Predicting plot soil loss by empirical and process-oriented approaches. A review

Bagarello, Vincenzo; Ferro, Vito; Flanagan, D. C.

doi:10.4081/jae.2018.710

Cited by 15 publications

(9 citation statements)

References 68 publications

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“…Comparing this result with simulated values demonstrates that the USLE model underestimates the soil erosion in the Oued El Malleh watershed. This finding is in agreement with [59][60][61].…”

Section: Average Annual Soil Losssupporting

confidence: 91%

The Effect of Erosion Control Practices on the Vulnerability of Soil Degradation in Oued EL Malleh Catchment using the USLE Model Integrated into GIS, Morocco

et al. 2022

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Water erosion is a major problem in semi-arid region where decreases the dam reservoir design capacity, agricultural yield productivity, and increases other environmental impacts. This phenomenon is widely predominant in Morocco, particularly in the Oued El Malleh watershed in the Casablanca Settat region. Most soil erosion happens gradually which makes it challenging to notice. Hence, the monitoring of soil degradation under a modelling-based, such as Geographic Information System (GIS) can help the decision-makers to quantify the eroded soil and choose the best mitigation measures. Many erosion control practices have been implemented in The Oued El Malleh watershed in 2008, which covers a surface area of 3127 km2. Even though, the soil erosion still dramatic in the region. To date, no one has attempted to work on the impact of the soil conservation factor at the level of the Oued El Malleh watershed, as well as monitoring the sustainability and effectiveness of the water erosion control practices already implemented. Therefore, periodic monitoring and evaluating soil degradation is imposed. To achieve this purpose, we used the Universal Soil Loss Equation (USLE) to spatially assess water erosion in the study area, to find out the most vulnerable area to erosion, to notice the efficiency of the actual erosion control practices and elaborate on new mitigation measures. The results of this study have been shown that the rate of soil loss in the Oued El Malleh, including the actual control erosion interventions, varies from 0 to 90 t. ha-1.year-1; with an average erosion rate of 0.65 t. ha-1.year-1. The study area characterized by a moderate to severe slopes, in some area, the Length and Steepness Factor LS exceeds 90 %. For this reason, we have been elaborated new soil loss map, including soil conservation measures according to the slope. The soil loss rate; following this approach; varies from 0 to 64 t.ha-1.year-1. Furthermore, the followed approach could be valuable for assessing the soil loss in similar area. HIGHLIGHTS Casablanca-Settat agricultural lands become progressively infertile and depleted soils Soil degradation by water erosion is a tidal problem in the Oued El Malleh watershed Soil loss was estimated at a watershed level using the USLE model and ArcGIS tool The soil loss rate is estimated to be 0.65 t. ha-1.year-1, and the average sedimentary yield is found at 8.27 t. ha-1.year-1 Sustainable land management can limit soil degradation GRAPHICAL ABSTRACT

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Section: Average Annual Soil Losssupporting

confidence: 91%

The Effect of Erosion Control Practices on the Vulnerability of Soil Degradation in Oued EL Malleh Catchment using the USLE Model Integrated into GIS, Morocco

et al. 2022

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“…Soil erosion reduces the soil quality and quantity, replenishment of nutrients, and ultimately negatively affects ESS and the loss of BD (Powlson et al, 2011;Palm et al, 2014). Soil erosion models and modeling frameworks (MFW) were developed for largescale simulations but have also been applied at smaller scales (Avwunudiogba and Hudson, 2014;Evans and Boardman, 2016;Igwe et al, 2017;Bagarello et al, 2018). Most soil erosion models are simple, physical, and empirical equation and processbased and have limited applications for field scale predictions, especially in AFS (Avwunudiogba and Hudson, 2014;Igwe et al, 2017).…”

Section: Biodiversity Modeling Overview and Potential For Ess Estimat...mentioning

confidence: 99%

Current approaches for modeling ecosystem services and biodiversity in agroforestry systems: Challenges and ways forward

