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Assimilating phenology datasets automatically across ICOS ecosystem stations

Hufkens, Koen; Filippa, Gianluca; Cremonese, Edoardo; Migliavacca, Mirco; D'Odorico, Petra; Peichl, Matthias; Gielen, Bert; Hortnagl, Lukas; Soudani, Kamel; Papale, D B; Rebmann, Corinna; Brown, Timothy; Wingate, Lisa

Description

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...[Show more]

dc.contributor.authorHufkens, Koen
dc.contributor.authorFilippa, Gianluca
dc.contributor.authorCremonese, Edoardo
dc.contributor.authorMigliavacca, Mirco
dc.contributor.authorD'Odorico, Petra
dc.contributor.authorPeichl, Matthias
dc.contributor.authorGielen, Bert
dc.contributor.authorHortnagl, Lukas
dc.contributor.authorSoudani, Kamel
dc.contributor.authorPapale, D B
dc.contributor.authorRebmann, Corinna
dc.contributor.authorBrown, Timothy
dc.contributor.authorWingate, Lisa
dc.date.accessioned2019-04-13T01:45:13Z
dc.date.available2019-04-13T01:45:13Z
dc.identifier.issn2300-8725
dc.identifier.urihttp://hdl.handle.net/1885/159546
dc.description.abstractThe 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.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherSciendo
dc.rightsAuthor/s retain cooyright
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceInternational Agrophysics
dc.titleAssimilating phenology datasets automatically across ICOS ecosystem stations
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume32
dc.date.issued2018
local.identifier.absfor080399 - Computer Software not elsewhere classified
local.identifier.absfor050206 - Environmental Monitoring
local.identifier.absfor050101 - Ecological Impacts of Climate Change
local.identifier.ariespublicationu3102795xPUB183
local.type.statusPublished Version
local.contributor.affiliationHufkens, Koen, INRA
local.contributor.affiliationFilippa, Gianluca, Environmental Protection Agency of Aosta Valley
local.contributor.affiliationCremonese, Edoardo, Environmental Protection Agency of Aosta Valley
local.contributor.affiliationMigliavacca, Mirco, Max Planck Institute for Biogeochemistry
local.contributor.affiliationD'Odorico, Petra, University of Toronto
local.contributor.affiliationPeichl, Matthias, Swedish University of Agricultural Sciences
local.contributor.affiliationGielen, Bert, University of Antwerp
local.contributor.affiliationHortnagl, Lukas, ETH Zurich
local.contributor.affiliationSoudani, Kamel, University of Paris Sud
local.contributor.affiliationPapale, D B, Universita di Tuscia
local.contributor.affiliationRebmann, Corinna, Helmholz Centre for Environmental Research
local.contributor.affiliationBrown, Timothy, College of Science, ANU
local.contributor.affiliationWingate, Lisa, INRA
local.bibliographicCitation.issue4
local.bibliographicCitation.startpage677
local.bibliographicCitation.lastpage687
local.identifier.doi10.1515/intag-2017-0050
local.identifier.absseo960310 - Global Effects of Climate Change and Variability (excl. Australia, New Zealand, Antarctica and the South Pacific) (excl. Social Impacts)
local.identifier.absseo960501 - Ecosystem Assessment and Management at Regional or Larger Scales
local.identifier.absseo970106 - Expanding Knowledge in the Biological Sciences
dc.date.updated2019-03-12T07:25:11Z
local.identifier.scopusID2-s2.0-85059558493
dcterms.accessRightsOpen Access
dc.provenanceJournal: International Agrophysics (ISSN: 0236-8722, ESSN: 2300-8725) RoMEO: This is a RoMEO green journal Listed in: DOAJ as an open access journal Author's Pre-print: green tick author can archive pre-print (ie pre-refereeing) Author's Post-print: green tick author can archive post-print (ie final draft post-refereeing) Publisher's Version/PDF: green tick author can archive publisher's version/PDF General Conditions: On authors' personal website or institutional repository Published source must be acknowledged Must link to journal homepage with DOI Publisher's version/PDF may be used NIH Authors articles will be automatically submitted to PubMed Central upon online publication If required by funding agency, authors may use a Creative Commons Attribution License
dc.rights.licenseCreative Commons Attribution Non-Commercial No Derivatives License 4.0
CollectionsANU Research Publications

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