scholarly journals DEGRADASI LAHAN PADA BERBAGAI TANAMAN PERKEBUNAN DI KABUPATEN DHARMASRAYA SUMATERA BARAT

Jurnal Solum ◽  
2007 ◽  
Vol 2 (1) ◽  
pp. 34
Author(s):  
Syafrimen Yasin ◽  
Herviyanti Herviyanti ◽  
David David
Keyword(s):  
Land Use ◽  
Bulk Density ◽  
Land Degradation ◽  
Oil Palm ◽  
Sampling Site ◽  
Soil Bulk Density ◽  
Soil Samples ◽  
Undisturbed Soil ◽  
Significant Difference ◽  
Plantation Crops

A reseach about determination land degradation on several plantation ecosystems in Dharmasraya Regency, West Sumatra. This research was aimed to study types of perennial crops (trees) which contributes to alleviate land degradation. The work was conducted in Sungai Rumbai Dystrict, Dharmasraya regency and in Soil Science Laboratory, Agriculture Faculty Andalas University. Soil samplings were taken at Ultisols having 0-8% slope (flate-undulating). Land use type being considered was original forest, oil palm, rubber, coffee, and cocoa plantation. Composite soil samples were taken for four replications on 1-20 cm depth. At each sampling site was accompanied by five drilling soils. Then, four undisturbed soil was also sampled at the same depth with disturbed soil samples for determining soil bulk density values. The data collected were analyzed statistically by using analyses of variance, and then continued by using Least Significant Difference (LSD) at 5% level. The result showed that rubber and cacao plantation contributed to better soil ecology value than oil palm and coffee land use. It could be proved from organic carbon (OC) and bulk density (BV) of the soils which were alsmost the same as those from forest land use. Key Words: Land degradation, plantation crops

Deriving regional pedotransfer functions to estimate soil bulk density in Austria

2020 ◽  
Vol 71 (4) ◽  
pp. 241-252
Author(s):  
Cecilie Foldal ◽  
Robert Jandl ◽  
Andreas Bohner ◽  
Ambros Berger
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Bulk Density ◽  
Linear Models ◽  
Soil Depth ◽  
Soil Bulk Density ◽  
Pedotransfer Functions ◽  
Undisturbed Soil ◽  
The Impact

Summary Soil bulk density is a required variable for quantifying stocks of elements in soils and is therefore instrumental for the evaluation of land-use related climate change mitigation measures. Our motivation was to derive a set of pedotransfer functions for soil bulk densities usable to accommodate different levels of data availabilities. We derived sets of linear equations for bulk density that are appropriate for different forms of land-use. After introducing uncertainty factors for measured parameters, we ran the linear models repeatedly in a Monte Carlo simulation in order to test the impact of inaccuracy. The reliability of the models was evaluated by a cross-validation. The single best predictor of soil bulk density is the content of soil organic carbon, yielding estimates with an adjusted R2 of approximately 0.5. A slight improvement of the estimate is possible when additionally, soil texture and soil depth are known. Residual analysis advocated the derivation of land-use specific models. Using transformed variables and assessing land-use specific pedotransfer functions, the determination coefficient (adjusted R2) of the multiple linear models ranged from 0.43 in cropland up to 0.65 for grassland soils. Compared to pedotransfer function, from the literature, the performance of the linear modes were similar but more accurate. Taking into account the likely inaccuracies when measuring soil organic carbon, the soil bulk density can be estimated with an accuracy of +/− 9 to 25% depending on land-use. We recommend measuring soil bulk density by standardized sampling of undisturbed soil cores, followed by post-processing of the samples in the lab by internationally harmonized protocols. Our pedotransfer functions are accurately and transparently presented, and derived from well-documented and high-quality soil data sets. We therefore consider them particularly useful in Austria, where the measured values for soil bulk densities are not available.

scholarly journals Machine-Learning Classification of Soil Bulk Density in Salt Marsh Environments

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4408
Author(s):  
Iman Salehi Hikouei ◽  
S. Sonny Kim ◽  
Deepak R. Mishra
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Salt Marsh ◽  
Bulk Density ◽  
Remote Sensing Data ◽  
Soil Bulk Density ◽  
Soil Samples ◽  
Marsh Soil ◽  
Landsat 7 ◽  
Salt Marsh Soil

