Future changes in global rainfall erosivity: Insights from the precipitation changes DOI
Yueli Chen, Ting Wei, Jianduo Li

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 638, P. 131435 - 131435

Published: June 1, 2024

Language: Английский

Fire effects on geomorphic processes DOI
Luke A. McGuire, Brian A. Ebel, Francis K. Rengers

et al.

Nature Reviews Earth & Environment, Journal Year: 2024, Volume and Issue: 5(7), P. 486 - 503

Published: May 30, 2024

Language: Английский

Citations

22

Climate change is threatening mountain grasslands and their cultural ecosystem services DOI Creative Commons
Eugenio Straffelini, Jian Luo, Paolo Tarolli

et al.

CATENA, Journal Year: 2024, Volume and Issue: 237, P. 107802 - 107802

Published: Jan. 11, 2024

Mountain grasslands are widespread ecosystems worldwide that provide economic and cultural ecosystem services. They serve as a source of food, carbon sequestration, clean water, habitat, also hosting traditional practices such transhumance. However, they facing growing threats due to climate change, including extreme weather events like intensified rainfall causing soil erosion prolonged droughts alongside high temperatures, impacting vegetation health water resource management. Despite their strategic importance, there remains gap in the comprehensive global mapping these an exhaustive exploration critical challenges posed by change. In this context, we present unprecedented satellite-based mountain conduct analysis focusing on key change-related concerns. This includes assessment (1) under diverse scenarios (RUSLE; 2015 vs. 2070-RCP8.5) (2) dynamics drought high-temperature (utilizing Vegetation Health Index; VHI), with specific focus European during summer 2022. Our findings indicate potential future aggravation (+2.3%), particularly South America (+19.4%) Africa (+10.0%), well localized hotspots. Furthermore, our 2022 situation Europe demonstrates extensive impact similar across significant portion grassland areas at continental scale, notable hotspots observed southern Europe. Finally, explore strategies enhance management, specifically nature-based solutions (NbS) aimed preserving invaluable services face

Language: Английский

Citations

20

Extreme rainfall erosivity: Research advances and future perspectives DOI

Yingshan Zhao,

Dayun Zhu,

Zhigao Wu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 917, P. 170425 - 170425

Published: Jan. 29, 2024

Language: Английский

Citations

19

The Impacts of Erosion on the Carbon Cycle DOI Creative Commons
Haiyan Zheng, Chiyuan Miao, Chris Huntingford

et al.

Reviews of Geophysics, Journal Year: 2025, Volume and Issue: 63(1)

Published: Jan. 2, 2025

Abstract Physical and chemical erosion associated with water both affect land–atmosphere carbon exchanges. However, previous studies have often addressed these processes separately or used oversimplified mechanisms, leading to ongoing debates uncertainties about erosion‐induced fluxes. We provide an overview of the on‐site uptake fluxes induced by physical (0.05–0.29 Pg C yr −1 , globally) (0.26–0.48 ). Then, we discuss off‐site dynamics (during transport, deposition, burial). Soil organic mineralization during transport is nearly 0.37–1.20 on globe. also summarize overall into estuaries (0.71–1.06 ) identify sources different types within them, most which are land erosion. Current approaches for quantifying physical‐erosion‐induced vertical focus two distinct temporal scales: short‐term (ranging from minutes decades), emphasizing net flux, long‐term (spanning millennial geological timescales), examining fate eroded over extended periods. In addition direct measurement modeling approaches, estimation using indicators riverine material popular constraining chemical‐erosion‐driven Lastly, highlight key challenges related To overcome potential biases in future studies, strongly recommend integrated research that addresses a well‐defined timescale. A comprehensive understanding mechanisms driving lateral crucial closing global budget.

Language: Английский

Citations

3

Global rainfall erosivity database (GloREDa) and monthly R-factor data at 1 km spatial resolution DOI Creative Commons
Panos Panagos, Tomislav Hengl, Ichsani Wheeler

et al.

