Degradation of Rainfed Agricultural Soils: Impacts and Monitoring

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Soils".

Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 3096

Special Issue Editors


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Guest Editor
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
Interests: remote sensing; soil analysis; soil science

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Guest Editor
Departamento de Sistemas y Recursos Naturales, ETSIMFMN, Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
Interests: indexes development; time series analysis; agricultural and forest monitoring; fire risk
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Special Issue Information

Dear Colleagues,

This Special Issue is proposed with the aim of promoting contributions dealing with the principal role of soils supporting rainfed agriculture. In the context of climate change, sustainable agricultural practices demand resilient soils to minimize the effect of increasing temperatures and rainfall variability, which affect yields and therefore threaten global food security. This is especially relevant in drylands worldwide, including Mediterranean and semiarid agroecosystems, where soil degradation due to organic carbon decrease is a widespread concern. In this regard, among the effects of agronomic relevance, decrease in fertility and water holding capacity, as well as loss of structure can be highlighted. In addition, the loss by erosion of the key horizons regarding soil resilience (mostly A and B horizons), makes the recovery of degraded soils even more difficult. Satellite-scale monitoring is a main tool to globally assess these processes, and therefore is a basis for making relevant decisions on soil conservation policies. However, the degradation processes of agricultural soils may not be evident, which makes it necessary to insist on the search and assessment of effective indicators of these processes, especially early indicators, that can be monitored by remote sensing. Manuscripts related to the aforementioned topics will be gratefully considered for publication.

Dr. Manuel Rodríguez-Rastrero
Dr. Alicia Palacios-Orueta
Guest Editors

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Keywords

  • mediterranean agricultural soils
  • semiarid agricultural soils
  • dryland farming
  • soil organic carbon loss
  • soil erosion impacts on farming
  • soil salinization impacts on farming
  • satellite-scale monitoring of soil degradation

Published Papers (1 paper)

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Research

19 pages, 7522 KiB  
Article
Integration of RUSLE Model, Remote Sensing and GIS Techniques for Assessing Soil Erosion Hazards in Arid Zones
by Elsayed A. Abdelsamie, Mostafa A. Abdellatif, Farag O. Hassan, Ahmed A. El Baroudy, Elsayed Said Mohamed, Dmitry E. Kucher and Mohamed S. Shokr
Agriculture 2023, 13(1), 35; https://doi.org/10.3390/agriculture13010035 - 22 Dec 2022
Cited by 9 | Viewed by 2345
Abstract
Soil erosion constitutes one of the main environmental and food security threats, derived from the loss of its productive capacity. With the help of remote sensing (RS), geographic information systems (GIS), and a revised version of the universal soil loss equation (RUSLE), this [...] Read more.
Soil erosion constitutes one of the main environmental and food security threats, derived from the loss of its productive capacity. With the help of remote sensing (RS), geographic information systems (GIS), and a revised version of the universal soil loss equation (RUSLE), this research has mostly focused on measuring the potential soil erosion hazard and soil water conservation ratio (SWCR) in the El-Minia region of Egypt. Based on the integration of S2A images and the digital elevation model (DEM), geomorphological units of the study area were identified. The RUSLE model includes parameters that allow for mapping soil erosion, such as rain erosivity, soil erodibility, slope length and steepness, soil cover and management, and soil conservation practices. The outcomes revealed that the classes of annual erosion rates of the study area are those of “slight erosion”, “low erosion”, “moderate erosion” and “moderately high erosion”, which represent percentages of 29%, 18%, 33% and 20%, respectively, of the total area. The rate of erosion decreases from east to west. The main erosion factors in the research area are the low vegetation cover and the high slope values. This study highlights the utility of combining the classic RUSLE equation with techniques such as remote sensing (RS) and geographic information systems (GIS) as a basis for assessing current erosion conditions in arid environments and, specifically, for the application of soil management patterns aimed at increasing soil organic matter and any other soil conservation actions. The findings of this study can be used by policymakers to implement soil conservation measures if development projects are to proceed in areas with a high risk of soil erosion. The approach described here is therefore adaptable to similar environments in arid regions. Full article
(This article belongs to the Special Issue Degradation of Rainfed Agricultural Soils: Impacts and Monitoring)
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