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Inorganic carbon loading as a primary driver of dissolved carbon dioxide concentrations in the lakes and reservoirs of the contiguous United States

机译:无机碳负荷是美国连续湖泊和水库中溶解二氧化碳浓度的主要驱动因素

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Accurate quantification of CO_2 flux across the air-water interface and identification of the mechanisms driving CO_2 concentrations in lakes and reservoirs is critical to integrating aquatic systems into large-scale carbon budgets, and to predicting the response of these systems to changes in climate or terrestrial carbon cycling. Large-scale estimates of the role of lakes and reservoirs in the carbon cycle, however, typically must rely on aggregation of spatially and temporally inconsistent data from disparate sources. We performed a spatially comprehensive analysis of CO_2 concentration and air-water fluxes in lakes and reservoirs of the contiguous United States using large, consistent data sets, and modeled the relative contribution of inorganic and organic carbon loading to vertical CO_2 fluxes. Approximately 70% of lakes and reservoirs are supersaturated with respect to the atmosphere during the summer (June-September). Although there is considerable interregional and intraregional variability, lakes and reservoirs represent a net source of CO_2 to the atmosphere of approximately 40 Gg C d~(-1) during the summer. While in-lake CO_2 concentrations correlate with indicators of in-lake net ecosystem productivity, virtually no relationship exists between dissolved organic carbon and pCO_(2,aq). Modeling suggests that hydrologic dissolved inorganic carbon supports pCO_(2,aq) in most supersaturated systems (to the extent that 12% of supersaturated systems simultaneously exhibit positive net ecosystem productivity), and also supports primary production in most CO_2-undersaturated systems. Dissolved inorganic carbon loading appears to be an important determinant of CO_2 concentrations and fluxes across the air-water interface in the majority of lakes and reservoirs in the contiguous United States.
机译:准确量化穿过空气-水界面的CO_2通量,并确定驱动湖泊和水库中CO_2浓度的机制,对于将水生系统纳入大规模碳预算以及预测这些系统对气候或陆地变化的响应至关重要碳循环。但是,对湖泊和水库在碳循环中的作用的大规模估算通常必须依靠来自不同来源的时空不一致数据的汇总。我们使用大量一致的数据集对美国湖泊和水库中的CO_2浓度和空气水通量进行了空间综合分析,并对无机和有机碳负荷对垂直CO_2通量的相对贡献进行了建模。在夏季(6月至9月),大约70%的湖泊和水库的大气饱和度过高。尽管区域间和区域内的变化很大,但湖泊和水库在夏季代表了向大气中约40 Gg C d〜(-1)排放的CO_2的净源。尽管湖中的CO_2浓度与湖中净生态系统生产力的指标相关,但溶解的有机碳和pCO_(2,aq)之间实际上不存在任何关系。建模表明,水溶态的无机碳在大多数过饱和系统中都支持pCO_(2,aq)(某种程度的过饱和系统同时显示正的净生态系统生产力),并且还支持大多数CO_2不饱和系统中的一次生产。在美国连续的大多数湖泊和水库中,溶解的无机碳负荷似乎是决定CO_2浓度和通过空气-水界面的通量的重要决定因素。

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