Determining the Spatial Variability of Wetland Soil Bulk Density, Organic Matter, and the Conversion Factor between Organic Matter and Organic Carbon across Coastal Louisiana, U.S.A.

2016 ◽  
Vol 33 (3) ◽  
pp. 507 ◽  
Author(s):  
Hongqing Wang
Keyword(s):  
Organic Matter ◽  
Organic Carbon ◽  
Spatial Variability ◽  
Bulk Density ◽  
Conversion Factor ◽  
Soil Bulk Density ◽  
Wetland Soil ◽  
Coastal Louisiana

scholarly journals Spatial Variability and Relationship of Mangrove Soil Organic Matter to Organic Carbon

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Pasicha Chaikaew ◽  
Suchana Chavanich
Keyword(s):  
Organic Matter ◽  
Organic Carbon ◽  
Spatial Variability ◽  
Conversion Factor ◽  
Surface Soil ◽  
Mangrove Forests ◽  
Mangrove Soil ◽  
Subsurface Soil ◽  
Mangrove Soils ◽  
Relationship Of

Degradation and destruction of mangrove forests in many regions have resulted in the alteration of carbon cycling. Objectives of this study were established to answer the question regarding how much soil organic carbon (SOC) is stored in wetland soils in part of the upper northeastern Gulf of Thailand and to what extent SOC is related to organic matter (OM). A total of 29 soil samples were collected in October 2015. Soil physiochemical analyses followed the standard protocol. Spatial distributions were estimated by a kriging method. Linear regression and coefficient were used to determine the suitable conversion factor for mangrove soils. The results showed that surface soil (0–5 cm) contained higher SOC content as compared to subsurface soil (5–10 cm). Considering a depth of 10 cm, this area had a high potential to sequester carbon with a mean ± standard deviation of5.59±2.24%. The spatial variability of OM and SOC revealed that organic matter and carbon decreased with the distance from upstream areas toward the gulf. Based on the assumption that OM is 50% SOC, the conversion factor of 2 is recommended for more accuracy rather than the conventional factor of 1.724.

A pedo-transfer function (PTF) for estimating soil bulk density from basic soil data and its comparison with existing PTFs

Soil Research ◽  
2002 ◽  
Vol 40 (5) ◽  
pp. 847 ◽  
Author(s):  
Ravinder Kaur ◽  
Sanjeev Kumar ◽  
H. P. Gurung
Keyword(s):  
Organic Matter ◽  
Organic Carbon ◽  
Carbon Content ◽  
Bulk Density ◽  
Soil Texture ◽  
Soil Bulk Density ◽  
Organic Carbon Content ◽  
Data Set ◽  
The Absolute ◽  
Relative Errors

