Perception and handling of uncertainties in water management—A study of practitioners’ and scientists’ perspectives on uncertainty in their daily decision-making

Abstract Uncertainties are central in any decision-making in water resource management. However, science and practice approach uncertainty handling and management in different ways. Science, for example, focuses on reducing uncertainties and/or places a good deal of emphasis on uncertainty quantification, while policy and practice apply risk-based decision approaches in order to cope with uncertainties throughout the entire management process. This study analyses how practitioners perceive and handle uncertainties in their daily decision-making routines at the knowledge/decision interface and how they evaluate and integrate uncertainty information into their decision-making. Expert interviews and questionnaires were used to examine and compare the practitioners’ and scientists’ perspectives on uncertainty management. Our results show that uncertainties matter for practitioners and that uncertainty information is regarded as highly relevant. However, scientists place more emphasis on uncertainties than practitioners. We further assert that there is a science-practice gap, where e.g. practitioners apply a bottom-up approach, thinking from potential measures upwards instead of impacts downwards. Scientists focus strongly on environmental uncertainties, while practitioners acknowledge and are guided by process uncertainties. Furthermore, rigid regulations in a predict-and-control manner hinder the implementation of flexible and adaptive management which acknowledge uncertainties. We also found that practitioners’ belonging to type of employer and business unit influences their level of uncertainty recognition and, hence, both affects the size of the science-practice gap and causes tension among practitioners from different business units and employers. Beside this gap, we show that the level of work experience is a cross-cutting property of scientist and practitioners, where uncertainty awareness and handling increases with work experience. This insight provides a basis on which to build routines for uncertainty integration into planning and decision-making and to bridge the science-practice gap.

[1]  H. Mayer Interview und schriftliche Befragung: Grundlagen und Methoden empirischer Sozialforschung , 2013 .

[2]  Patricia Gober,et al.  Decision-Making under Uncertainty for Water Sustainability and Urban Climate Change Adaptation , 2015 .

[3]  B. Fischhoff,et al.  The role of social and decision sciences in communicating uncertain climate risks , 2011 .

[4]  J. Abbott Understanding and Managing the Unknown , 2005 .

[5]  Peter A. Vanrolleghem,et al.  Uncertainty in the environmental modelling process - A framework and guidance , 2007, Environ. Model. Softw..

[6]  S. Funtowicz,et al.  Science for the Post-Normal Age , 1993, Commonplace.

[7]  Claudia Pahl-Wostl,et al.  Toward a Relational Concept of Uncertainty: about Knowing Too Little, Knowing Too Differently, and Accepting Not to Know , 2008 .

[8]  Udo Kuckartz,et al.  Einführung in die computergestützte Analyse qualitativer Daten , 2005 .

[9]  David Starrett,et al.  Coping With Uncertainty: A Call for a New Science-Policy Forum , 2003, Ambio.

[10]  T. Aven Misconceptions of Risk , 2010 .

[11]  Günter Blöschl,et al.  Climate change impacts—throwing the dice? , 2009 .

[12]  Jeroen P. van der Sluijs,et al.  Quality in environmental science for policy: Assessing uncertainty as a component of policy analysis , 2011 .

[13]  Warren E. Walker,et al.  Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support , 2003 .

[14]  Ann Kinzig Uncertainty and the Scientist , 2003, Ambio.

[15]  D. Ray,et al.  An uncertainty assessment framework for forest planning adaptation to climate change , 2014 .

[16]  Frank Ewert,et al.  Uncertainty analysis in integrated assessment: the users’ perspective , 2010 .

[17]  R. Kasperson Science and disaster reduction , 2010 .

[18]  Keith Beven,et al.  Developing a Translational Discourse to Communicate Uncertainty in Flood Risk between Science and the Practitioner , 2007, Ambio.

[19]  M. Meuser,et al.  Das Experteninterview — konzeptionelle Grundlagen und methodische Anlage , 2009 .

[20]  Ortwin Renn,et al.  Expertise and experience: a deliberative system of a functional division of labor for post-normal risk governance , 2014 .

[21]  Suraje Dessai,et al.  Communicating uncertainty in seasonal and interannual climate forecasts in Europe , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[22]  Ortwin Renn Risk Governance: Coping with Uncertainty in a Complex World , 2008 .

[23]  James Painter,et al.  Taking a bet on risk , 2015 .

[24]  Andrew A. Rosenberg Fishing for certainty , 2007, Nature.

[25]  T. Carter,et al.  This chapter should be cited as: , 2022 .

[26]  When, not if: the inescapability of an uncertain climate future , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[27]  D. Roux,et al.  Bridging the Science-Management Divide: Moving from Unidirectional Knowledge Transfer to Knowledge Interfacing and Sharing , 2006 .

[28]  Suraje Dessai,et al.  Robust adaptation to climate change , 2010 .

[29]  R. Kasperson,et al.  Linking vulnerability, adaptation, and resilience science to practice: Pathways, players, and partnerships , 2007 .

[30]  K. Elder,et al.  Changing times, changing stories: Generational differences in climate change perspectives from four remote indigenous communities in Subarctic Alaska , 2016 .

[31]  Claudia Pahl-Wostl,et al.  Conceptualising uncertainty in environmental decision-making: The example of the EU water framework directive , 2010 .

[32]  Britta Höllermann,et al.  Integration of uncertainties in water and flood risk management , 2015 .

[33]  J. A. Wardekker,et al.  Uncertainty communication in environmental assessments: views from the Dutch science-policy interface , 2008 .

[34]  D. Denyer,et al.  Effective risk governance for environmental policy making: A knowledge management perspective , 2014 .

[35]  Andrew Stirling,et al.  Keep it complex , 2010, Nature.

[36]  F. Pappenberger,et al.  Ignorance is bliss: Or seven reasons not to use uncertainty analysis , 2006 .

[37]  P. Hulme EDITORIAL: Bridging the knowing–doing gap: know‐who, know‐what, know‐why, know‐how and know‐when , 2014 .

[38]  R. Kasperson,et al.  Barriers in the science-policy-practice interface: Toward a knowledge-action-system in global environmental change research , 2010 .