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1000 Titel
  • Deliberative processes for comprehensive evaluation of agro-ecological models
1000 Autor/in
  1. Bellocchi, Gianni |
  2. Rivington, Mike |
  3. Acutis, Marco |
1000 Erscheinungsjahr 2014
1000 Publikationstyp
  1. Kongressschrift |
  2. Artikel |
1000 Online veröffentlicht
  • 2014-06-27
1000 Erschienen in
1000 Quellenangabe
  • 3(Supplement):CP3-16
1000 Übergeordneter Kongress
1000 Copyrightjahr
  • 2015
1000 Verlagsversion
  • https://ojs.macsur.eu/index.php/Reports/article/view/CP3-16 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Biophysical models are acknowledged for examining interactions of agro-ecological systems and fostering communication between scientists, managers and the public. As the role of models grows in importance, there is an increase in the need to assess their quality and performance (Bellocchi et al., 2010). However, the heterogeneity of factors influencing model outputs makes it difficult a full assessment of model features. Where models are used with or for stakeholders then model credibility depends not only on the outcomes of well-structured statistical evaluation but also less tangible factors may need to be addressed using complementary deliberative processes. To expand our horizons in the evaluation of crop and grassland models, approaches have been reviewed with emphasis on using combined metrics. Comprehensive evaluation of simulation models was developed to integrate expectations of stakeholders via a weighting system where lower and upper fuzzy bounds are applied to a set of evaluation metrics. A questionnaire-based survey helped understanding the multi-faceted knowledge and experience required and the substantial challenges posed by the deliberative process. MACSUR knowledge hub holds potential to advance in good modelling practice in relation with model evaluation (including access to appropriate software tools), an activity which is frequently neglected in the context of time-limited projects.
1000 Fächerklassifikation (DDC)
1000 DOI 10.4126/FRL01-006414107 |
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-2712-7979|http://d-nb.info/gnd/137393539|https://orcid.org/0000-0002-1576-8261
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1000 Erstellt am 2019-04-17T11:37:42.050+0200
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1000 Oai Id
  1. oai:frl.publisso.de:frl:6414107 |
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