Physical Indicators of Soil Quality in Relation to Soil Erodibility Under Different Land Uses

Singh, Manpreet; Khera, K. L.

doi:10.1080/15324980902817147

Cited by 37 publications

(38 citation statements)

References 15 publications

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“…These critical levels were categorized from no limitation to extreme limitation in a scale of 1 to 5, respectively using a relative weighting factor (RWF) based on soil physical quality limitations for the crop production These indicators were AWHC, BD, WSA, AC, infiltration rate, mean weight diameter of soil aggregates (MWD), EC and SOC. Singh and Khera (2009) used SI and CR approaches with the same parameters selected by Shukla et al (2004). The results showed that SI was more suitable than CR for assessing the sustainability in terms of soil erodibility.…”

Section: Introductionmentioning

confidence: 99%

“…Under these conditions, the soil quality is often influenced by limiting factors such as high temperature, poor soil fertility, low AWHC, SOC and high concentrations of salt and pH. As Singh and Khera (2009) pointed out, studying land degradation through the soil quality assessment, that reflects soil functioning within the ecosystems, is crucial for sustainable management of land resources. The objectives of this study are to: 1) compare SI and CR approaches in evaluating the soil physical quality in terms of soil sustainability in Astan Quds experimental station.…”

Section: Introductionmentioning

confidence: 99%

“…Soil quality indices are considered the most common methods for soil quality evaluation due to ease of use, flexibility and quantification. These indices represent the cumulative effects of different soil properties (physical, chemical and ecological) as an index from the role of each indicator in soil quality (Drury et al, 2003;Singh and Khera, 2009). Agricultural soils with a good physical quality have a stable structure and appropriate resistance to the erosion and compaction.…”

Section: Introductionmentioning

confidence: 99%

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Determining soil indicators for soil sustainability assessment using principal component analysis of astan quds- east of mashhad- Iran

Ghaemi

Astaraei

Emami

et al. 2014

J. Soil Sci. Plant Nutr.

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Soil quality indicators are measurable soil attributes that reveal the soil productivity response or soil-environment functionality that are used to know whether soil quality is improving, remain constant, or declining. These characteristics could be assessed by different indices such as sustainability index approach (SI) based on the threshold levels of soil indicators and cumulative rating approach (CR) based on crop production limitations, which show the sustainability of soil ecosystem in terms of soil degradation. Since Iran is situated in arid and semi-arid climatic conditions, this research was conducted in agriculture fields of southeast of Mashhad, Iran for comparing these two approaches. Sixty three soil samples (0-30 cm) were collected and nine soil properties such as pH, electrical conductivity (EC), soil organic carbon (SOC), soil particle-size distribution, available water holding capacity (AWHC), bulk density (BD), air capacity (AC), relative field capacity (RFC) and sodium adsorption ratio (SAR) were measured. All these measurements were considered as total data set (TDS). Principal component analysis (PCA) was used to select more effective indicators to conform the minimum data set (MDS). There was a strong correlation between SI and CR (R 2 =0.69, p <0.05). Only six soil indicators selected as MDS (pH, SOC, AWC, BD and SAR) were correlated (p<0.01) significantly with SI and CR. These SI and CR results showed more promising effects on soil sustainability. PCA was found a suitable method for selecting the more effective indicators having R 2 = 0.77 (p <0.05) (CR-MDS versus CR-TDS) comparable with R 2 = 0.80 (p <0.05) (CR-MDS versus SI) to use less soil data input in assessing soil quality in arid zone.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determining soil indicators for soil sustainability assessment using principal component analysis of astan quds- east of mashhad- Iran

Ghaemi

Astaraei

Emami

et al. 2014

J. Soil Sci. Plant Nutr.

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“…Each sample was separately put on the top of the sieve (5 mm), and the fixed sieve analyzer shook at 270 rpm for 2 min. The distributed soil aggregates were collected separately in each sieve and weighed on an electrical balance to calculate the distribution of the 5, 5-2, 2-1, 1-0.5, and 0.5-0.25 mm soil aggregates [15][16][17], whereas for WSA 50 g of soil samples were placed in sieves and dipped into water, and the sieves were moved up and down for 2 min at 30 cycles/min. The remaining soil sample in each sieve was recorded to calculate the water aggregate stability [15][16][17]24,25], dry aggregate stability [25], mean weight diameter, and geometric mean diameter [25,26] by using the following formulas [17,[24][25][26].…”