Remotely sensed data from both in situ and satellite platforms in visible, near-infrared, and shortwave infrared (VNIR–SWIR, 400–2500 nm) regions have been widely used to characterize and model soil properties in a direct, cost-effective, and rapid manner at different scales. In this study, we assess the performance of machine-learning algorithms including random forest (RF), extreme gradient boosting machines (XGBoost), and support vector machines (SVM) to model salt marsh soil bulk density using multispectral remote-sensing data from the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) platform. To our knowledge, use of remote-sensing data for estimating salt marsh soil bulk density at the vegetation rooting zone has not been investigated before. Our study reveals that blue (band 1; 450–520 nm) and NIR (band 4; 770–900 nm) bands of Landsat-7 ETM+ ranked as the most important spectral features for bulk density prediction by XGBoost and RF, respectively. According to XGBoost, band 1 and band 4 had relative importance of around 41% and 39%, respectively. We tested two soil bulk density classes in order to differentiate salt marshes in terms of their capability to support vegetation that grows in either low (0.032 to 0.752 g/cm3) or high (0.752 g/cm3 to 1.893 g/cm3) bulk density areas. XGBoost produced a higher classification accuracy (88%) compared to RF (87%) and SVM (86%), although discrepancies in accuracy between these models were small (<2%). XGBoost correctly classified 178 out of 186 soil samples labeled as low bulk density and 37 out of 62 soil samples labeled as high bulk density. We conclude that remote-sensing-based machine-learning models can be a valuable tool for ecologists and engineers to map the soil bulk density in wetlands to select suitable sites for effective restoration and successful re-establishment practices.

scholarly journals DEGRADASI LAHAN PADA KEBUN CAMPURAN DAN TEGALAN DI KABUPATEN DHARMASRAYA

Jurnal Solum ◽  
2007 ◽  
Vol 4 (1) ◽  
pp. 5
Author(s):  
Syafrimen Yasin ◽  
Gusnidar Gusnidar ◽  
Dedy Iskandar
Keyword(s):  
Land Use ◽  
Soil Depth ◽  
Soil Surface ◽  
Soil Samples ◽  
Imperata Cylindrica ◽  
Undisturbed Soil ◽  
Fertility Status ◽  
Land Use Types ◽  
Bulk Volume ◽  
Soil Fertility Status

A research conducted in Sungai Rumbai, Dharmasraya Regency and in Soil Laboratory Andalas university was aimed to evaluate soil fertility status on the depth below 0-20 cm from several land use types , especially under Mixed Garden and annual cultivated dryland soil.  Soil samples were taken on Ultisol at 0-8% slope (late-waving soil surface).  Land use types evaluated were forest, annual cultivated dryland, bush land, rangeland covered by Imperata cylindrica and mixed garden.  Composite soil samples for soil chemical analysis were taken on the 0-20 cm soil depth with four replications, and 5 drillings for each replication.  Undisturbed soil samples by using sample ring were used to analyze sol bulk volume.  The data resulted were compared to the criteria and were statistically tested using Analysis of Variance and then were continued by LSD at 5% level.  From the results of analyses could be concluded that land use  for mixed garden had the higher Organic Carbon (OC) content and the lower bulk volume (BV) than those for annual cultivated dryland soil.Key Words: Degradasi Lahan, Kebun Campuran, Tegalan

scholarly journals Alternative method for volumetric core removal in hardsetting soils

2005 ◽  
Vol 62 (5) ◽  
pp. 493-497 ◽  
Author(s):  
Herdjania Veras de Lima ◽  
Álvaro Pires da Silva ◽  
Sílvia Imhoff ◽  
Afrânio Ferreira Neves Junior
Keyword(s):  
Soil Bulk Density ◽  
Field Method ◽  
Laboratory Method ◽  
Soil Samples ◽  
Soil Core ◽  
Hydraulic Pump ◽  
Undisturbed Soil ◽  
Alternative Method ◽  
Moisture Conditions ◽  
Large Soil

