347
© Springer Nature Switzerland AG 2020
P. Saundry, B. L. Ruddell (eds.), The Food-Energy-Water Nexus, AESS
Interdisciplinary Environmental Studies and Sciences Series,
https://doi.org/10.1007/978-3-030-29914-9_13
Chapter 13
Metrics
Michael Carbajales-Dale and Carey W. King
13.1 Introduction
To mitigate the consequences of FEW interdependences and to guide policy action,
decision-makers and stakeholders can benefit from using clearly developed indicators and performance metrics.
This chapter presents a high-level framework to categorize FEW metrics; demonstrate how different metrics might be favored over others; and explain how metrics and models are used to inform and direct actions.
Decision-making and planning are not only about numbers but also honest, clear
language to communicate the science and data correctly.
See Chaps. 4 and 20 for discussion of how people adapt and collaborate in the
face of FEW stresses. Chapter 14 discusses the various types of data and their challenges that are the core inputs for metrics. Chapter 15 discusses interdependent
modeling which simulates outcomes that can be calibrated and compared to historical data and metrics, as well as establishes future possibilities for meeting target
goals defined by metrics via stakeholder engagement.
M. Carbajales-Dale
Environmental Engineering & Earth Sciences, Clemson University, Clemson, SC, USA
e-mail: madale@clemson.edu
C. W. King (*)
Energy Institute, The University of Texas at Austin, Austin, TX, USA
e-mail: careyking@mail.utexas.edu
© Springer Nature Switzerland AG 2020
P. Saundry, B. L. Ruddell (eds.), The Food-Energy-Water Nexus, AESS
Interdisciplinary Environmental Studies and Sciences Series,
https://doi.org/10.1007/978-3-030-29914-9_13
Chapter 13
Metrics
Michael Carbajales-Dale and Carey W. King
13.1 Introduction
To mitigate the consequences of FEW interdependences and to guide policy action,
decision-makers and stakeholders can benefit from using clearly developed indicators and performance metrics.
This chapter presents a high-level framework to categorize FEW metrics; demonstrate how different metrics might be favored over others; and explain how metrics and models are used to inform and direct actions.
Decision-making and planning are not only about numbers but also honest, clear
language to communicate the science and data correctly.
See Chaps. 4 and 20 for discussion of how people adapt and collaborate in the
face of FEW stresses. Chapter 14 discusses the various types of data and their challenges that are the core inputs for metrics. Chapter 15 discusses interdependent
modeling which simulates outcomes that can be calibrated and compared to historical data and metrics, as well as establishes future possibilities for meeting target
goals defined by metrics via stakeholder engagement.
M. Carbajales-Dale
Environmental Engineering & Earth Sciences, Clemson University, Clemson, SC, USA
e-mail: madale@clemson.edu
C. W. King (*)
Energy Institute, The University of Texas at Austin, Austin, TX, USA
e-mail: careyking@mail.utexas.edu