Brazil's Soil Carbon Stocks

Bernoux, Martial; Carvalho, Maria da Conceição Santana; Volkoff, Boris; Cerri, Carlos Clemente

doi:10.2136/sssaj2002.8880

Cited by 200 publications

(65 citation statements)

References 18 publications

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“…The range of the soil units and their carbon stock are shown in Table 4. Previous carbon stock maps for these regions (Bernoux et al 2002) estimated that podzol areas store about 275 t C ha −1 (0-1 m soil thickness), which is lower than our estimation of 415 t C ha −1 as average carbon stock in the podzol areas (0-4 m soil thickness) when we take into account the deep SOM-rich podzol horizons.…”

Section: Mapping the Depth Of Carbon Stock In Podzol Regionscontrasting

confidence: 93%

“…The final group consists of herbaceous and flooded areas. The presence of podzols in such areas was disregarded in previous studies (Batjes and Dijkshoorn 1999;Bernoux et al 2002;Cerri et al 2007;Saatchi et al 2007). The topsoil horizons comprise high SOM content.…”

Section: Mapping the Depth Of Carbon Stock In Podzol Regionsmentioning

confidence: 99%

“…Most spatialization methods disregard the occurrence of soil organic carbon (SOC) stored at depths greater than 0.3 m. According to most studies conducted in the Amazon, the carbon stock in soils was estimated around 6-9.4 kg C m −2 considering the first 0.3 m of soil (Bernoux et al 2002), but recent research (Montes et al 2011) showed that in hydromorphic podzols the carbon stock can exceed 66.7 kg C m −2 (0-5 m). Such values suggest that the carbon stored in hydromorphic podzols might represent a significant part of the total organic carbon (TOC) stored in the Amazonian biome.…”

Section: Introductionmentioning

confidence: 99%

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A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols

Pereira

Montes

Lucas

et al. 2015

International Journal of Remote Sensing

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The Rio Negro basin is characterized by the extensive occurrence of podzol-type soils that store large amounts of organic matter in depth, resulting in the storage of carbon able available to the atmosphere with climate change. The quantification of this carbon requires determination of podzol types and their spatial distribution. Remote-sensing techniques would be helpful in indirect spatializing and segmentation of soil groups in Amazonian podzols. Here we associated remote-sensing images (Shuttle Radar Topographic Mission (SRTM), Operational Land Imager sensor/Landsat 8, and Thermal Infrared Sensor/Landsat 8) and field sample data in order to achieve carbon stock mapping. We found that a multi-sensor approach was critical for a proper segmentation of vegetation groups and spatial distribution of areas with different hydrologic soil regimes.

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Section: Mapping the Depth Of Carbon Stock In Podzol Regionscontrasting

confidence: 93%

Section: Mapping the Depth Of Carbon Stock In Podzol Regionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols

Pereira

Montes

Lucas

et al. 2015

International Journal of Remote Sensing

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“…The first one, the extensive inventory allowed us to consider soil spatial variability and to know the importance of the soil C in the ecosystem. Bernoux et al (2002) emphasized the importance of large-scale studies to refine global estimations obtained by the aggregation of local estimates. Previous studies carried out on the tree biomass in this region (Herrero & Bravo, 2012) showed that Pinus spp.…”

Section: Species Forest Compositionmentioning

confidence: 99%

Carbon content of forest floor and mineral soil in Mediterranean Pinus spp. and Oak stands in acid soils in Northern Spain

