Assimilating phenology datasets automatically across ICOS ecosystem stations

Assimilating phenology datasets automatically across ICOS ecosystem stations. Hufkens, K., Filippa, G., Cremonese, E., Migliavacca, M., D'Odorico, P., Peichl, M., Gielen, B., Hörtnagl, L., Soudani, K., Papale, D., Rebmann, C., Brown, T., & Wingate, L. International Agrophysics, 32(4):677-687, 2018.
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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. K e y w o r d s: ICOS, near-surface remote sensing, proximal sensing, digital repeat photography, phenology, protocol INTRODUCTION Phenology is the study of the timing of recurrent biological events, the causes of the timing with regard to biotic and abiotic forces, and the interrelations among phases of the same or different species (Leith, 1974). Plant phenological events such as leaf out, flowering and leaf senescence are driven by photoperiod, year to year variations in temperature and moisture availability (Delpierre et al., 2016; Xie et al., 2015) and are "perhaps the simplest process in which to track changes in the ecology of species in response to climate change" (Rosenzweig et al., 2007). These subtle variations in phenology can impact directly the length of the growing season and more importantly, the seasonality of carbon, water and energy exchanges between terrestrial ecosystems and the atmosphere (Baldocchi et al., 2005; Richardson et al., 2013). Recent studies have shown

@article{
 title = {Assimilating phenology datasets automatically across ICOS ecosystem stations},
 type = {article},
 year = {2018},
 keywords = {ICOS,digital repeat photography,near-surface remote sensing,phenology,protocol,proximal sensing},
 pages = {677-687},
 volume = {32},
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 abstract = {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. K e y w o r d s: ICOS, near-surface remote sensing, proximal sensing, digital repeat photography, phenology, protocol INTRODUCTION Phenology is the study of the timing of recurrent biological events, the causes of the timing with regard to biotic and abiotic forces, and the interrelations among phases of the same or different species (Leith, 1974). Plant phenological events such as leaf out, flowering and leaf senescence are driven by photoperiod, year to year variations in temperature and moisture availability (Delpierre et al., 2016; Xie et al., 2015) and are "perhaps the simplest process in which to track changes in the ecology of species in response to climate change" (Rosenzweig et al., 2007). These subtle variations in phenology can impact directly the length of the growing season and more importantly, the seasonality of carbon, water and energy exchanges between terrestrial ecosystems and the atmosphere (Baldocchi et al., 2005; Richardson et al., 2013). Recent studies have shown},
 bibtype = {article},
 author = {Hufkens, Koen and Filippa, Gianluca and Cremonese, Edoardo and Migliavacca, Mirco and D'Odorico, Petra and Peichl, Matthias and Gielen, Bert and Hörtnagl, Lukas and Soudani, Kamel and Papale, Dario and Rebmann, Corinna and Brown, Tim and Wingate, Lisa},
 doi = {10.1515/intag-2017-0050},
 journal = {International Agrophysics},
 number = {4}
}

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