Conceptual modeling for improved understanding of the Rio Grande/Río Bravo socio-environmental system
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Rio Grande/Río Bravo Basin
Socio-environmental systems
Interdisciplinary collaboration
Explanatory models for social processes

How to Cite

Koch, J., Friedman, J. R., Paladino, S., Plassin, S., & Spencer, K. (2019). Conceptual modeling for improved understanding of the Rio Grande/Río Bravo socio-environmental system. Socio-Environmental Systems Modelling, 1, 16127.


Social processes are essential components of human-environment systems and their dynamics. However, modeling a tightly coupled socio-environmental system over a large area and across wide social and environmental diversity presents several challenges, given the complexity of the interactions and their spatial heterogeneity. The transboundary Rio Grande/Río Bravo (RGB) Basin is an excellent case study to address these challenges. Water scarcity and over-allocation of water are present in a highly engineered system with extensive damming and a complex structure of agreements and compacts that govern the distribution of hydrological resources among users. Since no basin-wide approaches to modeling the RGB as a socio-environmental system exist, we attempt to close this gap. Building on data collected through extensive ethnographic fieldwork, we used a structured, collaborative, and integrative approach for documenting existing knowledge on and modeling of the RGB socio-environmental system. We assess different models for conceptualizing human behavior applied in the RGB, identify a need to redefine the (spatial) boundaries of the system and produce inductively generated knowledge about the interlinkages of social processes with environmental system components in the form of a semi-quantitative conceptual model. Our research demonstrates an alternative to ad-hoc approaches to defining “the social” in socio-environmental models and is a first step towards the development of a basin-wide computer simulation model of the RGB socio-environmental system.
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