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Modelling the transformations and sequestration of soil organic matter in two contrasting ecosystems of the Andes

机译:模拟安第斯山脉两个不同生态系统中土壤有机质的转化和固存

摘要

The mechanisms linking soil respiration to climate and soil physical properties are important for modelling transformation and sequestration of C and N in the soil. We investigated them by incubating 14C and 15N labelled straw in soils of the dry puna (Bolivian altiplano, semi-arid shrubland at 3789 m above sea level) and the humid paramo (Venezuelan tropical alpine vegetation at 3400 m). These two ecosystems of the high Andes are comparable in terms of altitude, mean temperature and land use, but are very different regarding organic matter content, rainfall patterns and soil physical properties. Total 14C and 15N, microbial-biomass 14C and 15N, soil moisture and meteorological data were recorded over 2 years. Daily soil moisture was predicted from a water balance model. The data from the paramo site were used to calibrate MOMOS-6, a model of organic matter decomposition based on microbial activity and requiring only kinetic constant parameters to describe: (i) inputs to microbial biomass from plant debris and microbial metabolites, and (ii) losses from the biomass by mortality and respiration (respiration coefficient and microbial metabolic quotient qCO2). The simulated qCO2–14C agrees well with qCO2–14C and qCO2 measured at the calibration site and with published data. To apply MOMOS-6 to the puna site, only the respiration coefficient of the biomass was re-estimated. The dynamics of 14C and 15N were very different in the two systems. In the puna, the transformation processes stop during the long dry periods, though total annual mineralization is greater than in the paramo. The change in the value of the respiration coefficient enables us to predict that the amount of C and N sequestered in the stable humus is greater in the paramo than in the puna. The data in this paper can be used to estimate values of the respiration coefficient so that MOMOS-6 can be applied to other systems.
机译:将土壤呼吸作用与气候和土壤物理特性联系起来的机制对于模拟土壤中碳和氮的转化和固存至关重要。我们通过将14C和15N标记的稻草在干燥的大熊猫(玻利维亚高原,半干旱灌木丛,海拔3789 m)和潮湿的湿地(委内瑞拉热带高山植被,海拔3400 m)的土壤中孵育来进行调查。高安第斯山脉的这两个生态系统在海拔,平均温度和土地利用方面具有可比性,但是在有机物含量,降雨模式和土壤物理特性方面却有很大差异。记录了两年内的总14 C和15 N,微生物生物量14 C和15 N,土壤湿度和气象数据。从水平衡模型预测每日土壤水分。来自paramo站点的数据用于校准MOMOS-6,MOMOS-6是一种基于微生物活性并且仅需要动力学常数参数即可描述以下内容的有机物分解模型:(i)来自植物碎片和微生物代谢产物的微生物生物量输入,以及(ii )因死亡率和呼吸作用(呼吸系数和微生物代谢商qCO2)而从生物质中损失。模拟的qCO2–14C与在校准地点测量的qCO2–14C和qCO2以及公布的数据非常吻合。为了将MOMOS-6应用于大熊猫部位,仅重新估算了生物质的呼吸系数。在两个系统中,14C和15N的动力学差异很大。在大熊猫中,尽管长期的总矿化量大于抽烟者,但在漫长的干旱时期,转化过程就停止了。呼吸系数值的变化使我们能够预测,在稳定的腐殖质中螯合的C和N的数量在准腐殖质中比在大熊猫中更大。本文中的数据可用于估计呼吸系数的值,以便MOMOS-6可以应用于其他系统。

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