Assessment of the spatio-temporal distribution of soil properties in East Kolkata wetland ecosystem (A Ramsar site: 1208)

Pal, Siddhartha; Manna, Sudip; Aich, Anulipi; Chattopadhyay, Buddhadeb; Mukhopadhyay, Sajal

doi:10.1007/s12040-014-0428-x

Cited by 20 publications

(12 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The RBF model is used to predict the soil properties at unsampled locations. Earlier studies suggest that RBF is the best method to interpolate soil parameters and it is used to interpolate data points in a group of multi-dimensional space (Pal et al 2014). RBF method is a family of five deterministic exact interpolation techniques: thin-plate spline (TPS), spline with tension (SPT), completely regularised spline (CRS), multiquadratic function (MQ and inverse multi-quadratic function (IMQ).…”

Section: Spatial Statistical Analysismentioning

confidence: 99%

Spatial variability of soil organic carbon under different land use using radial basis function (RBF)

Bhunia¹,

Shit²,

Maiti

2016

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

The present study was conducted to assess soil organic carbon (SOC) and other nutrients under different land use patterns in the lateritic region at Medinipur Block of Paschim Medinipur District, West Bengal, India. Samples were collected from different land use categories in 17 locations at soil depths of 0-19, 20-39, and 40-100 cm. The physical and chemical properties of soil were measured and concentration of SOC, pH, electric conductivity (EC), phosphorous (P) and potassium (K) were calculated for each depth and land use category. Statistical analyses, including simple correlation and principal component analysis (PCA) were used to relate land use and SOC data and other soil properties. The radial basis function (RBF) method was employed to investigate the spatial pattern of SOC. Spatial variability of SOC showed maximum concentration on the north west part and lowest concentration in the northeast and central parts of the study area. The maximum average value of SOC was highest at 0-19 cm depth and declined with increasing depth. The observed mean of SOC in the topsoil (0-19 cm) was highest in the forest soils (0.69 %) and lowest in fallow land (0.41 %). This study suggests a need for appropriate land use strategies and sustainable soil management for improving soil fertility in the study area.

show abstract

Section: Spatial Statistical Analysismentioning

confidence: 99%

Spatial variability of soil organic carbon under different land use using radial basis function (RBF)

Bhunia¹,

Shit²,

Maiti

2016

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

show abstract

“…A portable global positioning system (GPS) was used to record each sample site (figure 2). As reported, climatic conditions of each season of the year may have an effect on soil organic carbon content (Pal et al 2014;Assefa et al 2017). Therefore, two sampling periods were carried out in 2014, the first (Dry 1) being carried out in February, with no record of precipitation and a reported temperature of 15.9 • C; the second (Rainy) was carried out in July, with 78.9 mm of rain and a temperature of 17.75 • C; the third sampling (Dry 2) was carried out in February 2015, with 1.6 mm of rain and a temperature of 14.8 • C. Each sample was composed of one kilogram of soil from a depth of 0-10 and 10-20 cm.…”

Section: Soil Sampling and Analysismentioning

confidence: 78%

“…Another point of concern is the important growth of human settlements, which increased its surface from 1% in 1976 to 19% in 2013. Figure 3 shows the values obtained for SOC for all sites analysed during the three sample periods (Dry 1, Dry 2 and Rainy) at both depths (0-10 and 10-20 cm); it was important to determine these values since it is well known that the climate conditions of each season have an effect in the content of organic carbon (Pal et al 2014;Assefa et al 2017). In the Dry 1 period, for both depths, it was observed that the land uses with highest content of SOC were of the type OF/sSV followed by IP, whereas the lowest values were those found for HS.…”

Section: Site Characterizationmentioning

confidence: 99%

“…Ramsar convention is an inter-governmental treaty adopted on February 2, 1971, in the Iranian city of Ramsar, for conservation and sustainable use of wetlands (Ramsar Convention Secretariat 2013). To attain the objectives of the convention, it is necessary to first evaluate the space-temporal variation of the vegetation coverage, the land use change and the content of organic carbon in different sites of the Ramsar (Juman and Ramsewak 2013;Mabwoga and Thukral 2014;Pal et al 2014Pal et al , 2016. The principal results reveal that the natural vegetation of the sites has decreased mainly due to human activities, agricultural growth and climate change, and yet, despite these conditions the wetlands are highly capable of storing organic carbon.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Short-temporal variation of soil organic carbon in different land use systems in the Ramsar site 2027 ‘Presa Manuel Ávila Camacho’ Puebla

López-Teloxa

Cruz-Montalvo²,

Flores

et al. 2017

J Earth Syst Sci

View full text Add to dashboard Cite

The soil organic carbon (SOC) was determined in 40 sites at two depths (0-10 and 10-20 cm) for different uses of soil during one year (February 2014-February 2015). The total SOC stored in the analysed soil from the Ramsar site was 9,67×10 5 t, from which 40% was stored in induced pasture, followed by the red oak forest with shrubbery secondary vegetation, rain-fed agriculture and human settlements (24%, 23%, and 13%, respectively); the last was evaluated to determine how the proximity of the city impacts the SOC. The SOC concentrations present significant differences with respect to soil depth (p = 0.0) and land use (p = 0.0). The temporal distribution maps showed that SOC did not present significant variations in the short-term. A relation between SOC and bulk density was found (r = −0.654, p = 0.00), with respect to other physicochemical properties. Moreover, a significant relation between SOC and stored total nitrogen (r = 0.585; p = 0.00) was found. This work represents the first study that analyses the current condition of the soils in the Ramsar site 'Presa ManuelÁvila Camacho'.

show abstract

“…Surface maps of all the groundwater quality parameters were prepared using Radial Basic Function (RBF) method. RBF model was used to interpolate data points in a group of multi-dimensional space (Pal et al 2014). In the RBF interpolation technique a completely regularized spline kernel function is used to control the smoothness of the surface for the higher parameter value.…”

Section: Spatial Variability Of Groundwater Qualitymentioning

confidence: 99%

Spatial variability of groundwater quality of Sabour block, Bhagalpur district (Bihar, India)

Verma

Bhunia²,

Shit³

et al. 2016

Appl Water Sci

View full text Add to dashboard Cite

show abstract

Assessment of the spatio-temporal distribution of soil properties in East Kolkata wetland ecosystem (A Ramsar site: 1208)

Cited by 20 publications

References 35 publications

Spatial variability of soil organic carbon under different land use using radial basis function (RBF)

Spatial variability of soil organic carbon under different land use using radial basis function (RBF)

Short-temporal variation of soil organic carbon in different land use systems in the Ramsar site 2027 ‘Presa Manuel Ávila Camacho’ Puebla

Spatial variability of groundwater quality of Sabour block, Bhagalpur district (Bihar, India)

Contact Info

Product

Resources

About