European phenological data platform for climatological applications
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External Data Spec
Published 02 Nov 2011
COST action 725 ‘Establishing a European phenological data platform for climatological applications’ comprising all phenological records digitally available at present. It included entire phenological networks of 11 countries (Austria, Belgium, Czech Republic, Estonia, Germany, Latvia, Poland, Slovakia, Slovenia, Switzerland, Russia (provided by the 5FP project POSITIVE)), five specialists networks (Finland, Spain, the Netherlands, Norway, United Kingdom) and the network of the International Phenological Gardens in Europe (http://www.agrar.huberlin. de/pflanzenbau/agrarmet/ipg_en.html), spreading over 14 countries including, in addition to countries named above, Croatia, Denmark, Greece, Ireland and Macedonia. In total, phenological trends of 542 plant species in 21 countries (125 628 time series) and 19 animal species in three countries (301 time series) were analysed. The phenophases of wild plants, fruit trees and agricultural crops were assigned to a BBCH (Biologische Bundesanstalt, Bundessortenamt and CHemical Industry) code (Meier, 1997) and grouped either by BBCH code or BBCH subgroups (principal growth stages). If applicable, agricultural and natural phases were treated separately. Annual mean onset dates for nine countries (Austria, Belarus/northern Russia, Estonia, Czech Republic,Germany, Poland, Slovenia, Switzerland, Ukraine/southern Russia), comprising 254 records (phenophases countries) of 101 years, however, mostly covering the total period 1951–1999, were available for the quantitative assessment of temperature responses.
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Provider:
- Central Institute for Meteorology and Geodynamics (ZAMG)
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Dataset URL:
- http://www.zamg.ac.at/cost725/login.php
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Dataset path:
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COST 725 Final report http://proclimweb.scnat.ch/portal/ressources/937.pdf
See new project at http://www.pep725.eu/
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For references, please go to https://www.eea.europa.eu/data-and-maps/data/external/european-phenological-data-platform-for or scan the QR code.
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