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1000 Titel
  • Sensitivity and uncertainty analysis of grassland models in Europe and Israel
1000 Autor/in
  1. Sándor, Renáta |
  2. Ma, S. |
  3. Acutis, Marco |
  4. Barcza, Zoltán |
  5. DORO, Luca |
  6. Hidy, D. |
  7. Köchy, Martin |
  8. Minet, J. |
  9. Lellei-Kovacs, Eszter |
  10. Perego, G. |
  11. Rolinski, S. |
  12. RUGET, Françoise |
  13. Seddaiu, Giovanna |
  14. Wu, L. |
  15. Bellocchi, Gianni |
1000 Erscheinungsjahr 2015
1000 Publikationstyp
  1. Kongressschrift |
  2. Artikel |
1000 Online veröffentlicht
  • 2015-05-11
1000 Erschienen in
1000 Quellenangabe
  • 5:SP5-55
1000 FRL-Sammlung
1000 Übergeordneter Kongress
1000 Copyrightjahr
  • 2015
1000 Verlagsversion
  • https://ojs.macsur.eu/index.php/Reports/article/view/SP5-55 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Grassland models are valuable tools to test hypotheses on grassland ecosystem functioning. In the frame of FACCE MACSUR LiveM, a model intercomparison was conducted using a dataset from an observational and experimental network of nine multi-year grassland sites spread across Europe (France, Italy, Germany, Switzerland, The Netherlands, and United Kingdom) and Israel, and a suite of nine models to understand grassland functioning in the region. Grassland-specific approaches were compared to approaches mainly conceived to simulate crops and plant functional types. Model evaluation against actual measurements was performed before and after model calibration. The calibrated models were used to analyze their sensitivity to independent variations of temperature, precipitation and [CO2]. The results show to which extent calibration can accommodate model discrepancies. The sensitivity of simulated gross primary production to [CO2] and temperature is an important outcome, considering the fundamental effect of rising temperature and [CO2] on the C cycling of terrestrial ecosystems in the Euro-Mediterranean region. Overall, alternative models exhibit a different sensitivity to climate change factors, with different performances over different conditions. Explained by the basic processes of each model and also induced by different calibration methods, this difference is indicative that more models can be complementary and deliver greater insights than if they were applied individually.
1000 Fächerklassifikation (DDC)
1000 DOI 10.4126/FRL01-006413708 |
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-5132-1945|https://frl.publisso.de/adhoc/creator/TWEsIFMu|https://orcid.org/0000-0002-1576-8261|https://orcid.org/0000-0002-1278-0636|https://orcid.org/0000-0003-1404-2255|https://frl.publisso.de/adhoc/creator/SGlkeSwgRC4=|https://orcid.org/0000-0001-6809-2608|https://frl.publisso.de/adhoc/creator/TWluZXQsIEou|https://orcid.org/0000-0002-9654-6934|https://frl.publisso.de/adhoc/creator/UGVyZWdvLCBHLg==|https://frl.publisso.de/adhoc/creator/Um9saW5za2ksIFMu|https://orcid.org/0000-0001-5407-8549|https://orcid.org/0000-0001-6043-1134|https://frl.publisso.de/adhoc/creator/V3UsIEwu|https://orcid.org/0000-0003-2712-7979
1000 Label
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1000 @id frl:6413708.rdf
1000 Erstellt am 2019-04-02T13:38:30.271+0200
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1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Thu Jan 30 19:49:43 CET 2020
1000 Objekt bearb. Wed Jun 19 12:10:46 CEST 2019
1000 Vgl. frl:6413708
1000 Oai Id
  1. oai:frl.publisso.de:frl:6413708 |
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