- GC24D: Human-Nature System Interactions Under a Sustainable Future: Concepts, Modeling, and Application I Oral
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NOLA CC
Primary Convener:Generic 'disconnected' Message
Xin Zhao, University of Maryland College Park
Convener:
Adam Daigneault, University of Maine
Eva Sinha, Stanford University
Christopher Reyer, Potsdam Institute for Climate Impact Research
Early Career Convener:
Meng Luo, University of Wisconsin Madison
Chair:
Meng Luo, University of Wisconsin Madison
Adam Daigneault, University of Maine
Eva Sinha, Stanford University
Xin Zhao, Pacific Northwest National Laboratory, Joint Global Change Research Institute
Human and natural systems are deeply interconnected, shaping each other in complex and dynamic ways. As both systems continue to co-evolve, increasing demands on the human system (e.g., food, energy) and accelerating Earth system changes (e.g., temperature and precipitation changes, extreme events), pose significant challenges and opportunities for sustainably managing resources and ecosystem services. Understanding their interactions and co-development is essential for informing actionable and effective policy decisions to maintain the sustainable management of the natural system. This session highlights the importance of transdisciplinary approaches to studying coupled human-nature systems. We welcome contribution from diverse disciplines on advances in:1. Novel representation of one-way coupling between human and natural systems;2. Innovative multi-scale, multi-sector, two-way modeling of coupled human-nature system dynamics;3. Develop, test, and analyze scenarios for potential solutions to a sustainable future;4. Insights on future research directions and strategies for sustaining both human well-being and natural environment.
Index Terms
0468 Natural hazards
1622 Earth system modeling
1630 Impacts of global change
1632 Land cover change
Suggested Itineraries:
Science Communications
Global Impacts‚ Solutions‚ & Policies
Neighborhoods:
3. Earth Covering
Scientific DisciplineSuggested ItinerariesNeighborhoodTypeWhere to Watch
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