Data-Driven Decision Making: Utilizing Big Data for Forest Health
摘要
Ecological systems and economic benefits and social institutions derive value from forests but environmental degradation now threatens them because of climate change together with deforestation and growing human activities. The influence that population dependence on forests together with land management systems and governmental controls has on forest environments is major. A comprehensive approach needs creation to build complete forest health management systems that combine natural science knowledge with social aspects. A combined Big Data structure aims to merge socioeconomic information systems with ecological and climatic information for forest health management purposes. Staff members in communities should use mobile apps and citizen science tools to help collect data so they can develop sustainable management solutions with the local stakeholders. The framework proves its suitability by being tested within a tropical rainforest region through a recent study. The framework uses satellite combined with socioeconomic information to recognize vulnerable areas and sets out sustainable use practices for land. This research shows that considering social economic elements during the process increases predictions while supporting ethical decision making. A comprehensive framework creates a connection between nature-based and human-based information to boost forest health management systems.