Due to the narrow window of ideal moisture conditions required for collecting undisturbed soil samples from hardsetting horizons in the field, this study compared the efficiency of an alternative method of soil core removal in the laboratory with that of the traditional field method by using measurements of soil bulk density data (Db). In a first sampling, cylinders were removed with a soil sampler in the field. In a second sampling, large soil blocks were removed with Kubiena-type zinc (brass) boxes in the field. Volumetric core cylinder samples were removed from these blocks in the laboratory with a manual hydraulic pump. There were no differences between the Db values determined from the laboratory and the field coring method. The laboratory method was considered more efficient than the field method because it allowed reductions in the errors made by operators in the field, and those caused by differences in soil water content. The laboratory method allows sampling in hardsetting horizons throughout the year, and collecting soil core samples under conditions of controlled moisture and applied force.

scholarly journals Assessment of fertility status of soils under land use types in Egbema Area, Imo State, Nigeria

2020 ◽  
Vol 17 (2) ◽  
pp. 1-13
Author(s):  
C. Chikere-Njoku
Keyword(s):  
Land Use ◽  
Bulk Density ◽  
Soil Ph ◽  
Oil Palm ◽  
Fallow Land ◽  
Cultivated Land ◽  
Fertility Status ◽  
Oil Palm Plantation ◽  
Land Use Types ◽  
Land Use System

The study was conducted to investigate fertility status under four different land use types (oil palm plantation, pineapple orchard, cassava cultivated land and fallow land use system) in Umuekem, Ohaji/Egbema of Imo State, Nigeria. Composite samples were collected from various depths (10-15cm, 15-30cm, 30-45cm) across these land use patterns and analyzed in the laboratory using the standard procedure. Data generated were subjected to statistical analysis. Results obtained showed significant differences (p ≥ 0.05) in silt-clay ratio, bulk density, total porosity, water holding capacity, soil pH, organic carbon, available phosphorus, TN and ECEC across the four land use types studied. The soils were predominantly loamy sand surface and sandy clay loam in the subsoil exception of pineapple orchard with sandy loam topsoil over sandy clay loam subsoil. The silt clay ratio (SCR) showed ranges of 0.10-0.30, 0.10-0.36, 0.07 – 0.30, and 0.06- 0.20 in land use types of oil palm plantation, pineapple orchard, cassava cultivated land and fallow land respectively. The bulk density ranged of (1.61 – 1.77 g/cm3) for oil palm, (1.34 – 1.58 g/cm3) for pineapple (1.42 – 1.49 g/cm3) cassava and (1.45 – 1.48 g/cm3) in forest land use system. The soils of the four land use types were generally acidic. The mean values of soil pH (H20) were oil palm plantation (5.11), pineapple orchard (5.03), cassava cultivated land (5.35) and fallow land (5.40). The soil pH recorded low variation in all the land use types. The organic carbon and total nitrogen recorded high variation (>52.57% < 85.67%, >79.19 < 95.77) in all the different land use types. Calcium-magnesium ratio (Ca: Mg) recorded high variation (37.36%) in forest land use system, low variation (18.77%) in pineapple orchard and moderate in cassava (27.51%) and oil palm plantation (28.23). The low Ca: Mg ratio inhibits uptake and causes Ca deficiency thereby resulting in low fertility status of the soil. C: P recorded high variation (≥ 53.77% ≤ 77.73%) in all the studied land use types. O.C correlated positively and highly significant with available phosphorus, ECEC and T.N. The findings also indicated that bulk density correlated positively with ECEC and percentage base saturation. It is recommended that land use approach should be adopted for effective and sustainable management of the soil fertility. Keywords: Fertility status, Soils, Land use types

scholarly journals Agricultural Expansion-Induced Infiltration Rate Change in a West African Tropical Catchment

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Yacouba Yira ◽  
Aymar Y. Bossa
Keyword(s):  
Land Use ◽  
Bulk Density ◽  
Agricultural Land ◽  
Infiltration Rate ◽  
West African ◽  
Water Dynamics ◽  
Saturation State ◽  
Fertility Reduction ◽  
Significant Difference ◽  
Agricultural Land Expansion

