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首页> 外文期刊>Plant and Soil >Model for rhizodeposition and CO2 efflux from planted soil and its validation by 14C pulse labelling of ryegrass
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Model for rhizodeposition and CO2 efflux from planted soil and its validation by 14C pulse labelling of ryegrass

机译:种植土壤中的根际沉积和CO2 外排模型及其通过黑麦草的14 C脉冲标记验证

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摘要

A model for rhizodeposition and root respiration was developed and parameterised based on 14C pulse labelling of Lolium perenne. The plants were grown in a two-compartment chamber on a loamy Haplic Luvisol under controlled laboratory conditions. The dynamics of 14CO2 efflux from the soil and 14C content in shoots, roots, micro-organisms, dissolved organic carbon (DOC) and soil were measured during the first 11 days after labelling. Modelled parameters were estimated by fitting on measured 14C dynamics in the different pools. The model and the measured 14C dynamics in all pools corresponded well (r 2=0.977). The model describes well 14CO2 efflux from the soil and 14C dynamics in shoots, roots and soil, but predicts unsatisfactorily the 14C content in micro-organisms and DOC. The model also allows for division of the total 14CO2 efflux from the soil in 14CO2 derived from root respiration and 14CO2 derived from rhizomicrobial respiration by use of exudates and root residues. Root respiration and rhizomicrobial respiration amounted for 7.6% and 6.0% of total assimilated C, respectively, which accounts for 56% and 44% of root-derived 14CO2 efflux from the soil planted with 43-day-old Lolium perenne, respectively. The sensitivity analysis has shown that root respiration rate affected the curve of 14CO2 efflux from the soil mainly during the first day after labelling. The changes in the exudation rate influenced the 14CO2 efflux later than first 24 h after labelling.
机译:基于多年生黑麦草的14 C脉冲标记,建立了根茎沉积和根部呼吸的模型并进行了参数化。使植物在受控实验室条件下在肥沃的Haplic Luvisol的两室室内生长。在土壤的第一个11天后,测量了土壤中14 CO2 的外流动力学和枝条,根,微生物,可溶性有机碳(DOC)和土壤中14 C的含量标签。通过拟合在不同池中测得的14 C动态估算模型参数。该模型与在所有池中测得的14 C动力学都很好地吻合(r 2 = 0.977)。该模型很好地描述了土壤中14 CO2 的外流以及枝,根和土壤中14 的动态,但是对微生物和DOC中14 C含量的预测却不尽人意。 。该模型还允许将土壤中总的14 CO2 外排分配到根呼吸中的14 CO2 和14 CO2 中分泌物和根部残留物从根状微生物呼吸中吸收。根呼吸和根际微生物呼吸分别占总吸收C的7.6%和6.0%,分别占种植43天的土壤中根源14 CO2 外排的56%和44%。老黑麦草perenne。敏感性分析表明,根系呼吸速率主要影响标记后第一天土壤中14 CO 2流出的曲线。标记后24小时内,渗出速率的变化影响了14 CO2 的流出。

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