...
首页> 外文期刊>Global change biology >Effects of variations in simulated changes in soil carbon contents and dynamics on future climate projections
【24h】

Effects of variations in simulated changes in soil carbon contents and dynamics on future climate projections

机译:土壤碳含量和动态模拟变化的变化对未来气候预测的影响

获取原文
获取原文并翻译 | 示例
           

摘要

Climatic variables have major effects on all components and processes of the global carbon (C) cycle, including soil C contents and dynamics, which in turn have significant feedback effects on the global climate. We have investigated the interactive effects between soil C and projected climatic changes using the Institute of Numerical Mathematics Climate Model (INMCM) climate-C cycle model coupled to three soil organic matter dynamics models [the Lund-Potsdam-Jena (LPJ) soil biogeochemistry, ROMUL and Q models] based on three markedly differing conceptual interpretations of soil organic matter transformation (biochemical, discrete succession and continuous quality, respectively). According to simulations using all these couplings the positive effect of CO fertilization on plant productivity outweighed the negative effects of increased soil temperature on soil C, consequently soils were projected to contain 10-104 Pg more C in 2100 than in the preindustrial period. However, the projected soil respiration rates tended to be higher and additional C storage lower when the LPJ soil biochemistry model was used rather than either the ROMUL or Q models. Global temperatures for 2100 predicted by the INMCM coupled to either the ROMUL or Q models were almost identical, but 0.4 pC lower than those predicted by the INMCM coupled to the LPJ soil biochemistry model. The differences in global predictions obtained with the ROMUL and Q models were smaller than expected given the fundamental difference in their formulations of the relationship between the quality and temperature sensitivity of soil organic matter decomposition.
机译:气候变量对全球碳循环的所有组成部分和过程都有重要影响,包括土壤中的碳含量和动态变化,进而对全球气候产生重要的反馈影响。我们使用数值数学气候模型(INMCM)气候-C循环模型与三种土壤有机质动力学模型[Lund-Potsdam-Jena(LPJ)土壤生物地球化学, ROMUL和Q模型]基于对土壤有机质转化的三种截然不同的概念解释(分别为生化,离散演替和连续质量)。根据使用所有这些耦合的模拟,CO施肥对植物生产力的积极影响超过土壤温度升高对土壤C的负面影响,因此,预计2100年土壤中的碳含量比工业化前期高10-104 Pg。但是,当使用LPJ土壤生物化学模型而不是ROMUL或Q模型时,预计的土壤呼吸速率往往较高,而额外的C储存较低。与ROMUL或Q模型耦合的INMCM预测的2100年全球温度几乎相同,但比与LPJ土壤生物化学模型耦合的INMCM预测的温度低0.4 pC。鉴于ROMUL和Q模型在土壤有机质分解的质量和温度敏感性之间的关系公式中存在根本差异,因此使用ROMUL和Q模型获得的全球预测差异要小于预期。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号