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Global spatiotemporal distribution of soil respiration modeled using a global database

机译:使用全球数据库建模的土壤呼吸的全局时空分布

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The flux of carbon dioxide from the soil to the atmosphere (soil respiration) is one of the major fluxes in the global carbon cycle. At present, the accumulated field observation data cover a wide range of geographical locations and climate conditions. However, there are still large uncertainties in the magnitude and spatiotemporal variation of global soil respiration. Using a global soil respiration data set, we developed a climate-driven model of soil respiration by modifying and updating Raich's model, and the global spatiotemporal distribution of soil respiration was examined using this model. The model was applied at a spatial resolution of 0.5°and a monthly time step. Soil respiration was divided into the heterotrophic and autotrophic components of respiration using an empirical model. The estimated mean annual global soil respiration was 91 Pg C yr?1 (between 1965 and 2012; Monte Carlo 95 % confidence interval: 87–95 Pg C yr?1) and increased at the rate of 0.09 Pg C yr?2. The contribution of soil respiration from boreal regions to the total increase in global soil respiration was on the same order of magnitude as that of tropical and temperate regions, despite a lower absolute magnitude of soil respiration in boreal regions. The estimated annual global heterotrophic respiration and global autotrophic respiration were 51 and 40 Pg C yr?1, respectively. The global soil respiration responded to the increase in air temperature at the rate of 3.3 Pg C yr?1 °C?1, and Q10 = 1.4. Our study scaled up observed soil respiration values from field measurements to estimate global soil respiration and provide a data-oriented estimate of global soil respiration. The estimates are based on a semi-empirical model parameterized with over one thousand data points. Our analysis indicates that the climate controls on soil respiration may translate into an increasing trend in global soil respiration and our analysis emphasizes the relevance of the soil carbon flux from soil to the atmosphere in response to climate change. Further approaches should additionally focus on climate controls in soil respiration in combination with changes in vegetation dynamics and soil carbon stocks, along with their effects on the long temporal dynamics of soil respiration. We expect that these spatiotemporal estimates will provide a benchmark for future studies and also help to constrain process-oriented models.
机译:从土壤到大气中的二氧化碳的通量(土壤呼吸)是全球碳循环中的主要助熔剂之一。目前,累积的现场观察数据涵盖了各种地理位置和气候条件。然而,全球土壤呼吸的幅度和时空变异仍存在巨大的不确定性。使用全球土壤呼吸数据集,我们通过修改和更新赖希模型开发了一种气候驱动的土壤呼吸模型,并使用该模型检查了土壤呼吸的全球时空分布。该模型以0.5°的空间分辨率和每月时间步长应用。使用经验模型将土壤呼吸分为呼吸的异养和自养成分。估计的平均年度全球土壤呼吸为91 pg c YR?1(在1965年至2012年间;蒙特卡罗95%置信区间:87-95pg C YR?1),以0.09pg C YRα2的速率增加。尽管北方地区的土壤呼吸绝对幅度较低,但北方地区土壤呼吸从北方地区呼吸到全球土壤呼吸总量的贡献与热带和温带地区的总数相同。估计的年度全球异质呼吸和全局自养呼吸分别为51和40 pg C YR?1。全球土壤呼吸应对空气温度的增加,以3.3 pg C Yrα1°C 2〜1,Q10 = 1.4。我们的研究从现场测量中缩放了观察到的土壤呼吸值,以估计全球土壤呼吸,并提供全球土壤呼吸的数据导向估计。估计基于具有超过一千个数据点的半实证模型。我们的分析表明,土壤呼吸的气候控制可以转化为全球土壤呼吸的越来越大的趋势,我们的分析强调土壤碳通量与土壤与气候变化的相关性的相关性。另外,进一步的方法应专注于土壤呼吸中的气候控制与植被动力学和土壤碳股的变化相结合,以及它们对土壤呼吸长时间动态的影响。我们预期,这些时空估计将为未来的研究提供基准,并有助于约束进程为导向的模型。

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