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Showing posts with the label Dryland Knowledge Graph

Arid Adaptive Foods (AAF)

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  Rethinking Future Nutrition Through Dryland Ecological Intelligence For decades, global nutrition science has largely focused on food systems built around water-intensive agriculture, industrial productivity, and high-yield farming models. Most mainstream nutritional frameworks evolved in environments where water availability, temperate climates, and industrial agricultural infrastructure shaped the understanding of food security and human nutrition. Yet the planet is rapidly entering an era defined by climate instability, rising temperatures, ecological stress, groundwater depletion, desertification, and increasing pressure on conventional agricultural systems. As these pressures intensify, an important scientific and ecological question emerges: What kinds of foods naturally evolved to survive under environmental extremes long before industrial agriculture existed? This question opens the door to a potentially important but underexplored nutritional framework: Arid Adaptive Foo...

Desert Knowledge Graph (DKG) for drylands survival Nutrition & Ecological intelligence

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 Desert Knowledge Graph: A System-Level Framework for Dryland Survival, Nutrition, and Ecological Intelligence By Vinod Banjara | Independent Desert Superfood Researcher Introduction: Reframing Drylands as Knowledge Systems Drylands cover nearly 40% of the Earth’s terrestrial surface and support billions of people, yet they remain among the most misunderstood and undervalued ecological regions in global scientific and nutritional discourse. Historically framed through the lens of scarcity, deserts have often been reduced to narratives of limitation—low rainfall, harsh climates, and fragile livelihoods. However, this perspective fails to capture the deeper reality: drylands are not empty systems, but highly adaptive, knowledge-rich ecosystems shaped by millennia of ecological intelligence and human survival. This article introduces the Desert Knowledge Graph (DKG)—a structured, system-level framework designed to organize, connect, and interpret dryland knowledge across ecological, n...