气候变化领域集成服务门户(CCPortal): Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems

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DOI	10.1111/gcb.13930
	Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems
	Wang, Xiaoyi; Wang, Tao; Guo, Hui; Liu, Dan; Zhao, Yutong; Zhang, Taotao; Liu, Qiang; Piao, Shilong
通讯作者	Wang, T (通讯作者)
发表日期	2018
ISSN	1354-1013
EISSN	1365-2486
起始页码	1651
结束页码	1662
卷号	24 期号:4
英文摘要	Although seasonal snow is recognized as an important component in the global climate system, the ability of snow to affect plant production remains an important unknown for assessing climate change impacts on vegetation dynamics at high-latitude ecosystems. Here, we compile data on satellite observation of vegetation greenness and spring onset date, satellite-based soil moisture, passive microwave snow water equivalent (SWE) and climate data to show that winter SWE can significantly influence vegetation greenness during the early growing season (the period between spring onset date and peak photosynthesis timing) over nearly one-fifth of the land surface in the region north of 30 degrees, but the magnitude and sign of correlation exhibits large spatial heterogeneity. We then apply an assembled path model to disentangle the two main processes (via changing early growing-season soil moisture, and via changing the growth period) in controlling the impact of winter SWE on vegetation greenness, and suggest that the moisture and growth period effect, to a larger extent, result in positive and negative snow-productivity associations, respectively. The magnitude and sign of snow-productivity association is then dependent upon the relative dominance of these two processes, with the moisture effect and positive association predominating in Central, western North America and Greater Himalaya, and the growth period effect and negative association in Central Europe. We also indicate that current state-of-the-art models in general reproduce satellite-based snow-productivity relationship in the region north of 30 degrees, and do a relatively better job of capturing the moisture effect than the growth period effect. Our results therefore work towards an improved understanding of winter snow impact on vegetation greenness in northern ecosystems, and provide a mechanistic basis for more realistic terrestrial carbon cycle models that consider the impacts of winter snow processes.
关键词	ALASKAN ARCTIC TUNDRA CLIMATE-CHANGE GROWING-SEASON CARBON-CYCLE NITROGEN MINERALIZATION WATER EQUIVALENT RADIOMETER DATA SOIL-MOISTURE RESPONSES DEPTH
英文关键词	northern ecosystems; path model; snow water equivalent; snowmelt date; soil moisture; vegetation greenness
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS记录号	WOS:000426504400018
来源期刊	GLOBAL CHANGE BIOLOGY
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259124
推荐引用方式 GB/T 7714	Wang, Xiaoyi,Wang, Tao,Guo, Hui,et al. Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems[J]. 中国科学院青藏高原研究所,2018,24(4).
APA	Wang, Xiaoyi.,Wang, Tao.,Guo, Hui.,Liu, Dan.,Zhao, Yutong.,...&Piao, Shilong.(2018).Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems.GLOBAL CHANGE BIOLOGY,24(4).
MLA	Wang, Xiaoyi,et al."Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems".GLOBAL CHANGE BIOLOGY 24.4(2018).