effects of land use
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2022 ◽  
Vol 176 ◽  
pp. 106512
Author(s):  
Genbatu Ge ◽  
Jingbo Zhang ◽  
Xiaona Chen ◽  
Xiangjie Liu ◽  
Yuguang Hao ◽  
...  

2022 ◽  
Author(s):  
Begna Tesema Bekana ◽  
Tolera Megersa Gudeta ◽  
Fedhasa Benti Chalchisa

Abstract BackgroundThe complex nature of the relationship and interaction between LULC and slope gradients resulted in the decline of soil fertility parameters, which aggravate the reduction of sustainable productivity in Ethiopia in general and the study area in particular. This study was aimed to determine the effects of land use land cover and slope gradients on the physicochemical properties of soil in study area A total of 27 composite soil samples were collected from 0-20cm depth under three dominant adjacent LULC across three slope with three replications. The collected soil samples were analyzed for selected soil physicochemical properties. Two-way ANOVA was used to test the mean differences of the soil fertility parameters. ResultThe mean values of soil physicochemical parameters showed that, SOC, TN, AvP, CEC, exchangeable bases (Ca2+ Mg2+, K+, and Na+), PBS, and percentage of clay contents of cultivated land and steep slope gradient (15-30%) were low and significantly different at (P≤0.05) than forest and grad grassland of the same slope gradient.. The gentle slope (3-8%) gradients of the forest lands had the lowest BD and high TP as compared to the others.ConclusionThe overall soil fertility status of the steep slope gradient (15-30%) of cultivated lands is lower than others and cultivating the steep slope is the cause for productivity loss in the study sub-watershed. Therefore, proper land-use planning and the use of integrated soil fertility management strategy give better production and keep the soil fertility status to a better level.


2022 ◽  
Vol 102 ◽  
pp. 103115
Author(s):  
Qifan Shao ◽  
Wenjia Zhang ◽  
Xinyu (Jason) Cao ◽  
Jiawen Yang

2021 ◽  
Vol 14 (1) ◽  
pp. 162
Author(s):  
Jamal Suliman Alawamy ◽  
Siva K. Balasundram ◽  
Ahmad Husni Mohd. Hanif ◽  
Christopher Teh Boon Sung

Conversion of native lands into agricultural use, coupled with poor land management practices, generally leads to changes in soil properties. Understanding the undesirable effects of land-use and land-cover (LULC) changes on soil properties is essential when planning for sustainable land management. This study was conducted in Al Jabal Al Akhdar region, Libya, to assess the effects of land-use and land-cover changes on soil quality inferred by analyzing the relative changes in 17 chemical, physical, and biological soil properties in the upper layer (0–20 cm) of disturbed and undisturbed soil systems. Soil samples were collected from 180 sampling sites with 60 from each of the three types of LULC prevalent in the study area: natural Mediterranean forests (NMF), rainfed agriculture (RA), and irrigated crops (IC). The soil properties of the two agricultural land uses were compared with soil properties under an adjacent natural forest, which served as a control to assess changes in soil quality resulting from the cultivation of deforested land. The results indicate significant reductions in most soil quality indicators under rainfed agriculture as compared to native forest land. Under irrigated agriculture, there were significant changes (p ≤ 0.05) in most of the soil quality indicators, generally, indicating a significant reduction in soil quality, except for improvement of nitrogen and phosphorus levels due to frequent fertilizer application. Our data support the notion that changes in land use and land cover, in the absence of sustainable management measures, induce deterioration of soil properties and ultimately may lead to land degradation and productivity decline.


2021 ◽  
Vol 38 ◽  
pp. 100934
Author(s):  
Luis Miguel Castillo Rápalo ◽  
Eduardo Morgan Uliana ◽  
Michel Castro Moreira ◽  
Demetrius David da Silva ◽  
Celso Bandeira de Melo Ribeiro ◽  
...  

2021 ◽  
Vol 193 (12) ◽  
Author(s):  
T. M. Sharannya ◽  
K. Venkatesh ◽  
Amogh Mudbhatkal ◽  
M. Dineshkumar ◽  
Amai Mahesha

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