Yang Xifu, Han Liliang, Wang Yong, Guo Cong, Zhang Zhibin
State Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Tsinghua -Qingdao Big Data Engineering Research Center, Qingdao, China.
Integr Zool. 2022 Nov;17(6):1121-1135. doi: 10.1111/1749-4877.12664. Epub 2022 Jun 24.
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.
利用传统方法揭示自然系统中动物多样性和丰度的实时时空变化具有挑战性。物联网、人工智能和大数据处理等新技术的迅速发展，为开发高效、准确监测动物生物多样性和种群丰度的新技术提供了机会。在本研究中，我们使用最近开发的名为“矢量智能监测系统（VIMS）”的智能动物监测系统，调查了中国西南部都江堰地区斑ruosi森林中小哺乳动物的实时多样性和丰度。为了将VIMS与传统方法进行比较，我们还使用有线活捉陷阱调查了小哺乳动物的多样性和丰度。与活捉陷阱相比，VIMS具有自动数据收集、物种智能识别、数据可视化、全天和全天候运行、对动物干扰小、实时监测等优点，并且能够发现更多的小哺乳动物物种。然而，与活捉陷阱相比，VIMS也有一些缺点，比如诱捕效率较低，且比活捉陷阱更昂贵。我们的结果表明，在监测小哺乳动物（尤其是稀有物种）多样性和丰度的实时时空变化方面，VIMS可以作为传统方法的一种补充方法。此外，VIMS在监测其他小型动物如小型食肉动物、鸟类、两栖动物和爬行动物方面也很有用。
