Abstract

Current carbon accounting methodologies often assume interactions between above-ground and below-ground carbon, without considering effects of land management. We used data from two long-term coffee agroforestry experiments in Costa Rica and Nicaragua to assess the effect on total soil organic carbon (SOC) stocks of (i) organic versus conventional management, (ii) higher versus moderate agronomic inputs, (iii) tree shade types. During the first nine years of coffee establishment total 0–40cm depth SOC stocks decreased by 12.4% in Costa Rica and 0.13% in Nicaragua. Change in SOC differed consistently amongst soil layers: at 0–10cm SOC stocks increased by 2.14 and 1.26MgCha−1 in Costa Rica and Nicaragua respectively; however much greater reduction occurred at 20–40cm (9.65 and 2.85MgCha−1 respectively). Organic management caused a greater increase in 0–10cm SOC but did not influence its reduction at depth. Effects of shade type were smaller, though heavily pruned legume shade trees produced a greater increase in 0–10cm SOC than unpruned timber trees. No significant differences in SOC stocks were found between shaded and unshaded systems at any depth and SOC was poorly correlated with above-ground biomass stocks highlighting poor validity of “expansion factors” currently used to estimate SOC. SOC stock changes were significantly negatively correlated with initial SOC stock per plot, providing evidence that during establishment of these woody-plant-dominated agricultural systems SOC stocks tend to converge towards a new equilibrium as a function of the change in the quantity and distribution of organic inputs. Therefore it cannot be assumed that tree-based agricultural systems necessarily lead to increases in soil C stocks. While high inputs of organic fertiliser/tree pruning mulch increased surface-layer SOC stocks, this did not affect stocks in deeper soil, where decreases generally exceeded any gains in surface soil. Therefore site- and system-specific sampling is essential to draw meaningful conclusions for climate change mitigation strategies.

Highlights

  • Soils are the greatest terrestrial C stock and hold an estimated 1462–1548 Pg of organic C to 1 m depth (Batjes, 1996)

  • The best fitting mixed effects model for predicting changes in total soil organic carbon (SOC) stocks for both the experiment in Costa Rica and that in Nicaragua is based on subplot treatments, depths, and the initial C content as fixed effects with random slope effects of the replicate blocks and of main-plot treatments nested within the replicate blocks, for Nicaragua a model based on main-plot treatments instead of subplot treatments was as good (AIC = 326.3)

  • When the mixed effects model is restricted to the 0–10 cm soil layer, the results for the best fitting models in both Costa Rica and Nicaragua include the coffee management treatments and the initial C concentration as fixed effects with random slope effects of the replicate blocks and of main-plot treatments nested within the replicate blocks; AICs were 18.2 and 97.7 respectively

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Summary

Introduction

Soils are the greatest terrestrial C stock and hold an estimated 1462–1548 Pg of organic C to 1 m depth (Batjes, 1996). Identifying how different agricultural management practices or changes in land-use create SOC sinks (accumulating additional C), act as C sources (emitting C) or maintain stocks at current levels is imperative in identifying effective strategies for land-based climate change mitigation. Agriculture that is established on land depleted in SOC will have potential to sequester C Some practices such as addition of organic matter that may increase SOC can increase N2O emissions. Assessment of how best to achieve climate change mitigation through agriculture needs to consider both short-term changes in GHG emissions from soil and longerterm changes in SOC stocks (Lal, 2004; Smith et al, 2008).

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