Revealing the real-time diversity and abundance of small mammals by using an Intelligent Animal Monitoring System (IAMS)

It is challenging to reveal the real-time spatio-temporal change of diversity and abundance of animals in natural systems by using traditional methods. The rapid advancement of new technologies such as the Internet of Things, artificial intelligence, and big-data processing, provide opportunities for developing novel technologies for monitoring biodiversity and population abundance of animals with high efficacy and accuracy. In this study, by using a recently developed Intelligent Animal Monitoring System, named Vector Intelligent Monitoring System (VIMS), we investigated the real-time diversity and abundance of small mammals in the Banruosi forest, Dujiangyan region, southwest China. To make a comparison of the VIMS with traditional methods, we also surveyed the diversity and abundance of small mammals using wired live traps. Compared to live traps, the VIMS has several advantages such as automatic data collection, intelligent identification of species, data visualization, whole-day and all-weather operation, little disturbance to animals, real-time monitoring, and is capable of revealing more small mammal species. However, the VIMS also has several disadvantages over live traps such as lower trapping efficiency and being more expensive than live traps. Our results suggest that the VIMS can be a complementary method to traditional ones in monitoring the real-time spatio-temporal change of diversity and abundance of small mammals (especially rare species). In addition, the VIMS is useful in monitoring other small animals like small carnivores, birds, amphibians, and reptiles.

Automated summary

By utilizing the Vector Intelligent Monitoring System (VIMS), we can monitor and compare the diversity and abundance of small mammals in the Banruosi forest in real-time. VIMS has many advantages over traditional methods, but also has some disadvantages. The results suggest that VIMS can complement traditional methods in monitoring real-time spatio-temporal changes in small mammal diversity and abundance, and can be useful for monitoring other small animals.