Section: Sampling Procedures For Determination Of Aggregate Size Fractmentioning

confidence: 99%

Effects of Different Land-Use Systems on Soil Aggregates: A Case Study of the Loess Plateau (Northern China)

Kalhoro

Chen

et al. 2017

Sustainability

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Soil aggregate stability is an important indicator for controlling soil losses and can improve soil quality, particularly in an area such as the Loess Plateau. The objective of this study was to estimate the differences in soil aggregates across six different land-use systems (grassland, apple orchard, abandoned apple orchard, cropland maize, cropland wheat, and shrub-grassland). For this purpose, dry and wet sieving techniques were employed to assess aggregate content and aggregate stability. Higher percentages of water stable aggregates were observed in the abandoned apple orchard and shrub-grassland at 63% and 61%, respectively. The maximum dry aggregate stability (%) was recorded at 78% and 77% in both wheat cropland and common apple orchard, and the abandoned apple orchard was only 74%. Both mean weight diameters and geometric mean diameters of aggregate were recorded as higher in grassland, shrub-grassland, and the abandoned apple orchard, than the other land uses. The formation of soil aggregates and their stability were positively correlated with soil organic carbon content and root biomass of different plant communities. Higher amounts of soil organic carbon content were noted in the abandoned apple orchard, common apple orchard, and natural grassland at the 0-20 cm soil layer. The results of the correlation coefficient showed a positive significant correlation between the mean weight diameter, geometric diameter, root biomass, and soil organic carbon content. Conclusively, the type of land use affected the soil aggregation and distribution of size fractions; the small fractions of the aggregates formed large fractions by combining with fresh organic matter, and increased soil organic carbon concentrations were closely linked with the formation of macro-aggregates. Thus, converting slope farmland to forestland and grassland could improve water-stable aggregate and reduce soil disturbances in areas (like the Loess Plateau) with the highest erosion risk.

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“…The cation exchange capacity (CEC) was determined colorimetrically using ammonium nitrogen ( 4 NH + -N) [11] where 10 g of the soil sample was leached with 30 mil of 6% KCl solution and then treated with ammonium nitrogen to exchange with metal ions on the surface soil colloids. The soil aggregate stability was determined using the flat sieve method as described by Singh and Khera, (2009) [27]. The soil fungal density was determined using spread plate count methods where 10 g of soil sample was sus-pended in 90 ml Na 4 P 2 O 7 •10H 2 O to disperse soil organic colloids.…”

Section: Laboratory Analysis Of Soil Samplesmentioning

confidence: 99%

The Impact of Livestock Grazing on Soil Characteristics in Mount Kilimanjaro, Tanzania

Mligo¹

2015

GEP

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Livestock grazing is an anthropogenic disturbance on the soil properties in montane forests of the northern slopes of Mount Kilimanjaro. It was determined the effect of livestock grazing on SOC, N, CEC, SAS, SFD and P in the montane forest. Forty plots were randomly established for collection of soil samples. Data showed livestock grazing decreased the accumulation of SOC and consequently negatively affected the natural pattern of N, P, SFD, CEC and SAS. An opposing pattern of available soil phosphorus was interpreted that the nutrient pool retained in plant tissues particularly in the long-lived trees, which were absent in heavily grazed area. The observed positive correlation between SOC with TN and CEC implies the livestock grazing impacts on the former negatively affected the later soil parameters. Low fungal density in degraded parts of the montane forest indicates that they are sensitive to the current land use change. Based on the observation from this study, it can be regarded that excessive livestock grazing has a long-term negative ramification for soil conservation in montane forest. An important decision has to be sought off with regard to the conservation management of soil characteristics of the montane forest in Kilimanjaro Mountain.

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Physical Indicators of Soil Quality in Relation to Soil Erodibility Under Different Land Uses

Cited by 37 publications

References 15 publications

Determining soil indicators for soil sustainability assessment using principal component analysis of astan quds- east of mashhad- Iran

Determining soil indicators for soil sustainability assessment using principal component analysis of astan quds- east of mashhad- Iran

Effects of Different Land-Use Systems on Soil Aggregates: A Case Study of the Loess Plateau (Northern China)

The Impact of Livestock Grazing on Soil Characteristics in Mount Kilimanjaro, Tanzania

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