Abstract

The aim of this study was to validate the ROMUL and Romul_Hum simulation models based on the data of long-term measurements of soil respiration performed by the Institute of Physicochemical and Biological Problems in Soil Sciences of the Russian Academy of Sciences in the south of Moscow oblast (54°50′ N, 37°34′ E). We estimated the dynamics of carbon stocks and soil CO₂ emission for three scenarios of plant litterfall compiled with the account of experimental data on the composition and mass of litterfall entering the gray forest soil (Albic Luvisol) under secondary deciduous forest. The calculations of long-term series of temperature and moisture content in the forest litter and upper organo-mineral soil horizons in simulation experiments are based on the real data on air temperature and precipitation for 1973–2016. The correspondence of simulation results to the data of field measurements was better for the Romul_Hum model, which comprises a description of the effects related to the vital activity of soil fauna, leading to the formation of different fractions of soil organic matter. The best correspondence of simulated values of CO₂ emission, carbon stocks, and the C : N ratios in gray forest soil horizons to field data was for the litter scenarios, which excluded the fraction of small branches. The revealed differences between the simulated and real values of soil parameters are explained by specific features of the input and transformation of different litterfall fractions, which are not always taken into account during soil sampling. The results of the study attract the attention to the uncertainties of estimates of carbon budget in forest ecosystems due to the difficulties of accounting both large wood residues (dead tree and coarse branches debris) and smaller wood fractions in the litterfall.

中文翻译：

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数学模型ROMUL和Romul_Hum在估算莫斯科州南部落叶林下的白色落叶松露中CO 2排放和有机质动态中的应用

摘要

这项研究的目的是基于莫斯科州南部俄罗斯科学院土壤科学研究所的物理化学和生物问题研究所对土壤呼吸的长期测量数据，验证ROMUL和Romul_Hum模拟模型（54°50'N，37°34'E）。我们估算了碳储量和土壤CO ₂的动力学在关于次生落叶林下进入灰色森林土壤（Albic Luvisol）的凋落物的组成和质量的实验数据的基础上，编制了三种植物凋落物排放的排放量。在模拟实验中，对森林凋落物和有机矿物上部土壤层中温度和水分含量的长期序列的计算是基于1973-2016年气温和降水的真实数据。对于Romul_Hum模型，模拟结果与现场测量数据的对应关系更好，该模型包括对与土壤动物生命活动相关的影响的描述，导致形成不同比例的土壤有机质。CO ₂模拟值的最佳对应排放量，碳储量和灰色森林土壤视野中的C：N比与田间数据均适用于凋落物情景，其中不包括小树枝部分。土壤参数的模拟值与实际值之间揭示的差异是由不同凋落物组分的输入和转化的特定特征所解释的，在土壤采样过程中并不总是将其考虑在内。研究结果引起了人们对森林生态系统碳收支估算的不确定性的关注，这是由于难以计算大量的木材残留物（枯死的树木和粗枝状的碎片）和凋落物中较小的木材碎片。