Distributions of organic carbon and related parameters in a Louisiana sugarcane soil

Selim, H. M.; Newman, A.; Zhang, Liyun; Arceneaux, Allen; Tubaña, Brenda; Gaston, Lewis A.

doi:10.1016/j.still.2015.09.010

Cited by 19 publications

(9 citation statements)

References 32 publications

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“…Meanwhile, corresponding to the values of actual carbon densities in all the forest-present plots, the estimated values of carbon densities (the estimated carbon densities) for these plots were computed from the optimization models. The ArcGIS 10.2 software was used to produce the maps of carbon densities for natural forests, planted forests, and all forests based on the corresponding optimization models by classical kriging interpolation (Selim et al 2016;Xu et al 2015). Additionally, paired t test was used to determine if there was a significant difference between the means of actual and estimated carbon densities for natural forests, planted forests, all forests, and each sub-region.…”

Section: Geostatistical Analysismentioning

confidence: 99%

Similar carbon density of natural and planted forests in the Lüliang Mountains, China

Wang

2018

Annals of Forest Science

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& Key message The carbon density was not different between natural and planted forests, while the biomass carbon density was greater in natural forests than in planted forests. The difference is due primarily to the larger carbon density in the standing trees in natural forests compared to planted forests (at an average age of 50.6 and 15.7 years, respectively). & Context Afforestation and reforestation programs might have noticeable effect on carbon stock. An integrated assessment of the forest carbon density in mountain regions is vital to evaluate the contribution of planted forests to carbon sequestration. & Aims We compared the carbon densities and carbon stocks between natural and planted forests in the Lüliang Mountains region where large-scale afforestation and reforestation programs have been implemented. The introduced peashrubs (Caragana spp.), poplars (Populus spp.), black locust (Robinia pseudoacacia), and native Chinese pine (Pinus tabulaeformis) were the four most common species in planted forests. In contrast, the deciduous oaks (Quercus spp.), Asia white birch (Betula platyphylla), wild poplar (Populus davidiana), and Chinese pine (Pinus tabulaeformis) dominated in natural forests. & Methods Based on the forest inventory data of 3768 sample plots, we estimated the values of carbon densities and carbon stocks of natural and planted forests, and analyzed the spatial patterns of carbon densities and the effects of various factors on carbon densities using semivariogram analysis and nested analysis of variance (nested ANOVA), respectively. & Results The carbon density was 123.7 and 119.7 Mg ha −1 for natural and planted forests respectively. Natural and planted forests accounted for 54.8% and 45.2% of the total carbon stock over the whole region, respectively. The biomass carbon density (the above-and belowground biomass plus dead wood and litter biomass carbon density) was greater in natural forests than in planted forests (22.5 versus 13.2 Mg ha −1). The higher (lower) spatial carbon density variability of natural (planted) forests was featured with a much smaller (larger) range value of 32.7 km (102.0 km) within which a strong (moderate) spatial autocorrelation could be observed. Stand age, stand density, annual mean temperature, and annual precipitation had statistically significant effects on the carbon density of all forests in the region. & Conclusion No significant difference was detected in the carbon densities between natural and planted forests, and planted forests have made a substantial contribution to the total carbon stock of the region due to the implementation of large-scale afforestation and reforestation programs. The spatial patterns of carbon densities were clearly different between natural and planted forests. Stand age, stand density, temperature, and precipitation were important factors influencing forest carbon density over the mountain region.

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Section: Geostatistical Analysismentioning

confidence: 99%

Similar carbon density of natural and planted forests in the Lüliang Mountains, China

Wang

2018

Annals of Forest Science

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“…The pH of LS was neutral (7.2), whereas HS was acidic (5.9) and the EC was higher at LS (0.6 vs. 0.1 dS m −1 ). Since inorganic C is undetectable in soil from this area (Selim et al., 2016), we interpreted soil C content as soil organic C (SOC). Both sites contained less SOC (0.92 and 0.85% at LS and HS sites, respectively) than found in other soils under sugarcane production in southern Louisiana (ranging from 1.0 to 2.4%; Johnson & Richard, 2005).…”

Section: Resultsmentioning

confidence: 99%

Agronomic and environmental performance of biochar amendment in alluvial soils under subtropical sugarcane production

