Designing a Data-Driven Ecological Governance Framework for the Value Chain of Rangeland Medicinal Plants in Iran

Zare Chahouki, Mohammad Ali

doi:10.22059/jnrg.2026.420138.1125

Designing a Data-Driven Ecological Governance Framework for the Value Chain of Rangeland Medicinal Plants in Iran

Document Type : Original Article

Author

Mohammad Ali Zare Chahouki

Department of Reclamation of Arid and Mountainous Regions, Faculty of Natural Resources, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.

10.22059/jnrg.2026.420138.1125

Abstract

Objective: Rangeland medicinal plants constitute vital natural capital in Iran, contributing significantly to biodiversity, public health, and the bioeconomy. Despite this potential, the value chain is plagued by unsustainable exploitation, fragmented institutional responsibilities, weak data governance, and an absence of integrated information systems. This study aimed to design an applied, data-driven ecological governance framework for the rangeland medicinal plant value chain in Iran, designed to reconcile ecosystem conservation with industrial efficiency.
Method: A qualitative research approach was adopted, encompassing a systematic review of scientific literature, a rigorous analysis of upstream policy documents and international benchmarking, and a thematic content analysis of insights derived from 25 subject-matter experts. The governance system’s key components were identified, categorized, and integrated into a unified architectural model.
Results: The proposed framework comprises five core dimensions: ecological governance, data governance, value chain governance, institutional governance, and digital technology infrastructure. These dimensions are interconnected through a multilayered architecture that incorporates a national data platform, advanced digital technologies (e.g., GIS, IoT, AI, blockchain, and digital product passports), and a continuous monitoring and policy-adjustment feedback loop. This framework enables evidence-based decision-making, precise ecological management, and robust product traceability.
Conclusions: Ultimately, the findings demonstrate that establishing this framework can enhance institutional coordination, protect natural capital, and strengthen competitiveness. It provides a practical, evidence-based roadmap for smart governance, thereby facilitating the sustainable development of the rangeland medicinal plant sector in Iran.

Keywords

Data Governance

Digital Technologies

Ecological Governance

Ecosystem-Based Management

Rangeland Medicinal Plants

Value Chain

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