Soil erosion in the United States: Present and future (2020–2050)
Shojaeezadeh, S., Al-Wardy, M., Nikoo, M., Mooselu, M., Alizadeh, M., Adamowski, J., Moradkhani, H., Alamdari, N. and Gandomi, A., (2024). Soil erosion in the United States: Present and future (2020–2050). Catena, 242 N/A-N/A
Document type:
Article
Collection:
-
Sub-type Journal article Author Shojaeezadeh, S.
Al-Wardy, M.
Nikoo, M.
Mooselu, M.
Alizadeh, M.
Adamowski, J.
Moradkhani, H.
Alamdari, N.
Gandomi, A.Title Soil erosion in the United States: Present and future (2020–2050) Appearing in Catena Volume 242 Publication Date 2024-05-06 Place of Publication N/A Publisher Elsevier B.V. Start page N/A End page N/A Language eng Abstract Brought on by anthropogenic actions, accelerated soil erosion inflicts extreme changes in terrestrial and aquatic ecosystems. These field-scale (30 m) changes have neither been fully surveyed in the present, nor predicted for a probable future. Water-driven soil erosion (i.e., sheet and rill erosion) rates across the contiguous United States were estimated for the present, and then predicted for the future using three alternative Shared Socioeconomic Pathway and Representative Concentration Pathway (SSP-RCP) scenarios (2.6, 4.5, and 8.5) of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The G2 erosion model which is integrated with Machine Learning (ML) and Remote Sensing (RS) techniques were used to estimate soil erosion based on gauge observations of long-term precipitation, and climate and land use land cover (LULC) scenarios. The baseline model (2020) estimated soil erosion rates of 2.32 Mg ha−1 yr−1 under current conservation agriculture practices (CPs). Maintaining current CPs, future scenarios predict an 8 % to 21 % increase in soil erosion under different combinations of SSP-RCP climate and LULC change scenarios. The findings of this study can help policy makers for future conservation planning on maintaining soil fertility, mitigating environmental impacts, and promoting food security. Copyright Holder Elsevier B. V. Copyright Year 2024 Copyright type All rights reserved DOI 10.1016/j.catena.2024.108074 -
Citation counts Search Google Scholar Access Statistics: 27 Abstract Views - Detailed Statistics Created: Thu, 26 Sep 2024, 04:13:17 JST by Haideh Beigi on behalf of UNU INWEH