Understanding Hydrologic, Human, and Climate System Feedback Loops: Results of a Participatory Modeling Workshop

Author:

Rajah Jefferson K.1ORCID,Atkins Ashley E. P.2,Tang Christine34ORCID,Bax Kathelijne1,Wilkerson Brooke156,Fernald Alexander G.3,Langarudi Saeed P.1ORCID

Affiliation:

1. System Dynamics Group, Department of Geography, University of Bergen, 5020 Bergen, Norway

2. West Big Data Innovation Hub, University of California, Berkeley, CA 94720, USA

3. New Mexico Water Resources Research Institute, New Mexico State University, Las Cruces, NM 88003, USA

4. Social Science and Policy Studies Department, Worcester Polytechnic Institute, Worcester, MA 01609, USA

5. Centre for Climate and Energy Transformation, University of Bergen, 5020 Bergen, Norway

6. Norwegian Research Centre (NORCE), 5008 Bergen, Norway

Abstract

Groundwater depletion threatens global freshwater resources, necessitating urgent water management and policies to meet current and future needs. However, existing data-intensive approaches to assessments do not fully account for the complex human, climate, and water interactions within transboundary groundwater systems. Here, we present the design of and findings from a pilot participatory modeling workshop aiming to advance understanding of the hydrologic–human–climate feedback loops underpinning groundwater systems. Using participatory modeling tools and methods from the system dynamics tradition, we captured the mental models of researchers from water, social, data, and systems sciences. A total of 54 feedback loops were identified, demonstrating the potential of this methodology to adequately capture the complexity of groundwater systems. Based on the workshop outcomes, as an illustrative example, we discuss the value of participatory system modeling as a conceptualization tool, bridging perspectives across disciplinary silos. We further discuss how outcomes may inform future research on existing knowledge gaps around groundwater issues, and in doing so, advance interdisciplinary, use-inspired research for water decision-making more broadly.

Funder

National Science Foundation

Publisher

MDPI AG

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