Variability in the properties of soils on two toposequences in northern Ghana

Nartey, Eric Kwesi; Dowuona, G. N.; Ahenkorah, Y.; Mermut, A. R.; Tiessen, H.

doi:10.4314/gjas.v30i2.1963

Cited by 7 publications

(10 citation statements)

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“…Because the soils are genetically similar, the most plausible reason for the results is the differences in altitude of the locations (Ogunkunle, 1993). Research has shown that topsoils usually show a higher sand content than subsoils (Nartey et al, 1997;Usowicz et al, 2004), and the present results suggest that this is due mainly to coarse sand and not fine sand ( Table 2). The silt content showed no appreciable change with depth, and this agrees with other reports from the area (Igwe, 2005;Asadu et al, 2010).…”

Section: Rwsupporting

confidence: 48%

“…Location affected the variability in bulk density more than land use and depth zone, the reverse was true for macroporosity. The higher bulk density at Nsukka/Obimo than Ibagwa-aka suggests a smaller concentration of nodules in Ibagwa-aka soil (Nartey et al, 1997). The trend of bulk density in the land uses (secondary forest < grassland< bare soil) reflects the relative extent of traffic-induced compaction and structural degradation of the soils (Igwe, 2001;2005).…”

Section: Rwmentioning

confidence: 99%

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Spatial variability of uncultivated soils in derived savanna

Obalum¹,

Oppong²,

Igwe³

et al. 2013

International Agrophysics

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The spatial variability of some physicochemical properties of topsoils/subsoils under secondary forest, grassland fallow, and bare-soil fallow of three locations was evaluated. The data were analyzed and described using classical statistical parameters. Based on the coefficient of variation, bulk density, total porosity, 60-cm-tension moisture content, and soil pH were of low variability. Coarse and fine sand were of moderate variability. Highly variable soil properties included silt, clay, macroporosity, saturated hydraulic conductivity, organic matter concentration, and cation exchange capacity. Overall, soil pH and silt varied the least and the most, respectively. Relative weighting showed that location dominantly influenced the soil variability, except for soil porosity and organic matter concentration influenced mostly by land use. Most of the soil data were normally distributed; others were positively skewed and/or kurtotic. The minimum number of samples (at 25 samples ha-1) required to estimate mean values of soil properties was highly soil property-specific, ranging from 1 (topsoil pH-H2O) to 246 (topsoil silt). Cation exchange capacity of subsoils related fairly strongly with cation exchange capacity of topsoils (R2 = 0.63). Spatial variability data can be used to extrapolate dynamic soil properties across a derived-savanna landscape.

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Section: Rwsupporting

confidence: 48%

Section: Rwmentioning

confidence: 99%

Spatial variability of uncultivated soils in derived savanna

Obalum¹,

Oppong²,

Igwe³

et al. 2013

International Agrophysics

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show abstract

“…Because the soils are genetically similar, the most plausible reason for the results is the differences in altitude of the locations (Ogunkunle, 1993). Research has shown that topsoils usually show a higher sand content than subsoils (Nartey et al, 1997;Usowicz et al, 2004), and the present results suggest that this is due mainly to coarse sand and not fine sand (Table 2). The silt content showed no appreciable change with depth, and this agrees with other reports from the area (Igwe, 2005;Asadu et al, 2010).…”

Section: Resultssupporting

confidence: 48%

Section: Resultsmentioning

confidence: 99%

Spectral estimation of wetland carbon dioxide exchange

Chojnicki¹

2013

International Agrophysics

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The simultaneous measurements of broadband normalized difference vegetation index and net ecosystem production were carried out at Rzecin wetland in 2009. Additionally, carbon fluxes, ecosystem respiration and gross ecosystem production were estimated on the basis of measured net ecosystem production values. The maximum broadband normalized difference vegetation index value (0.73) was measured on the 6th of July. The minimum broadband normalized difference vegetation index value measured before and after the vegetation period was 0.40. The annual dynamics of carbon fluxes and broadband normalized difference vegetation index runs were different from each other. During the second half of vegetation period greenness of plants decreases more slowly than plants carbon dioxide uptake capacity. These differences are likely to be determined by plants aging. The results presented in this paper show potential applicability of broadband normalized difference vegetation index for the estimation of carbon dioxide exchange in wetlands.

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“…This could also be attributed to the soil types in these areas. The most recognized soil type in Northern Ghana is Voltanian sandstones and clayey granites interspersed with Pyroclastic rocks (Nartey et al, 1997). These have better retention of precipitation and are easily waterlogged.…”

Section: Ndvi and Demmentioning

confidence: 99%

Evaluation of NDVI Using SPOT-5 Satellite Data for Northern Ghana

Anim¹,

Kabo-bah²,

Nkrumah³

et al. 2013

EMSD

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Monitoring environment changes has become a necessity as a result of current environment Environmental Management and Sustainable Development ISSN 2164-7682 2013 www.macrothink.org/emsd 168 deteriorating due to human activities and climate change. However, in most developing countries like Ghana, acquiring information concerning the current condition and the dynamic changes of the environment for a rapid monitoring is difficult. A method to monitor the environmental condition in Northern Ghana by the way of the vegetation cover using the Normalized Difference Vegetation Index (NDVI) is proposed. The method involves the use of remotely sensed data based on the absorption, transmittance and reflectance of energy by the vegetation which is significantly correlated with the amount of green leaf biomass on ground. The accuracy of this indicator is assessed with other in-situ geographic data. The main aim was to assess whether the NDVI-time series extracted from SPOT-5 images may give reliable information to assess the environment herein vegetation or land cover in Northern Ghana where there is a current rapid environmental change. It is shown that the NDVI data gives some valuable information about the vegetation hence land cover in these areas. The measurement of the amount of greenness in different areas in Northern Ghana would be simple but an objective method to assist in regular evaluation of the environmental situation of an area. The study demonstrated that NDVI technique can be employed to evaluate the vegetation cover and hence monitor the environment. Consequently, this method can be applied for other areas in the country and will be useful as an effective tool for regularly monitoring to support and create environmental awareness about the vegetative changes.

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Variability in the properties of soils on two toposequences in northern Ghana

Cited by 7 publications

References 0 publications

Spatial variability of uncultivated soils in derived savanna

Spatial variability of uncultivated soils in derived savanna

Spectral estimation of wetland carbon dioxide exchange

Evaluation of NDVI Using SPOT-5 Satellite Data for Northern Ghana

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