Toward dynamic global vegetation models for simulating vegetation–climate interactions and feedbacks: recent developments, limitations, and future challenges
Toward dynamic global vegetation models for simulating vegetation–climate interactions and feedbacks: recent developments, limitations, and future challenges
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DOI：
10.1139/a10-016
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发表时间：
2010-10
影响因子：
5.7
通讯作者：
A. Quillet;C. Peng;M. Garneau
中科院分区：
文献类型：
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作者：
A. Quillet;C. Peng;M. Garneau
当前的气候模型缺乏对生物圈-大气相互作用的表征。为了填补这一空白，可以在地表转移方案中引入植被动态，或者将全球气候模型（GCM）与植被动态模型结合起来。由于这些植被动态模型并非旨在包含在 GCM 中，那么最新一代动态全球植被模型 (DGVM) 如何适用于全球气候研究？本文回顾了DGVM建模的最新进展以及DGVM-GCM耦合在全球气候研究框架中的发展。显示了 DGVM 和耦合的局限性，并强调了这些方法的挑战。在过去的十年中，DGVM 在物理和生物地球化学机制（例如光合作用和呼吸过程）的表示以及植被区域特性的表示方面经历了重大变化。然而，已经发现了一些限制，例如碳和氮循环、竞争、土地利用和土地利用变化以及干扰。此外，模型耦合技术的最新进展允许在 DGVM 的帮助下模拟 GCM 中的植被-大气相互作用。尽管 DGVM 是大规模研究植被与大气相互作用的良好替代方案，但仍需进一步研究评估方法和模型设计中的一些弱点，以改进结果。
There is a lack in representation of biosphere-atmosphere interactions in current climate models. To fill this gap, one may introduce vegetation dynamics in surface transfer schemes or couple global climate models (GCMs) with vegetation dynamics models. As these vegetation dynamics models were not designed to be included in GCMs, how are the latest generation dynamic global vegetation models (DGVMs) suitable for use in global climate studies? This paper re- views the latest developments in DGVM modelling as well as the development of DGVM-GCM coupling in the frame- work of global climate studies. Limitations of DGVM and coupling are shown and the challenges of these methods are highlighted. During the last decade, DGVMs underwent major changes in the representation of physical and biogeochemi- cal mechanisms such as photosynthesis and respiration processes as well as in the representation of regional properties of vegetation. However, several limitations such as carbon and nitrogen cycles, competition, land-use and land-use changes, and disturbances have been identified. In addition, recent advances in model coupling techniques allow the simulation of the vegetation-atmosphere interactions in GCMs with the help of DGVMs. Though DGVMs represent a good alternative to investigate vegetation-atmosphere interactions at a large scale, some weaknesses in evaluation methodology and model design need to be further investigated to improve the results.