Land use and land cover in the Dano catchment is characterized by a rapid conversion from seminatural vegetation (fallow) to agriculture (cropland). The study compares both the saturated (Ks) and the unsaturated (Kh) hydraulic conductivities under cropland and fallow in the catchment to gain insights into the effect of the current land use on soil water dynamics. Hydraulic conductivity was measured under forty-two (42) pairs of adjacent cropland-fallow plots using a Hood infiltrometer. Ks, Kh, bulk density, and soil texture were further compared using a paired two-tailed Student’s t-test (p=0.05). The results showed that both Ks and Kh are highly variable irrespective of the land use type (coefficient of variation > 100%). The results also showed that Ks was significantly higher (1.16-fold on average) under fallow compared to cropland. As for Kh, the results showed that, from −2 cm to zero tension heads (h), Kh under cropland and fallow is not significantly different; however, as the supplied tension decreases up to the saturation state, Kh under fallow becomes statistically higher compared to cropland. No significant difference was found between soil textures and bulk density under cropland and fallow meaning that the observed differences of Ks and Kh under cropland and fallow were caused by land use and not preexisting difference in texture. These results suggest an increasing risk of erosion, soil fertility reduction, and flood in the catchment because of agricultural land expansion.

scholarly journals Effect of land-use practices on species diversity and selected soil property in Somodo Watershed South-Western Ethiopia

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252305
Author(s):  
Leta Hailu ◽  
Gizaw Tesfaye ◽  
Kalkidan Fikirie ◽  
Yalemtsehay Debebe
Keyword(s):  
Land Use ◽  
Species Diversity ◽  
Soil Properties ◽  
Positive Impact ◽  
Soil Samples ◽  
Home Garden ◽  
Natural Forests ◽  
Land Use Systems ◽  
Significant Difference ◽  
Land Use Practices

This study was conducted in Somodo Watershed to investigate the land-use practices and its effect on species diversity and selected soil properties. Field observation was carried out to identify existing land-use practices following a transect line. A total of 20 plots (10 × 10) m2 were sampled from plots exhibiting different land-use practices found in the watershed in order to evaluate species richness and diversity. Soil samples were also collected from each plot. The soil samples were analyzed following standard laboratory procedures. The result of the analysis showed that there was a significant difference (p<0.05) in species diversity and richness among different land-use practices. Coffea arabica was dominant in homestead gardens and natural forests while Grevillea robusta showed had maximum richness in plantations and farm forests in the Watershed. Furthermore, home garden agroforestry practice was significantly (p<0.05) affected soil pH compared to other land-use systems (cultivated land, natural forest, and plantation forest. While Organic carbon (OC), Total nitrogen (TN), and Carbon to Nitrogen ratio (C: N) did not show significance difference among land-use systems in the watershed. The study has concluded that different land-use practices had a positive impact on sustaining species diversity, richness, and improve soil properties. Therefore, the study suggests that improving and expanding home garden agroforestry practices in the area are indispensable for environmental protection and soil fertility enhancement.

Micro-morphological analysis of the effect of sampling by the volumetric ring method on soil structure

2007 ◽  
Vol 3 (1) ◽  
pp. 1-19
Author(s):  
Luiz Pires ◽  
Miguel Cooper ◽  
Nivea Dias ◽  
Osny Bacchi ◽  
Klaus Reichardt
Keyword(s):  
Image Analysis ◽  
Bulk Density ◽  
Size Distribution ◽  
Soil Structure ◽  
Soil Bulk Density ◽  
Soil Samples ◽  
Pore Shape ◽  
Sampling Device ◽  
Structure Changes ◽  
Ring Method

This report investigates the effect of sampling by the volumetric ring method on pore size number and shape distributions. Soil porosity was analyzed using the micromorphological image analysis technique, which helped to explain soil structure changes near the border of samples collected in cylinders and provided detailed information about pore shape, number, and size distribution variations along the samples. Compaction due to sampling affects mainly large irregular and rounded pores of the soils utilized in this study. When evaluating inaccuracies in density measurements due to the compacted regions caused by the sampling device the average soil bulk density for each soil resulted in the ranges of 1.72 ± 0.05 g.cm −3 for Geric Ferralsol soil, 1.66 ± 0.03 g.cm −3 for Eutric Nitosol soil and 1.33 ± 0.05 g.cm −3 for Rhodic Ferralsol soil, respectively. When calculating the average soil bulk density over smaller regions, e.g. in the center of each sample (area of 17.14 mm 2 ) results reduced to 1.64 ± 0.05 g.cm −3 with Geric Ferralsol soil, 1.56 ± 0.03 g.cm −3 with Eutric Nitosol soil and 1.29 ± 0.10 g.cm −3 with Rhodic Ferralsol soil, respectively. These results clearly indicate the effect of sampling by the volumetric ring method. The use of image analysis was essential to explain compaction differences close to the border of the samples collected using cylinders (volumetric ring method) and provided detailed information about pore shape and size distribution variations within soil samples. The results are useful as indicators of the consequences of sampling on the quality of soil samples.

