Estimation of Soil Losses in Çapakcur Watershed (Bingol, Turkey) Using RUSLE Method and Comparison of Predicted Soil Losses with Sediment Yield

Demir, Yasin; Meral, Alperen; Demir, Azize Doğan

doi:10.18016/ksutarimdoga.vi.1059631

Cited by 6 publications

(1 citation statement)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[29] The attack of ROS on cellular membranes results in lipid peroxidation (LPO), which generates a variety of products, including reactive electrophiles, such as epoxides and aldehydes. [30] Polyunsaturated fatty acids are easy targets for ROS and once the LPO process is initiated, it continues as a selfsustaining free radical chain reaction. [31] LPO, a well-known mechanism of ROS-induced cellular damage, is used as an indicator of oxidative stress, and measurement of MDA is the most widely used method to determine the level of LPO.…”

Section: Discussionmentioning

confidence: 99%

The therapeutic effect of silibinin against 5‐fluorouracil‐induced ovarian toxicity in rats

Demir

Menteşe

Kucuk

et al. 2023

J Biochem & Molecular Tox

View full text Add to dashboard Cite

Abstract5‐Fluorouracil (5‐FU) is a fluoropyrimidine group antineoplastic drug with antimetabolite properties and ovotoxicity is one of the most important side effects. Silibinin (SLB) is a natural compound that is used worldwide and stands out with its antioxidant and anti‐inflammatory properties. The aim of this study was to evaluate the therapeutic effect of SLB in 5‐FU‐induced ovototoxicity using biochemical and histological analysis. This study was carried out in five main groups containing six rats in each group: control, SLB (5 mg/kg), 5‐FU (100 mg/kg), 5‐FU + SLB (2.5 mg/kg), and 5‐FU + SLB (5 mg/kg). The levels of ovarian malondialdehyde (MDA), total oxidant status (TOS), total antioxidant status (TAS), superoxide dismutase (SOD), catalase (CAT), 8‐hydroxy‐2′‐deoxyguanosine (8‐OHdG), tumor necrosis factor‐alpha (TNF‐α), myeloperoxidase (MPO), and caspase‐3 were determined using spectrophotometric methods. Hematoxylin and eosin staining method was employed for histopathological examination. MDA, TOS, 8‐OHdG, TNF‐α, MPO, and caspase‐3 levels in 5‐FU group were significantly increased compared with the control group, while the levels of TAS, SOD, and CAT were decreased (p < 0.05). SLB treatments statistically significantly restored this damage in a dose‐dependent manner (p < 0.05). Although vascular congestion, edema, hemorrhage, follicular degeneration, and leukocyte infiltration were significantly higher in the 5‐FU group compared with the control group, SLB treatments also statistically significantly restored these damages (p < 0.05). In conclusion, SLB has a therapeutic effect on the ovarian damage induced by 5‐FU via decreasing the levels of oxidative stress, inflammation, and apoptosis. It may be helpful to consider the usefulness of SLB as an adjuvant therapy to counteract the side effects of chemotherapy.

show abstract

Section: Discussionmentioning

confidence: 99%

The therapeutic effect of silibinin against 5‐fluorouracil‐induced ovarian toxicity in rats

Demir

Menteşe

Kucuk

et al. 2023

J Biochem & Molecular Tox

View full text Add to dashboard Cite

show abstract

Determination of soil quality index in areas with high erosion risk and usability in watershed rehabilitation applications

Demir

Meral

et al. 2023

Environ Monit Assess

View full text Add to dashboard Cite

Erosion is an important environmental issue threatening natural resources and ecosystems, especially soil and water. Soil losses occur in many parts of the world due to erosion at different degrees, and various rehabilitation plans have been carried out to reduce these losses. However, soil protection applications are generally carried out by considering only the essential characteristics of the soil. This may decrease the chance of success of rehabilitation applications. The present study aimed to determine the soil quality index (SQI) by weighting the soil quality parameters according to the Analytical Hierarchy Process (AHP) in the Çapakçur microcatchment (Bingöl, Türkiye) where soil loss is high. Accordingly, 428 soil samples were taken from the study area and analyzed. The soil losses in the Çapakçur watershed were calculated employing the Revised Universal Soil Loss Equation (RUSLE). To determine the soil quality index, a total of 20 indicators were used, including (i) physical soil properties, (ii) chemical soil properties, and (iii) soil nutrient content. Soil quality index results are divided into classes between 1 and 5. As a result of the study, the annual total amount of soil lost from the microcatchment was calculated as 96 915.20 tons, and the yearly average amount of soil lost from the unit area was calculated as 10.14 tons.ha-1. According to SQI, the largest area in the micro-catchment was Class-2 (weak), with 39.49%, whereas the smallest area was 1.4% (the most suitable). However, it was determined that there was a signi cant negative relationship between SQI and soil erodibility. Considering the SQI distribution of the area in the planning of soil protection and erosion prevention practices in watershed rehabilitation studies may increase success.

show abstract

Incorporation of management responses in the direction of soil erosion changes from the past to the future based on the RUSLE and DPSIR model

Talebi,

Karimi

2024

Environmental and Sustainability Indicators

View full text Add to dashboard Cite

Estimation of Soil Losses in Çapakcur Watershed (Bingol, Turkey) Using RUSLE Method and Comparison of Predicted Soil Losses with Sediment Yield

Cited by 6 publications

References 60 publications

The therapeutic effect of silibinin against 5‐fluorouracil‐induced ovarian toxicity in rats

The therapeutic effect of silibinin against 5‐fluorouracil‐induced ovarian toxicity in rats

Determination of soil quality index in areas with high erosion risk and usability in watershed rehabilitation applications

Incorporation of management responses in the direction of soil erosion changes from the past to the future based on the RUSLE and DPSIR model

Contact Info

Product

Resources

About