scholarly journals Spatial variability of soil CO2 emission in different topographic positions

Bragantia ◽  
2010 ◽  
Vol 69 (suppl) ◽  
pp. 19-27 ◽  
Author(s):  
Liziane de Figueiredo Brito ◽  
José Marques Júnior ◽  
Gener Tadeu Pereira ◽  
Newton La Scala Junior
Keyword(s):  
Spatial Variability ◽  
Spatial Dependence ◽  
Co2 Emission ◽  
Mean Value ◽  
Soil Co2 ◽  
Distribution Maps ◽  
Soil Co2 Emission ◽  
Spherical Models ◽  
The Mean ◽  
Topographic Positions

The spatial variability of soil CO2 emission is controlled by several properties related to the production and transport of CO2 inside the soil. Considering that soil properties are also influenced by topography, the objective of this work was to investigate the spatial variability of soil CO2 emission in three different topographic positions in an area cultivated with sugarcane, just after mechanical harvest. One location was selected on a concave-shaped form and two others on linear-shaped form (in back-slope and foot-slope). Three grids were installed, one in each location, containing 69 points and measuring 90 x 90 m each. The spatial variability of soil CO2 emission was characterized by means of semivariance. Spatial variability models derived from soil CO2 emission were exponential in the concave location while spherical models fitted better in the linear shaped areas. The degree of spatial dependence was moderate in all cases and the range of spatial dependence for the CO2 emission in the concave area was 44.5 m, higher than the mean value obtained for the linear shaped areas (20.65 m). The spatial distribution maps of soil CO2 emission indicate a higher discontinuity of emission in the linear form when compared to the concave form.

scholarly journals Spatial variability of soil CO2 emission in a sugarcane area characterized by secondary information

2013 ◽  
Vol 70 (3) ◽  
pp. 195-203 ◽  
Author(s):  
Daniel De Bortoli Teixeira ◽  
Elton da Silva Bicalho ◽  
Alan Rodrigo Panosso ◽  
Carlos Eduardo Pellegrino Cerri ◽  
Gener Tadeu Pereira ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Co2 Emission ◽  
Soil Co2 ◽  
Soil Co2 Emission ◽  
Secondary Information

scholarly journals SPATIAL VARIABILITY OF SOIL CO2 EMISSION IN SOYBEAN AND SUGARCANE AREAS IN MATO GROSSO DO SUL CERRADO, BRAZIL

2016 ◽  
Vol 2 (1) ◽  
pp. 45
Author(s):  
Maira Caroline Terçariol ◽  
Vivian Aparecida Brancaglioni ◽  
José Paulo Artêncio Júnior ◽  
Rafael Montanari ◽  
Marcelo Carvalho Minhoto Teixeira Filho ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Co2 Emission ◽  
Soil Co2 ◽  
Mato Grosso ◽  
Soil Co2 Emission ◽  
Mato Grosso Do Sul

Spatial variability structure of soil CO2 emission and soil attributes in a sugarcane area

2014 ◽  
Vol 189 ◽  
pp. 206-215 ◽  
Author(s):  
E.S. Bicalho ◽  
A.R. Panosso ◽  
D.D.B. Teixeira ◽  
J.G.V. Miranda ◽  
G.T. Pereira ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Co2 Emission ◽  
Soil Co2 ◽  
Soil Attributes ◽  
Soil Co2 Emission

scholarly journals Effect of Fungus-Growing Termite on Soil CO2 Emission at Termitaria Scale in Dry Evergreen Forest, Thailand

2021 ◽  
Vol 19 (6) ◽  
pp. 1-11
Author(s):  
Warin Boonriam ◽  
◽  
Pongthep Suwanwaree ◽  
Sasitorn Hasin ◽  
Phuvasa Chanonmuang ◽  
...  
Keyword(s):  
Soil Respiration ◽  
Co2 Emission ◽  
Evergreen Forest ◽  
Co2 Efflux ◽  
Soil Co2 ◽  
Termite Mounds ◽  
Soil Co2 Emission ◽  
Dry Evergreen Forest ◽  
The Mean ◽  
Macrotermes Carbonarius

Termites are one of the major contributors to high spatial variability in soil respiration. Although epigeal termite mounds are considered as a point of high CO2 effluxes, the patterns of mound CO2 effluxes are different, especially the mound of fungus-growing termites in a tropical forest. This study quantified the effects of a fungus-growing termite (Macrotermes carbonarius) associated with soil CO2 emission by considering their nesting pattern in dry evergreen forest, Thailand. A total of six mounds of M. carbonarius were measured for CO2 efflux rates on their mounds and surrounding soils in dry and wet seasons. Also, measurement points were investigated for the active underground passages at the top 10% of among efflux rates. The mean rate of CO2 emission from termitaria of M. carbonarius was 7.66 µmol CO2/m2/s, consisting of 2.94 and 9.11 µmol CO2/m2/s from their above mound and underground passages (the rate reached up to 50.00 µmol CO2/m2/s), respectively. While the CO2 emission rate from the surrounding soil alone was 6.86 µmol CO2/m2/s. The results showed that the termitaria of M. carbonarius contributed 8.4% to soil respiration at the termitaria scale. The study suggests that fungus-growing termites cause a local and strong variation in soil respiration through underground passages radiating out from the mounds in dry evergreen forest.

