Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging.
PLOS BIOLOGY(2020)
摘要
Recent advances in animal tracking technology have ushered in a new era in biologging. However, the considerable size of many sophisticated biologging devices restricts their application to larger animals, whereas older techniques often still represent the state-of-the-art for studying small vertebrates. In industrial applications, low-power wireless sensor networks (WSNs) fulfill requirements similar to those needed to monitor animal behavior at high resolution and at low tag mass. We developed a wireless biologging network (WBN), which enables simultaneous direct proximity sensing, high-resolution tracking, and long-range remote data download at tag masses of 1 to 2 g. Deployments to study wild bats created social networks and flight trajectories of unprecedented quality. Our developments highlight the vast capabilities of WBNs and their potential to close an important gap in biologging: fully automated tracking and proximity sensing of small animals, even in closed habitats, at high spatial and temporal resolution.
更多查看译文
关键词
wireless biologging network (WBN),ultra-low power,automated animal tracking,proximity sensing,bats,terrestrial biologging
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络