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Global spatiotemporal distribution of soil respiration modeled using a global database

机译:使用全球数据库模拟的土壤呼吸的全球时空分布

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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 degrees 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: 8795 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 PgC yr(-1), respectively. The global soil respiration responded to the increase in air temperature at the rate of 3.3 Pg C yr(-1) degrees C-1, and Q(10) = 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:从土壤到大气的二氧化碳通量(土壤呼吸)是全球碳循环中的主要通量之一。目前,累积的现场观测数据涵盖了广泛的地理位置和气候条件。但是,全球土壤呼吸的大小和时空变化仍然存在很大的不确定性。使用全球土壤呼吸数据集,我们通过修改和更新Raich模型开发了气候驱动的土壤呼吸模型,并使用此模型检查了土壤呼吸的全球时空分布。该模型以0.5度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组成部分。估计的全球土壤呼吸年均平均值为91 Pg C yr(-1)(在1965年至2012年之间;蒙特卡洛95%置信区间:8795 Pg C yr(-1)),并以0.09 Pg C yr(- 2)。尽管北方地区土壤呼吸的绝对量较低,但北方地区土壤呼吸对全球总体土壤呼吸总量增加的贡献与热带和温带地区的数量级相同。估计年度全球异养呼吸和全球自养呼吸分别为51和40 PgC yr(-1)。全球土壤呼吸以3.3 Pg C yr(-1)摄氏度C-1和Q(10)= 1.4的速率响应空气温度的升高。我们的研究从实地测量中放大了观察到的土壤呼吸值,以估算全球土壤呼吸,并提供了面向数据的全球土壤呼吸估计。这些估计是基于一个带有超过一千个数据点参数化的半经验模型的。我们的分析表明,土壤呼吸的气候控制可能转化为全球土壤呼吸的增加趋势,并且我们的分析强调了土壤碳通量从土壤到大气对气候变化的响应的相关性。进一步的方法应另外关注土壤呼吸中的气候控制,结合植被动态和土壤碳储量的变化,以及它们对土壤呼吸的长期时间动态的影响。我们希望这些时空估计值将为将来的研究提供基准,也有助于约束面向过程的模型。

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