Collection of non-destructive soil core samples for determination of bulk densities is costly, difficult, time- consuming, and often impractical. To overcome this difficulty, several attempts have been made in the past to estimate soil bulk densities through pedo-transfer functions (PTFs), requiring soil texture and organic carbon (OC) content data. Although many studies have shown that both organic carbon and texture predominantly determine soil bulk density, a majority of the PTFs developed so far are a function only of organic matter (OM)/OC. In addition, no attempts have been made to test and compare the applicability of these PTFs on an independent soil data set. Thus, through this study efforts have been made not only to develop a robust soil bulk density estimating PTF, based on both soil texture and organic carbon content data, but also to compare its predictive potential with the existing PTFs on an independent soil data set from 4 ecologically diverse micro-watersheds in Almora district of Uttaranchal State in India. Effects of varying levels of soil particle size distributions and/or OC/OM contents on the absolute relative errors associated with these PTFs were also analysed for assessing their applicability to the independent soil data set. Amongst the existing PTFs, Curtis and Post, Adams, Federer, and Huntington-A methods were found to be associated with positive bias or mean errors (ME) and root mean square prediction differences (RMSPD) ranging between 0.10 and 0.38, and between 0.23 and 0.45, respectively, whereas Alexander-A, Alexander-B, Manrique and Jones-A, Manrique and Jones-B, and Rawls methods were found to be associated with negative ME and RMSPD values ranging between -0.08 and -0.15, and 0.18 and 0.23, respectively. In contrast, Bernoux, Huntington-B, and Tomasella and Hodnett-PTFs, with RMSPD values ranging between 0.18 and 0.20, were the only methods associated with little or no bias. However, on comparing the predictive potential of the existing PTFs, in terms of their 1 : 1 relationships between the observed and predicted soil bulk densities and ME and RMSPD values, only Manrique and Jones-B (ME: -0.08; RMSPD: 0.18), Alexander-A (ME: -0.08; RMSPD: 0.19), and Rawls (ME: -0.11; RMSPD: 0.22) methods were observed to give somewhat more realistic soil bulk density estimations. The study revealed very limited predictive potential of the existing PTFs, due to their development on specific soils and/or ecosystems, use of an indirectly computed organic matter (instead of directly measured organic carbon) content as a predictor variable, poor predictive potential of developed regression model(s), and/or subjective errors. In contrast to this, the new soil bulk density estimating PTF was found to be associated with far better 1 : 1 relationship between the observed and predicted soil bulk densities and zero ME (or bias) and lowest (0.15 g/cm3) RMSPD values. The absolute relative errors associated with both the new and the existing soil OC/OM and texture-dependent PTFs were observed to be almost insensitive to the varying levels of silt and clay. However, compared with the existing PTFs, these errors associated with the new PTF were observed to be much more insensitive to the varying levels of OC/OM, thereby indicating the applicability of the new PTF to a wide range of soil types.

scholarly journals Uncertainties in the prediction of spatial variability of soil CO2 emissions and related properties

2012 ◽  
Vol 36 (5) ◽  
pp. 1466-1475 ◽  
Author(s):  
Daniel De Bortoli Teixeira ◽  
Elton da Silva Bicalho ◽  
Alan Rodrigo Panosso ◽  
Luciano Ito Perillo ◽  
Juliano Luciani Iamaguti ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Respiration ◽  
Spatial Variability ◽  
Bulk Density ◽  
Ordinary Kriging ◽  
Co2 Emission ◽  
Pore Space ◽  
Soil Bulk Density ◽  
Soil Co2 ◽  
Soil Co2 Emission

The soil CO2 emission has high spatial variability because it depends strongly on soil properties. The purpose of this study was to (i) characterize the spatial variability of soil respiration and related properties, (ii) evaluate the accuracy of results of the ordinary kriging method and sequential Gaussian simulation, and (iii) evaluate the uncertainty in predicting the spatial variability of soil CO2 emission and other properties using sequential Gaussian simulations. The study was conducted in a sugarcane area, using a regular sampling grid with 141 points, where soil CO2 emission, soil temperature, air-filled pore space, soil organic matter and soil bulk density were evaluated. All variables showed spatial dependence structure. The soil CO2 emission was positively correlated with organic matter (r = 0.25, p < 0.05) and air-filled pore space (r = 0.27, p < 0.01) and negatively with soil bulk density (r = -0.41, p < 0.01). However, when the estimated spatial values were considered, the air-filled pore space was the variable mainly responsible for the spatial characteristics of soil respiration, with a correlation of 0.26 (p < 0.01). For all variables, individual simulations represented the cumulative distribution functions and variograms better than ordinary kriging and E-type estimates. The greatest uncertainties in predicting soil CO2 emission were associated with areas with the highest estimated values, which produced estimates from 0.18 to 1.85 t CO2 ha-1, according to the different scenarios considered. The knowledge of the uncertainties generated by the different scenarios can be used in inventories of greenhouse gases, to provide conservative estimates of the potential emission of these gases.