Rahman

Ahrends²,

Raza³

et al. 2023

Front. For. Glob. Change

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Limited modeling studies are available for the process-based simulation of ecosystem services (ESS) and biodiversity (BD) in agroforestry systems (AFS). To date, limited field scale AFs models are available to simulate all possible ESS and BD together. We conducted an extensive systematic review of available agroforestry (AF), BD, and soil erosion models for the simulation potential of seven most desirable ESS in AFS. Simple to complex AF models have an inherent limitation of being objective-specific. A few complex and dynamic AF models did not meet the recent interest and demands for the simulation of ESS under AFS. Further, many ESS modules especially soil erosion, GHGs emission, groundwater recharge, onsite water retention, nutrients and pesticide leaching, and BD are often missing in available AF models, while some existing soil erosion models can be used in combination with AF models. Likewise mechanistic and process-based BD diversity models are lacking or found limited simulation potential for ESS under AFS. However, further efforts of model development and improvement (integration and coupling) are needed for the better simulation of complex interactive processes belonging to ESS under AFS. There are different possibilities but a proficient modeling approach for better reliability, flexibility, and durability is to integrate and couple them into a process-based dynamic modular structure. Findings of the study further suggested that crop modeling frameworks (MFW) like SIMPLACE and APSIM could be potential ones for the integration and coupling of different suitable modeling approaches (AF, soil protection, GHGs emission, flood prevention, carbon sequestration, onsite water retention, ground recharge, nutrient leaching, and BD modules) in one platform for dynamic process based ESS estimation on daily basis at the field scale.

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“…As soil physical characteristics are related to its susceptibility to erosion (Bradford et al, 1987;Lowery et al, 1995;Mamedov and Levy, 2019), it is reasonable to expect that MPs in the soil can influence water erosion processes, which are extremely important issues in many environments (Bagarello et al, 2018). However, to the best of our knowledge, limited research has been conducted to evaluate if and to what extent MP contamination of the soil affects water erosion processes.…”

Section: Introductionmentioning

confidence: 99%

Polyester microplastic fibers affect soil physical properties and erosion as a function of soil type

Ingraffia

Amato

Bagarello

et al. 2022

SOIL

Self Cite

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Abstract. Microplastics are recognized as a factor of global change contaminating many environmental compartments. Agricultural soils are very likely to receive microplastic contamination and are of particular concern due to their role in food production. Microplastic fibers have already been shown to be able to affect soil properties, but their effect on different soil types is poorly understood. Moreover, limited information is available on how the presence of this pollutant can affect soil water erosion processes, which are extremely important issues in many environments. In the light of this, we performed two experiments (carried out on a microscale) to investigate how the presence of polyester microplastic fibers affects soil physical and hydrological parameters and processes such as aggregate formation and soil erosion in three different agricultural soil types (a Vertisol, an Entisol, and an Alfisol). Our data show that the effects of polyester microplastic fibers on soil physical parameters and erosion are strongly dependent on soil type. We found that microplastic fiber contamination can affect soil bulk density, capacitive indicators of soil physical quality, and decrease the formation of new aggregates (labile in the incubation period applied in our experiments) but did not affect their stability in water. However, we found that polyester microplastic fibers reduced soil loss and sediment concentration, especially in the most erodible soils. In this paper, we provide some hypotheses, but certainly future data are still needed to confirm or disprove our hypotheses. Overall, our results highlight the importance of broadly exploring soil properties, such as texture, mineralogy, organic carbon content, etc., to better understand how the various soil types respond to microplastic fiber contamination.

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Predicting plot soil loss by empirical and process-oriented approaches. A review

Cited by 15 publications

References 68 publications

The Effect of Erosion Control Practices on the Vulnerability of Soil Degradation in Oued EL Malleh Catchment using the USLE Model Integrated into GIS, Morocco

The Effect of Erosion Control Practices on the Vulnerability of Soil Degradation in Oued EL Malleh Catchment using the USLE Model Integrated into GIS, Morocco

Current approaches for modeling ecosystem services and biodiversity in agroforestry systems: Challenges and ways forward

Polyester microplastic fibers affect soil physical properties and erosion as a function of soil type

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