Nonlinear modeling of carbon dynamics in soil treated with tannery sludge

IF 0.2 Q4 AGRONOMY
Maylon Leoncio da Silva, Edilson Marcelino Silva, Ariana Campos Frühauf, Joel Augusto Muniz, Tales Jesus Fernandes
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引用次数: 0

Abstract

In 2020, the Brazilian commercial cattle herd was the largest in the world, representing 14.3% of the worldwide herd, with201.7 million heads. Although this activity yields significant profits, contributing to the economic and social development ofBrazil, it has been the target of concerns, mainly due to the large production of waste/effluents associated to bovine leatherprocessing. In this scenario, mineralization is important because nutrients essential for plant growth are released duringthe process of organic waste decomposition, and the dynamics of carbon release can be described by nonlinear regressionmodels. Thus, this study aimed to model the mineralization of organic carbon in the soil for 6, 12, 24, and 36 megagramsdoses per hectare (Mg ha−1) of tannery sludge using the Stanford & Smith, Cabrera, and Juma nonlinear models. Very clayeysoil samples were used: eutroferric red nitosol (NVef). Mineralized carbon was measured in 21 observations over time untilthe 105th day of incubation. Parameters were estimated using the least squares method. Adjustments were compared usingthe corrected Akaike information criterion (AICc) and the adjusted coefficient of determination (R2aj) as selection criteria. The Cabrera model had the best adjustments for doses 6, 12, and 24 Mg ha−1 and Juma for dose 36 Mg ha−1, based on the selection criteria used. Although the Stanford & Smith model is the most widely used in the literature to model soil carbon dynamics, its use was not the most appropriate for any of the doses evaluated in this study. The higher the dose of tannerysludge, the greater the amount of potentially mineralizable carbon.
制革污泥处理土壤碳动力学的非线性建模
2020年,巴西的商业牛群是世界上最大的,占世界牛群的14.3%,有20170万头。虽然这一活动产生了巨大的利润,促进了巴西的经济和社会发展,但它一直是关注的对象,主要是由于与牛皮革加工有关的大量废物/废水的产生。在这种情况下,矿化是重要的,因为植物生长所需的营养物质在有机废物分解过程中释放出来,而碳释放的动态可以用非线性回归模型来描述。因此,本研究旨在模拟每公顷(Mg ha−1)制革厂污泥6、12、24和36毫克剂量下土壤中有机碳的矿化。Smith, Cabrera和Juma的非线性模型。采用粘性很强的土壤样品:富铁红硝土(NVef)。矿化碳在21次观察中测量,直到孵化第105天。采用最小二乘法对参数进行估计。采用修正后的赤池信息准则(AICc)和修正后的决定系数(R2aj)作为选择标准进行比较。根据所采用的选择标准,Cabrera模型对剂量6、12和24 Mg ha−1的调整效果最好,而Juma模型对剂量36 Mg ha−1的调整效果最好。尽管斯坦福大学&Smith模型是文献中应用最广泛的土壤碳动态模型,但对于本研究评估的任何剂量,Smith模型的使用都不是最合适的。制革污泥的剂量越高,潜在矿化碳的数量就越多。
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来源期刊
自引率
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发文量
30
审稿时长
53 weeks
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