Organic carbon, organic matter and bulk density relationships in boreal forest soils

2008 ◽  
Vol 88 (3) ◽  
pp. 315-325 ◽  
Author(s):  
Catherine Périé ◽  
Rock Ouimet
Keyword(s):  
Organic Matter ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Bulk Density ◽  
Forest Soils ◽  
Sandy Loam ◽  
Measurement Techniques ◽  
Complete Recovery ◽  
Soil Bulk Density ◽  
Dry Combustion

Relationships between soil organic carbon (SOC), organic matter (SOM), and bulk density (BD) were established in acidic loamy to sandy loam fine fractions of forest soils in Quebec (Canada). The interest of such relationships rests with the possibility of using simple and rapid techniques to estimate SOC and BD. It is also a crucial step in establishing the correspondence among several databases when SOC data are obtained using different measurement techniques. In this study, SOC was measuredby dry combustion (SOCNDC) and wet digestion (SOCWD) methods, and organic matter by loss-on-ignition (LOI). Our results suggest that, in these soils: (1) LOI can be used for estimating SOC (r2 = 0.95, RMSEP = 16%) and SOCDC/SOM significantly decreased with increasing depth from 0.49 to 0.27; (2) SOCDC and SOCWD were highly correlated. Even if SOCWD provided near complete recovery of SOCDC, dry combustion remains the preferred method for SOC analysis since recovery decreased with increasing depth from 100 to 83%. (3) BD was also strongly related to SOM(r2 = 0.81). We recommend using the organic density approach to estimate BD from SOM because it allows BD to be predicted without significant bias and with a degree of accuracy of 14%. Key words: Forest soils, soil organic carbon, soil organic matter, soil bulk density

scholarly journals VARIABILIDADE ESPACIAL DO FLUXO DE CO2 DO SOLO EM POVOAMENTO DE EUCALIPTO

FLORESTA ◽  
2011 ◽  
Vol 41 (2) ◽  
Author(s):  
Alexandre Fonseca D’Andréa ◽  
Marx Leandro Naves Silva ◽  
Diego Antonio França de Freitas ◽  
Nilton Curi ◽  
Carlos Alberto Silva
Keyword(s):  
Organic Matter ◽  
Environmental Factors ◽  
Organic Carbon ◽  
Spatial Variability ◽  
Linear Correlation ◽  
Microbial Biomass Carbon ◽  
Co2 Flux ◽  
Water Evaporation ◽  
Soil Co2 ◽  
Soil Co2 Flux

A matéria orgânica do solo armazena a maior parte do carbono contido nos sistemas terrestres do planeta, sendo a maioria encontrada nos solos com floresta. O objetivo deste trabalho foi quantificar o fluxo de CO2 do solo e a sua variabilidade espacial em povoamento de Eucalyptus sp. Foram avaliados o fluxo de CO2 do solo, fatores ambientais (evaporação de água, temperatura e umidade do solo), atributos relacionados à fertilidade (pH, soma de bases e alumínio trocável), estrutura (densidade do solo e porosidade total) e matéria orgânica do solo (carbono orgânico total e carbono da biomassa microbiana). Análises de correlação linear simples indicaram que parte da variabilidade espacial do fluxo de CO2 do solo pode ser explicada pelo efeito conjunto do teor de carbono orgânico do solo, da biomassa da serapilheira e da presença de árvores no terreno, indicativas da participação de fatores bióticos no processo. No entanto, o fluxo de CO2 do solo é um fenômeno de natureza complexa, não sendo possível identificar um único atributo do solo ou do ambiente que, isoladamente, explique sua variação no espaço.Palavras-chave: Matéria orgânica; fatores ambientais; fertilidade; carbono; respiração do solo.AbstractSoil CO2 flux spatial variability on eucalyptus manmade forest.  The organic matter on soil retains most of carbon contained in the planet terrestrial systems, specially in forest soils. The aim of this work was to quantify soil CO2 flux and its spatial variability on Eucalyptus sp. manmade forest. In order to that, soil CO2 flux, environmental factors (water evaporation, soil temperature and moisture), fertility attributes (pH, bases sum and exchangeable aluminum), structure (bulk density and total porosity), and soil organic matter (total organic carbon and microbial biomass carbon) were evaluated. Simple linear correlation analyses indicated that part of the spatial variability of soil CO2 flux can be explained by the associated effect of soil organic carbon amount, litter biomass and presence of trees, indicatives of participation of biotic factors in the process. However, the soil CO2 flux is a complex phenomenon, been impossible to identify a single soil or environmental attribute, which, individually, could explain its spatial variability. Keywords: Organic matter; environmental factors; fertility; carbon; linear correlation. 

