Evaluation of the relationship between soil erosion and landscape metrics across Gorgan Watershed in northern Iran

Mirghaed, Fazlolah Ahmadi; Souri, Bubak; Mohammadzadeh, Marjan; Salmanmahiny, Abdolrassoul; Mirkarimi, Seyed Hamed

doi:10.1007/s10661-018-7040-5

Cited by 34 publications

(13 citation statements)

References 53 publications

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“…The highest amount of soil export occurs in rangelands because the relatively low density of vegetation and relatively steep slopes are among the important factors for increasing soil export in the rangelands. Other studies pointed to the effect of land use patterns on ecosystem services changes (Ahmadi Mirghaed et al 2018;Aghsaei et al 2020;Wu et al 2020;Yee et al 2021).…”

Section: Discussionmentioning

confidence: 99%

“…Erosion is a natural phenomenon that changes under the influence of various environmental and anthropogenic factors. The measurement of erosion in InVEST model was carried out based on the revised universal soil loss equation (RUSLE) which uses the climatic characteristics, altitude, soil characteristics, and land use as follows (Ahmadi Mirghaed et al 2018;Sharp et al 2020):…”

Section: Soil Exportmentioning

confidence: 99%

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Effect of Landscape Fragmentation on Soil Quality and Ecosystem Services in Land Use and Landform Types

Mirghaed

Souri

2021

Preprint

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This study was carried out according to the following objectives in the Shoor River Basin in southwestern Iran: (i) Evaluation of ecosystem services (ES) including habitat quality (HQ), carbon storage (CS), nutrient export (NE), and soil export (SE) using the InVEST approach as well as soil quality (SQ) using an integrated quality index; (ii) Assessment of the relationship between ES and SQ with landscape metrics using Pearson correlation test; and (iii) Investigation of the interaction between ES efficiency, SQ and landscape fragmentation using a ternary plot. The results showed that the northern and eastern parts of the region are prioritized for HQ, CS, and SQ but the southern and western parts for NE and SE. The highest ES efficiency and SQ were found for the forests as well as for the ridge/tops landforms. Statistical analysis clarified that there was a positive and significant relationship between HQ and CS (R>0.8) while the relationship of the two with NE was inverse and significant (-0.55<R<-0.50). The correlation between SE and NE was also positive and significant (R>0.50). SQ was also correlated positively and significantly with HQ and CS (0.43<R<0.5) while no relation with NE and SE was found. It was also perceived that increasing the landscape fragmentation decreases HQ, CS, and SQ but increases NE and SE. Besides, the interaction between ES, SQ, and landscape fragmentation across the sub-basins of the study area can change under the influence of the dominant land use and landform types.

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Section: Discussionmentioning

confidence: 99%

Section: Soil Exportmentioning

confidence: 99%

Effect of Landscape Fragmentation on Soil Quality and Ecosystem Services in Land Use and Landform Types

Mirghaed

Souri

2021

Preprint

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“…A landscape pattern index is used to describe the type and spatial arrangement of the landscape by considering different features such as size, shape, and connectivity [44]. A series of work has been conducted to investigate the relationship between soil erosion and landscape patterns (e.g., [45][46][47]). In this study, we introduce a landscape pattern index following Zhou [47].…”

Section: Landscape Pattern Index and Sediment Yieldmentioning

confidence: 99%

“…One of the best ways to project the rainfall-runoff and soil erosion dynamics under climate change is via numerical models that can address the complicated hydro-sedimentary dynamics. Such studies have been conducted by several scientists [35,44,45].…”

Section: Climate Change Scenariosmentioning

confidence: 99%

A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-Hydro

Yin

Xue

Gochis

et al. 2020

Water

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A soil erosion and sediment transport model (WRF-Hydro-Sed) is introduced to WRF-Hydro. As a process-based, fully distributed soil erosion model, WRF-Hydro-Sed accounts for both overland and channel processes. Model performance is evaluated using observed rain gauge, streamflow, and sediment concentration data during rainfall events in the Goodwin Creek Experimental Watershed in Mississippi, USA. Both streamflow and sediment yield can be calibrated and validated successfully at a watershed scale during rainfall events. Further discussion reveals the model’s uncertainty and the applicability of calibrated hydro- and sediment parameters to different events. While an intensive calibration over multiple events can improve the model’s performance to a certain degree compared with single event-based calibration, it might not be an optimal strategy to carry out considering the tremendous computational resources needed.

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“…Several investigators have used the RUSLE model to estimate soil loss in neighboring countries (i.e., Iran [49][50][51][52][53][54][55] and Turkey [56,57]), and have applied RUSLE to determine the Sediment Delivery Ratio (SDR) [55,58]. However, RUSLE and SY models have not been used in the Kurdistan Region, north of Iraq, for soil loss estimation.…”

Section: Introductionmentioning

confidence: 99%

New Insight on Soil Loss Estimation in the Northwestern Region of the Zagros Fold and Thrust Belt

Othman¹,

Obaid

Ali

et al. 2021

IJGI

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Soil loss is one of the most important causes of land degradation. It is an inevitable environmental and socio-economic problem that exists in many physiographic regions of the world, which, besides other impacts, has a direct bearing on agricultural productivity. A reliable estimate of soil loss is critical for designing and implementing any mitigation measures. We applied the widely used Revised Universal Soil Loss Equation (RUSLE) in the Khabur River Basin (KhRB) within the NW part of the Zagros Fold and Thrust Belt (ZFTB). The areas such as the NW Zagros range, characterized by rugged topography, steep slope, high rainfall, and sparse vegetation, are most susceptible to soil erosion. We used the Digital Elevation Model (DEM) of the Shuttle Radar Topography Mission (SRTM), Tropical Rainfall Measuring Mission (TRMM), Harmonized World Soil Database (HWSD), and Landsat imagery to estimate annual soil loss using the RUSLE model. In addition, we estimated sediment yield (SY) at sub-basin scale, in the KhRB where a number of dams are planned, and where basic studies on soil erosion are lacking. Estimation of SY will be useful in mitigation of excessive sedimentation affecting dam performance and watershed management in this region. We determined the average annual soil loss and the SY in the KhRB to be 11.16 t.ha−1.y−1 and 57.79 t.ha−1.y−1, respectively. The rainfall and runoff erosivity (R factor), slope length (L factor), and slope steepness (S factor), are the three main factors controlling soil loss in the region. This is the first study to determine soil loss at the sub-basin scale along with identifying suitable locations for check dams to trap the sediment before it enters downstream reservoirs. The study provides valuable input data for design of the dams to prevent excessive siltation. This study also aims at offering a new approach in relating potential soil erosion to the actual erosion and hypsometric integrals.

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Evaluation of the relationship between soil erosion and landscape metrics across Gorgan Watershed in northern Iran

Cited by 34 publications

References 53 publications

Effect of Landscape Fragmentation on Soil Quality and Ecosystem Services in Land Use and Landform Types

Effect of Landscape Fragmentation on Soil Quality and Ecosystem Services in Land Use and Landform Types

A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-Hydro

New Insight on Soil Loss Estimation in the Northwestern Region of the Zagros Fold and Thrust Belt

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