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Ecosystem carbon transit versus turnover times in response to climate warming and rising atmospheric CO2 concentration

机译:生态系统碳传输与营业额相比,响应气候变暖和富有大气二氧化碳浓度上升

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Ecosystem carbon (C) transit time is a critical diagnostic parameter to characterize land C sequestration. This parameter has different variants in the literature, including a commonly used turnover time. However, we know little about how different transit time and turnover time are in representing carbon cycling through multiple compartments under a non-steady state. In this study, we estimate both C turnover time as defined by the conventional stock over flux and mean C transit time as defined by the mean age of C mass leaving the system. We incorporate them into the Community Atmosphere Biosphere Land Exchange (CABLE) model to estimate C turnover time and transit time in response to climate warming and rising atmospheric [CO2]. Modelling analysis shows that both C turnover time and transit time increase with climate warming but decrease with rising atmospheric [CO2]. Warming increases C turnover time by 2.4?years and transit time by 11.8?years in 2100 relative to that at steady state in 1901. During the same period, rising atmospheric [CO2] decreases C turnover time by 3.8?years and transit time by 5.5?years. Our analysis shows that 65% of the increase in global mean C transit time with climate warming results from the depletion of fast-turnover C pool. The remaining 35% increase results from accompanied changes in compartment C age structures. Similarly, the decrease in mean C transit time with rising atmospheric [CO2] results approximately equally from replenishment of C into fast-turnover C pool and subsequent decrease in compartment C age structure. Greatly different from the transit time, the turnover time, which does not account for changes in either C age structure or composition of respired C, underestimated impacts of warming and rising atmospheric [CO2] on C diagnostic time and potentially led to deviations in estimating land C sequestration in multi-compartmental ecosystems.
机译:生态系统碳(C)运输时间是表征土地封存的关键诊断参数。该参数在文献中具有不同的变体,包括常用的周转时间。然而,我们几乎讨论了如何在非稳定状态下代表多个隔室的碳传输时不同的运输时间和变换时间。在这项研究中,我们估计了常规股票过度定义的C营业额时间,平均C转移时间由离开系统的C质量平均年龄定义。我们将它们纳入社区氛围生物圈土地交换(电缆)模型,以估算C营业额时间和运输时间,以应对气候变暖和升高的大气[CO2]。建模分析表明,C周转时间和运输时间随着气候变暖而增加,但大气压升高[CO2]。变暖的营业额增加了2.4岁以下的时间和运输时间11.8?相对于1901年的稳定州的2100年。在同一时期,大气压[CO2]升高时间将C营业额减少3.8?年份和运输时间5.5 ?年。我们的分析表明,全球平均速度增长的65%,气候变暖耗尽来自快速周转池的耗尽。剩下的35%增加了伴随组织C年龄结构的伴随变化的结果。类似地,平均C传递时间随着大气[CO2]的平均途径的降低导致C近似从C中的补充到快速周转C池中,随后的隔间C年龄结构降低。与运输时间大大不同,不考虑C年龄结构或呼吸C的CAGE结构组成的变化,升温和升高的大气[CO2]对C诊断时间的影响,并且可能导致估计估算界的偏差C多隔间生态系统中的封存。

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