气候变化领域集成服务门户(CCPortal): Impact of dynamic vegetation phenology on the simulated pan-Arctic land surface state

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DOI	10.1007/s00382-018-4142-2
	Impact of dynamic vegetation phenology on the simulated pan-Arctic land surface state
	Teufel B.; Sushama L.; Arora V.K.; Verseghy D.
发表日期	2019
ISSN	0930-7575
起始页码	373
结束页码	388
卷号	52 期号:2020-01-02
英文摘要	The pan-Arctic land surface is undergoing rapid changes in a warming climate, with near-surface permafrost projected to degrade significantly during the twenty-first century. Vegetation-related feedbacks have the potential to influence the rate of degradation of permafrost. In this study, the impact of dynamic phenology on the pan-Arctic land surface state, particularly near-surface permafrost, for the 1961–2100 period, is assessed by comparing two simulations of the Canadian Land Surface Scheme (CLASS)—one with dynamic phenology, modelled using the Canadian Terrestrial Ecosystem Model (CTEM), and the other with prescribed phenology. These simulations are forced by atmospheric data from a transient climate change simulation of the 5th generation Canadian Regional Climate Model (CRCM5) for the Representative Concentration Pathway 8.5 (RCP8.5). Comparison of the CLASS coupled to CTEM simulation to available observational estimates of plant area index, spatial distribution of permafrost and active layer thickness suggests that the model captures reasonably well the overall distribution of vegetation and permafrost. It is shown that the most important impact of dynamic phenology on the land surface occurs through albedo and it is demonstrated for the first time that vegetation control on albedo during late spring and early summer has the highest potential to impact the degradation of permafrost. While both simulations show extensive near-surface permafrost degradation by the end of the twenty-first century, the strong projected response of vegetation to climate warming and increasing CO 2 concentrations in the coupled simulation results in accelerated permafrost degradation in the northernmost continuous permafrost regions. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Active layer thickness; Albedo; Climate change; Dynamic vegetation model; Permafrost
语种	英语
scopus关键词	active layer; albedo; atmospheric dynamics; climate change; computer simulation; numerical model; permafrost; phenology; seasonal variation; vegetation dynamics; Canada
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146615
作者单位	Department of Civil Engineering and Applied Mechanics, Trottier Institute for Sustainability in Engineering and Design, McGill University, Montreal, Canada; Department of Earth and Atmospheric Sciences, University of Quebec at Montreal, Montreal, Canada; Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, University of Victoria, Victoria, Canada; Climate Processes Section, Climate Research Division, Environment and Climate Change Canada, Toronto, Canada
推荐引用方式 GB/T 7714	Teufel B.,Sushama L.,Arora V.K.,et al. Impact of dynamic vegetation phenology on the simulated pan-Arctic land surface state[J],2019,52(2020-01-02).
APA	Teufel B.,Sushama L.,Arora V.K.,&Verseghy D..(2019).Impact of dynamic vegetation phenology on the simulated pan-Arctic land surface state.Climate Dynamics,52(2020-01-02).
MLA	Teufel B.,et al."Impact of dynamic vegetation phenology on the simulated pan-Arctic land surface state".Climate Dynamics 52.2020-01-02(2019).