Data and modeling advances toward sustainable Food-Energy-Water development on a manageable scale

Session ID#: 124223

Session Description:
Multi-factor global changes have threatened the Earth's ability to provide people with the fundamental human requirements for food, energy, and water (FEW). However, limited knowledge of the scale-emergent dynamics and gaps between the decision-making and FEW-assessing scales have compromised sustainability research and policy development efforts. To meet the growing FEW demands associated with multiple Sustainable Development Goals (SDGs), it requires data and modeling advances on a manageable scale. In this session, we invite presentations that contribute but are not limited to 1) cross-scale data and model investigations to improve our understanding of the complex interrelationship among FEW components, 2) quantify and predict the impacts of natural and human drivers on the FEW sustainability in intensively managed landscapes, and 3) explore the socioeconomic constraints and policy incentives in addressing the cross-scale FEW issues. Studies that focus on at least two FEW components are encouraged.
Index Terms:

1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
1622 Earth system modeling [GLOBAL CHANGE]
1630 Impacts of global change [GLOBAL CHANGE]
1655 Water cycles [GLOBAL CHANGE]


Primary Convener:  Chaoqun Lu, Iowa State University, Ames, IA, United States
Conveners:  Hanqin Tian1, Shufen Pan1 and Ruiqing Miao2, (1)Auburn University, International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn, AL, United States(2)Auburn University, Agricultural Economics and Rural Sociology, Auburn, AL, United States
Primary Liaison:  Chaoqun Lu, Iowa State University, Ames, IA, United States