2016
DOI: 10.1071/sr15211
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Tree-scale spatial variability of soil carbon cycling in a mature oil palm plantation

Abstract: 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 measureme… Show more

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Cited by 8 publications
(7 citation statements)
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“…These management practises lead to characteristic management zones with specific factors affecting SOC dynamics ( Figure 1a). With plantation ageing, the heterogeneity of SOC distribution increases, depending on the distance to the tree, the presence of frond piles, and fertilizer applications (Frazão, Paustian, Pellegrino Cerri, & Cerri, 2013;Goodrick et al, 2015). Carbon and nutrients cycling are, thus, highly heterogeneous, leading to a variable SOC equilibrium depending on management practices.…”
Section: Introductionmentioning
confidence: 99%
“…These management practises lead to characteristic management zones with specific factors affecting SOC dynamics ( Figure 1a). With plantation ageing, the heterogeneity of SOC distribution increases, depending on the distance to the tree, the presence of frond piles, and fertilizer applications (Frazão, Paustian, Pellegrino Cerri, & Cerri, 2013;Goodrick et al, 2015). Carbon and nutrients cycling are, thus, highly heterogeneous, leading to a variable SOC equilibrium depending on management practices.…”
Section: Introductionmentioning
confidence: 99%
“…Temporal variability in carbon and nitrogen cycling processes is mostly related to the large input of organic matter at the end of the cycle and presence of legume cover crop at the start of the cycle. Spatial variability is largely due to placement of pruned fronds into concentrated stacks, root distribution, weeding and placement of mill by-products (Haron et al, 1998;Nelson et al, 2014;Carron et al, 2016;Goodrick et al, 2016).…”
Section: Carbon Modelsmentioning
confidence: 99%
“…Fine-scale spatial differences in soil properties are common in OP plantations due to the distribution of litter and other crop residue inputs as well as fertilizer within plantations (Nelson et al, 2014;Rüegg et al, 2019). This non-random distribution of nutrient resources within plantations should be considered when assessments of soil properties and processes are attempted (Goodrick et al, 2016;Nelson et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Fine‐scale spatial differences in soil properties are common in OP plantations due to the distribution of litter and other crop residue inputs as well as fertilizer within plantations (Nelson et al, 2014 ; Rüegg et al, 2019 ). This non‐random distribution of nutrient resources within plantations should be considered when assessments of soil properties and processes are attempted (Goodrick et al, 2016 ; Nelson et al, 2015 ). With time, the addition of carbon and nutrient crop residue inputs as well as fertilizers in certain areas of the plantation creates management zones that become visually recognizable in mature plantations of around 6–8 years.…”
Section: Introductionmentioning
confidence: 99%