et al. 2016

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Aim of study: The aim of the study was to determine the baseline carbon stock in forest floor and mineral soils in pine and oak stands in acid soils in Northern Spain.Area of study: The study area is situated in northern Spain (42° N, 4° W) on "Paramos y Valles" region of Palencia. Material and methods:An extensive monitoring composed of 48 plots (31 in pine and 17 in oak stands) was carried out. Litter layers and mineral soil samples, at depths of 0-30 cm and 30-60 cm, were taken in each plot. An intensive monitoring was also performed by sampling 12 of these 48 plots selected taken in account species forest composition and their stand development stage. Microbial biomass C (C MB ), C mineralization (C RB ), and soil organic C balance at stand level were determined in surface soil samples of intensive monitoring.Main results: No differences in soil C content were detected in the two forest ecosystems up to 60 cm depth (53.0±25.8 Mg C ha -1 in Pinus spp. plantations and 60.3±43.8 Mg C ha -1 in oak stands). However, differences in total C (C T ), C MB and C RB were found in the upper 10 cm of the soils depending on the stand development stage in each species forest composition (Pinus nigra, Pinus pinaster, Pinus sylvestris and Quercus pyrenaica). Plots with high development stage exhibited significant lower metabolic quotient (qCO 2 ), so, meant more efficient utilization of C by the microbial community. The C content in the forest floor was higher in pine stands (13.7±0.9 Mg C ha -1 ) than in oak stands (5.4±0.7 Mg C ha -1 ). A greater turnover time was found in pine ecosystems vs. oak stands. In contrast, forest floor H layer was nonexistent in oak stands.Research highlights: Results about litterfall, forest floor and mineral soil dynamics in this paper can be used strategically to reach environmental goals in new afforestation programs and sustainable forest management approaches.

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“…SOC density of each soil layer was estimated using the equation which was used by Schwager and Mikhailova (2002) as well as Wang et al (2010). We used the upper 30 cm depth for estimation of SOC density, as suggested by earlier researchers like Bernoux et al, (2002), Bhatti et al (2002) and Wang et al (2010).…”

Section: Soil Sampling and Laboratory Methodsmentioning

confidence: 99%

Spatial variability analysis of soil quality parameters in a watershed of Sub-Himalayan Landscape - A case study

Kalambukattu¹,

Kumar²,

Ghotekar³

2018

Eurasian Journal of Soil Science (Ejss)

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Article Info Received : 29.01.2018 Accepted : 18.05.2018 Soil organic carbon (SOC) is a key component in maintaining soil quality. Mapping the local scale variations in the distribution and stratification of SOC and other soil quality parameters across different layers has always been a challenging task, in the current global scenario of changing climates. The study was aimed to investigate the spatial distribution of SOC and other soil quality parameters including SOC stratification ratio and CN ratio in a small hilly watershed (̴ 10 km 2 ) located in the mid Himalayan region of Himachal Pradesh, India. Soil samples were collected in November 2015, from 75 points at two depths (0-15 cm and 15-30cm), along with their geographical coordinates using a Global Positioning System (GPS). The results revealed that SOC concentration (g kg -1 ) decreased with increasing soil depth, throughout the study area and differed significantly (P<0.01) between the two depths in vertical soil profile. The SOC stratification ratio values were greater than 1.2 in major portion of watershed indicating a spatial improvement in soil quality. C: N ratio, another important soil quality attribute values were found to be <12:1, indicating high degree of soil quality and increased rate of organic matter mineralization. The spatial distribution maps of SOC content (g kg -1 ), SOC stratification ratio as well as CN ratio of study area were generated using Inverse Distance Weighted (IDW) interpolation approach. Additionally soil quality index (SQI) was also computed using various soil quality parameters based on Analytical Hierarchy Process (AHP) and their spatial distribution was analyzed in the watershed. Nearly 76% of the study area had SQI values in the range of 60-75, whereas 22.16% of the area had SQI<60 and 2.59% had SQI>75. The overall results indicated that a higher degree of soil quality existed at the higher elevation regions of the watershed. Majority of the soils in the watershed accounted for only 60% of the maximum possible value of SQI, which necessitates the adoption of better management practices for improving the soil quality.

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Brazil's Soil Carbon Stocks

Cited by 200 publications

References 18 publications

A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols

A multi-sensor approach for mapping plant-derived carbon storage in Amazonian podzols

Carbon content of forest floor and mineral soil in Mediterranean Pinus spp. and Oak stands in acid soils in Northern Spain

Spatial variability analysis of soil quality parameters in a watershed of Sub-Himalayan Landscape - A case study

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