Spatial Variability of Soil Organic Carbon and Available Nutrients under Different Topography and Land Uses in Meghalaya, India

Tao, David; Singh, N.; Goswami, Chandan

doi:10.9734/ijpss/2018/39615

Cited by 4 publications

(7 citation statements)

References 11 publications

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“…Again, depletion of available soil nutrients from rice based cropping sequence has also been reported earlier [14]. Similarly, lower content of available soil nutrients in the wastelands having little vegetative cover and steep slope has been reported by Tao et al [2].…”

Section: Effect Of Lulc On Available Soil Nutrientssupporting

confidence: 76%

“…In addition, the higher rate of N and other nutrients in EF and DF soils might be due to N mineralization and nitrification in the close forest where there was less human disturbance [15]. Higher amount of other available soil nutrients in forested areas has been reported earlier [2]. Again, depletion of available soil nutrients from rice based cropping sequence has also been reported earlier [14].…”

Section: Effect Of Lulc On Available Soil Nutrientsmentioning

confidence: 85%

“…Nutrient status of soil is very dynamic (with respect to time) and diverse (with respect to space). Hence, periodic monitoring of nutrient status of soil and inventory of spatial distribution of soil is the need of the hour [1,2]. Realizing the importance of soil variability at farm scale level, Government of India has initiated a flagship programme under the Department of Agriculture, Cooperation and Farmers Welfare, Ministry of Agriculture and Farmers Welfare for issuing of Soil Health Card (SHC) for each and every agricultural field of the country.…”

Section: Introductionmentioning

confidence: 99%

“…Spatial distribution of available soil nutrients is a function of intrinsic factors (soil forming factors and processes) and extrinsic factors (topography, land use, soil management practices etc.) [2,3]. Global Positioning Systems (GPS), Remote Sensing (RS), Geographic Information Systems (GIS) and geo-statistical techniques are widely used to study the influence of soil types and land uses on available soil nutrients [2,4,5].…”

Section: Introductionmentioning

confidence: 99%

“…Global Positioning Systems (GPS), Remote Sensing (RS), Geographic Information Systems (GIS) and geo-statistical techniques are widely used to study the influence of soil types and land uses on available soil nutrients [2,4,5]. Most of the spatial distribution studies of available soil nutrient have been carried out in hot-arid or semi-arid climate of India [6,7] and only a few studies have been carried out in humid subtropical climate of India [2,8]. Keeping this in view, an attempt has been made to assess the spatial distribution of available soil nutrients viz.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Soil Orders and Land Uses on Available Soil Nutrients in Meghalaya, India

Goswami

Singh

Handique

2020

IJPSS

Self Cite

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Understanding of spatial distribution of available soil nutrients is important for sustainable land management. An attempt has been made to assess the spatial distribution of available soil nutrients under different soil orders and land uses of RiBhoi, Meghalaya, India using geo-statistical techniques. Seven Land Use Land Cover (LULC) classes were selected from LULC map on 1:50,000 scale prepared by National Remote Sensing Centre (NRSC) viz. Abandoned Jhum (AJ), Current Jhum (CJ), Deciduous Forest (DF), Double Crop (DC), Evergreen Forest (EF), Kharif Crop (KC) and Wastelands (WL). Again, three soil orders were identified by National Bureau of Soil Survey and Land Use Planning (NBSS&LUP) in RiBhoi district of Meghalaya, India viz. Alfisols, Inceptisols and Ultisols. 105 soil samples were collected, 5 replicated soil samples from 21 strata derived from 7 LULC and 3 soil orders. Soil samples were analyzed for available nitrogen (N), available phosphorus (P2O5), available potassium (K2O) and available zinc (Zn) using standard procedures. One way ANOVA was carried out using IBM SPSS Statistics 20.0 software. Significance levels were tested at p≤0.05. N content varied from low (215.50 kg/ha) to medium (414.30 kg/ha) with mean value of 291.50 kg/ha. On the other hand, P2O5 content varied from low (19.90 kg/ha) to high (68.30 kg/ha) with mean value of 43.52 kg/ha. Similarly, K2O content varied from low (112.09 kg/ha) to high (567.84 kg/ha) with mean value of 273.68 kg/ha. Again, Zn also varied from low (0.26 ppm) to high (1.46 ppm) with mean value of 0.64 ppm. In Alfisols, N was found to be higher in EF, AJ & CJ than DF, DC, KC and WL. KC has been found to have lower N than all other LULC classes. Higher P2O5 has been found under EF over KC and WL. AJ has been found to have higher K2O than all other LULC classes. K2O has also been found to be higher in CJ over DC, KC and WL. DF and EF have been found to have higher K2O than KC and WL. Zn has been found to be higher in EF over CJ, DC and WL. In Inceptisols, higher amount of N was observed under EF over all other LULC classes. Higher N has also been found under CJ over DF, DC, KC and WL. P2O5 content was found to be higher under DF over all other LULC classes. Higher P2O5 content was also found under AJ, CJ and DC than KC and WL. Higher amount of K2O has been found under AJ over all other LULC. K2O content of soil under DF was also higher than CJ, EF, KC and WL. Zn has been found to be higher under EF over all other LULC classes. Zn content under CJ has also been found to be higher than AJ, DF, KC and WL. In Ultsols, higher amount of N has been found under EF compared to all other LULC classes. Lowest N content was found under KC. P2O5 content was found to be higher under EF, DF and AJ over all other LULC. K2O content has been found to be higher under CJ in comparison to all other LULC classes. K2O content of EF and DF were also found to be higher than AJ, DC, KC and WL. Again, K2O content has been found to be higher under DC compared to AJ, KC and WL. Zn content under EF and AJ was found to be higher than all other LULC classes. CJ, DF, DC, KC and WL have been found to have lower Zn content. It has been observed that P2O5 content is significantly higher in inceptisols irrespective of LULC classes. The study has highlighted the spatial distribution of available soil nutrients as a function of soil orders and LULC. This will be a useful input in sustainable land management programmes.

