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Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems
Wang, XY (Wang, Xiaoyi)1; Wang, T (Wang, Tao)1,2; Guo, H (Guo, Hui)1; Liu, D (Liu, Dan)1; Zhao, YT (Zhao, Yutong)1; Zhang, TT (Zhang, Taotao)1; Liu, Q (Liu, Qiang)3; Piao, SL (Piao, Shilong)1,2,3
Source PublicationGLOBAL CHANGE BIOLOGY
2018-04-01
Volume24Issue:4Pages:1651-1662
DOI10.1111/gcb.13930
Abstract

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.

Subject Area生态学
WOS IDWOS:000426504400018
Language英语
Indexed BySCIE
KeywordAlaskan Arctic Tundra Climate-change Growing-season Carbon-cycle Nitrogen Mineralization Water Equivalent Radiometer Data Soil-moisture Responses Depth
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Ecology ; Environmental Sciences
Cooperation Status国内
ISSN1354-1013
Department高寒生态重点实验室
PublisherWILEY
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8697
Collection图书馆
Corresponding AuthorWang, T (Wang, Tao)
Affiliation1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing, Peoples R China;
2.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China;
3.Peking Univ, Sino French Inst Earth Syst Sci, Coll Urban & Environm Sci, Beijing, Peoples R China.
Recommended Citation
GB/T 7714
Wang, XY ,Wang, T ,Guo, H ,et al. Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems[J]. GLOBAL CHANGE BIOLOGY,2018,24(4):1651-1662.
APA Wang, XY .,Wang, T .,Guo, H .,Liu, D .,Zhao, YT .,...&Piao, SL .(2018).Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems.GLOBAL CHANGE BIOLOGY,24(4),1651-1662.
MLA Wang, XY ,et al."Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems".GLOBAL CHANGE BIOLOGY 24.4(2018):1651-1662.
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