News Release

Climate change driving snow cover loss and increased “greening” in the European Alps

Peer-Reviewed Publication

American Association for the Advancement of Science (AAAS)

Satellite imagery of the European Alps spanning the past 38 years shows that climate change is driving declines in snow cover and increases in plant productivity, a process also known as “greening.” The findings suggest that, although alpine greening could increase carbon sequestration in the region, feedbacks between snow and vegetation are more likely to lead to more pronounced environmental changes in the future, including amplified warming, thawing of permafrost, and increased habitat loss. Mountain landscapes are biodiversity hotspots and provide a host of important ecosystem services. For example, meltwater from alpine glaciers and snow provides nearly half of the world’s freshwater resources. However, mountain environments are also more sensitive to climate change – warming roughly twice as fast as the global average. This is expected to impact snow cover and vegetation productivity in alpine regions, just as it has in the Arctic. To determine these effects in the European Alps, the highest and most extensive mountain range in Europe, Sabine Rumpf and colleagues used Landsat images and evaluated the spatial and temporal trends of snow cover and vegetation production from 1984-2021. According to the findings, snow cover across the region has declined significantly, although in less than 10% of the area studied. On the other hand, vegetation productivity has increased across 77% of the above tree-line area in the study region. The feedback loop between greening and snow recession suggests that continued greening will likely accelerate snowmelt, which could have important implications, including altering the region’s albedo (its ability to reflect solar energy), potentially releasing greenhouse gases through melting permafrost, and disrupting ecological structures, putting fragile alpine plant and animal communities at further risk.

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