Application of geostatistics and GIS technique to characterize spatial variabilities of bioavailable micronutrients in paddy soils

Liu, X. M.; Xu, Jianming; Zhang, M. K.; Huang, Junlong; Shi, Jiachun; Yu, Xiaohua

doi:10.1007/s00254-004-1025-0

Cited by 54 publications

(36 citation statements)

References 11 publications

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“…Therefore, moderate to strong spatial dependence provided us an opportunity to prepare digitals maps for estimating soil pH vertically up to the depth of 100 cm in a soil profile. Spatial dependence of soil pH was found to be maintained by anthropogenic activities like cultivation, addition of chemical fertilizers and organic manure at surface soils while in the lower soil depths intrinsic soil factors governing soil pH like parent materials might be responsible for the maintaining moderate to strong spatial dependence in the soils (Liu et al, 2004;Spiker et al, 2005;Chunfa et al, 2010;Banerjee et al, 2011).…”

Section: Geostatistical Analysis and Mapping Of Ph In The Studied Soimentioning

confidence: 99%

Spatial Distribution of pH in the Soil Profiles of Representative Soil Series from Rice Producing Area, District Sheikhupura

Nabi¹,

Ahmed²,

Ali³

2018

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Section: Geostatistical Analysis and Mapping Of Ph In The Studied Soimentioning

confidence: 99%

Spatial Distribution of pH in the Soil Profiles of Representative Soil Series from Rice Producing Area, District Sheikhupura

Nabi¹,

Ahmed²,

Ali³

2018

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“…It is an important source of bioavailable micronutrients and a shortage or surplus of bioavailable micronutrients in the soil limits growth of crops (Liu et al, 2004;Ye et al, 2015). Out of the 16 plants nutrients, zinc (Zn), copper (Cu), iodine (I), manganese (Mn), molybdenum (Mo), boron (B), iron (Fe) are among those referred to as micronutrients.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, improving rice yields in existing irrigated areas rather than further expansion is more likely to be the main source of growth for the crop in Kenya only if proper soil and water management is taken into account especially during the vegetative phase of the crop (Nyamai et al, 2012). Sustainable productivity of a soil mainly depends on its ability to supply essential nutrients to growing plants; therefore an understanding of the differences and distribution patterns of soil bioavailable nutrients is vital in its management and fertilizer applications (Liu et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

An Assessement of Paddy Production System in Central Kenya with Special Reference to Micronutrients

Kundu¹,

Ishii²,

Sato³

et al. 2017

JAS

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Soil degradation reduces agricultural productivity and poses a great threat on food security status of households. In Kenya, farmers have for a long time been using only nitrogen and phosphorous based fertilizers oblivious of the soil fertility status. In most cases, there has been lack of plant response to these fertilizers, which could be due to a limitation of nutrients other than nitrogen and phosphorous. Soils are considered as variable natural bodies because of combined intrinsic and extrinsic factors of different intensities at a field or a larger region scale therefore an understanding of such variability is imperative to provide insights needed in their management. This study was thus initiated to assess the availability of soil micronutrients from rice growing Vertisols in the Mwea irrigation scheme. Top (0-15 cm) soil samples were collected across paddy fields in the irrigation scheme and analyzed for iron (Fe), zinc (Zn), copper (Cu) and manganese (Mn) by the 0.1 N HCl extraction method. Soil pH (water and 1 M KCl) was also measured using the glass electrode pH meter. Soil solution pH ranged from 4.56 to 8.05 and 3.33 to 6.63 for water and 1 M KCl respectively. Soil Fe, Zn, Cu and Mn concentration varied greatly and ranged from undetected to 1360.6, 0.12 to 8.00, undetected to 9.29 and 1.50 to 849.2 mg/kg respectively. Coefficient of variations (CVs) for soil micronutrients ranged from 64% to 154% indicating very high variability. Soil pH was least variable with CVs 12% and 15% for water and KCl respectively. These results imply that the paddy soils in Mwea region are highly heterogeneous and soil micronutrients are enriched in some areas and depleted in others due to farm management practices and soil properties. Averagely, soil available Zn was deficient across the scheme and as such Zn fertilization can be effective in increasing soil Zn concentration and availability in the soil-root interface further enhancing soil productivity and yield quality. Attention should also be paid to appropriate farm management practices to avoid accumulation or depletion of nutrients.

