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Effects of Snow Cover on Spring Vegetation Phenology Vary With Temperature Gradient Across the Pan‐Arctic

Youlv Wu, Pengfeng Xiao, Xueliang Zhang, Hao Liu, Yuanbiao Dong, Lian Feng

2023Journal of Geophysical Research Biogeosciences23 citationsDOIOpen Access PDF

Abstract

Abstract Extensive 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.

Topics & Concepts

SnowPhenologyArcticEnvironmental sciencePrecipitationVegetation (pathology)ClimatologyVegetation coverPhysical geographyThe arcticClimate changeSpring (device)MeteorologyEcologyGeographyOceanographyMedicineGeologyBiologyLand useMechanical engineeringEngineeringPathologyCryospheric studies and observationsClimate change and permafrostClimate variability and models
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