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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, theaccumulated field observation data cover a wide range of geographicallocations and climate conditions. However, there are still largeuncertainties in the magnitude and spatiotemporal variation of global soilrespiration. Using a global soil respiration data set, we developed aclimate-driven model of soil respiration by modifying and updating Raich'smodel, and the global spatiotemporal distribution of soil respiration wasexamined using this model. The model was applied at a spatial resolution of0.5°and a monthly time step. Soil respiration was divided into theheterotrophic and autotrophic components of respiration using an empiricalmodel. The estimated mean annual global soil respiration was91 Pg C yr?1 (between 1965 and 2012; Monte Carlo 95 % confidenceinterval: 87–95 Pg C yr?1) and increased at the rate of0.09 Pg C yr?2. The contribution of soil respiration from borealregions to the total increase in global soil respiration was on the sameorder of magnitude as that of tropical and temperate regions, despite a lowerabsolute magnitude of soil respiration in boreal regions. The estimatedannual global heterotrophic respiration and global autotrophic respirationwere 51 and 40 Pg C yr?1, respectively. The global soil respirationresponded to the increase in air temperature at the rate of3.3 Pg C yr?1 °C?1, and Q10 = 1.4. Our study scaledup observed soil respiration values from field measurements to estimateglobal soil respiration and provide a data-oriented estimate of global soilrespiration. The estimates are based on a semi-empirical model parameterizedwith over one thousand data points. Our analysis indicates that the climatecontrols on soil respiration may translate into an increasing trend in globalsoil respiration and our analysis emphasizes the relevance of the soil carbon flux fromsoil to the atmosphere in response to climate change. Further approachesshould additionally focus on climate controls in soil respiration incombination with changes in vegetation dynamics and soil carbon stocks, alongwith their effects on the long temporal dynamics of soil respiration. Weexpect that these spatiotemporal estimates will provide a benchmark forfuture 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,累积的实地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存在较大的不确定性。我们使用全球土壤呼吸数据集,通过修改和更新Raich模型建立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°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。估计的全球土壤平均年呼吸量为91 Pg C yr ?1 (1965年至2012年;蒙特卡洛95%置信区间:87–95 Pg C yr ?1 )并增加了以0.09 Pg C yr ?2 的速率。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。估计的年度全球异养呼吸和总体自养呼吸分别为51和40 Pg C yr ?1 。全球土壤呼吸以3.3 Pg C yr ?1 °C ?1 和 Q < sub> 10 = 1.4。我们的研究按比例放大了从田间测量中观察到的土壤呼吸值,以估算全球土壤呼吸,并提供了以数据为导向的全球土壤呼吸估算。估计值基于参数化的半经验模型,该模型具有一千多个数据点。我们的分析表明,对土壤呼吸的气候控制可能会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从土壤到大气中的碳通量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,以及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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