首页> 外文期刊>Global change biology >Modelling carbon responses of tundra ecosystems to historical and projected climate: a comparison of a plotand a global-scale ecosystem model to identify process-based uncertainties
【24h】

Modelling carbon responses of tundra ecosystems to historical and projected climate: a comparison of a plotand a global-scale ecosystem model to identify process-based uncertainties

机译:对苔原生态系统对历史和预计气候的碳响应进行建模:一个图与一个全球规模的生态系统模型的比较,以识别基于过程的不确定性

获取原文
获取原文并翻译 | 示例
           

摘要

We are developing a process-based modelling approach to investigate how carbon (C) storage of tundra across the entire Arctic will respond to projected climate change. To implement the approach, the processes that are least understood, and thus have the most uncertainty, need to be identified and studied. In this paper, we identified a key uncertainty by comparing the responses of C storage in tussock tundra at one site between the simulations of two models-one a global-scale ecosystem model (Terrestrial Ecosystem Model, TEM) and one a plot-scale ecosystem model (General Ecosystem Model, GEM). The simulations spanned the historical period (1921-94) and the projected period (1995-2100). In the historical period, the model simulations of net primary production (NPP) differed in their sensitivity to variability in climate. However, the long-term changes in C storage were similar in both simulations, because the dynamics of heterotrophic respiration (R_H) were similar in both models. In contrast, the responses of C storage in the two model simulations diverged during the projected period. In the GEM simulation for this period, increases in Rn tracked increases in NPP, whereas in the TEM simulation increases in R_H lagged increases in NPP. We were able to make the long-term C dynamics of the two simulations agree by parameterizing TEM to the fast soil C pools of GEM. We concluded that the differences between the long-term C dynamics of the two simulations lay in modelling the role of the recalcitrant soil C. These differences, which reflect an incomplete understanding of soil processes, lead to quite different projections of the response of panArctic C storage to global change. For example, the reference parameterization of TEM resulted in an estimate of cumulative C storage of 2032g Cm~(-2) for moist tundra north of 50 deg N, which was substantially higher than the 463g Cm~(-2) estimated for a parameterization of fast soil C dynamics. This uncertainty in the depiction of the role of recalcitrant soil C in long-term ecosystem C dynamics resulted from our incomplete understanding of controls over C and N transformations in Arctic soils. Mechanistic studies of these issues are needed to improve our ability to model the response of Arctic ecosystems to global change.
机译:我们正在开发一种基于过程的建模方法,以研究整个北极地区冻原的碳(C)储存将如何应对预计的气候变化。要实施该方法,需要确定和研究那些最不被理解,因而不确定性最大的过程。在本文中,我们通过比较两种模型的仿真(一种全球规模的生态系统模型(陆地生态系统模型,TEM)和一种样地规模的生态系统)之间的比较,比较了一个地点的草丛苔藓中碳储存的响应,从而确定了关键的不确定性。模型(通用生态系统模型,GEM)。模拟跨越了历史时期(1921-94年)和预计时期(1995-2100年)。在历史时期,净初级生产(NPP)的模型模拟对气候变化的敏感性不同。但是,由于两个模型中异养呼吸(R_H)的动力学相似,因此两个模拟中C储存的长期变化相似。相比之下,在两个模型模拟中C储存的响应在预计的时期内有所不同。在此期间的GEM模拟中,Rn的增加跟踪了NPP的增加,而在TEM模拟中,R_H的增加滞后了NPP的增加。通过将TEM参数化为GEM的快速土壤C库,我们能够使两个模拟的长期C动态一致。我们得出的结论是,两个模拟的长期C动力学之间的差异在于对顽固性土壤C的作用进行建模。这些差异反映了对土壤过程的不完全了解,导致对PanArctic C响应的预测大不相同。存储以应对全球变化。例如,TEM的参考参数化导致50°N以北的湿苔原的累积C储量估计为2032g Cm〜(-2),大大高于参数化估计的463g Cm〜(-2)。快速的土壤碳动力学。顽固性土壤C在长期生态系统C动态中的作用描述中存在这种不确定性,这是由于我们对北极土壤中的C和N转化控制没有完全理解。需要对这些问题进行机理研究,以提高我们对北极生态系统对全球变化的响应进行建模的能力。

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