scholarly journals Physico-Chemical Properties of Soil in Jita and Taksar Area of Lamjung District, Nepal

2018 ◽  
Vol 11 ◽  
pp. 45-62
Author(s):  
Jitan Dahal ◽  
Chhabi Lal Chidi ◽  
Umesh Kumar Mandal ◽  
Jyoti Karki ◽  
Narendra Raj Khanal ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Texture ◽  
Environmental Sustainability ◽  
Chemical Properties ◽  
Soil Samples ◽  
Slope Gradient ◽  
Chi Square ◽  
Dominant Soil ◽  
Significant Difference ◽  
Properties Of Soil

 Physicochemical property of top layer of soil is very important for plant growth having life supporting agriculture production, forestry and environmental sustainability. Soil texture and its chemical properties are determined by various factors inversely soil property determines productivity for them. This study was conducted in Jita and Taksar area of Lamjung district of Nepal. Soil samples were collected from the field. Coarse fragments, soil texture and pH were measured from soil samples. Properties of soil were analyzed by mechanical and chemical methods such as sieve, hydrometer and digital pH meter. Dominant soil textural class is loam followed by silt loam. Higher proportion of sand is found in higher elevation and steeper slope. Inverse relationship is found of silt. Dominant soil is found to be slightly to moderately acidic. Soil pH level decreases with increasing altitude and slope gradient. Cultivated land is less acidic than other land cover category. It is found that lower elevation and lower slope gradient have more proportion of coarse fragments. Chi-square test proves the significant difference of pH, soil texture class, soil particle size and coarse fragment at different elevation, slope gradient and land use. However, variation of sand at different slope gradient and land use is not explained well.The Geographical Journal of NepalVol. 11: 45-62, 2018

scholarly journals Soil properties and crop yield under different tillage methods for rapeseed cultivation in paddy fields

2015 ◽  
Vol 60 (1) ◽  
pp. 11-22
Author(s):  
Mohammad Alizadeh ◽  
Alireza Allameh
Keyword(s):  
Seed Germination ◽  
Grain Yield ◽  
Bulk Density ◽  
Crop Yield ◽  
Block Design ◽  
Soil Bulk Density ◽  
Dry Mass ◽  
No Till ◽  
Significant Difference ◽  
Tillage Methods

A two-year research was conducted to investigate the effect of different tillage methods on some soil physical characteristics and crop yield in rapeseed cultivation after rice harvesting. Five tillage treatments including: (i) using rotavator, once to depth of 10-15 cm (T1), (ii) using rotavator, twice to depth of 10-15 cm (T2), (iii) using moldboard plow to depth of 25 cm + rotavator, once to depth of 10-15 cm (T3), (iv) no-till planting through removing rice stubbles from plots (T4), and (v) no-till planting without removing rice stubbles from plots (T5), were evaluated under randomized complete block design (RCBD) in three replications. The biannual results revealed that the effect of tillage methods was significant (p<0.01) on soil bulk density, surface residues after tillage, dry mass of weeds, seed germination, and grain yield. T2 and T3 made considerable reduction in soil bulk density compared to other treatments for the 15- to 30-cm tillage depths. In T1, T2, T3, and T4, surface residues after tillage decreased in comparison with T5 by up to 35.37, 50.71, 69.92, and 75.75%, respectively. Having 71.48 g m-2, T5 had the maximum dry mass of weeds while T3 had the minimum one with 37.50 g m-2. Means comparison represented that in T2 and T3, seed germination reached the shortest length of 6.4 days in average. The highest and lowest grain yields were acquired in T3 (1,571 kg ha-1) and T5 (1,339 kg ha-1), respectively. Statistically, there was no significant difference between T1 (1,432 kg ha-1) and T2 (1,537 kg ha-1) compared with T3 in terms of grain yield.

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