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

International audience Rainfall erosivity causes considerable environmental damage by driving soil loss. However, the long-term evolution of erosive forcing (over centennial to millennial time-scales) remains essentially unknown. Using a rainfall erosivity model ( REM ARB ), this study simulates the...

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Published in:Frontiers in Earth Science
Main Authors: Diodato, Nazzareno, Ljungqvist, Fredrik Charpentier, Bellocchi, Gianni
Other Authors: University Corporation for Atmospheric Research (UCAR), Stockholm University, Swedish Collegium for Advanced Study (SCAS), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Format: Article in Journal/Newspaper
Language:English
Published: CCSD 2021
Subjects:
Online Access:https://hal.inrae.fr/hal-03842657
https://doi.org/10.3389/feart.2021.637973
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author Diodato, Nazzareno
Ljungqvist, Fredrik Charpentier
Bellocchi, Gianni
author2 University Corporation for Atmospheric Research (UCAR)
Stockholm University
Swedish Collegium for Advanced Study (SCAS)
Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP)
VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
author_facet Diodato, Nazzareno
Ljungqvist, Fredrik Charpentier
Bellocchi, Gianni
author_sort Diodato, Nazzareno
collection Institut National de la Recherche Agronomique: ProdINRA
container_title Frontiers in Earth Science
container_volume 9
description International audience Rainfall erosivity causes considerable environmental damage by driving soil loss. However, the long-term evolution of erosive forcing (over centennial to millennial time-scales) remains essentially unknown. Using a rainfall erosivity model ( REM ARB ), this study simulates the variability of rainfall erosivity in Arno River Basin (ARB), Italy, a Mediterranean fluvial basin, for the period 1000–2019 CE resulting in the world’s longest time-series of erosivity. The annual estimates show a noticeable and increasing variability of rainfall erosivity during the Little Ice Age (∼1250–1849), especially after c. 1490, until the end of 18th century. During this cold period, erosive forcing reached ∼1600 MJ mm hm −2 h −1 yr −1 once every four years, and ∼3000 MJ mm hm −2 h −1 yr −1 once every 20 years. The extremes of rainfall erosivity (the 98th percentile) followed a similar increasing trend, with an acceleration of the hydrological hazard (erosivity per unit of rainfall) during the 20th century. The comparison of REM ARB output with the sediment yield of the basin (1951–2010) confirmed the model’s ability to predict geomorphological effects in the ARB. Thus, our methodology could be applied to simulate erosivity in environmentally similar basins. A relationship has been identified between the Atlantic Multidecadal Variation and erosivity patterns, suggesting a role of North Atlantic circulation dynamics on the hydrology of central Italy’s fluvial basins.
format Article in Journal/Newspaper
genre North Atlantic
genre_facet North Atlantic
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op_doi https://doi.org/10.3389/feart.2021.637973
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doi:10.3389/feart.2021.637973
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Frontiers in Earth Science
https://hal.inrae.fr/hal-03842657
Frontiers in Earth Science, 2021, 9, ⟨10.3389/feart.2021.637973⟩
publishDate 2021
publisher CCSD
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spelling ftinraparis:oai:HAL:hal-03842657v1 2025-02-16T15:07:31+00:00 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 University Corporation for Atmospheric Research (UCAR) Stockholm University Swedish Collegium for Advanced Study (SCAS) Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP) VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) 2021-04-20 https://hal.inrae.fr/hal-03842657 https://doi.org/10.3389/feart.2021.637973 en eng CCSD Frontiers Media info:eu-repo/semantics/altIdentifier/doi/10.3389/feart.2021.637973 doi:10.3389/feart.2021.637973 WOS: 000646605900001 ISSN: 2296-6463 Frontiers in Earth Science https://hal.inrae.fr/hal-03842657 Frontiers in Earth Science, 2021, 9, ⟨10.3389/feart.2021.637973⟩ Arno river basin erosivity density historical dataset increasing trend parsimonious modeling rainfall erosivity reconstruction [SDU.STU]Sciences of the Universe [physics]/Earth Sciences info:eu-repo/semantics/article Journal articles 2021 ftinraparis https://doi.org/10.3389/feart.2021.637973 2025-01-21T17:05:20Z International audience Rainfall erosivity causes considerable environmental damage by driving soil loss. However, the long-term evolution of erosive forcing (over centennial to millennial time-scales) remains essentially unknown. Using a rainfall erosivity model ( REM ARB ), this study simulates the variability of rainfall erosivity in Arno River Basin (ARB), Italy, a Mediterranean fluvial basin, for the period 1000–2019 CE resulting in the world’s longest time-series of erosivity. The annual estimates show a noticeable and increasing variability of rainfall erosivity during the Little Ice Age (∼1250–1849), especially after c. 1490, until the end of 18th century. During this cold period, erosive forcing reached ∼1600 MJ mm hm −2 h −1 yr −1 once every four years, and ∼3000 MJ mm hm −2 h −1 yr −1 once every 20 years. The extremes of rainfall erosivity (the 98th percentile) followed a similar increasing trend, with an acceleration of the hydrological hazard (erosivity per unit of rainfall) during the 20th century. The comparison of REM ARB output with the sediment yield of the basin (1951–2010) confirmed the model’s ability to predict geomorphological effects in the ARB. Thus, our methodology could be applied to simulate erosivity in environmentally similar basins. A relationship has been identified between the Atlantic Multidecadal Variation and erosivity patterns, suggesting a role of North Atlantic circulation dynamics on the hydrology of central Italy’s fluvial basins. Article in Journal/Newspaper North Atlantic Institut National de la Recherche Agronomique: ProdINRA Frontiers in Earth Science 9
spellingShingle Arno river basin
erosivity density
historical dataset
increasing trend
parsimonious modeling
rainfall erosivity
reconstruction
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Diodato, Nazzareno
Ljungqvist, Fredrik Charpentier
Bellocchi, Gianni
Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE
title Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE
title_full Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE
title_fullStr Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE
title_full_unstemmed Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE
title_short Climate Patterns in the World’s Longest History of Storm-Erosivity: The Arno River Basin, Italy, 1000–2019 CE
title_sort climate patterns in the world’s longest history of storm-erosivity: the arno river basin, italy, 1000–2019 ce
topic Arno river basin
erosivity density
historical dataset
increasing trend
parsimonious modeling
rainfall erosivity
reconstruction
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
topic_facet Arno river basin
erosivity density
historical dataset
increasing trend
parsimonious modeling
rainfall erosivity
reconstruction
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
url https://hal.inrae.fr/hal-03842657
https://doi.org/10.3389/feart.2021.637973