首页> 外文期刊>Communications in Agricultural and Applied Biological Sciences >SOIL RESPIRATION IN FOREST ECOSYSTEMS: COMBINATION OF A MULTILAYER APPROACH AND AN ISOTOPIC SIGNAL ANALYSIS
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SOIL RESPIRATION IN FOREST ECOSYSTEMS: COMBINATION OF A MULTILAYER APPROACH AND AN ISOTOPIC SIGNAL ANALYSIS

机译:森林生态系统中的土壤呼吸:多层方法与同位素信号分析的结合

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摘要

One of the key questions in climate change research relates to the future dynamic of soil CO2 efflux (Fs). This efflux represents the most important CO_2 emission component of terrestrial ecosystems. However, it remains the largest source of uncertainty about carbon cycling within ecosystems because of the complexity of processes involved: multiple sources, manifold and variable driving factors (Moyes et al, 2010). Spatial and temporal variability of F_s are widely reported in the literature (Ekbladet al, 2005 ; Luo & Zhou, 2006). This variability results from variations in the intensity of biochemical and transport processes. This intensity is controlled by the climatic and edaphic conditions such as temperature, soil water content, substrate availability/quality, soil type etc. The variability is hampering spatial and temporal extrapolations required to estimate the Carbon balance at global scale. For now, most models developed to explain the observed variability are based on empirical approaches which do not identify the fundamental processes governing F_s. Therefore, such models cannot be used to describe climate change impact on F_s.
机译:气候变化研究中的关键问题之一是土壤CO2外排(Fs)的未来动态。这种流出代表了陆地生态系统最重要的CO_2排放成分。然而,由于所涉及的过程复杂:多种来源,多种多样的驱动因素(Moyes等,2010),它仍然是生态系统内碳循环不确定性的最大来源。 F_s的时空变化在文献中得到了广泛报道(Ekbladet等,2005; Luo&Zhou,2006)。这种变化是由于生化和运输过程强度的变化而引起的。该强度受气候和环境条件的控制,例如温度,土壤含水量,基质有效性/质量,土壤类型等。变异性妨碍了估计全球范围内碳平衡所需的空间和时间外推。目前,为解释观测到的变异性而开发的大多数模型都是基于经验方法的,这些方法无法确定控制F_s的基本过程。因此,这些模型不能用于描述气候变化对F_s的影响。

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