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

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.

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Spatial variability of soil CO2 emission in different topographic positions

Bragantia ◽

10.1590/s0006-87052010000500004 ◽

2010 ◽

Vol 69 (suppl) ◽

pp. 19-27 ◽

Cited By ~ 16

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.

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

Soil Research ◽

10.1071/sr15211 ◽

2016 ◽

Vol 54 (4) ◽

pp. 397 ◽

Cited By ~ 3

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.

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The Influence of Soil Use on the Intensity of Soil CO2 Emission in the Conditions of Moderately Arid and Forest-Outlier Steppe of the Altai Krai

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/670/1/012055 ◽

2021 ◽

Vol 670 (1) ◽

pp. 012055

Author(s):

G G Morkovkin ◽

A S Strebkova ◽

N B Maximova

Keyword(s):

Co2 Emission ◽

Soil Co2 ◽

Soil Co2 Emission

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Short-term precipitation pulses stimulate soil CO2 emission but do not alter CH4 and N2O fluxes in a northern hardwood forest

Soil Biology and Biochemistry ◽

10.1016/j.soilbio.2018.11.021 ◽

2019 ◽

Vol 130 ◽

pp. 8-11 ◽

Cited By ~ 6

Author(s):

Xiangyin Ni ◽

Shu Liao ◽

Fuzhong Wu ◽

Peter M. Groffman

Keyword(s):

Co2 Emission ◽

Hardwood Forest ◽

Northern Hardwood Forest ◽

Soil Co2 ◽

Short Term ◽

Northern Hardwood ◽

Soil Co2 Emission ◽

N2o Fluxes ◽

Ch4 And N2o ◽

Precipitation Pulses

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

Soil and Tillage Research ◽

10.1016/j.still.2015.04.001 ◽

2015 ◽

Vol 152 ◽

pp. 39-51 ◽

Cited By ~ 27

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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Modelling microbial kinetics and thermodynamic processes for quantifying soil CO2 emission

Atmospheric Environment ◽

10.1016/j.atmosenv.2019.04.014 ◽

2019 ◽

Vol 209 ◽

pp. 125-135 ◽

Cited By ~ 5

Author(s):

Soumendra N. Bhanja ◽

Junye Wang ◽

Narayan K. Shrestha ◽

Xiaokun Zhang

Keyword(s):

Co2 Emission ◽

Soil Co2 ◽

Microbial Kinetics ◽

Soil Co2 Emission ◽

Thermodynamic Processes ◽

Kinetics And Thermodynamic

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Effect of Nitrogen Fertilizer on Soil CO2 Emission Depends on Crop Rotation Strategy

Sustainability ◽

10.3390/su12135271 ◽

2020 ◽

Vol 12 (13) ◽

pp. 5271

Author(s):

Dejie Kong ◽

Nana Liu ◽

Chengjie Ren ◽

Huiying Li ◽

Weiyu Wang ◽

...

Keyword(s):

Crop Rotation ◽

Co2 Emission ◽

Management Practices ◽

N Fertilizer ◽

Emission Rates ◽

Fertilizer Management ◽

Soil Co2 ◽

Soil Co2 Emission ◽

The Impact ◽

Rotation Strategy

Developing environmentally friendly and sustainable nitrogen (N) fertilizer management strategies is crucial in mitigating carbon dioxide (CO2) emission from soil. How N fertilizer management practices influence soil CO2 emission rates under different crop rotations remains unclear. The aim of this study was to assess the impact on soil CO2 emission and soil physicochemical properties of three N fertilizer treatments including traditional rate (TF), optimized rate (0.8TF), and no fertilizer (NF) under three different crop rotation treatments: wheat-fallow (WF), wheat-soybean (WS), and wheat-maize (WM) over two years in a field experiment in northwest China. The rates were 5.51, 5.60, and 5.97 μmol·m−2·s−1 of mean soil CO2 emission under the TF, 0.8TF, and NF treatments, respectively. Mean soil CO2 emission rates were 21.33 and 26.99% higher under the WM rotation compared with the WF and WS rotations, respectively. The WS rotation showed higher soil nutrient content and lower soil CO2 emissions, and reduced fertilizer application. Importantly, soil organic carbon (SOC) concentration in the topsoil can be maximized by including either a summer legume or a summer maize crop in winter wheat rotations, and by applying N fertilizer at the optimal rate. This may be particularly beneficial in the dryland cropping systems of northern China.

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