Snow Height Sensors Reveal Phenological Advance in Alpine Grasslands

作者：Michael Zehnder, Beat Pfund, Jan Svoboda, Christoph Marty, Yann Vitasse, Jake M. Alexander, Janneke HilleRisLambers, Christian Rixen · 发表于：Global Change Biology · 年份：2025 · DOI：10.1111/gcb.70195 · 被引用次数：6 · 研究领域：Species Distribution and Climate Change、Plant Water Relations and Carbon Dynamics、Remote Sensing in Agriculture

Long-term phenological data in alpine regions are often limited to a few locations and thus, little is known about climate-change-induced plant phenological shifts above the treeline. Because plant growth initiation in seasonally snow-covered regions is largely driven by snowmelt timing and local temperature, it is essential to simultaneously track phenological shifts, snowmelt, and near-ground temperatures. In this study, we make use of ultrasonic snow height sensors installed at climate stations in the Swiss Alps to reveal the phenological advance of grassland ecosystems and relate them to climatic changes over 25 years (1998-2023). When snow is absent, these snow height sensors additionally provide information on plant growth at a uniquely fine temporal scale. We applied a two-step machine learning algorithm to separate snow- from plant-height measurements, allowing us to determine melt-out for 122 stations between 1560 and 2950 m a.s.l., and to extract seasonal plant growth signals for a subset of 40 stations used for phenological analyses. We identified the start of growth and calculated temperature trends, focusing particularly on thermal conditions between melt-out and growth initiation. We observed an advance of green-up by -2.4 days/decade coinciding with strong warming of up to +0.8°C/decade. Although the timing of snowmelt has not changed significantly over the study period in this focal region, phenological responses to early melt-out years varied due to differing...