Total soil organic carbon and carbon sequestration potential in Nigeria

Akpa, Stephen; Odeh, Inakwu O. A.; Bishop, Thomas; Hartemink, Alfred E.; Amapu, Ishaku Y.

doi:10.1016/j.geoderma.2016.02.021

Cited by 165 publications

(70 citation statements)

References 85 publications

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“…In particular, Cubist can model non-linear relations by building a series of piecewise regression models linked to form a smoothed function. For these reasons Cubist has been used to estimate and map a variety of features, such as soil organic carbon (Somarathna et al, 2016, Viscarra Rossel et al, 2016, Akpa et al, 2016), soil erosion by wind (Borrelli et al, 2014), forest biomass (Blackard et al, 2008, Freeman and Moisen, 2007), soil properties (Gray et al, 2015, Padarian et al, 2015). The Cubist model is additive and each month's R-factor model is initially fitted using the full set of covariates.…”

Section: Methodsmentioning

confidence: 99%

Mapping monthly rainfall erosivity in Europe

Ballabio

Borrelli

Spinoni

et al. 2017

Science of The Total Environment

165

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Rainfall erosivity as a dynamic factor of soil loss by water erosion is modelled intra-annually for the first time at European scale. The development of Rainfall Erosivity Database at European Scale (REDES) and its 2015 update with the extension to monthly component allowed to develop monthly and seasonal R-factor maps and assess rainfall erosivity both spatially and temporally. During winter months, significant rainfall erosivity is present only in part of the Mediterranean countries. A sudden increase of erosivity occurs in major part of European Union (except Mediterranean basin, western part of Britain and Ireland) in May and the highest values are registered during summer months. Starting from September, R-factor has a decreasing trend. The mean rainfall erosivity in summer is almost 4 times higher (315 MJ mm ha− 1 h− 1) compared to winter (87 MJ mm ha− 1 h− 1).The Cubist model has been selected among various statistical models to perform the spatial interpolation due to its excellent performance, ability to model non-linearity and interpretability. The monthly prediction is an order more difficult than the annual one as it is limited by the number of covariates and, for consistency, the sum of all months has to be close to annual erosivity. The performance of the Cubist models proved to be generally high, resulting in R2 values between 0.40 and 0.64 in cross-validation. The obtained months show an increasing trend of erosivity occurring from winter to summer starting from western to Eastern Europe. The maps also show a clear delineation of areas with different erosivity seasonal patterns, whose spatial outline was evidenced by cluster analysis. The monthly erosivity maps can be used to develop composite indicators that map both intra-annual variability and concentration of erosive events. Consequently, spatio-temporal mapping of rainfall erosivity permits to identify the months and the areas with highest risk of soil loss where conservation measures should be applied in different seasons of the year.

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Section: Methodsmentioning

confidence: 99%

Mapping monthly rainfall erosivity in Europe

Ballabio

Borrelli

Spinoni

et al. 2017

Science of The Total Environment

165

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“…Thus, management opportunities must be identified for site-specific situations for enhancing the terrestrial C sinks (Post et al, 2012 The priority of measuring SOC stocks and fluxes must be at national and regional scales, especially of degraded and depleted soils in developing countries. Because of the strong historic depletion and thus the potentially high SOC sink capacity, the priority should be in measurement and monitoring of SOC stock and fluxes in soils of the tropics (Lugo & Brown, 1993;Batjes and Sombroek, 1997), Sub-Saharan Africa (Akpa, Odeh, Bishop, Hartemink, & Amapu, 2016;Doumbia et al, 2009;Lykke et al, 2009;Saiz et al, 2012), and South Asia (Lal, 2004(Lal, , 2017. There is also need to quantify SOC stocks and fluxes for developed country regions such as Australia (Godde, Thorburn, Biggs, & Meier, 2016), Europe (Booth et al, 2005;Freibauer, Rounsevell, Smith, & Verhagen, 2004;Stolbovoi, 2002) and the United States (Lokupitiya et al, 2012).…”

Section: Carbon Stocksmentioning

confidence: 99%

Digging deeper: A holistic perspective of factors affecting soil organic carbon sequestration in agroecosystems

Lal

2018

Global Change Biology

559

239

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The global magnitude (Pg) of soil organic carbon (SOC) is 677 to 0.3-m, 993 to 0.5-m, and 1,505 to 1-m depth. Thus, ~55% of SOC to 1-m lies below 0.3-m depth. Soils of agroecosystems are depleted of their SOC stock and have a low use efficiency of inputs of agronomic yield. This review is a collation and synthesis of articles published in peer-reviewed journals. The rates of SOC sequestration are scaled up to the global level by linear extrapolation. Soil C sink capacity depends on depth, clay content and mineralogy, plant available water holding capacity, nutrient reserves, landscape position, and the antecedent SOC stock. Estimates of the historic depletion of SOC in world soils, 115-154 (average of 135) Pg C and equivalent to the technical potential or the maximum soil C sink capacity, need to be improved. A positive soil C budget is created by increasing the input of biomass-C to exceed the SOC losses by erosion and mineralization. The global hotspots of SOC sequestration, soils which are farther from C saturation, include eroded, degraded, desertified, and depleted soils. Ecosystems where SOC sequestration is feasible include 4,900 Mha of agricultural land including 332 Mha equipped for irrigation, 400 Mha of urban lands, and ~2,000 Mha of degraded lands. The rate of SOC sequestration (Mg C ha year ) is 0.25-1.0 in croplands, 0.10-0.175 in pastures, 0.5-1.0 in permanent crops and urban lands, 0.3-0.7 in salt-affected and chemically degraded soils, 0.2-0.5 in physically degraded and prone to water erosion, and 0.05-0.2 for those susceptible to wind erosion. Global technical potential of SOC sequestration is 1.45-3.44 Pg C/year (2.45 Pg C/year).

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“…A study in Nigeria also revealed that 20-60 t ha-1 is found in top 0.3 m soil layer and a total of 118 Mg C ha-1 can be found in the top 1 m. Humid forest zone contains more C than any other zone [113], and the C stock of Australian topsoils was found to be around 25 Gt because of great land mass as well as low temperature [114].…”

Section: Biocharmentioning

confidence: 99%

Enhancing Carbon Sequestration Using Organic Amendments and Agricultural Practices

Farooqi¹,

Ṣābir²,

Zeeshan³

et al. 2018

Carbon Capture, Utilization and Sequestration

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Carbon sequestration (CS) is an important strategy for the mitigation of climate change (CC) as well as for improving the soil fertility of agricultural soils. Carbon sequestration in crop lands and rangelands requires a certain amount of organic matter (OM) presence in the soil called soil organic matter (SOM). Organic amendments like animal and poultry manures, the incorporation of different crop residues, different types of compost, sugarcane bagasse, peat soils, different wood chips, biochar and good agricultural practices like cover crops, nutrient management, mulching, zero and no-tillage techniques, soil biota management and mulching are effectively used for this purpose. These enhance the SOM and improve the soil's physical and chemical properties which help to sequester more C in soil which ultimately contributes towards CS and CC mitigation.

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Total soil organic carbon and carbon sequestration potential in Nigeria

Cited by 165 publications

References 85 publications

Mapping monthly rainfall erosivity in Europe

Mapping monthly rainfall erosivity in Europe

Digging deeper: A holistic perspective of factors affecting soil organic carbon sequestration in agroecosystems

Enhancing Carbon Sequestration Using Organic Amendments and Agricultural Practices

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