Progress in integrated assessment and modelling
By P. Parker, R. Kelly, Anthony J. Jakeman, M. Bruce Beck, G. Harris, R. Argent, Matthew P. Hare, C. Pahl‐Wostl, Alexey A. Voinov, Marco A. Janssen. Environmental Modelling & Software, 2002
303 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/9b53ce3de542337ea001715185aee172ca7aad3a
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In Management, Monitoring, Policy and Law
Citations in the corpus
- Environmental decision support systems: Current issues, methods and tools (2007, background): “Reichert et al. (2007) develop a general procedure how decision analysis techniques can be used for river rehabilitation.”
- Integrated assessment and modelling: features, principles and examples for catchment management (2003, methodology): “As pointed out by Parker et al. (2002), the types of models include.”
- Ten iterative steps in development and evaluation of environmental models (2006, background): “Parker et al. (2002) call for the development of guidelines for situations where formal analysis and testing of a model may be difficult or unfeasible.”
- Crop modelling for integrated assessment of risk to food production from climate change (2015, background): “How climate change and extreme weather events translate into agricultural risk depends on the magnitude, likelihood (frequency), and certainty of the impacts, as well as the system's vulnerability (i.e. ability to cope with its consequences) (e.g. Parry, 2007).”
- An overview of model integration for environmental applications--components, frameworks and semantics (2004, background): “The area of integrated assessment related to climate change is an example of this, where the affects of future climate on social, economic and ecosystems are investigated (Dowlatabadi, 1995; Weyant et al., 1995; Parker et al., 2002).”
- An agent-based simulation model of human-environment interactions in agricultural systems (2011, background): “Among model developers, a consensus has grown that such simulation models should ideally give a balanced representation of the economic, environmental, as well as social dimensions of a given system (Parker et al. 2002, Schaldach and Alcamo 2006).”
- Characterising performance of environmental models (2013, background): “Questions of construction, operation and output of the model that may be relevant to its adoption cover a number of issues (Robson et al., 2008; Parker et al., 2002; Risbey et al., 1996), ranging from uncertainty in model components to unexpected behaviour and to how it is presented to users.”