Heat wave hinders green wave: The impact of climate extreme on the phenology of 
a mountain grassland

Cremonese, Edoardo; Filippa, Gianluca; Galvagno, Marta; Siniscalco, Consolata; Oddi, Ludovica; Cella, Umberto Morra di; Migliavacca, Mirco

doi:10.1016/j.agrformet.2017.08.016

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Heat wave hinders green wave: The impact of climate extreme on the phenology of a mountain grassland

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Migliavacca, Mirco
Biosphere-Atmosphere Interactions and Experimentation, Dr. M. Migliavacca, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Citation

Cremonese, E., Filippa, G., Galvagno, M., Siniscalco, C., Oddi, L., Cella, U. M. d., et al. (2017). Heat wave hinders green wave: The impact of climate extreme on the phenology of a mountain grassland. Agricultural and Forest Meteorology, 247, 320-330. doi:10.1016/j.agrformet.2017.08.016.

Cite as: https://hdl.handle.net/11858/00-001M-0000-002E-2300-F

Abstract

Climate extremes can have tremendous impacts on the terrestrial biosphere and their frequency is very likely going to increase in the coming years. In this study we examine the impact of the 2015 summer heat wave on a mountain grassland in the Western European Alps by jointly analyzing phenocam greenness (GCC) trajectories, proximal sensing, CO2 flux data and structural canopy traits. Phenocam effectively tracked the impact of the heat wave, showing 39% of reduction in maximum canopy greenness and a senescence advance of 32 days compared to mean values. The same patterns (i.e. reduction of maximum values and senescence advance) were observed for all considered canopy traits and photosynthetic ecosystem functional properties, in particular the maximum light-saturated rate of CO2 uptake (Amax), LAI and PRI. Pixel-level analysis of phenocam images allowed us to further highlight that forbs were more heavily impacted than grasses. Moreover the effect of the extreme event on greenness seasonal course was evaluated testing new formulations of the Growing Season Index (GSI) model. Results demonstrate that a combination of water and high temperature stress was responsible for the observed reduction of canopy greenness during the heat wave.