Geostatistical analysis for predicting soil biological maps under different scenarios of land use

Shahbazi, Farzin; Aliasgharzad, Nasser; Ebrahimzad, S.A.; Najafi, Nosratollah

doi:10.1016/j.ejsobi.2012.10.009

Cited by 26 publications

(11 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Scudiero et al (2013) reported a similar ECa mean (1.14 dS m -1 ) and also detected positive asymmetry (1.05). ECa distribution asymmetry also has been reported in several other studies (YAO et al, 2014;BOTTEGA et al, 2017;SHAHBAZI et al, 2013;AGGELOPOOULOU et al;. Positive asymmetry (Table 1.…”

Section: Revsupporting

confidence: 81%

“…Depending upon climatic conditions and other factors, ECa distribution can either be symmetrical (CÓRDOBA et al, 2013) or asymmetrical (SCUDIERO et al, 2013;YAO et al, 2014;BOTTEGA, 2014;SHAHBAZI et al, 2013). The latter property has a significant effect on the fit of the variogram theoretical model (FU et al, 2016), on statistical kriging cross-validation (KERRY; OLIVER, 2007) and on the precision of the spatial variability map.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Delineation of Homogeneous Zones Based on Geostatistical Models Robust to Outliers

et al. 2019

View full text Add to dashboard Cite

Measures of the apparent electrical conductivity (ECa) of soil are used in many studies as indicators of spatial variability in physicochemical characteristics of production fields. Based on these measures, management zones (MZs) are delineated to improve agricultural management. However, these measures include outliers. The presence or incorrect identification and exclusion of outliers affect the variogram function and result in unreliable parameter estimates. Thus, the aim of this study was to model ECa data with outliers using methods based on robust approximation theory and model-based geostatistics to delineate MZs. Robust estimators developed by Cressie-Hawkins, Genton and MAD Dowd were tested. The Cressie-Hawkins semivariance estimator was selected, followed by the semivariogram cubic fit using Akaike information criterion (AIC). The robust kriging with an external drift plug-in was applied to fitted estimates, and the fuzzy k-means classifier was applied to the resulting ECa kriging map. Models with multiple MZs were evaluated using fuzzy k-means, and a map with two MZs was selected based on the fuzzy performance index (FPI), modified partition entropy (MPE) and Fukuyama-Sugeno and Xie-Beni indices. The defined MZs were validated based on differences between the ECa means using mixed linear models. The independent errors model was chosen for validation based on its AIC value. Thus, the results demonstrate that it is possible to delineate an MZ map without outlier exclusion, evidencing the efficacy of this methodology. DELINEAMENTO DE ZONAS HOMOGÊNEAS PORGEOESTATÍSTICA BASEADA EM MODELOS ROBUSTA À OUTLIERS RESUMO -Diversas pesquisas utilizam medidas de condutividade elétrica aparente do solo (CEa) como indicador da variabilidade espacial de atributos físico-químicos existentes no campo de produção. Com base nestas medidas, zonas de manejo (ZM) são delineadas para aperfeiçoamento da gestão agrícola. Entretanto, estas amostras têm apresentado presença de outliers. Todavia, a presença ou incorreta detecção e exclusão de outliers altera o formato do variograma, exibindo estimativas não fidedignas para os seus parâmetros. Dessa forma, objetivou-se nesta pesquisa, tratar dados amostrais da CEa por meio de métodos robustos à presença de outliers, fundamentados na teoria de aproximações robusta e na geoestatística baseada em modelos, para o delineamento de ZM. Assim, estimadores robustos de Cressie Hawkins, Genton"s e MAD Dowd foram avaliados. Nesta avaliação, selecionou-se o estimador de semivariância de Cressie Hawkins. E na sequência, optou-se pelo ajuste cúbico do semivariograma via Critério de Informação de Akaike (AIC). As estimativas obtidas com este ajuste foram aplicadas na plug-in robusto de krigagem. E coerentemente o mapa de krigagem da CEa obtido foi utilizado no classificador fuzzy k-means. Com uso do fuzzy k-means, diferentes ZM foram avaliadas, selecionando-se o mapa com duas ZM por meio dos índices FPI, MPE, Fukuyama-Sugeno e xie beni. As ZM estabelecidas foram validadas quanto as suas diferenças ...

show abstract

Section: Revsupporting

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Delineation of Homogeneous Zones Based on Geostatistical Models Robust to Outliers

