Soil organic carbon stock for carbon credit in smallholder farms

IF 1.3 Q3 AGRONOMY
Toru Nakajima, Fune Mizumoto, Mei Akiyama, Carla Gavilan, Rattan Lal
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Abstract

Soil carbon (C) credits provide monetary incentives to farmers who are motivated to improve soil organic carbon (SOC) stock through agricultural practices such as no-tillage system, cover cropping, and complex crop rotation as a mitigation and adaptation strategy for climate change. Several major challenges associated with measuring SOC stock for C credit protocol include a high cost and variability. Thus, this study was aimed at characterizing the variability of bulk density (BD), SOC concentration, and stock at an on-farm operation site under small and aggregated farms to suggest feasible soil sampling methods for SOC stock. In addition, 80% of the farmland is managed by smallholders who work on less than 1–10 ha and provide up to a large proportion of the food supply in Asia and sub-Saharan Africa. Therefore, evaluating SOC stock, including variability under small and aggregated farms, is critically important. The objective of this study was to characterize the variability of soil parameters, such as BD, SOC concentration, and SOC stock, at an on-farm operation site to suggest feasible soil sampling methods for assessing the SOC stock. The results show that the SOC stock variability (coefficient of variance; ranged from 6.9% to 21.2%) strongly affected BD and SOC concentration. The number of required samples could be minimized with acceptable uncertainty levels, and it was estimated that six samples are needed to achieve an error of 20% (110 ± 22 Mg ha−1).

Abstract Image

小农农场的土壤有机碳储量用于碳信用
土壤碳(C)信用为有动力通过免耕制度、覆盖种植和复杂的作物轮作等农业实践来改善土壤有机碳(SOC)储量的农民提供金钱激励,作为减缓和适应气候变化的战略。与C信用协议测量SOC库存相关的几个主要挑战包括高成本和可变性。因此,本研究的目的是在小型农场和集团化农场的农场经营现场,表征散体密度(BD)、有机碳浓度和储量的变化,以提出可行的土壤有机碳储量采样方法。此外,在亚洲和撒哈拉以南非洲,80%的农田由面积不到1-10公顷的小农经营,并提供了很大一部分粮食供应。因此,评估有机碳储量,包括小型和集群式农场的变化,是至关重要的。本研究的目的是表征土壤参数的变异性,如BD、有机碳浓度和有机碳储量,在农场经营现场,建议可行的土壤采样方法来评估有机碳储量。结果表明:土壤有机碳储量变异系数(方差系数;范围为6.9% ~ 21.2%)强烈影响BD和SOC浓度。所需样品的数量可以在可接受的不确定度水平下最小化,估计需要6个样品才能达到20%的误差(110±22 Mg ha−1)。
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来源期刊
Agrosystems, Geosciences & Environment
Agrosystems, Geosciences & Environment Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
2.60
自引率
0.00%
发文量
80
审稿时长
24 weeks
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