DOI: 10.1111/gcb.13930
Scopus记录号: 2-s2.0-85032808251
论文题名: Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems
作者: Wang X. ; Wang T. ; Guo H. ; Liu D. ; Zhao Y. ; Zhang T. ; Liu Q. ; Piao S.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2018
卷: 24, 期: 4 起始页码: 1651
结束页码: 1662
语种: 英语
英文关键词: northern ecosystems
; path model
; snow water equivalent
; snowmelt date
; soil moisture
; vegetation greenness
Scopus关键词: carbon cycle
; ecosystem modeling
; global climate
; snow water equivalent
; snowmelt
; soil moisture
; vegetation dynamics
; winter
; Central Europe
; Himalayas
; North America
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. © 2017 John Wiley & Sons Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110441
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, China; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
Recommended Citation:
Wang X.,Wang T.,Guo H.,et al. Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems[J]. Global Change Biology,2018-01-01,24(4)