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CO2 evasion from boreal lakes: Revised estimate, drivers of spatial variability, and future projections

机译:来自Boreal Lakes的二氧化碳逃避:修订估计,空间变异驱动因素和未来预测

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摘要

Lakes (including reservoirs) are an important component of the global carbon (C) cycle, as acknowledged by the fifth assessment report of the IPCC. In the context of lakes, the boreal region is disproportionately important contributing to 27% of the worldwide lake area, despite representing just 14% of global land surface area. In this study, we used a statistical approach to derive a prediction equationfor the partial pressure of CO2 (pCO(2)) in lakes as a function of lake area, terrestrial net primary productivity (NPP), and precipitation (r(2)=.56), and to create the first high-resolution, circumboreal map (0.5 degrees) of lake pCO(2). The map of pCO(2) was combined with lake area from the recently published GLOWABO database and three different estimates of the gas transfer velocity k to produce a resulting map of CO2 evasion (FCO2). For the boreal region, we estimate an average, lake area weighted, pCO(2) of 966 (678-1,325) atm and a total FCO2 of 189 (74-347) Tg C year(-1), and evaluate the corresponding uncertainties based on Monte Carlo simulation. Our estimate of FCO2 is approximately twofold greater than previous estimates, as a result of methodological and data source differences. We use our results along with published estimates of the other C fluxes through inland waters to derive a C budget for the boreal region, and find that FCO2 from lakes is the most significant flux of the land-ocean aquatic continuum, and of a similar magnitude as emissions from forest fires. Using the model and applying it to spatially resolved projections of terrestrial NPP and precipitation while keeping everything else constant, we predict a 107% increase in boreal lake FCO2 under emission scenario RCP8.5 by 2100. Our projections are largely driven by increases in terrestrial NPP over the same period, showing the very close connection between the terrestrial and aquatic C cycle.
机译:湖泊(包括水库)是全球碳(C)周期的重要组成部分,由IPCC第五次评估报告所承认。在湖泊的背景下,尽管仅占全球陆地面积的14%,但北方地区占全球湖区的27%的贡献。在这项研究中,我们利用统计方法来推导出湖泊中CO2(PCO(2))的部分压力的预测方程,作为湖区,陆地净初级生产率(NPP)和降水(R(2)= .56),并创建第一个高分辨率,散景湖(0.5度)的PCO(2)。 PCO(2)的地图与最近公布的Glowabo数据库的湖区和气体传递速度k的三种不同估计相结合,以产生所得到的CO2逃避(FCO2)的地图。对于北方北部地区,我们估计了966(678-1,325)ATM的平均水平,湖泊面积,PCO(2)和189(74-347)TG C年(-1)的总FCO2,并评估相应的不确定性基于蒙特卡罗模拟。由于方法论和数据源差异,我们对FCO2的估计大约比以前的估计大致大致两倍。我们使用我们的结果以及通过内陆水域的其他C通量的公布估计,为北方地区获得C预算,并发现来自湖泊的FCO2是陆地水生连续体的最重要的通量,以及类似的级别作为森林火灾的排放。使用该模型并将其应用于地面NPP的空间和降水的预测,同时保持其他一切恒定,我们预测发射场景下的北方湖湖FCO2增加了107%,rcp8.5到2100。我们的预测主要由地球NPP的增加驱动在同一时期,显示陆地和水生C循环之间非常紧密的连接。

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