Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE

Diodato, Nazzareno; Ljungqvist, Fredrik Charpentier; Bellocchi, Gianni

doi:10.3389/feart.2021.637973

Cited by 7 publications

(1 citation statement)

References 128 publications

(136 reference statements)

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“…Soil erosion causes the degeneration of land resources, and rainfall is one of the primary dynamic factors of soil erosion (Alewell et al, 2019;Diodato et al, 2021). Rainfall erosivity (RE), which is the potential ability of rainfall to cause soil erosion, is a crucial indicator for predicting soil erosion (Teng et al, 2018;Romshoo et al, 2021;Sun et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Study on multidimensional changes of rainfall erosivity during 1970–2017 in the North–South Transition Zone, China

Zhu²,

Liu³

et al. 2022

Front. Environ. Sci.

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China is one of the world’s most seriously affected regions by water and soil erosion. Soil erosion is a major cause and an important component of land degradation, which has a negative impact on ecological protection and sustainable socioeconomic development. Rainfall erosivity (RE) is one of the key parameters to assess the degree of soil erosion. Quantifying the content of RE and the formation mechanism is important to accurately measure the degree of soil erosion and provide a theoretical basis for soil erosion management. Here, this study analyzed the spatial and temporal characteristics of RE and their driving mechanisms in the Qinba Mountains from 1970 to 2017 using a daily rainfall model. Furthermore, geographical detector methods were used to quantitatively identify the dominant factors affecting RE and the dominant factors affecting RE on different topographic reliefs. The results showed that the RE between 1970 and 2017 averaged 4,197.85 MJ mm hm−2 h−1 a−1, with a mutation coefficient of 0.16. The spatial distribution of RE is high in the southeast and low in the northwest, and the mean annual RE declines with the increase in latitude in longitude and increases with the reduction in longitude in latitude. In addition, precipitation and temperature are the main factors affecting the spatial distribution of RE. Among these, precipitation can explain about 97% of the RE and temperature can explain about 65% of the RE. These findings should be essential for managing soil and water loss in the North–South Transition Zone, China.

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Section: Introductionmentioning

confidence: 99%

Study on multidimensional changes of rainfall erosivity during 1970–2017 in the North–South Transition Zone, China

Zhu²,

Liu³

et al. 2022

Front. Environ. Sci.

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Landscape metrics as predictors of water-related ecosystem services: Insights from hydrological modeling and data-based approaches applied on the Arno River Basin, Italy

el Jeitany,

Nussbaum,

Pacetti

et al. 2024

Science of The Total Environment

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A millennium-long climate history of erosive storms across the Tiber River Basin, Italy, from 725 to 2019 CE

Diodato¹,

Ljungqvist

Bellocchi

2021

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Rainfall erosivity drives damaging hydrological events with significant environmental and socio-economic impacts. This study presents the world’s hitherto longest time-series of annual rainfall erosivity (725–2019 CE), one from the Tiber River Basin (TRB), a fluvial valley in central Italy in which the city of Rome is located. A historical perspective of erosive floods in the TRB is provided employing a rainfall erosivity model based on documentary data, calibrated against a sample (1923–1964) of actual measurement data. Estimates show a notable rainfall erosivity, and increasing variability, during the Little Ice Age (here, ~ 1250–1849), especially after c. 1495. During the sixteenth century, erosive forcing peaked at > 3500 MJ mm hm–2 h–1 yr–1 in 1590, with values > 2500 MJ mm hm–2 h–1 yr–1 in 1519 and 1566. Rainfall erosivity continued into the Current Warm Period (since ~ 1850), reaching a maximum of ~ 3000 MJ mm hm–2 h–1 yr–1 in the 1940s. More recently, erosive forcing has attenuated, though remains critically high (e.g., 2087 and 2008 MJ mm hm–2 h–1 yr–1 in 1992 and 2005, respectively). Comparison of the results with sediment production (1934–1973) confirms the model’s ability to predict geomorphological effects in the TRB, and reflects the role of North Atlantic circulation dynamics in central Italian river basins.

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Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE

Cited by 7 publications

References 128 publications

Study on multidimensional changes of rainfall erosivity during 1970–2017 in the North–South Transition Zone, China

Study on multidimensional changes of rainfall erosivity during 1970–2017 in the North–South Transition Zone, China

Landscape metrics as predictors of water-related ecosystem services: Insights from hydrological modeling and data-based approaches applied on the Arno River Basin, Italy

A millennium-long climate history of erosive storms across the Tiber River Basin, Italy, from 725 to 2019 CE

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