A conceptual model to guide exploration of global food-water security

While food security can be approached as a local issue, it is strongly influenced by factors at inter-regional and global scales related to production, transaction (e.g. trade and distribution) and consumption, and by drivers such as climate, population growth, diet change, as well as social, political and technological developments. Action on food security therefore benefits from being informed by current global patterns and potential future changes and taking an integrated approach to assessing impacts of proposed responses. Modelling can notably contribute by assessing the influence of various factors on food security. Due to the significant complexity and uncertainty involved, model development and use is simplified by approaching it as an exploratory process rather than aiming for a comprehensive historically accurate model. We present a macro-scale conceptual model to help structure and guide this exploration. We begin with the broad question “Will future developments achieve and maintain food security?” with the intent of exploring alternate possibilities of future developments, definitions of food security and factors influencing this question, beginning with assessing whether there is enough green and blue water to meet dietary energy requirements under typical current and future climatic variation. The conceptual model guides the selection of factors to explore sequentially through modelling (keeping other variables constant), iteratively building complexity as necessary. This helps to construct understanding using manageable building blocks, with the conceptual model evolving as it is used. The staged decomposition of this complex issue provides a framework to help build capacity for individuals and government agencies to understand their actions and policy respectively in a global context, with the hope that improving knowledge of adaptation options can help secure food supply to everyone.

[1]  K. Arrow,et al.  EXISTENCE OF AN EQUILIBRIUM FOR A COMPETITIVE ECONOMY , 1954 .

[2]  A. Jakeman,et al.  Providing scientific certainty in predictive decision support: the role of closed questions , 2012 .

[3]  A. Gelan Cash or Food Aid? A General Equilibrium Analysis for Ethiopia , 2006 .

[4]  Robert J. Lempert,et al.  Computer-assisted reasoning , 2001, Comput. Sci. Eng..

[5]  James W. Jones,et al.  The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies , 2013 .

[6]  Benjamin P. Bryant,et al.  Thinking Inside the Box , 2010 .

[7]  M. Kummu,et al.  Climate-driven interannual variability of water scarcity in food production potential: a global analysis , 2013 .

[8]  W. Lucht,et al.  Agricultural green and blue water consumption and its influence on the global water system , 2008 .

[9]  Anthony J. Jakeman,et al.  Selecting among five common modelling approaches for integrated environmental assessment and management , 2013, Environ. Model. Softw..

[10]  Julian M. Allwood,et al.  Visualising a Stochastic Model of Californian Water Resources Using Sankey Diagrams , 2013, Water Resources Management.

[11]  Robert J. Lempert,et al.  Shaping the next one hundred years , 2003 .

[12]  S. McGuire,et al.  WHO, World Food Programme, and International Fund for Agricultural Development. 2012. The State of Food Insecurity in the World 2012. Economic growth is necessary but not sufficient to accelerate reduction of hunger and malnutrition. Rome, FAO. , 2013, Advances in nutrition.

[13]  P. Berck,et al.  Food Security Policy in a Stochastic World , 1989 .

[14]  Steve Bankes,et al.  Exploratory Modeling for Policy Analysis , 1993, Oper. Res..

[15]  S. Friel,et al.  Climate Change Adaptation at the Intersection of Food and Health , 2011, Asia-Pacific journal of public health.

[16]  M. Kummu,et al.  From Food Insufficiency towards Trade Dependency: A Historical Analysis of Global Food Availability , 2013, PloS one.

[17]  J. A. Allan,et al.  Virtual Water: A Strategic Resource Global Solutions to Regional Deficits , 1998 .

[18]  F. Frappart,et al.  Climate-driven interannual ice mass evolution in Greenland , 2012 .

[19]  P. Kyle,et al.  The Agricultural Model Intercomparison and Improvement Project (AgMIP) Town Hall , 2015 .

[20]  M. Hipsey,et al.  “Panta Rhei—Everything Flows”: Change in hydrology and society—The IAHS Scientific Decade 2013–2022 , 2013 .

[21]  James W. Jones,et al.  The Agricultural Model Intercomparison and Improvement Project (AgMIP): Integrated regional assessment projects , 2012 .

[22]  M. Qureshi,et al.  Impact of water scarcity in Australia on global food security in an era of climate change , 2013 .

[23]  Dieter Gerten,et al.  Global Water Availability and Requirements for Future Food Production , 2011 .

[24]  R. Lempert,et al.  Shaping the Next One Hundred Years: New Methods for Quantitative Long-Term Policy Analysis , 2003 .