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  5. Soil Erosion in the United States. Present and Future (2020-2050)

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Preprint
English
2022

Soil Erosion in the United States. Present and Future (2020-2050)

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0 Files

English
2022
arXiv (Cornell University)
DOI: 10.48550/arxiv.2207.06579

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Amir Gandomi
Amir Gandomi

University of Techology Sdyney

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Shahab Aldin Shojaeezadeh
Malik Al-Wardy
Mohammad Reza Nikoo
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Abstract

Soil erosion is a significant threat to the environment and long-term land management around the world. Accelerated soil erosion by human activities inflicts extreme changes in terrestrial and aquatic ecosystems, which is not fully surveyed/predicted for the present and probable future at field-scales (30-m). Here, we estimate/predict soil erosion rates by water erosion, (sheet and rill erosion), using three alternative (2.6, 4.5, and 8.5) Shared Socioeconomic Pathway and Representative Concentration Pathway (SSP-RCP) scenarios across the contiguous United States. Field Scale Soil Erosion Model (FSSLM) estimations rely on a high resolution (30-m) G2 erosion model integrated by satellite- and imagery-based estimations of land use and land cover (LULC), gauge observations of long-term precipitation, and scenarios of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The baseline model (2020) estimates soil erosion rates of 2.32 Mg ha 1 yr 1 with current agricultural conservation practices (CPs). Future scenarios with current CPs indicate an increase between 8% to 21% under different combinations of SSP-RCP scenarios of climate and LULC changes. The soil erosion forecast for 2050 suggests that all the climate and LULC scenarios indicate either an increase in extreme events or a change in the spatial location of extremes largely from the southern to the eastern and northeastern regions of the United States.

How to cite this publication

Shahab Aldin Shojaeezadeh, Malik Al-Wardy, Mohammad Reza Nikoo, Mehrdad Ghorbani Mooselu, Mohammad Reza Alizadeh, Jan Adamowski, Hamid Moradkhani, Nasrin Alamdari, Amir Gandomi (2022). Soil Erosion in the United States. Present and Future (2020-2050). arXiv (Cornell University), DOI: 10.48550/arxiv.2207.06579.

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Publication Details

Type

Preprint

Year

2022

Authors

9

Datasets

0

Total Files

0

Language

English

Journal

arXiv (Cornell University)

DOI

10.48550/arxiv.2207.06579

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