DOI: 10.1073/pnas.2001254117
论文题名: Decreasing snow cover alters functional composition and diversity of Arctic tundra
作者: Niittynen P. ; Heikkinen R.K. ; Luoto M.
刊名: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 0027-8424
出版年: 2020
卷: 117, 期: 35 起始页码: 21480
结束页码: 21487
语种: 英语
英文关键词: Alpine mountain
; Microclimate
; Remote sensing
; Species distribution modeling
; Winter ecology
Scopus关键词: arctic tundra
; article
; climate warming
; human
; machine learning
; microclimate
; plant community
; plant leaf
; remote sensing
; snow cover
; species distribution
; vegetation
; winter
; adverse event
; Arctic
; biodiversity
; climate change
; cold
; ecosystem
; metabolism
; plant
; season
; temperature
; tundra
; snow
; Arctic Regions
; Biodiversity
; Climate Change
; Cold Temperature
; Ecosystem
; Plant Leaves
; Plants
; Seasons
; Snow
; Temperature
; Tundra
英文摘要: The Arctic is one of the least human-impacted parts of the world, but, in turn, tundra biome is facing the most rapid climate change on Earth. These perturbations may cause major reshuffling of Arctic species compositions and functional trait profiles and diversity, thereby affecting ecosystem processes of the whole tundra region. Earlier research has detected important drivers of the change in plant functional traits under warming climate, but studies on one key factor, snow cover, are almost totally lacking. Here we integrate plot-scale vegetation data with detailed climate and snow information using machine learning methods to model the responsiveness of tundra communities to different scenarios of warming and snow cover duration. Our results show that decreasing snow cover, together with warming temperatures, can substantially modify biotic communities and their trait compositions, with future plant communities projected to be occupied by taller plants with larger leaves and faster resource acquisition strategies. As another finding, we show that, while the local functional diversity may increase, simultaneous biotic homogenization across tundra communities is likely to occur. The manifestation of climate warming on tundra vegetation is highly dependent on the evolution of snow conditions. Given this, realistic assessments of future ecosystem functioning require acknowledging the role of snow in tundra vegetation models. © 2020 National Academy of Sciences. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163404
Appears in Collections: 气候变化与战略
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作者单位: Niittynen, P., Department of Geosciences and Geography, University of Helsinki, Helsinki, FIN-00014, Finland; Heikkinen, R.K., Biodiversity Centre, Finnish Environment Institute, Helsinki, FIN-00790, Finland; Luoto, M., Department of Geosciences and Geography, University of Helsinki, Helsinki, FIN-00014, Finland
Recommended Citation:
Niittynen P.,Heikkinen R.K.,Luoto M.. Decreasing snow cover alters functional composition and diversity of Arctic tundra[J]. Proceedings of the National Academy of Sciences of the United States of America,2020-01-01,117(35)