Future research challenges for incorporation of uncertainty in environmental and ecological decision-making

By James C. Ascough II, Holger R. Maier, Jakin K. Ravalico, M. Strudley. 2008

523 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/0de5e10bc7af8d9798b882881d5ecebbf14169d8

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In Management Science and Operations Research

In Ocean Engineering

In Water Science and Technology

Citations in the corpus

Uncertainty and risk in wildland fire management: a review. (2011, methodology): “typology of Ascough et al. (2008). Better understanding the nature of the uncertainty”
Integrated environmental modeling: A vision and roadmap for the future (2013, background): “Further, Matott et al. (2009) Application of these ideas to more complicated IEMs is only beginning to emerge (Ascough et al., 2008; Bastin et al., in this issue; Beven, 2007; McIntosh et al., 2011; Refsgaard et al., 2007), and there is still much to learn in developing methods and case studies.”
A Methodology for the Selection of Multi-Criteria Decision Analysis Methods in Real Estate and Land Management Processes (2018, background): “However, the various weakness must also be considered including the difficulties connected to quantifying the uncertainty of the human input [66] and the subsequent conflict between the thoughts and priorities of the stakeholders and the expression of ranking and values.”
Selecting among five common modelling approaches for integrated environmental assessment and management (2013, background): “Tools such as multiobjective optimisation and multi-criteria analysis can provide insight into the trade-offs between competing objectives (Ascough et al., 2008; Maier et al., 2008) and can be coupled with simulation models (Gibbs et al., 2012).”
An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together? (2016, background): “Uncertainty has been considered extensively in the context of environmental and hydrological models for many years (Ascough et al., 2008; Durbach and Stewart, 2012; Refsgaard et al., 2007; Stewart, 2005).”
Reviewing the Science and Implementation of Climate Change Adaptation Measures in European Forestry (2011, background): “As part of decision support systems these tools can facilitate a holistic uncertainty management [83,84].”
Predicting distributions of invasive species (2013, background): “While there have been a number of theoretical treatments and reviews of sources of uncertainty in correlative equilibrium SDMs and related fields (Ascough et al., 2008; Barry & Elith, 2006; Elith et al., 2002; Kangas & Kangas, 2004; Leyk et al., 2005; Rocchini et al., 2011), relatively little has…”
Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication (2016, background): “…and errors, including aleatory uncertainty, epistemic uncertainty, semantic or linguistic uncertainty, and ontological uncertainty (e.g. Beven and Binley 1992, McBratney 1992, Regan et al. 2002, Ascough et al. 2008, Beven 2009, Raadgever et al. 2011, Beven and Young 2013, Beven et al. 2014).”