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欧洲森林硫和氮的临界负荷和目标负荷的不确定性:分析和量化。

Uncertainties in critical loads and target loads of sulphur and nitrogen for European forests: analysis and quantification.

机构信息

Alterra, Wageningen University and Research Centre (WUR), Wageningen, Netherlands.

出版信息

Sci Total Environ. 2010 Mar 15;408(8):1960-70. doi: 10.1016/j.scitotenv.2009.12.001. Epub 2010 Jan 6.

Abstract

An analysis of the uncertainties in critical loads and target loads of sulphur (S) and nitrogen (N) for 182 European forest soils was carried out using the Very Simple Dynamic (VSD) model. The VSD model was calibrated with a Bayesian approach using prior probability functions for model parameters based on literature data, data from 200 Dutch forest sites and from simulated denitrification rates from a detailed ecosystem model. The calibration strongly improved the fit of the model to observed soil and soil solution concentrations, especially for pH and base saturation. Calibration also narrowed down the ranges in input parameters. The uncertainty analysis showed which parameters contribute most to the uncertainty in the critical loads and target loads. Base cation weathering and deposition and the parameters describing the H-Al equilibrium in the soil solution determine the uncertainty in the maximum critical loads for S, CL(max)(S), when based on the aluminium to base cation (Al/Bc) criterion. Uncertainty in CL(max)(S) based on an acid neutralizing capacity (ANC) criterion is completely determined by base cation inputs alone. The denitrification fraction is the most important source of uncertainty for the maximum critical loads of N, CL(max)(N). N uptake and N immobilisation determine the uncertainties in the critical load for N as a nutrient, CL(nut)(N). Calibration of VSD reduced the uncertainty: the coefficient of variation (CV) was reduced for all critical loads and criteria. After calibration, the CV for CL(max)(S) was below 0.4 for almost all plots; however for CL(max)(N) high values occurred for plots with high denitrification rates. Model calibration also improved the robustness of target load estimates: after calibration, no target loads were needed in any of the simulations for 40% of the plots, with the uncalibrated model there was a positive probability for the need of a target load for almost all plots.

摘要

利用非常简单动态(VSD)模型对 182 个欧洲森林土壤的硫(S)和氮(N)临界负荷和目标负荷的不确定性进行了分析。VSD 模型使用基于文献数据、200 个荷兰森林站点数据和详细生态系统模型模拟反硝化速率的先验概率函数,通过贝叶斯方法进行了校准。校准大大提高了模型对观测到的土壤和土壤溶液浓度的拟合度,特别是对 pH 值和基础饱和度。校准还缩小了输入参数的范围。不确定性分析显示了哪些参数对临界负荷和目标负荷的不确定性贡献最大。基阳离子风化和沉积以及描述土壤溶液中 H-Al 平衡的参数决定了基于铝与基阳离子(Al/Bc)标准的 S 的最大临界负荷,CL(max)(S)的不确定性。基于酸中和能力(ANC)标准的 CL(max)(S)的不确定性完全由基阳离子输入决定。反硝化分数是 N 的最大临界负荷,CL(max)(N)的不确定性的最重要来源。N 吸收和 N 固定化决定了作为养分的 N 的临界负荷的不确定性,CL(nut)(N)。VSD 的校准降低了不确定性:所有临界负荷和标准的变异系数(CV)都降低了。校准后,几乎所有图的 CL(max)(S)的 CV 都低于 0.4;然而,对于反硝化速率较高的图,CL(max)(N)的值较高。模型校准还提高了目标负荷估计的稳健性:校准后,40%的模拟不需要任何一个图的目标负荷,而未经校准的模型几乎所有图都需要目标负荷的概率为正。

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