Land use effects on soil carbon in the Argentine Pampas

Berhongaray, Gonzalo; Álvarez, Roberto; Paepe, Josefina de; Caride, Constanza; Cantet, Rodolfo Juan Carlos

doi:10.1016/j.geoderma.2012.07.016

Cited by 100 publications

(51 citation statements)

References 71 publications

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“…Rhoades et al (2000) reported a 70% reduction in SOC in Ecuador in the upper 30 cm of top soil when original forest was converted to sugarcane plantation (Saccharum sp.). Berhangaray et al (2013) investigated the impact of changes in land use on soil carbon and found higher SOC under trees than under pasture and agricultural lands. In our study, tree plantations stored 34% less carbon than native forest, but the land use change sequence was different.…”

Section: Response Variablesmentioning

confidence: 99%

Impact of changes in land use, species and elevation on soil organic carbon and total nitrogen in Ethiopian Central Highlands

et al. 2016

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Section: Response Variablesmentioning

confidence: 99%

Impact of changes in land use, species and elevation on soil organic carbon and total nitrogen in Ethiopian Central Highlands

et al. 2016

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“…The site is characterized by relatively flat terrain that progressively rises by a few meters from the riverbank to the end of the terraces, at an altitude of 114.7 to 155.8 m over a distance of 700 m. These floodplains are relatively large in size (˘300 m), and the sediment input that affects them originates from the river during flood events. In this area, riverside woodlands are surrounded by farmland, which is still a potential source of sediment (silt and mainly fine sand) that can provide nutrients to the surface soil [17,22]. The digital terrain model shows that the microtopography of the site is characterized by gentle slopes with a succession of ridges and troughs including a large depression that parallel to the riverbank.…”

Section: Toc Variation and Modeling Of Elevation Levelsmentioning

confidence: 99%

“…Furthermore, there are relatively few studies on the soil-forming processes in floodplains subject to periodic flooding [20,21]. The characterization of alluvial soils, the edaphic and microtopographic conditions, along with flood episodes are key elements for analyzing the spatial variability of the soil organic carbon content [21,22], in addition to understanding the dynamics of and changes in the river system [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Impacts of Floods on Organic Carbon Concentrations in Alluvial Soils along Hydrological Gradients Using a Digital Elevation Model (DEM)

Saint-Laurent

Paradis

Drouin

et al. 2016

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This study examines the spatial distribution of the organic carbon found in alluvial soils affected by successive floods. In flood zones, very little is known of the processes associated with the development of soils subjected to frequent flooding, in particular with respect to the accumulation of litter and organic carbon concentrations. The aim of this study is to better understand the distribution of organic carbon based on various hydrological gradients associated with flood recurrence. A digital elevation model was developed from LIDAR data to assess the microtopography of the site, and further delineate floodplains and no-flood zones. Various soil properties were considered in addition to organic carbon, such as pH, soil bulk density, litter, drainage, and topographic levels (elevation). The results show that the soils in the frequent-flood zones (FFz, recurrence of 0-20 years) have significantly less total organic carbon than the soils in the no-flood zones (NFz) and the moderate flood zones (MFz,. Average values obtained for the surface horizons (0-20 cm) vary by 1.74%˘0.85% (FFz), 3.34%˘1.09% (MFz) and 3.54%˘1.77% (NFz), respectively. The absence of ground litter in the frequent flood zones helps decrease the input of organic matter in the surface horizons and progressively results in soil depletion.

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“…Examples include Berhongaray et al (2013) estimating SOC stocks in Argentine Pampas, Cheng et al (2004) predicting SOC concentration in a subtropical area in China, Vasques et al (2010) estimating SOC stocks in a subtropical watershed in Florida. Digital soil mapping has been used in Brazil (Giasson et al, 2006;Mendonça-Santos and Santos, 2007) and examples of SOC predictions include the studies by Mendonça- whom used regression-kriging for evaluate the SOC stocks in Rio de Janeiro State, and de Souza et al (2014) using regression-kriging to predict SOC and clay content in Rio Doce Basin (Minas Gerais State).…”

Section: Introductionmentioning

confidence: 99%