Biodiversity monitoring is essential for the conservation of biodiversity. Traditional methods of biodiversity monitoring are often time-consuming, costly, inefficient, and heavily influenced by human activity. These limitations hinder large-scale and long-term continuous monitoring, making it difficult to support the operational requirements and the goals of building a beautiful China. To address these challenges, this study proposes the concept of an intelligent biodiversity monitoring system, leveraging new equipment and advanced technologies. The system integrates ground-based and remote sensing monitoring, primarily utilizing passive survey equipment such as infrared cameras and audio recorders. It relies on cutting-edge technologies, including the Internet of Things (IoT), artificial intelligence (AI), and environmental DNA (eDNA), to achieve automated data collection and intelligent species identification. This system supports biodiversity surveys, monitoring, assessments, and early warning mechanisms. This paper summarizes the progress of the pilot project for the intelligent biodiversity monitoring system in Lishui City, Zhejiang Province. The project has successfully implemented intelligent monitoring of plants, mammals, birds, amphibians, reptiles, insects, and aquatic organisms. It provides practical case studies and theoretical support for the operational implementation of intelligent biodiversity monitoring systems.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |