Assimilating phenology datasets automatically across ICOS ecosystem stations
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UMR 1391 ISPA, INRA , 71 avenue Edouard Bourlaux, 33140, Villenave D’Ornon, France
Climate Change Unit , Environmental Protection Agency of Aosta Valley, 44 Loc. Grande Charriere, 11020, St. Christophe, Italy
Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, D-07745, Jena, Germany
Department of Biology, University of Toronto, 3359 Mississauga Road, ON L5L 1C6, Mississauga, Canada
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd 1, 901 83 Umeå, Sweden
Department of Biology, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Belgium
Institute of Agricultural Sciences, ETH Zürich, Universitätstrasse 2, 8092, Zürich, Switzerland
Ecology Systematics and Evolution Laboratory, University Paris Sud, 91405, Orsay, France
Department of Forest Science and Environment, University of Tuscia, Via Santa Maria in Gradi 4, 01100, Viterbo, Italy
Department of Computational Hydrosystems, Helmholz Centre for Environmental Research, Permoserstraße 15, 04318, Leipzig, Germany
Research School of Biology, Australian National University, ACT 2601, Acton, Australia
Publication date: 2018-11-23
Int. Agrophys. 2018, 32(4): 677-687
The presence or absence of leaves within plant canopies exert a strong influence on the carbon, water and energy balance of ecosystems. Identifying key changes in the timing of leaf elongation and senescence during the year can help to understand the sensitivity of different plant functional types to changes in temperature. When recorded over many years these data can provide information on the response of ecosystems to long-term changes in climate. The installation of digital cameras that take images at regular intervals of plant canopies across the Integrated Carbon Observation System ecosystem stations will provide a reliable and important record of variations in canopy state, colour and the timing of key phenological events. Here, we detail the procedure for the implementation of cameras on Integrated Carbon Observation System flux towers and how these images will help us understand the impact of leaf phenology and ecosystem function, distinguish changes in canopy structure from leaf physiology and at larger scales will assist in the validation of (future) remote sensing products. These data will help us improve the representation of phenological responses to climatic variability across Integrated Carbon Observation System stations and the terrestrial biosphere through the improvement of model algorithms and the provision of validation datasets.
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