Affiliation:
1. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean Science Nanjing University Nanjing China
2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing China
3. School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China
Abstract
AbstractExtensive and complex changes in spring vegetation phenology have occurred in the Pan‐Arctic over the last several decades. However, the role of snow cover at the start of the growing season (SOS) under different climatic conditions remains unclear. Therefore, we compare the effects of four snow indicators on SOS from 1982 to 2015 based on long‐term remote sensing data and found that snow cover end date (SCED) is the main snow indicator affecting SOS, with SOS advancing 0.56 days for each 1‐day advance in SCED, explaining 12%–90% of SOS variability in 63% of the Pan‐Arctic region. The results also demonstrate that SCED is the dominant factor on SOS in 13% of the Pan‐Arctic region and the effects of SCED on SOS vary with temperature gradient rather than precipitation gradient. In cold areas, the positive effect of SCED on SOS diminished with increasing temperature, while in warm areas, the positive effect of SCED on SOS increased with increasing temperature. As the climate warms, the impact of SCED on SOS is expected to weaken in cold areas and increase in warm areas. The findings have crucial implications for understanding future vegetation phenological responses to climate change across the Pan‐Arctic.
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
American Geophysical Union (AGU)
Subject
Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry
Cited by
2 articles.
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