Commercial Innovative Practices: New Technologies for Dynamic Monitoring of Biodiversity in Ecotourism Destinations

Fu Maozheng
Hainan Vocational University of Science and Technology, Haikou, 571126, China
Huang Zhangzhong
Hainan Vocational University of Science and Technology, Haikou, 571126, China

Abstract:

With the vigorous development of ecotourism, how to achieve a dynamic balance between resource development and ecological protection has become a global challenge. Traditional monitoring methods are difficult to meet the needs of refined monitoring of complex ecosystems such as tropical rainforests due to their low efficiency, delayed data updates, and insufficient spatial coverage. This study takes the National Park of Hainan Tropical Rainforest as a pilot and innovatively constructs a multi-level collaborative “air-space-ground” integrated dynamic monitoring network. By integrating high-resolution satellite remote sensing data, IoT (Internet of Things) sensor node clusters, and deep learning-driven image recognition algorithms, real-time perception and intelligent analysis of the distribution of plant and animal populations, environmental parameter fluctuations, and the impact of human activities are achieved. The study breaks through the spatiotemporal resolution limitations of traditional monitoring and solves core problems such as heterogeneous data integration and response delay. Empirical results show that multi-source data fusion technology significantly reduces monitoring errors, with a comprehensive error of the Normalized Difference Vegetation Index (NDVI) of 0.02±0.005, and successfully warned of vegetation degradation hotspots in the core area. This system not only provides a precise decision-making tool for Hainan rainforest ecological management, but also explores a feasible path for coordinated optimization of development and protection through dynamic regulation of tourist density and habitat restoration intervention.