line with in situ observations of farmers [22].…”

Section: Introductionmentioning

confidence: 99%

Spatial Assessment of the Effects of Land Cover Change on Soil Erosion in Hungary from 1990 to 2018

Waltner¹,

Saeidi²,

Grósz³

et al. 2020

IJGI

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As soil erosion is still a global threat to soil resources, the estimation of soil loss, particularly at a spatiotemporal setting, is still an existing challenge. The primary aim of our study is the assessment of changes in soil erosion potential in Hungary from 1990 to 2018, induced by the changes in land use and land cover based on CORINE Land Cover data. The modeling scheme included the application and cross-valuation of two internationally applied methods, the Universal Soil Loss Equation (USLE) and the Pan-European Soil Erosion Risk Assessment (PESERA) models. Results indicate that the changes in land cover resulted in a general reduction in predicted erosion rates, by up to 0.28 t/ha/year on average. Analysis has also revealed that the combined application of the two models has reduced the occurrence of extreme predictions, thus, increasing the robustness of the method. Random Forest regression analysis has revealed that the differences between the two models are mainly driven by their sensitivity to slope and land cover, followed by soil parameters. The resulting spatial predictions can be readily applied for qualitative spatial analysis. However, the question of extreme predictions still indicates that quantitative use of the output results should only be carried out with sufficient care.

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“…Although soil erosion research has a long tradition in Hungary, studies have been focusing mostly on small areas or regions (Kertész & Centeri, ; Szalai et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…The map utilized combined outputs for two spatially explicit methods: the widely used empirical USLE and process‐based PESERA models similarly as it was done by Meusburger et al () in an alpine catchment. In lieu of available national erosion monitoring data (Kertész & Centeri, ; Várallyay, ), so far, only a qualitative approach was possible.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the new soil erosion map of Hungary—A semiquantitative approach

et al. 2018

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Soil erosion by water is one of the most significant forms of soil degradation globally, especially in Europe. A new soil erosion risk map of Hungary has been compiled and published recently, using the combined outputs of the Universal Soil Loss Equation and Pan‐European Soil Erosion Risk Assessment models. Our study aimed at providing evaluation of the map by using semiquantitative validation data obtained from the Hungarian Soil Degradation Subsystem of the National Environmental Information System. The Soil Degradation Subsystem database contained information at farm level as well as indicators based on laboratory data for 5‐ha representative plots. On the basis of the semiquantitative analysis, the map results align well with the farm‐based degradation data and provide viable information not only at the regional scale but also at the farm scale. However, indicators from representative plots did not support model results, indicating possible conflict between farm‐ and plot‐level data. Cross‐comparison of these indicators showed only limited correlation between farm‐ and plot‐level indicators.

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Hungary

Cited by 10 publications

References 4 publications

Towards a Pan‐European Assessment of Land Susceptibility to Wind Erosion

Towards a Pan‐European Assessment of Land Susceptibility to Wind Erosion

Spatial Assessment of the Effects of Land Cover Change on Soil Erosion in Hungary from 1990 to 2018

Evaluating the new soil erosion map of Hungary—A semiquantitative approach

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