Abstract

Alpine plants complete their seasonal phenological cycle during two to three snow-free months. Under climate change, snowmelt advances and the risk of summer droughts increases. Yet, photoperiodism may prevent alpine plants from benefiting from an earlier start of the growing season. To identify the drivers of flowering phenology in the seven main species of an alpine grassland, we experimentally shifted the snowmelt date through snow manipulations, and excluded precipitation during summer. With “time-to-event” models, we analysed the beginning of main flowering with respect to temperature sums, time after snowmelt, and calendar day (photoperiod). We identified two phenology types: four species tracking snowmelt dates directly or with a certain lag set by temperature sums, including the dominant sedge Carex curvula, Anthoxanthum alpinum Helictotrichon versicolor, and Trifolium alpinum, and three species tracking photoperiod: Geum montanum, Leontodon helveticus and Potentilla aurea. Photoperiodism did not act as daylength threshold but rather modulated the thermal sums at flowering. Hence, photoperiod delayed flowering after earlier snowmelt. The grass A. alpinum was the only one of seven species that clearly responded to drought by earlier and longer flowering. The remarkably high importance of snowmelt dates for both phenology types suggests an earlier onset of flowering in a warmer climate, particularly for non-photoperiod-sensitive species, with an increasing risk for freezing damages and potential disruptions of biotic interactions in the most frequent type of alpine grassland across the Alps. Consequentially, the distinct microclimate and species-specific responses to photoperiod challenge temperature-only based projections of climate warming effects on alpine plant species.

Highlights

  • The length of the growing season is determined by snow cover duration and alpine plant development is closely linked to snowmelt timing (Körner 2021)

  • About half of 23 species studied in the high alpine belt (2600–3200 m a.s.l) have displayed pronounced photoperiodism in the greenhouse

  • In addition to the treatment effects, we investigated the linear relation of TS (°h ≥ 0 °C) at to main flowering (TMF) and snowmelt dates for each species, again with timeto-event analysis, using a Gaussian hazard distribution

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Summary

Introduction

The length of the growing season is determined by snow cover duration and alpine plant development is closely linked to snowmelt timing (Körner 2021). Further massive reductions in snow cover duration are predicted under ongoing and future climate change (Keller et al 2005; Steger et al 2013; Hock et al 2019). Given the long-lasting snow cover, alpine plants have to complete their growth and reproduction very rapidly within a 10–12-week growing season. About half of 23 species studied in the high alpine belt (2600–3200 m a.s.l) have displayed pronounced photoperiodism in the greenhouse (response to daylength, to photoperiod; Keller and Körner 2003). Photoperiodism prevents plant development during warm spells in late winter or early spring and facilitates synchronised flowering, presumably increasing reproductive success (Heide 2001; Keller and Körner 2003). Photoperiodism prevents plant development during warm spells in late winter or early spring and facilitates synchronised flowering, presumably increasing reproductive success (Heide 2001; Keller and Körner 2003). Heide (1985, 1990, 1992, 2005; Heide et al 1990) provided compelling evidence that photoperiod plays

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