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.

Tree-scale spatial variability of soil carbon cycling in a mature oil palm plantation

Soil Research ◽  
2016 ◽  
Vol 54 (4) ◽  
pp. 397 ◽  
Author(s):  
Iain Goodrick ◽  
Paul N. Nelson ◽  
Steven Nake ◽  
Michael J. Webb ◽  
Michael I. Bird ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Soil Carbon ◽  
Oil Palm ◽  
Co2 Emission ◽  
Root Biomass ◽  
Carbon Fluxes ◽  
Accurate Estimate ◽  
Soil Co2 ◽  
Soil Co2 Emission ◽  
Oil Palm Plantation

Soil carbon fluxes are highly variable in space and time under tree crops such as oil palm, and attempts to model such fluxes must incorporate an understanding of this variability. In this work, we measured soil CO2 emission, root biomass and pruned frond deposition rates and calculated carbon fluxes into and out of the soil in a mature (20-year-old, second planting cycle) oil palm plantation in Papua New Guinea. Tree-scale spatial variability in CO2 emission and root biomass was quantified by making measurements on a 35-point trapezoid grid covering the 38.5-m2 repeating unit of the plantation (n = 4 grids). In order to obtain an overall mean soil CO2 emission rate within 5% of the most accurate estimate, ≥24 measurement points were required. Soil CO2 emissions were spatially correlated with calculated carbon inputs (r2 = 0.605, slope 1 : 1), but not with soil water content or temperature. However, outputs were higher than inputs at all locations, with a mean overall output of 7.24 µmol m–2 s–1 and input of 3.02 µmol m–2 s–1. Inputs related to fronds, roots and groundcover constituted 60%, 36% and 4% of estimated inputs, respectively. The spatial correlation of carbon inputs and outputs indicates that mineralisation rate is controlled mostly by the amount rather than the nature or input depth of the additions. The spatially uniform net carbon emission from soil may be due to inaccuracies in calculated fluxes (especially root-related inputs) or to non-biological emissions.

Effect of Savanna windrow wood burning on the spatial variability of soil properties

2021 ◽  
Vol 51 ◽  
Author(s):  
Diogo Neia Eberhardt ◽  
Robélio Leandro Marchão ◽  
Pedro Rodolfo Siqueira Vendrame ◽  
Marc Corbeels ◽  
Osvaldo Guedes Filho ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Spatial Variability ◽  
Spatial Dependence ◽  
Chemical Properties ◽  
Spatial Arrangement ◽  
Nugget Effect ◽  
Tropical Savannas ◽  
Geostatistical Methods ◽  
Exchangeable Ca ◽  
Spherical Models

ABSTRACT Tropical Savannas cover an area of approximately 1.9 billion hectares around the word and are subject to regular fires every 1 to 4 years. This study aimed to evaluate the influence of burning windrow wood from Cerrado (Brazilian Savanna) deforestation on the spatial variability of soil chemical properties, in the field. The data were analysed by using geostatistical methods. The semivariograms for pH(H2O), pH(CaCl2), Ca, Mg and K were calculated according to spherical models, whereas the phosphorus showed a nugget effect. The cross semi-variograms showed correlations between pH(H2O) and pH(CaCl2) with other variables with spatial dependence (exchangeable Ca and Mg and available K). The spatial variability maps for the pH(H2O), pH(CaCl2), Ca, Mg and K concentrations also showed similar patterns of spatial variability, indicating that burning the vegetation after deforestation caused a well-defined spatial arrangement. Even after 20 years of use with agriculture, the spatial distribution of pH(H2O), pH(CaCl2), Ca, Mg and available K was affected by the wood windrow burning that took place during the initial deforestation.

Organic mulching, irrigation and fertilization affect soil CO2 emission and C storage in tomato crop in the Mediterranean environment

2015 ◽  
Vol 152 ◽  
pp. 39-51 ◽  
Author(s):  
Roberto Mancinelli ◽  
Sara Marinari ◽  
Paola Brunetti ◽  
Emanuele Radicetti ◽  
Enio Campiglia
Keyword(s):  
Co2 Emission ◽  
Soil Co2 ◽  
Mediterranean Environment ◽  
Tomato Crop ◽  
Soil Co2 Emission ◽  
C Storage ◽  
The Mediterranean
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