A machine learning approach for optimizing the water-energy-food-ecosystem nexus: a resilience perspective for sustainability

López-Flores, Francisco Javier; Sánchez-Zarco, Xate Geraldine; Rubio-Castro, Eusiel; Ponce-Ortega, José María

doi:10.1007/s10668-023-04257-y

Cited by 2 publications

(1 citation statement)

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“…Moreover, the role of CFMs extends beyond simple data representation; they are instrumental in offering clear, visual insights into dynamic environmental systems. Their application is critical in informing policy decisions, promoting sustainable practices, and upgrading the overall understanding of key environmental interactions, thus playing a vital role in effectively navigating and managing the complexities of the WEF nexus [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Water Energy Food Nexus in Urbanizing Wetlands: Challenges and Solutions Explored through Choremes and Focus Maps

Balaican,

Teubner,

Tudor

et al. 2024

Water

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Addressing complex interactions within water, energy, and food (WEF) resources, innovative tools for in-depth analysis and decision-making are imperative. This study introduces chorematic focus maps (CFMs) as a groundbreaking method to visualize and tackle the WEF nexus’s complexities, focusing specifically on the Danube Delta Biosphere Reserve (DDBR). By merging geospatial analysis with on-site validation, this research reveals intricate interdependencies within the nexus and positions CFMs as an effective tool for stakeholders. This study adopts a methodological approach that focuses on identifying human activities and evaluating their impacts on the WEF nexus, with the goal of developing practical and grounded strategies for managing these essential resources. By testing this approach within the DDBR, the potential for wider application is demonstrated, offering a promising framework for addressing similar socio-environmental challenges across various regions. Future research directions include refining CFMs’ precision and practicality through extended fieldwork and stakeholder engagement, testing the framework’s adaptability across various locations and nexus dynamics. Additionally, incorporating cutting-edge technologies such as machine learning could provide deeper insights and reinforce CFMs’ role in decision support for the WEF nexus. Conclusively, this investigation into the WEF nexus through CFMs emphasizes the critical need for strategies that navigate the complexities of environmental management and resource optimization, marking CFMs as a significant tool for both decision-makers and researchers.

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Section: Introductionmentioning

confidence: 99%