Journal
AGRICULTURAL AND FOREST METEOROLOGY
Volume 315, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.agrformet.2022.108828
Keywords
Spring greenup; Phenology; Remote sensing; Climate change; Snow melt; Alaska
Categories
Funding
- National Natural Science Foundation of China [41875107]
- Strategic Priority Research Program of the Chinese Academy of Sciences, CASEarth [XDA19070203]
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This study analyzed the impacts of snowmelt on spring phenological shifts in high-latitude ecosystems using multiple datasets. The results showed that warmer springs leading to earlier snowmelt dominated the advanced spring vegetation phenology in the region. The responses of vegetation phenology to snowmelt varied among ecoregions and were driven by the changes in soil temperature and soil water content.
Snow is considered a vital component in the northern climate system, however, our understanding of the impacts of snowmelt on spring phenological shifts is still limited for high-latitude ecosystems. In this study, we analyzed the start of growing season (SOS) and its response to the process of snowmelt over 2000-2019 using multiple ground observations, satellite data products, and climate datasets in Alaska and part of Canada Yukon among five ecoregions. We found that the earlier snowmelt resulting from warming spring dominates the advanced spring vegetation phenology in the region. Spring vegetation greenup follows the start of snowmelt (SOM). During 2000-2019, the SOM and SOS advanced in a similar spatial pattern across the ecoregions, and SOS experienced further advancement than SOM. On average, SOS advanced about 0.49 days per day of SOM advancement. The impacts of snowmelt on vegetation phenology are largely driven by the snowmelt-induced synergistic changes in soil temperature and soil water content. As snowmelt starts, the infiltration of snowmelt water and insulation of the remaining snow cover stimulate the vegetation activities below the snow. The responses of SOS to the snowmelt phenology varied among the different ecoregions are associated with the varied climate backgrounds and vegetation types. Greater SOS and SOM advancements were found in the taiga-tundra ecotone, while lower changes were detected over the tundra. This study suggests that the snow cover and snowmelt phenology should be considered to better understand the vegetation seasonality under climate change in the high latitudes.
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