College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, Key Laboratory of Plant-Soil Interactions, Ministry of Education, China Agricultural University, 100193 Beijing, China.
Sustainable Agriculture Sciences, North Wyke - Rothamsted Research, EX20 2SB, UK.
Sci Total Environ. 2020 Apr 15;713:136249. doi: 10.1016/j.scitotenv.2019.136249. Epub 2019 Dec 26.
Liming is widely used to reduce the impacts of soil acidification and optimize soil pH for agricultural production. Whether models can simulate the effect of liming on soil pH, and base saturation (BS), and thereby guide lime application, is still largely unknown. Long-term experimental data from a grassland (Park Grass, 1965-2012) and arable land (Sawyers Field, 1962-1972) at Rothamsted Research, UK, were thus used to assess the ability of the VSD+ model to simulate the effects of long-term fertilization and liming on soil acidification. The VSD+ model was capable of simulating observed soil pH and BS changes over time in the long-term liming experiments, except for a treatment in which sulphur (S) was added. Normalized Mean Absolute Errors (NMAE) and Normalized Root Mean Square Errors (NRMSE) of simulated and observed pH values, averaged over the observation periods varied between 0.02 and 0.08 (NMAE) and 0.01-0.05 (NRMSE). The acidity budget results for Park Grass suggest that nitrogen (N) transformations contributed most to acidity production, causing predominantly aluminium (Al) exchange in the topsoil (0-23 cm) followed by base cation (BC) release, but in the treatment with S addition, BC uptake had a nearly similar effect on acidity production. However, in Sawyers Field, the acidity budget suggested that BC uptake was the dominant cause of soil acidification, while the impacts of N transformations were limited. Liming was found to sufficiently replenish BC and decrease Al exchange in the topsoil layer. Overall, the VSD+ model can adequately reconstruct the impacts of fertilizer and liming applications on acid neutralizing processes and related soil pH and BC changes at the soil exchange complex.
石灰被广泛用于降低土壤酸化的影响,并优化土壤 pH 值,以促进农业生产。模型是否能够模拟石灰对土壤 pH 值和碱饱和度(BS)的影响,从而指导石灰的施用,目前还知之甚少。本研究利用英国洛桑试验站(Rothamsted Research)草地(Park Grass,1965-2012 年)和耕地(Sawyers Field,1962-1972 年)长期试验数据,评估了 VSD+模型模拟长期施肥和施石灰对土壤酸化影响的能力。VSD+模型能够模拟长期施石灰试验中观测到的土壤 pH 值和 BS 随时间的变化,但添加硫(S)的处理除外。模拟和观测 pH 值的归一化平均绝对误差(NMAE)和归一化均方根误差(NRMSE)在观测期内平均在 0.02-0.08(NMAE)和 0.01-0.05(NRMSE)之间。Park Grass 的酸度预算结果表明,氮(N)转化对酸度生成的贡献最大,主要导致表土(0-23 cm)中铝(Al)交换,随后是碱阳离子(BC)释放,但在添加 S 的处理中,BC 吸收对酸度生成具有几乎相似的影响。然而,在 Sawyers Field,酸度预算表明,BC 吸收是土壤酸化的主要原因,而 N 转化的影响有限。施石灰被发现足以补充 BC,并减少表土层的 Al 交换。总的来说,VSD+模型可以充分重建肥料和石灰施用对中和过程以及相关土壤 pH 值和 BC 变化的影响,这些影响与土壤交换复合体有关。