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  Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative

Poulter, B., MacBean, N., Hartley, A., Khlystova, I., Arino, O., Betts, R., et al. (2015). Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative. Geoscientific Model Development, 8, 2315-2328. doi:10.5194/gmd-8-2315-2015.

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 Urheber:
Poulter, B.1, Autor
MacBean, N.1, Autor
Hartley, A.1, Autor
Khlystova, Iryna2, Autor           
Arino, O.1, Autor
Betts, R.1, Autor
Bontemps, S.1, Autor
Boettcher, M.1, Autor
Brockmann, C.1, Autor
Defourny, P.1, Autor
Hagemann, Stefan3, Autor           
Herold, M.1, Autor
Kirches, G.1, Autor
Lamarche, C.1, Autor
Lederer, D.1, Autor
Ottle, C.1, Autor
Peters, M.1, Autor
Peylin, P.1, Autor
Affiliations:
1external, ou_persistent22              
2Terrestrial Remote Sensing / HOAPS, The Land in the Earth System, MPI for Meteorology, Max Planck Society, ou_913559              
3Terrestrial Hydrology, The Land in the Earth System, MPI for Meteorology, Max Planck Society, ou_913560              

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Schlagwörter: GLOBAL VEGETATION MODEL; WORLD MAP; ECOSYSTEMS; FORESTS; CYCLE; UNCERTAINTIES; RESOLUTION; FEEDBACKS; PHENOLOGY; DATABASE
 Zusammenfassung: Global land cover is a key variable in the earth system with feedbacks on climate, biodiversity and natural resources. However, global land cover data sets presently fall short of user needs in providing detailed spatial and thematic information that is consistently mapped over time and easily transferable to the requirements of earth system models. In 2009, the European Space Agency launched the Climate Change Initiative (CCI), with land cover (LC_CCI) as 1 of 13 essential climate variables targeted for research development. The LC_CCI was implemented in three phases: first responding to a survey of user needs; developing a global, moderate-resolution land cover data set for three time periods, or epochs (2000, 2005, and 2010); and the last phase resulting in a user tool for converting land cover to plant functional type equivalents. Here we present the results of the LC_CCI project with a focus on the mapping approach used to convert the United Nations Land Cover Classification System to plant functional types (PFTs). The translation was performed as part of consultative process among map producers and users, and resulted in an open-source conversion tool. A comparison with existing PFT maps used by three earth system modeling teams shows significant differences between the LC_CCI PFT data set and those currently used in earth system models with likely consequences for modeling terrestrial biogeochemistry and land-atmosphere interactions. The main difference between the new LC_CCI product and PFT data sets used currently by three different dynamic global vegetation modeling teams is a reduction in high-latitude grassland cover, a reduction in tropical tree cover and an expansion in temperate forest cover in Europe. The LC_CCI tool is flexible for users to modify land cover to PFT conversions and will evolve as phase 2 of the European Space Agency CCI program continues.

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Sprache(n): eng - English
 Datum: 2015-08
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: ISI: 000358917100023
DOI: 10.5194/gmd-8-2315-2015
 Art des Abschluß: -

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Titel: Geoscientific Model Development
  Kurztitel : GMD
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Göttingen : Copernicus Publ.
Seiten: - Band / Heft: 8 Artikelnummer: - Start- / Endseite: 2315 - 2328 Identifikator: Anderer: 1991-959X
CoNE: https://pure.mpg.de/cone/journals/resource/1991-959X