Projections of soil loss by water erosion in Europe by 2050

Panagos, Panos; Ballabio, Cristiano; Himics, Mihály; Scarpa, Simone; Matthews, Francis; Bogonos, Mariia; Poesen, Jean; Borrelli, Pasquale

doi:10.1016/j.envsci.2021.07.012

Cited by 136 publications

(65 citation statements)

References 67 publications

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“…Since numerous studies around the world have shown that rainfall is the main climatological factor leading to soil erosion, with raindrop splash erosion and runoff being the main characteristics that influence this process, contemporary studies have focused on observing parameters described as rainfall erosivity-RE, e.g., [15][16][17][18][19][20][21][22][23][24][25][26]. Certain authors recognise this parameter as the potential of raindrops to trigger soil erosion, where its estimation is fundamental for the understanding of the climatic vulnerability within a given region, e.g., [11,27].…”

Section: Introductionmentioning

confidence: 99%

“…RE is expressed as the product of the total kinetic energy of a rainfall event times the 30-min maximum rainfall intensity [28]. It is calculated using high-resolution pluviographic data from rain gauges [10,11,17,[29][30][31] or by simpler models based on daily, monthly, seasonal, and annual rainfall [10,11,17,[23][24][25][26][27][28][29][30]. RE is one of the key input parameters of the universal soil loss equation (USLE) and the revised universal soil loss equation (RUSLE) [11,19,21,26,32].…”

Section: Introductionmentioning

confidence: 99%

“…The Intergovernmental Panel on Climate Change (IPCC) document "Special Report on Climate Change and Land", presents evidence of how these changes substantially affect other processes. These processes encompass desertification (water scarcity), land degradation (soil erosion, vegetation loss, wildfire, permafrost thaw), and food security (crop yield and food supply uncertainty) [23,34]. Moreover, an increase in severe storm intensity will likely enhance runoff and decrease the soil water infiltration process, thus causing even greater soil losses than at the beginning of the 21st century [19,20,[23][24][25]30].…”

Section: Introductionmentioning

confidence: 99%

“…These processes encompass desertification (water scarcity), land degradation (soil erosion, vegetation loss, wildfire, permafrost thaw), and food security (crop yield and food supply uncertainty) [23,34]. Moreover, an increase in severe storm intensity will likely enhance runoff and decrease the soil water infiltration process, thus causing even greater soil losses than at the beginning of the 21st century [19,20,[23][24][25]30]. Soil erosion already accounts for most soil loss, compared to other erosion processes in Europe, even though RE had only increased by 4% during the last decades of the 20th century [23,25].…”

Section: Introductionmentioning

confidence: 99%

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Detailed Analysis of Spatial–Temporal Variability of Rainfall Erosivity and Erosivity Density in the Central and Southern Pannonian Basin

et al. 2021

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Estimation of rainfall erosivity (RE) and erosivity density (ED) is essential for understanding the complex relationships between hydrological and soil erosion processes. The main objective of this study is to assess the spatial–temporal trends and variability of the RE and ED in the central and southern Pannonian Basin by using station observations and gridded datasets. To assess RE and ED, precipitation data for 14 meteorological stations, 225 grid points. and an erosion model consisting of daily, monthly, seasonal, and annual rainfall for the period of 1961–2014 were used. Annual RE and ED based on station data match spatially variable patterns of precipitation, with higher values in the southwest (2100 MJ·mm·ha−1·h−1) and southeast (1650 MJ·mm·ha−1·h−1) of the study area, but minimal values in the northern part (700 MJ·mm·ha−1·h−1). On the other hand, gridded datasets display more detailed RE and ED spatial–temporal variability, with the values ranging from 250 to 2800 MJ·mm·ha−1·h−1. The identified trends are showing increasing values of RE (ranging between 0.20 and 21.17 MJ·mm·ha−1·h−1) and ED (ranging between 0.01 and 0.03 MJ·ha−1·h−1) at the annual level. This tendency is also observed for autumn RE (from 5.55 to 0.37 MJ·mm·ha−1·h−1) and ED (from 0.05 to 0.01 MJ·ha−1·h−1), as for spring RE (from 1.00 to 0.01 MJ·mm·ha−1·h−1) and ED (from 0.04 to 0.01 MJ·ha−1·h−1), due to the influence of the large-scale processes of climate variability, with North Atlantic Oscillation (NAO) being the most prominent. These increases may cause a transition to a higher erosive class in the future, thus raising concerns about this type of hydro-meteorological hazard in this part of the Pannonian Basin. The present analysis identifies seasons and places of greatest erosion risk, which is the starting point for implementing suitable mitigation measures at local to regional scales.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Detailed Analysis of Spatial–Temporal Variability of Rainfall Erosivity and Erosivity Density in the Central and Southern Pannonian Basin

et al. 2021

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“…For example, the current targeting of mitigation measures is based on broad regions of eight river basin districts (Alahuhta et al, 2010) with less consideration of local conditions. The modest achievements in the erosion control are also partially influenced by changes in climate and weather (Räike et al, 2020), and it is likely that the erosion rates will be further influenced by the climate change (Panagos et al, 2021). These highlight the importance of improving the erosion management, and a country-wide understanding of spatial distribution of erosion risk through high-resolution data is paramount in such efforts.…”

Section: Introductionmentioning

confidence: 99%

Improving the agricultural erosion management in Finland through high-resolution data

Räsänen

Tähtikarhu

Uusi-Kämppä

et al. 2021

Preprint

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Abstract. Soil erosion reduces the sustainability of agricultural sector by loss of productive soil and through negative impacts on surface waters. In Finland, considerable efforts have been made to reduce soil erosion, but the suspended sediment loads to surface waters have not markedly reduced. A major limitation has been the lack of high-resolution data on erosion risk for efficient targeting of the erosion management efforts. In this study, by using the Revised Universal Soil Loss Equation (RUSLE) a two-meter resolution erosion risk data was developed and consequently the spatial distribution of the erosion risk of Finnish agricultural land was analysed. With agricultural management practices of 2019, the average erosion of agricultural land was estimated to be 430 kg ha−1 yr−1, and it varied at the municipality scale from 100 to 1290 kg ha−1 yr−1. At more local scales the erosion risk had even greater variability, and areas with high erosion risk were differently located in terms distances to water bodies. The results also suggest that the past erosion management efforts have not been well-targeted according to the actual erosion risk. Altogether, the results indicate that erosion mitigation measures can be improved by inclusion of high-resolution data in the planning and implementation of the measures, by considering the spatial variability of the erosion risk over multiple spatial scales, and by implementation of location specific erosion reduction measures.

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Adaptation to Extreme Weather

2023

Cover Crops and Soil Ecosystem Services

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Projections of soil loss by water erosion in Europe by 2050

Cited by 136 publications

References 67 publications

Detailed Analysis of Spatial–Temporal Variability of Rainfall Erosivity and Erosivity Density in the Central and Southern Pannonian Basin

Detailed Analysis of Spatial–Temporal Variability of Rainfall Erosivity and Erosivity Density in the Central and Southern Pannonian Basin

Improving the agricultural erosion management in Finland through high-resolution data

Adaptation to Extreme Weather

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