Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 406082
Title Linking Models for Assessing Agricultural Land Use Change
Author(s) Janssen, S.J.C.; Athanasiadis, I.N.; Bezlepkina, I.; Knapen, M.J.R.; Li, H.; Dominguez, I.P.; Rizzoli, A.E.; Ittersum, M.K. van
Source Computers and Electronics in Agriculture 76 (2011)2. - ISSN 0168-1699 - p. 148 - 160.
Department(s) CGI - Spatial Models and Knowledge Systems
LEI NAT HULPB - Milieu, Natuur en Landschap
Plant Production Systems
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) integrated assessment - management - future - framework - policies - resources - interface - ontology - seamless - science
Abstract The ex-ante assessment of the likely impacts of policy changes and technological innovations on agriculture can provide insight into policy effects on land use and other resources and inform discussion on the desirability of such changes. Integrated assessment and modeling (IAM) is an approach that can be used for ex-ante assessment. It may combine several quantitative models representing different processes and scales into a framework for integrated assessment to allow for multi scale analysis of environmental, economic and social issues. IAM is a challenging task as models from different disciplines have a different representation of data, space and time. The aim of this paper is to describe our strategy to conceptually, semantically and technically integrate a chain of models from different domains to assess land use changes. The models that were linked are based on different modeling techniques (e.g. optimization, simulation, estimation) and operate on different time and spatial scales. The conceptual integration to ensure consistent linkage of simulated processes and scales required modelers representing the different models to clarify the data exchanged and interlinking of modeling methodologies across scales. For semantic integration, ontologies provided a way to rigorously define conceptualizations that can be easily shared between various disciplines. Finally, for technical integration, OpenMI was used and supplemented with the information from ontologies. In our case, explicitly tackling the challenge of semantic, conceptual and technical integration of models forced researchers to clarify the assumptions of their model interfaces, which helped to document the model linkage and to efficiently run models together. The linked models can now easily be used for integrated assessments of policy changes, technological innovations and societal and biophysical changes.
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