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“…matheron (1963) developed the theory of regionalized variables using krige (1951) which concluded that the data variances depend on the separation distance between samples. Currently the application of geostatistics in agriculture has been used for the study of spatial variability of the most distinct attributes of soil and plant (mcbratney, 1984;couto and klamt, 1999;gooVaerts, 1999;White and Zasoski, 1999;Vieira, 2000;carValho and Vieira, 2001;carValho et al, 2002;ulloa guitián et al, 2002;liu et al, 2004;grego and Vieira, 2005;motomiya et al, 2006;Zanão Júnior et al, 2007;siqueira et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Indicator kriging is widely used to map the probabilities of estimates that exceed given threshold levels such as regulatory thresholds of determined element in soil and environments parameters (atkinson and lloyd, 1998;carValho and Vieira, 2001;lin et al, 2002;diodato and ceccarelli, 2004;tolosana-delgado et al, 2005;lyon et al, 2006;motomiya et al, 2006;assumPção et al, 2007;yu-Pin et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach

et al. 2010

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Nutrient maps based on intensive soil sampling are useful to develop site-specific management practices. Geostatistical methods have been widely used to determine the spatial correlation and the range of spatial dependence at different sampling scales. If spatial dependence is detected, the modelled semivariograms can then be used to map the interested variable by kriging, an interpolation method that produces unbiased estimates with minimal estimation variance. The objectives of this paper were to examine and to map the spatial distribution of the micronutrients Cu, Zn, Fe and Mn on an agricultural area in Galicia, Spain, under European Atlantic climatic conditions. The ordinary kriging was first used to determine the values for the non-sampled locations, then the indicator approach was used to transform the micronutrient content values into binary values having the mean values of each nutrient as the threshold content. All four elements analyzed showed spatial dependence using the indicator semivariograms. The strength of spatial dependence was assessed using the values of nugget effect and range from the semivariogram, the fitted range values decreased in the order Mn >Fe >Zn >Cu. The spatial dependence of the combination of two or more of the studied micronutrients was also examined using indicator semivariograms. In opposition to spatial analysis of individual microelements, indicator semivariograms obtained for the binary coding of the variables showed a great nugget effect value or a low proportion of sill. The maps for each nutrient obtained using indicator kriging showed some similarity in the spatial distribution, suggesting the delimitation of uniform management areas.Key words: soil management; geostatistics; spatial variability; soil chemistry. RESUMO MAPEAMENTO DE MICRONUTRIENTES DO SOLO DE UMA PAISAGEM AGRÍCOLA EUROPÉIAATLÂNTICA UTILIZANDO KRIGAGEM ORDINÁRIA E INDICATRIZ Mapas de nutrientes do solo com base em uma amostragem intensiva são úteis para desenvolver práticas específicas de manejo. Os métodos geoestatísticos cada vez mais têm sido utilizados para determinar a correlação espacial e o alcance da dependência espacial de amostragens em diferentes escalas. Uma vez detectada a variabilidade espacial, o semivariograma experimental é modelado e usado para mapear as variáveis investigadas por meio da krigagem, um método de interpolação sem tendência e com variância mínima. O objetivo deste trabalho foi avaliar e mapear a distribuição espacial dos micronutrientes Cu, Zn, Mn e Fe em uma área agrícola, na Galícia, Espanha, sob condições climáticas do Atlântico Europeu. A krigagem ordinária foi aplicada inicialmente para se determinar os valores para os locais não amostrados. Posteriormente, a krigagem indicatriz foi utilizada para transformar o conteúdo de micronutrientes em valores binários, tendo os valores médios de cada nutriente como referência. Nos quatro micronutrientes estudados havia dependência espacial, expressa por meio dos parâmetros do semivariograma. A razão de dependência es...

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Application of geostatistics and GIS technique to characterize spatial variabilities of bioavailable micronutrients in paddy soils

Cited by 54 publications

References 11 publications

Spatial Distribution of pH in the Soil Profiles of Representative Soil Series from Rice Producing Area, District Sheikhupura

Spatial Distribution of pH in the Soil Profiles of Representative Soil Series from Rice Producing Area, District Sheikhupura

An Assessement of Paddy Production System in Central Kenya with Special Reference to Micronutrients

Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach

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