Hillslope and catchment scale soil organic carbon concentration: An assessment of the role of geomorphology and soil erosion in an undisturbed environment

Hancock, Greg; Murphy, David; Evans, K. G.

doi:10.1016/j.geoderma.2009.11.021

Cited by 83 publications

(50 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Pei et al (2010) and Hancock et al (2010) found higher organic matter accumulation in areas with a higher wetness index, a factor that delays the decomposition process. Furthermore, Moore et al (1993), using the wetness index and slope gradient, found high correlations between these topographic indices and organic matter content, sand content, and A horizon depth.…”

Section: Soil Texturementioning

confidence: 94%

Three-dimensional interpolation of soil data: fertility and pedomorphological features in southern Brazil

Piedade

Melo²,

Souza³

et al. 2014

Rev. Bras. Ciênc. Solo

View full text Add to dashboard Cite

The graphical representation of spatial soil properties in a digital environment is complex because it requires a conversion of data collected in a discrete form onto a continuous surface. The objective of this study was to apply three-dimension techniques of interpolation and visualization on soil texture and fertility properties and establish relationships with pedogenetic factors and processes in a slope area. The GRASS Geographic Information System was used to generate three-dimensional models and ParaView software to visualize soil volumes. Samples of the A, AB, BA, and B horizons were collected in a regular 122-point grid in an area of 13 ha, in Pinhais, PR, in southern Brazil. Geoprocessing and graphic computing techniques were effective in identifying and delimiting soil volumes of distinct ranges of fertility properties confined within the soil matrix. Both three-dimensional interpolation and the visualization tool facilitated interpretation in a continuous space (volumes) of the cause-effect relationships between soil texture and fertility properties and pedological factors and processes, such as higher clay contents following the drainage lines of the area. The flattest part with more weathered soils (Oxisols) had the highest pH values and lower Al3+ concentrations. These techniques of data interpolation and visualization have great potential for use in diverse areas of soil science, such as identification of soil volumes occurring side-by-side but that exhibit different physical, chemical, and mineralogical conditions for plant root growth, and monitoring of plumes of organic and inorganic pollutants in soils and sediments, among other applications. The methodological details for interpolation and a three-dimensional view of soil data are presented here.

show abstract

Section: Soil Texturementioning

confidence: 94%

Three-dimensional interpolation of soil data: fertility and pedomorphological features in southern Brazil

Piedade

Melo²,

Souza³

et al. 2014

Rev. Bras. Ciênc. Solo

View full text Add to dashboard Cite

show abstract

“…Determining which of the four environmental factors (vegetation type, topography/slope, annual precipitation, and soil carbon concentration) is more important than others proved to be very difficult. This is because all four factors exert important effects on soil carbon redistribution in different ways according to previous studies (Sitaula et al 2004;Rimal & Lal 2009;Hancock et al 2010;Schwanghart & Jarmer 2011;Stavi & Lal 2011). Nevertheless, another method can be used to identify key factors.…”

Section: Identifying the Inflow Regions For Soil Carbon Redistributionmentioning

confidence: 96%

“…Therefore, the index relied on theoretical preconditions: soil carbon redistribution is controlled mainly by vegetation type, topography/slope, annual precipitation, and soil carbon Fig. 1 Location of study area in the Haihe River Basin, China concentration, which have been proved reliable by previous studies (Sitaula et al 2004;Cowie et al 2006;Rimal & Lal 2009;Hancock et al 2010;Schwanghart & Jarmer 2011;Stavi & Lal 2011). However, the index focused on a long-term potential trend of soil carbon distribution, not only a single loss process from a single rainfall event.…”

Section: Scr Indexmentioning

confidence: 99%

“…Soil carbon was usually prone to deposition (or sequestration) in low-lying areas but was lost from upper slopes (Fang et al 2006). More soil carbon was prone to being lost on steeper slopes because of hydrological erosion (Page et al 2004;Hancock et al 2010). Doetterl et al (2012) discovered that 75 % of the variability of soil erosion could be explained by precipitation and slope, while soil characteristics contributed only a small amount (Doetterl et al 2012).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Assessment of the redistribution of soil carbon using a new index—a case study in the Haihe River Basin, North China

Chen

Zhou

et al. 2014

Environ Monit Assess

View full text Add to dashboard Cite

“…Palavras-chave: modelagem numérica do terreno, índices de representação da paisagem, análise de agrupamentos Indices representing landscape as a support for pedological survey in GIS environment INTRODUÇÃO Atualmente, sempre que o mapeamento de solos tem ganhado destaque dentro da comunidade científica, a preocupação com o meio ambiente aumenta e então surge a necessidade de se entender cada vez melhor a distribuição dos solos na paisagem, a variabilidade de seus atributos, seu potencial e suas limitações de uso (Gilo & Etzelmuller, 2009;Hancock et al, 2010;Oliveira Júnior et al, 2010;2011).…”

unclassified

Índices para a representação da paisagem como apoio para levantamento pedológico em ambiente de geoprocessamento

Prates

Souza²,

Oliveira

2012

Rev. bras. eng. agríc. ambient.

View full text Add to dashboard Cite

O mapeamento de solos tem ganhado destaque dentro da comunidade científica, pois, à medida em que a preocupação com o meio ambiente aumenta, ocorre a necessidade de se entender cada vez mais a distribuição dos solos na paisagem, tal como seu potencial e limitações de uso. Desta forma, o principal objetivo do trabalho foi aplicar índices de representação da paisagem com o apoio de geoprocessamento, suporte na delimitação dos diferentes compartimentos da paisagem. Foram utilizados índices primários Altitude above channel network (AACN) e secundários Channel network base level (CNBL, Multiresolution índex of valley bottom flatness (MRVBF) e Wetness índex (ITW), cujo estudo foi a Fazenda Experimental Canguiri, no município de Pinhais, região Metropolitana de Curitiba. Para correlacionar os atributos químicos e granulométricos por grupo de amostragem, totalizando 17 pontos (Sugamosto, 2002) foi gerada, no Software Statistica, uma matriz de correlação linear simples (Pearson) com os índices de representação da paisagem, os quais foram não apenas utilizados na análise de agrupamentos mas também eficientes no apoio do mapeamento dos solos, a nível de subordem do Sistema Brasileiro de Classificação de Solo.

show abstract

Hillslope and catchment scale soil organic carbon concentration: An assessment of the role of geomorphology and soil erosion in an undisturbed environment

Cited by 83 publications

References 53 publications

Three-dimensional interpolation of soil data: fertility and pedomorphological features in southern Brazil

Three-dimensional interpolation of soil data: fertility and pedomorphological features in southern Brazil

Assessment of the redistribution of soil carbon using a new index—a case study in the Haihe River Basin, North China

Índices para a representação da paisagem como apoio para levantamento pedológico em ambiente de geoprocessamento

Contact Info

Product

Resources

About