Spatial assessment of soil erosion risk by integrating remote sensing and GIS techniques: a case of Tensift watershed in Morocco

Meliho, Modeste; Khattabi, Abdellatif; Mhammdi, Nadia

doi:10.1007/s12665-020-08955-y

Cited by 53 publications

(15 citation statements)

References 34 publications

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Section: Soil Erosion Rate In Relation To Land Usesupporting

confidence: 94%

“…From the examination of Tables 8 and 9, it was verified that erosion loss was found mainly in agricultural lands (AGRL) with an area of 48.1% and 59.58%, Followed by bare lands (BARR) with 38.27% and 25.26% in RUSLE equation and SWAT model respectively. These findings are in line with the results of previous studies [67]. It is important to highlighted here that the affected areas by soil erosion are expected to be affected in the future in the north and south parts of the watershed.…”

Section: Soil Erosion Rate In Relation To Land Usesupporting

confidence: 93%

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Water Erosion Monitoring and Prediction in Response to the Effects of Climate Change Using RUSLE and SWAT Equations: Case of R’Dom Watershed in Morocco

Alitane¹,

Essahlaoui²,

Hafyani³

et al. 2022

Land

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Soil erosion is an increasingly issue worldwide, due to several factors including climate variations and humans’ activities, especially in Mediterranean ecosystems. Therefore, the aim of this paper is: (i) to quantify and to predict soil erosion rate for the baseline period (2000–2013) and a future period (2014–2027), using the Revised Universal Soil Loss Equation (RUSLE) and the Soil and Water Assessment Tool (SWAT) model in the R’Dom watershed in Morocco, based on the opportunities of Remote Sensing (RS) techniques and Geographical Information System (GIS) geospatial tools. (ii) we based on classical statistical downscaling model (SDSM) for rainfall prediction. Due to the lack of field data, the model results are validated by expert knowledge. As a result of this study, it is found that both agricultural lands and bare lands are most affected by soil erosion. Moreover, it is showed that soil erosion in the watershed was dominated by very low and low erosion. Although the area of very low erosion and low erosion continued to decrease. Hence, we hereby envisage that our contribution will provide a more complete understanding of the soil degradation in this study area and the results of this research could be a crucial reference in soil erosion studies and also may serve as a valuable guidance for watershed management strategies.

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Section: Soil Erosion Rate In Relation To Land Usesupporting

confidence: 94%

Section: Soil Erosion Rate In Relation To Land Usesupporting

confidence: 93%

Water Erosion Monitoring and Prediction in Response to the Effects of Climate Change Using RUSLE and SWAT Equations: Case of R’Dom Watershed in Morocco

Alitane¹,

Essahlaoui²,

Hafyani³

et al. 2022

Land

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“…Topographic factors mostly slope gradient and length play a prominent role in the catchment morphological process and soil loss dynamics by affecting surface runoff, and drainage density (Navas 2013;Koirala et al 2019;Meliho et al 2020). These two factors have a strong correlation with the rate of SL (Uddin et al 2016;Mishra et al 2019;Meliho et al 2020). Nepal is prone to severe soil erosion because of its high mountainous areas with rugged topography (Chinnasamy and Sood 2020).…”

Section: Variation Of Soil Loss With Slopementioning

confidence: 99%

Spatial distribution of soil erosion and sediment yield in the Koshi River Basin, Nepal: a case study of Triyuga watershed

et al. 2021

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Purpose Understanding the spatial dynamics of soil loss (SL) and sediment yield (SY) from ungauged watersheds would have a profound importance to devise informed land resource and flood management strategies. Such information particularly substantial for rivers like Koshi, that typically causing severe land degradation and frequent devastating flood risks to large number of inhabitants in the basin. This study aimed to estimate the spatial heterogeneity of mean annual SL and SY in Triyuga river watershed (TRW) and delivers into Sapta-Koshi. Materials and methodsThe Revised Universal Soil Loss Equation (RUSLE) and Slope-based Sediment Delivery Ratio (SDR) models along with Geographic Information System (GIS) and remote sensing techniques were applied. Results and discussionThe mean SL and SY were found to be 31 and 3.04 t/ha/year, respectively. Accordingly, an estimated 2.2 × 10 5 tons of sediment was delivered into the Sapta-Koshi river annually. In this watershed, nearly 62% of the area is under the category of high to very severe soil loss rate (SLR), which together accounted for 96% of the total SL in the TRW. The critical SLR was mostly distributed along the northern escarpment of the study area. Most of the sloping areas in the northwestern and some patches of the northeastern tip regions that accompany with slope class > 26.8% are particularly vulnerable to severe SL and SY in the TRW. In this regard, the RUSLE LS factor has played the significant (r = 0.88, p < 0.001) impact over other RUSLE factors. Conclusion High elevation and steep slope class in the northwestern and northeastern parts of the watershed are the major SL and SY hotspot sites that require special attention and priority for conservation interventions in the TRW.

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“…In recent years, with the rapid development of economic and social life, the intensification of human activities has led to the over-exploitation of natural resources and serious environmental pollution, resulting in a series of ecological and environmental problems, such as water resource shortages [ 1 , 2 ], biodiversity loss [ 3 , 4 ], and soil erosion [ 5 , 6 ]. Ecological security, therefore, cannot be ignored.…”

Section: Introductionmentioning

confidence: 99%

Constructing the Ecological Security Pattern of Nujiang Prefecture Based on the Framework of “Importance–Sensitivity–Connectivity”

Zhao

Yuan

et al. 2022

IJERPH

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Constructing an ecological security pattern is vital to guaranteeing regional ecological security. The terrain and geomorphology of the alpine valley are complex and sensitive, meaning it is difficult to construct ecological security patterns. Therefore, the study takes Nujiang Prefecture as the study area and builds an “Importance–Sensitivity–Connectivity” (Importance of ecosystem service, eco-environmental sensitivity, and landscape connectivity) framework to carry on the comprehensive evaluation of the ecological security and identification of ecological sources. Furthermore, we constructed an ecological resistance surface using land-use type. Using the minimum cumulative resistance (MCR) model, the study identifies the ecological corridors and nodes to build ecological security patterns to optimize the ecological spatial structure of Nujiang Prefecture. The results showed that (1) the importance of ecosystem services was higher in the west and lower in the east. The high-sensitive areas of the ecological environment were distributed discontinuously along the banks of the Nujiang and the Lantsang River, and the areas with high landscape connectivity were distributed in patches in the Gaoligong Mountain Nature Reserve and the Biluo Snow Mountain. (2) The overall ecological security was in a good state, and the ecologically insecure areas were primarily distributed in Lanping County and the southeast region of Lushui City. (3) The primary ecological source area was identified to be 3281.35 km2 and the secondary ecological source area to be 4224.64 km2. (4) In total, 26 primary ecological corridors, 39 secondary ecological corridors, and 82 ecological nodes were identified.

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Spatial assessment of soil erosion risk by integrating remote sensing and GIS techniques: a case of Tensift watershed in Morocco

Cited by 53 publications

References 34 publications

Water Erosion Monitoring and Prediction in Response to the Effects of Climate Change Using RUSLE and SWAT Equations: Case of R’Dom Watershed in Morocco

Water Erosion Monitoring and Prediction in Response to the Effects of Climate Change Using RUSLE and SWAT Equations: Case of R’Dom Watershed in Morocco

Spatial distribution of soil erosion and sediment yield in the Koshi River Basin, Nepal: a case study of Triyuga watershed

Constructing the Ecological Security Pattern of Nujiang Prefecture Based on the Framework of “Importance–Sensitivity–Connectivity”

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