环境DNA
无人机
采样(信号处理)
树(集合论)
环境科学
地理
生物
生态学
计算机科学
数学
生物多样性
植物
计算机视觉
数学分析
滤波器(信号处理)
作者
Steffen Kirchgeorg,Jia Jin Marc Chang,Yin Cheong Aden Ip,Meret Jucker,Christian Geckeler,Martina N. Lüthi,Enrico van der Loo,Elvira Mächler,Nicolás D. Franco‐Sierra,Mercedes Herrera,Loïc Pellissier,Kristy Deiner,Andrea Desiderato,Stefano Mintchev
标识
DOI:10.1021/acs.est.4c05595
摘要
Environmental DNA (eDNA) analysis is a powerful tool for studying biodiversity in forests and tree canopies. However, collecting representative eDNA samples from these high and complex environments remains challenging. Traditional methods, such as surface swabbing or tree rolling, are labor-intensive and require significant effort to achieve adequate coverage. This study proposes a novel approach for unmanned aerial vehicles (UAVs) to collect eDNA within tree canopies by using a surface swabbing technique. The method involves lowering a probe from a hovering UAV into the canopy and collecting eDNA as it descends and ascends through branches and leaves. To achieve this, a custom-designed robotic system was developed featuring a winch and a probe for eDNA collection. The design of the probe was optimized, and a control logic for the winch was developed to reduce the risk of entanglement while ensuring sufficient interaction force to facilitate transfer of eDNA onto the probe. The effectiveness of this method was demonstrated during the XPRIZE Rainforest Semi-Finals as 10 eDNA samples were collected from the rainforest canopy, and a total of 152 molecular operational taxonomic units (MOTUs) were identified using eDNA metabarcoding. We further investigate how the number of probe interactions with vegetation, the penetration depth, and the sampling duration influence the DNA concentration and community composition of the samples.
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