Embraces science-backed solutions to enhance the ecological function of forests and rangelands while producing more efficient operations such as genetics-based innovations, automated nurseries, climate-adapted native seed supply, and nature-based solutions (NbS). An example of NbS is targeted grazing to reduce wildfire hazard.
Uses advanced technologies to optimize management efforts, including digital inventories, automated harvesting/planting/seeding, and virtual fencing and herding.
Involves the use of tools and technology to collect decision data for site-specific management, including novel sensors and edge devices leading to better planning, production value, and environmental resilience.
Uses data-driven predictive analytics and Artificial Intelligence (AI) to create increased efficiencies for development of management and restoration plans for disaster risk and resilience.
Data will inform industries supporting products, tools, and services such as standard operating procedures, educational materials, and academic publications through a central knowledge institute.
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