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 ◽  
...  

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.

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 ◽  
...  

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 ◽  
...  

2010 ◽  
Vol 30 (2) ◽  
pp. 224-231 ◽  
Author(s):  
Luis G Teixeira ◽  
Afonso Lopes ◽  
Newton La Scala Jr

To study Assessing the impact of tillage practices on soil carbon losses dependents it is necessary to describe the temporal variability of soil CO2 emission after tillage. It has been argued that large amounts of CO2 emitted after tillage may serve as an indicator for longer-term changes in soil carbon stocks. Here we present a two-step function model based on soil temperature and soil moisture including an exponential decay in time component that is efficient in fitting intermediate-term emission after disk plow followed by a leveling harrow (conventional), and chisel plow coupled with a roller for clod breaking (reduced) tillage. Emission after reduced tillage was described using a non-linear estimator with determination coefficient (R²) as high as 0.98. Results indicate that when emission after tillage is addressed it is important to consider an exponential decay in time in order to predict the impact of tillage in short-term emissions.


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 ◽  
...  

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 ◽  
...  

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.


Bragantia ◽  
2010 ◽  
Vol 69 (suppl) ◽  
pp. 19-27 ◽  
Author(s):  
Liziane de Figueiredo Brito ◽  
José Marques Júnior ◽  
Gener Tadeu Pereira ◽  
Newton La Scala Junior

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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