Naoya Takeda, David Rowlings, William Parton, Liam Grace, Kenneth Day, Trung Nguyen, Peter Grace
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The model was then validated with cumulative net ecosystem exchange, biomass, and SOC, resulting in root mean square errors of 1.16, 0.88, and 2.81 Mg C ha<sup>−1</sup>, respectively. The model was used to project long-term changes in SOC stocks under innovative management practices (time-controlled grazing and pasture legume incorporation), estimating soil C sequestration by 0.37–0.48 and 0.15–0.26 Mg C ha<sup>−1</sup> year<sup>−1</sup> toward 2050 with the respective practices. This study confirms the validity of the Measure, Model, and Verification (MMV) approach to estimate and project soil C sequestration for evaluating SOC methodologies by grassland management within a shorter period than soil sampling—measuring the baseline SOC, modeling the C dynamics with the calibrated DayCent-CABBI, and verifying the projected soil C sequestration with EC flux tower data.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":"89 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.70003","citationCount":"0","resultStr":"{\"title\":\"Soil carbon sequestration potential in subtropical grasslands estimated by DayCent-CABBI\",\"authors\":\"Naoya Takeda, David Rowlings, William Parton, Liam Grace, Kenneth Day, Trung Nguyen, Peter Grace\",\"doi\":\"10.1002/saj2.70003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Soil carbon (C) sequestration by restoring degraded grasslands with adequate management practices offers significant opportunities for climate change mitigation while remaining highly uncertain. 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引用次数: 0
摘要
通过适当的管理措施恢复退化的草原来固存土壤碳(C),为减缓气候变化提供了重要机会,但仍存在高度不确定性。采用生物地球化学模型daycenter - cabbi和涡动相关通量塔(EC)相结合的方法,评价了亚热带草原不同管理策略在0 ~ 0.3 m深度的土壤固碳潜力。DayCent-CABBI在澳大利亚东北部的草原上进行了校准,使用了长期试验的生物量和土壤有机碳(SOC)数据,然后使用该地区7个地点的EC通量塔数据进行了微调。利用累积净生态系统交换量、生物量和有机碳对模型进行验证,得到的均方根误差分别为1.16、0.88和2.81 Mg C ha−1。利用该模型预测了创新管理措施(时间控制放牧和豆科牧草种植)下土壤有机碳储量的长期变化,估计到2050年,在各自的管理措施下,土壤碳固存量分别为0.37-0.48 Mg C /年和0.15-0.26 Mg C /年。该研究证实了测量、模型和验证(MMV)方法的有效性,该方法可以在较短的时间内估算和预测土壤碳封存,用于评估草地管理的碳含量方法——测量基线碳含量,使用校准的daycenter - cabbi建模碳动态,并使用EC通量塔数据验证预测的土壤碳封存。
Soil carbon sequestration potential in subtropical grasslands estimated by DayCent-CABBI
Soil carbon (C) sequestration by restoring degraded grasslands with adequate management practices offers significant opportunities for climate change mitigation while remaining highly uncertain. In this study, a combination of a biogeochemical model DayCent-CABBI and eddy covariance (EC) flux towers was applied to evaluate soil C sequestration potential (at a depth of 0–0.3 m) of management strategies in subtropical grasslands. DayCent-CABBI was calibrated for grasslands in northeast Australia using biomass and soil organic carbon (SOC) data from a long-term trial and then fine-tuned using EC flux tower data from seven sites in the region. The model was then validated with cumulative net ecosystem exchange, biomass, and SOC, resulting in root mean square errors of 1.16, 0.88, and 2.81 Mg C ha−1, respectively. The model was used to project long-term changes in SOC stocks under innovative management practices (time-controlled grazing and pasture legume incorporation), estimating soil C sequestration by 0.37–0.48 and 0.15–0.26 Mg C ha−1 year−1 toward 2050 with the respective practices. This study confirms the validity of the Measure, Model, and Verification (MMV) approach to estimate and project soil C sequestration for evaluating SOC methodologies by grassland management within a shorter period than soil sampling—measuring the baseline SOC, modeling the C dynamics with the calibrated DayCent-CABBI, and verifying the projected soil C sequestration with EC flux tower data.