Spatial variability of selected soil properties in relation to land use and slope position in Gelana sub-watershed, Northern highlands of Ethiopia

Miheretu, Birhan Asmame; Yimer, Assefa Abegaz

doi:10.1080/02723646.2017.1380972

Cited by 40 publications

(32 citation statements)

References 33 publications

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“…In northern highlands of Ethiopia, Miheretu and Abegaz (2017) studied the apparent changes in some soil properties as an impact of different land uses and slope position. The study reported a decline in soil fertility as a result of changes in land uses from forest to grazing and cropland.…”

Section: Past and Present Scientific Evidence Of Soil Organic Carbon mentioning

confidence: 99%

Advances in quantifying soil organic carbon under different land uses in Ethiopia: a review and synthesis

et al. 2019

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Background: In the face of climate change and global warming, scientists globally are striving for effective techniques on how best to sequester carbon in order to reduce global warming and achieve environmental sustainability. This paper reviews the available literature on the influence of various land use changes on gains and/ or losses of soil carbon (C) stocks in Ethiopia. Results: Our review indicated that 33.3% of the studies reported soil organic carbon (SOC) concentration, 13.9% reported only SOC stock while 52.8% reported both SOC concentration and stock. Studies focusing on 0-30 cm only were 44%, other studies extending up to 40 to 100 cm were 50%, and studies extending to more than 100 cm accounted for 2.8% while studies without any depth specification accounted for 2.8%. Irrespective of soil type, C stocks in the top soil (0-30 cm) were found to be higher than at subsoil depths. Even though there is significant improvement in C sequestration in exclosures and community forests, the level of C sequestered is still below that of church forests. Conclusion: Conversion of native forest to other land uses resulted in a significant decrease in the SOC stocks across Ethiopia. Absence of long-term field trials and non-existence of SOC database are among the major drawbacks of SOC studies in Ethiopia identified in this review. With better management practices, it is possible to restore depleted C concentrations and stocks even in degraded lands and to conserve C in more pristine lands across the rugged landscapes of Ethiopia.

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Section: Past and Present Scientific Evidence Of Soil Organic Carbon mentioning

confidence: 99%

Advances in quantifying soil organic carbon under different land uses in Ethiopia: a review and synthesis

et al. 2019

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“…However, the P in agricultural land (11.89 kg ha −1 ) was not significantly different from agroforestry or grassland at P < 0.05. Higher P content in the agricultural lands could be explained by the application of P-containing fertilizer (such as DAP, which contains 18% N and 46% P) (Pandey et al, 2018), and by the application of manure including FYM for soil fertility (Miheretu & Yimer, 2018). The study area was dominated by low and medium classes of soil P ( Figure 6).…”

Section: Available Phosphorusmentioning

confidence: 99%

Spatial Variability of Soil Properties under Different Land Use in the Dang District of Nepal

Panday¹,

Ojha²,

Chalise³

et al. 2018

Preprint

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A study was carried out in the eastern part of Dang district in Nepal to assess the variability of selected soil properties due to different land use and map their spatial distribution. Considering three land use types (agriculture, agroforestry, and grassland), a total of 120 samples were collected from surface soil (0 to 15 cm depth) in May 2015 and analyzed for soil fertility parameters: pH, organic matter (OM), nitrogen (N), phosphorus (P), potassium (K), boron (B), and zinc (Zn). Results revealed that the average value of soil pH significantly (P<0.05) varied from 7.05 in agroforestry to 7.53 in agriculture land use. Soil OM and N contents were medium in range in all land use with slight variation, the highest average OM and N found in grassland (2.87% and 0.14% respectively), followed by agriculture (2.64% and 0.13% respectively), and agroforestry (2.45% and 0.12% respectively). Further, the results showed significant variation for P among agroforestry (18.99 kg ha-1) and grassland (8.49 kg ha-1) while the K content was the highest for grassland (144 mg kg-1) and lowest for agriculture (120 mg kg-1). Micronutrients- B was low (0.28 to 0.35 mg kg-1) and Zn was very low (0.14 mg kg-1) in all land use. There is a need to add appropriate fertilizer N, P, B, and Zn to the soil in order to increase the fertility status under different land use. Spatial variability maps for soil chemical properties can be used by farmers and local planners to make effective soil management strategies.

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“…Many scholars have studied the spatial distribution characteristics of various soil properties by this method (Zhang & Li, 2002; Zhang & Li, 2010; Liu, Shao & Wang, 2011; Turgut & Öztaş, 2012; Liu, Shao & Wang, 2013a). However, most of these studies were limited to a single terrain (Huang et al, 2012; Zhao et al, 2017), vegetation type Riha, Senesac & Pallant, 1986; Zaremehrjardi, Taghizadehmehrjardi & Akbarzadeh, 2010), land use (Mao et al, 2014; Miheretu & Yimer, 2017) or other environmental factors, but analysis of them simultaneously is still lack.…”

Section: Introductionmentioning

confidence: 99%

Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China

Yan

Hua

Yan

et al. 2019

PeerJ

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Soil pH is the main factor affecting soil nutrient availability and chemical substances in soil. It is of great significance to study the spatial variability of soil pH for the management of soil nutrients and the prediction of soil pollution. In order to explore the causes of spatial variability in soil pH in red-bed areas, the Nanxiong Basin in south China was selected as an example, and soil pH was measured in the topsoil by nested sampling (0–20 cm depth). The spatial variability characteristics of soil pH were analyzed by geostatistics and classical statistical methods, and the main factors influencing spatial variability in soil pH are discussed. The coefficient of variation in the red-bed areas of Nanxiong Basin was 17.18%, indicating moderate variability. Geostatistical analysis showed that the spherical model is the optimal theoretical model for explaining variability in soil pH, which is influenced by both structural and random factors. Analysis of the spatial distribution and pattern showed that soil pH is relatively high in the northeast and southwest, and is lower in the northwest. These results indicate that land use patterns and topographic factors are the main and secondary influencing factors, respectively.

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Spatial variability of selected soil properties in relation to land use and slope position in Gelana sub-watershed, Northern highlands of Ethiopia

Cited by 40 publications

References 33 publications

Advances in quantifying soil organic carbon under different land uses in Ethiopia: a review and synthesis

Advances in quantifying soil organic carbon under different land uses in Ethiopia: a review and synthesis

Spatial Variability of Soil Properties under Different Land Use in the Dang District of Nepal

Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China

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