Abstract

Abstract. Future potentials of the sequestration of soil organic carbon (SOC) in agricultural lands in Japan were estimated using a simulation system we recently developed to simulate SOC stock change at country-scale under varying land-use change, climate, soil, and agricultural practices, in a spatially explicit manner. Simulation was run from 1970 to 2006 with historical inventories, and subsequently to 2020 with future scenarios of agricultural activity comprised of various agricultural policy targets advocated by the Japanese government. Furthermore, the simulation was run subsequently until 2100 while forcing no temporal changes in land-use and agricultural activity to investigate duration and course of SOC stock change at country scale. A scenario with an increased rate of organic carbon input to agricultural fields by intensified crop rotation in combination with the suppression of conversion of agricultural lands to other land-use types was found to have a greater reduction of CO2 emission by enhanced soil carbon sequestration, but only under a circumstance in which the converted agricultural lands will become settlements that were considered to have a relatively lower rate of organic carbon input. The size of relative reduction of CO2 emission in this scenario was comparable to that in another contrasting scenario (business-as-usual scenario of agricultural activity) in which a relatively lower rate of organic matter input to agricultural fields was assumed in combination with an increased rate of conversion of the agricultural fields to unmanaged grasslands through abandonment. Our simulation experiment clearly demonstrated that net-net-based accounting on SOC stock change, defined as the differences between the emissions and removals during the commitment period and the emissions and removals during a previous period (base year or base period of Kyoto Protocol), can be largely influenced by variations in future climate. Whereas baseline-based accounting, defined as differences between the net emissions in the accounting period and the ex ante estimation of net business-as-usual emissions for the same period, has robustness over variations in future climate and effectiveness to factor out some of the direct human-induced effects such as changing land-use and agricultural activity. Factors affecting uncertainties in the estimation of the country-scale potential of SOC sequestration were discussed, especially those related to estimation of the rate of organic carbon input to soils under different land-use types. Our study suggested that, in order to assist decision making of policy on agriculture, land management, and mitigation of global climate change, it is also important to take account of duration and time course of SOC sequestration, supposition on land-use change pattern in future, as well as feasibility of agricultural policy planning.

Highlights

  • Sequestration of soil organic carbon (SOC) in soils in agricultural usages has been suggested to have large potentials to contribute to mitigate global climate change (Lal, 2004; Smith et al, 2008) with relatively low abatement cost (Smith et al, 2008)

  • A current framework of international agreement to combat against global climate change had already decided to allow a member of the party, or a nation, to include reduction of carbon dioxide (CO2) emission due to SOC stock change in croplands and grazing lands in their accounting on the emission of greenhouse gases (GHGs) for which reduction obligation is placed, as defined in Article 3.4 of Kyoto Protocol (KP) under United Nations Framework Convention on Climate Change (UNFCCC) (United Nations Framework Convention on Climate Change, 1998)

  • Whereas in Ministry of Agriculture Fishery and Forestry (MAFF)-BP, 60 000 ha and 55 000 ha of upland crop fields were converted to paddy fields and managed grasslands, respectively, from 2007 to 2020

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Summary

Introduction

Sequestration of soil organic carbon (SOC) in soils in agricultural usages has been suggested to have large potentials to contribute to mitigate global climate change (Lal, 2004; Smith et al, 2008) with relatively low abatement cost (Smith et al, 2008). Previous studies have demonstrated that application of currently available process-based models of SOC turn-over is an effective approach to estimate temporal changes in SOC stock over several decades or centuries (Jenkinson et al, 1990; Kelly et al, 1997; McGill, 1996; Shirato and Yokozawa, 2005; Shirato et al, 2004; Skjemstad et al, 2004) In many of those studies, validation of the model was conducted based on observed changes in SOC stock in long-term field experiments, in which the rate of organic matter application to soils or soil initial conditions, key parameters determining SOC stock change, have had been known or well identified. Findings from many of those long-term experiments at plot-scale were based on a certain land-use type, and may not be suitable to extend directory to a large geographical entity experiencing various types of land-use change

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