Data in Brief, Journal Year: 2023, Volume and Issue: 50, P. 109482 - 109482

Published: Aug. 9, 2023

Here, we present and release the Global Rainfall Erosivity Database (GloREDa), a multi-source platform containing rainfall erosivity values for almost 4000 stations globally. The database was compiled through global collaboration between network of researchers, meteorological services environmental organisations from 65 countries. GloREDa is first open access (R-factor) based on hourly sub-hourly records at scale. This now stored accessible download in long-term European Soil Data Centre (ESDAC) repository Commission's Joint Research Centre. will ensure further development with insertions new records, maintenance data provision helpdesk. In addition to annual data, this also includes mean monthly 94% stations. Based these R-factor values, predict datasets 1 km resolution using ensemble machine learning approach (ML) as implemented mlr package R. produced raster (GeoTIFF format) may be useful soil erosion prediction modelling, sediment distribution analysis, climate change predictions, flood, natural disaster assessments can valuable inputs Land Earth Systems modelling.

Language: Английский

Citations

42

Towards multi-model soil erosion modelling: An evaluation of the erosion potential method (EPM) for global soil erosion assessments DOI Creative Commons
Nejc Bezak, Pasquale Borrelli, Matjaž Mikoš

et al.

CATENA, Journal Year: 2023, Volume and Issue: 234, P. 107596 - 107596

Published: Oct. 14, 2023

Soil erosion is expected to increase in the future due climate change. models are useful tools that can be used by decision makers and other stakeholders deal with soil problems or implementation of protection measures. Most modelling applications using Universal Loss Equation (USLE)-type models. In this study, we evaluate applicability Erosion Potential Model (EPM) its modified version (mEPM) for estimation gross net rates at a global scale. The sensitivity analysis shows model results have highest variability (land cover) coefficient followed erodibility parameter. models' evaluations indicate EPM cannot applied cold regions while mEPM overcomes issue. based on were 1.5–2.5 times larger than ones obtained from mEPM. Increasing number catchment properties as inputs may help improving performance tested Moreover, comparison losses long-term suspended sediment yield data 116 catchments located around globe indicates median bias less 10%, although 1/3 was above 100%. Furthermore, direct such USLE-type not possible since do take into consideration processes slumps gully just sheet rill erosion. Therefore, expected, higher compared Hence, mEPM, despite limitations, could regarded an interesting approach describing should further small- medium-sized various zones.

Language: Английский

Citations

36

Rainfall erosivity index for monitoring global soil erosion DOI Open Access
Lihong Wang, Yuechen Li,

Yushi Gan

et al.

CATENA, Journal Year: 2023, Volume and Issue: 234, P. 107593 - 107593

Published: Oct. 19, 2023

Language: Английский

Citations

35

Modelling the impact of historic landscape change on soil erosion and degradation DOI Creative Commons
Filippo Brandolini, Tim Kinnaird, Aayush Srivastava

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: March 27, 2023

International policies and guidelines often highlight the divide between 'nature' 'heritage' in landscape management, weakness of monodisciplinary approaches. This study argues that historic agricultural practices have played a key role shaping today's landscapes, creating heritage which affords opportunities for more sustainable management. The paper develops new interdisciplinary approach with particular reference to soil loss degradation over long term. It presents innovative methods assessing modelling how pre-industrial features can mitigate erosion risk response current environmental conditions. Landscape archaeology data presented through Historic Characterisation are integrated GIS-RUSLE model illustrate impact varying land-uses on erosion. resulting analyses could be used inform strategies land resource planning.

Language: Английский

Citations

31

Projected seasonal changes in future rainfall erosivity over the Lancang-Mekong River basin under the CMIP6 scenarios DOI
Ximeng Xu, Xiaobo Yun, Qiuhong Tang

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 620, P. 129444 - 129444

Published: March 27, 2023

Language: Английский

Citations

28

Impact of extreme rainfall events on soil erosion on karst Slopes: A study of hydrodynamic mechanisms DOI
Youjin Yan,

Zeyin Hu,

Liangjie Wang

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 638, P. 131532 - 131532

Published: June 18, 2024

Language: Английский

Citations

13