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Each variogram provides information of nugget variance (C 0 ), structural variance (C), sill (C þ C 0 ), range (R) and the proportion of structural variance (C/C þ C 0 ). The nugget refers to the undetectable experimental error and field variation within the minimum sampling space, while sill represents total spatial variation [42]. The proportion of structural variance (C/ C þ C 0 ) varies from 0 to 1, with 0 indicating no measurable spatial structure and 1 indicating that all variance is caused by spatial structure [7,43].…”

Section: Calculations and Statistical Analysesmentioning

confidence: 99%

Linkages between the soil organic matter fractions and the microbial metabolic functional diversity within a broad-leaved Korean pine forest

Tian

McCormack

Wang

et al. 2015

European Journal of Soil Biology

View full text Add to dashboard Cite

a b s t r a c tPatterns in the spatial distribution of soil microorganisms and the factors that determine them provide important information about the mechanisms regulating diversity and function of terrestrial ecosystems. The spatial heterogeneity of metabolic functional diversity of soil microorganisms was studied across a 30 Â 40 m plot and at two soil depths (0e10 cm and 10e20 cm) in a natural, mixed broad-leaved Korean pine (Pinus koraiensis) forest soil in the Changbai Mountains. In addition, we assessed the importance of the quantity and quality (indicated by labile soil organic matter fractions) of soil organic matter in smallscale structuring of soil microbial metabolic functional diversity. Microbial metabolic functional diversity was characterized based on the Biolog profile. The results showed that metabolic activity exhibited moderate spatial dependence, while functional diversity had a much stronger spatial dependence. All soil organic matter fractions including total soil organic matter, dissolved organic matter, particulate organic matter explained 15e27% of the variance in microbial functional diversity in the two soil layers. Among all soil organic matter fractions, the labile dissolved organic carbon accounted for the largest amount of variation. Overall, the significant relationship between soil microorganisms and organic matter fractions allows for better understanding the ecological functions governing C cycling and microbial communities in forest ecosystems.

show abstract

“…Our results showed that deforestation followed by crop establishment caused a decrease by half of the MBC pool. In our study MBC trends follow changes in SOC contents, with which they are positively correlated [27]. Sahani and Behera [26] found 83% less MBC at deforested sites, compared to values under forest.…”

Section: Land Use Change Effect: Forest Versus Cultivationsupporting

confidence: 73%

Soil chemical and microbiological properties affected by land use, management, and time since deforestations and crop establishment: The case of wheat (not irrigated) and cotton (irrigated) fields in Filyria, Kilkis, Greece

Eleftheriadis¹

View full text Add to dashboard Cite

Deforestation is a common practice in many countries worldwide since many years, in order to gain land for agricultural purposes, and is one of the main reasons for the global net release of CO2 from soil to atmosphere. The conversion from natural vegetation to cropland often leads to a depletion of the soil organic carbon (SOC) stock due to reduced input of biomass and enhanced decomposition after physical disturbance. The effect of forest clearing for other land uses is often a low level of soil microbial population. In a part of Northern Greece, Filyria, which belongs to prefecture of Kilkis, three deforestations took place in 1933, 1971 and 1980, in order to give land for agriculture to refugees and residents with no property. The natural vegetation consists mainly of Quercus pubescens stands. Each family was given 2-9 hectares of deforested land. The agricultural fields are cultivated with wheat, cotton and tobacco, and cherry trees are established in several plots. The soils of the study area have developed from limestone, and are classified as Xeralfs according to Soil Taxonomy. The plots of the significativas ni con el efecto del tipo de cultivo ni con el tiempo transcurrido desde la deforestación y cultivo. El efecto del tiempo transcurrido desde la deforestación y puesta en cultivo afecta principalmente a las partículas de tamaño arena> limo> arcilla y se asocia negativamente con los valores de C y N en estas partículas. En las partículas de tamaño arcilla, después de 25 años de cultivo la capacidad de esta fracción para preservar SOM parece haber alcanzado un valor constante.

show abstract

Geostatistical analysis for predicting soil biological maps under different scenarios of land use

Cited by 26 publications

References 30 publications

Delineation of Homogeneous Zones Based on Geostatistical Models Robust to Outliers

Delineation of Homogeneous Zones Based on Geostatistical Models Robust to Outliers

Linkages between the soil organic matter fractions and the microbial metabolic functional diversity within a broad-leaved Korean pine forest

Soil chemical and microbiological properties affected by land use, management, and time since deforestations and crop establishment: The case of wheat (not irrigated) and cotton (irrigated) fields in Filyria, Kilkis, Greece

Contact Info

Product

Resources

About