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Section: Effect Of Lulc On Available Soil Nutrientssupporting

confidence: 76%

Section: Effect Of Lulc On Available Soil Nutrientsmentioning

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of Soil Orders and Land Uses on Available Soil Nutrients in Meghalaya, India

Goswami

Singh

Handique

2020

IJPSS

Self Cite

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Soil properties under different land use systems of Mizoram, North East India

Manpoong

Tripathi

2019

JANS

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Changes in land use and improper soil management have led to severe land degradation around the globe through the modification in soil physicochemical and biological processes. This study aimed to assess the soil properties of different land use system types. Soil samples (0-15 cm depth) were collected from five land uses; Rubber Plantation (RP), Oil Palm Plantation (OPP), Bamboo Forest (BF), Fallow Land (FL) and Natural Forest (NF) and analyzed for bulk density, soil texture, soil pH, soil moisture, soil carbon, total nitrogen, ammonium, nitrate, soil microbial biomass carbon, soil respiration. Soil pH was lower than 4.9 in all the sites indicating that the surface soil was highly acidic. Soil organic carbon (SOC) and total nitrogen (TN) values ranged from 2.02% to 2.81% and 0.22% to 0.3% respectively. Soil organic carbon (SOC), total nitrogen (TN) and soil microbial biomass (SMBC) were highly affected by soil moisture. NH4+-N and NO3--N ranged from 5.6 mg kg-1 to 10.2 mg kg-1 and 1.15 mg kg-1 to 2.81 mg kg-1 respectively. NF soils showed the maximum soil microbial biomass carbon (SMBC) whereas the minimum was observed in BF with values ranging from 340 mg kg-1 to 345 mg kg-1. Basal respiration was highest in RP (375 mg CO2 m-2 hr-1) and lowest in BF (224 mg CO2 m-2 hr-1). The findings demonstrated significant effect (p<0.05) of land use change on soil nutrient status and organic matter. Findings also indicated that land use change deteriorated native soil physicochemical and biological properties, but that land restoration practices through longer fallow period (>10 years) likely are successful in promoting the recovery of some soil characteristics.

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Assessment of Influencing Factors on the Spatial Variability of SOM in the Red Beds of the Nanxiong Basin of China, Using GIS and Geo-Statistical Methods

Yan

Lin

Wang

et al. 2021

IJGI

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Understanding the spatial variability of soil organic matter (SOM) is crucial for implementing precise land degradation control and fertilization to improve crop productivity. Studying spatial variability provides a scientific basis for precision fertilization and land degradation control. In this study, geostatistics and classical statistical methods were used to analyze the spatial variability of SOM and its influencing factors under various degrees of land degradation in the red bed area of southern China. The results demonstrate a declining trend for SOM content with increasing land degradation. The SOM content differs profoundly under different land degradation degrees. The coefficient of variation ranges from 13.61% for extreme land degradation to 8.98% for mild land degradation, 7.96% for moderate land degradation, and 5.64% for severe land degradation. A significant positive correlation is displayed between the altitude and the SOM (p < 0.01) under mild and moderate land degradation conditions. Bulk density and pH value have a significant negative correlation with SOM (p < 0.01). It can be observed that terrain factors, as well as physical and chemical soil parameters, have a great influence on SOM.

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Spatial Variability of Soil Organic Carbon and Available Nutrients under Different Topography and Land Uses in Meghalaya, India

Cited by 4 publications

References 11 publications

Effect of Soil Orders and Land Uses on Available Soil Nutrients in Meghalaya, India

Effect of Soil Orders and Land Uses on Available Soil Nutrients in Meghalaya, India

Soil properties under different land use systems of Mizoram, North East India

Assessment of Influencing Factors on the Spatial Variability of SOM in the Red Beds of the Nanxiong Basin of China, Using GIS and Geo-Statistical Methods

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