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估算热带土壤的石灰需求量:模型比较与开发

Estimating lime requirements for tropical soils: Model comparison and development.

作者信息

Aramburu Merlos Fernando, Silva João Vasco, Baudron Frédéric, Hijmans Robert J

机构信息

Department of Environmental Science and Policy, University of California Davis, Davis, CA, United States.

Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible (IPADS) Balcarce (INTA-CONICET), Balcarce, Buenos Aires, Argentina.

出版信息

Geoderma. 2023 Apr;432:116421. doi: 10.1016/j.geoderma.2023.116421.

Abstract

Acid tropical soils may become more productive when treated with agricultural lime, but optimal lime rates have yet to be determined in many tropical regions. In these regions, lime rates can be estimated with lime requirement models based on widely available soil data. We reviewed seven of these models and introduced a new model (LiTAS). We evaluated the models' ability to predict the amount of lime needed to reach a target change in soil chemical properties with data from four soil incubation studies covering 31 soil types. Two foundational models, one targeting acidity saturation and the other targeting base saturation, were more accurate than the five models that were derived from them, while the LiTAS model was the most accurate. The models were used to estimate lime requirements for 303 African soil samples. We found large differences in the estimated lime rates depending on the target soil chemical property of the model. Therefore, an important first step in formulating liming recommendations is to clearly identify the soil property of interest and the target value that needs to be reached. While the LiTAS model can be useful for strategic research, more information on acidity-related problems other than aluminum toxicity is needed to comprehensively assess the benefits of liming.

摘要

酸性热带土壤在用农用石灰处理后可能会提高生产力,但在许多热带地区,最佳石灰施用量尚未确定。在这些地区,可以根据广泛可得的土壤数据,利用石灰需求量模型来估算石灰施用量。我们回顾了其中七个模型,并引入了一个新模型(LiTAS)。我们利用来自四项涵盖31种土壤类型的土壤培养研究的数据,评估了这些模型预测达到土壤化学性质目标变化所需石灰量的能力。两个基础模型,一个针对酸度饱和度,另一个针对碱饱和度,比从它们衍生出的五个模型更准确,而LiTAS模型是最准确的。这些模型被用于估算303个非洲土壤样本的石灰需求量。我们发现,根据模型的目标土壤化学性质,估算的石灰施用量存在很大差异。因此,制定石灰施用建议的一个重要的第一步是明确确定感兴趣的土壤性质和需要达到的目标值。虽然LiTAS模型对战略研究可能有用,但需要更多关于除铝毒性之外的与酸度相关问题的信息,以全面评估施用石灰的益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7507/10033874/caedae25bf68/gr1.jpg

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