The role of expert opinion in environmental modelling

By Tobias Krüger, Trevor Page, Klaus Hubacek, Laurence Smith, Kevin Hiscock. Environmental Modelling & Software, 2012

472 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Management Science and Operations Research, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/51f1d059faf93909f221445549b6337abd0f7d4b

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In Global and Planetary Change

In Management Science and Operations Research

In Water Science and Technology

Citations in the corpus

Quantifying carbon fluxes from primary production to mesopelagic fish using a simple food web model (2019, methodology): “In effect, this is a process of expert elicitation that is often used in constructing Bayesian frameworks (Choy et al., 2009; Krueger et al., 2012).”
An overview of methods to evaluate uncertainty of deterministic models in decision support (2015, unknown): “Expert assessment is an established methodology for obtaining estimates of relationships that cannot be or are too expensive or impractical to be observed directly, such as hypothetical scenarios (e.g. Krueger et al., 2012 and references therein).”
Selecting among five common modelling approaches for integrated environmental assessment and management (2013, background): “The level and success at which model outputs are utilized will often depend on how connected stakeholders are to the model and how relevant model outputs are to policy and extension activities (Krueger et al., 2012; Voinov and Bousquet, 2010).”
Use of expert knowledge to elicit population trends for the koala (Phascolarctos cinereus) (2016, background): “Consolidated knowledge can assist in the development of adaptive management strategies for a species, setting management goals (Lindenmayer & Burgman, 2005) and decision-making, particularly when it complements other information (Krueger et al., 2012).”
A practical guide to structured expert elicitation using the IDEA protocol (2018, background): “However, reviews by Burgman (2004), Regan et al. (2005), Kuhnert et al. (2010) and Krueger et al. (2012) highlight that informal methods for expert elicitation continue to prevail.”
Evaluating process-based integrated assessment models of climate change mitigation (2017, background): “Climate models provide unique insights with few competing sources of knowledge (126).”
Characterising performance of environmental models (2013, background): “…to assess whether the logic and details of the model matches its intended rence between wavelet power spectra with simulated error and the original data series) ying through the dataset and thus an appropriate performance indicator is one that purpose (Nguyen et al., 2007; Krueger et al., 2012).”
Integrated environmental modeling: A vision and roadmap for the future (2013, background): “The de ﬁ nition of stakeholders in this case is quite broad (Krueger et al., 2012) and in the case of IEM applications includes experts (scientists, engineers, educators, and decision makers) as well as non-experts (in the traditional sense).”