scholarly journals Aspen and white spruce productivity is reduced by organic matter removal and soil compaction

2012 ◽  
Vol 88 (03) ◽  
pp. 306-316 ◽  
Author(s):  
Richard Kabzems
Keyword(s):  
Organic Matter ◽  
Soil Properties ◽  
Bulk Density ◽  
Soil Compaction ◽  
Forest Floor ◽  
Mineral Soil ◽  
White Spruce ◽  
Soil Bulk Density ◽  
Post Treatment ◽  
Organic Matter Removal

Declines in forest productivity have been linked to losses of organic matter and soil porosity. To assess how removal of organic matter and soil compaction affect short-term ecosystem dynamics, pre-treatment and year 1, 5 and 10 post-treatment soil properties and post-treatment plant community responses were examined in a boreal trembling aspen (Populus tremuloidesMichx.)-dominated ecosystem in northeastern British Columbia. The experiment used a completely randomized design with three levels of organic matter removal (tree stems only; stems and slash; stems, slash and forest floor) and three levels of soil compaction (none, intermediate [2-cm impression], heavy [5-cm impression]). Removal of the forest floor initially stimulated aspen regeneration and significantly reduced height growth of aspen (198 cm compared to 472–480 cm) as well as white spruce (Picea glauca [Moench] Voss) height (82 cm compared to 154–156 cm). The compaction treatments had no effect on aspen regeneration density. At Year 10, heights of both aspen and white spruce were negatively correlated with upper mineral soil bulk density and were lowest on forest floor + whole tree removal treatments. Recovery of soil properties was occurring in the 0 cm to 2 cm layer of mineral soil. Bulk density values for the 0 cm to 10 cm depth remained above 86% of the maximum bulk density for the site, a soil condition where reduced tree growth can be expected.

Soil hydrology and vegetation as impacted by goat grazing in Vertisols and Regosols in semi-arid shrublands of northern Mexico

2017 ◽  
Vol 39 (4) ◽  
pp. 363 ◽  
Author(s):  
Nallely A. Carbajal-Morón ◽  
Mario G. Manzano ◽  
Ricardo Mata-González
Keyword(s):  
Organic Matter ◽  
Bulk Density ◽  
Plant Cover ◽  
Grazing Intensity ◽  
Soil Bulk Density ◽  
Soil Hydrology ◽  
Goat Grazing ◽  
Heavy Grazing ◽  
The World ◽  
Tamaulipan Thornscrub

Shrubland ecosystems are less studied than grasslands regarding the role of domestic grazing on ecosystem degradation in the world, but particularly in Mexico. Of special concern is the paucity of research on soil hydrological responses to the impact of livestock. Here, we assessed the role that specific soil and surface characteristics play in soil hydrology as a response to goat grazing intensity in two different soil types, Regosol and Vertisol, in the Tamaulipan thornscrub of north-eastern Mexico. At each soil unit, a set of grazing regimes was identified, including heavy grazing (HG), moderate grazing (MG) and a no-grazing (NG) reference area, and selected soil properties and plant cover were evaluated. In Regosol sites, soil organic matter varied among all grazing regimes (4.6% higher on NG and 2.1% higher on MG with respect HG) and no dissimilarities on bulk density were recorded. For Vertisol sites, soil bulk density increased with grazing intensity (16% higher on MG and 37% higher on HG with respect to NG) whereas plant cover linearly decreased from 86% in NG to 29% in MG and 9% in HG sites. Soil organic matter content for Regosol, and plant cover and soil bulk density for Vertisol appeared as the best indicators of water infiltration and moisture retention for the grazing conditions assessed. Differences in those key driving variables may help explain surface hydrology responses to goat grazing in rangeland soils of Tamaulipan thornscrub ecosystems and possibly on similar rangelands around the world. Clear signs of vegetation degradation were also observed, manifested by a loss in species diversity and plant cover, especially under heavy grazing. This reflects unsustainable livestock management practices that should be avoided. This study contributes to improve our understanding of rangeland degradation processes and justifies devising more sustainable grazing management schemes.

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