Tafti

Wang

Gaston

et al. 2021

Agrosystems Geosci & Env

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This study investigated the amendment of sugarcane bagasse biochar (SCBB) on soil fertility, crop yield, and nutrient loss in two different-textured soils under sugarcane (Saccharum spp.) production. Eleven megagrams per hectare of freshly incorporated biochar increased yield of plant cane by 22% in light-texture soil (LS) and 12% in heavy-textured soil (HS). Although the overall yield of the ratoon crop was lower, the biochar treatment produced 20 and 14% higher yields than the control at the LS and HS sites, respectively. Biochar increased soil carbon (C soil ) across LS and HS sites by 15% and decreased the soil C/N ratio by 19%. Over the two growing seasons and sites, cumulative runoff volume, and loads of NO 3 --N, PO 4 -3 -P, biological oxygen demand (BOD 5 ), total organic C (TOC), and total suspended solids (TSS) were reduced by 33, 35, 39, 25, 24, and 54% with biochar. Calcium and K losses in runoff were also reduced by 43 and 24% with biochar. It reduced NH 4 + -N leaching in LS and HS soils over the two growing seasons by 33-167% and 66-81%, respectively, and reduced PO 4 -3 -P leaching by 45-57% in HS over 2 yr. Although biochar is not considered a fertilizer, SCBB acted as a source of nutrients, increasing soil fertility and crop yield. It also reduced nutrient losses during heavy rain events typical of the subtropical climate of Louisiana. 1 INTRODUCTION Sugarcane(Saccharum spp.) is one of the major crops in Louisiana, the second largest producer of sugarcane in the United States (Viator et al., 2019). Harvest sugarcane gen-Abbreviations: BOD 5 , biological oxygen demand; CEC, cation exchange capacity; DIW, deionized water; EC, electrical conductivity; HS, heavy-textured soil; ICP-OES, inductively coupled plasma-optical emission spectroscopy; LS, light-textured soil; SCBB, sugarcane bagasse biochar; TOC, total organic carbon; TSS, total suspended solidsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…SOC sequestration is related to organic matter decomposition in litter and soils (Keeler, Hobbie, & Kellogg, ; Selim et al, ), belowground C allocation in root and mycorrhizal exudation (Cusack, Silver, Torn, & McDowell, ), and microbial composition and activity (Ramirez, Craine, & Fierer, ). STN stock changes depend on biological N fixation, atmospheric N deposition, plant N absorption, and N emission to the atmosphere or groundwater (Li et al, ).…”

Section: Discussionmentioning

confidence: 99%

Effects of plantation age and precipitation gradient on soil carbon and nitrogen changes following afforestation in the Chinese Loess Plateau

Han

Gao

et al. 2019

Land Degrad Dev

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Afforestation of degraded land significantly influences soil organic carbon (SOC) and total nitrogen (STN) sequestration. The interaction effects of plantation age and climate gradient on SOC and STN changes following afforestation are not well understood. In this study, five sites were selected along a precipitation gradient (410–600 mm yr−1) in the Loess Plateau. The SOC and STN stocks at a depth of 0–200 cm were measured in cropland and black locust (Robinia pseudoacacia L.) forests with different plantation ages, that is, young forest (<15 years), middle‐aged forest (15–25 years), and old forest (>25 years). The SOC and STN stocks in the 0‐ to 200‐cm profiles of young forest, middle‐aged forest, and cropland increased significantly with mean annual precipitation (p < .05), whereas the increasing trend of the SOC stocks of old forest was not significant, indicating an age‐dependent change in the SOC and STN stocks across the precipitation gradient. The SOC stock change (∆SOC) following afforestation increased with mean annual precipitation in young forest, but it had a decreasing trend in middle‐aged and old forests. The STN stock changes (∆STN) in the three forests were negative at most sites, and they all decreased along the precipitation gradient. There were significant positive correlations between ∆SOC and ∆STN (p < .01), and 1‐g STN stock accumulation was accompanied by 8.40‐, 6.10‐, and 10.48‐g SOC accumulation for young forest, middle‐aged forest, and old forest, respectively. The different patterns of SOC and STN stock changes should be incorporated into soil C and N modelling and estimation.

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Distributions of organic carbon and related parameters in a Louisiana sugarcane soil

Cited by 19 publications

References 32 publications

Similar carbon density of natural and planted forests in the Lüliang Mountains, China

Similar carbon density of natural and planted forests in the Lüliang Mountains, China

Agronomic and environmental performance of biochar amendment in alluvial soils under subtropical sugarcane production

Effects of plantation age and precipitation gradient on soil carbon and nitrogen changes following afforestation in the Chinese Loess Plateau

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