Philson Conner, Ray Andrew, Foltz Sarah, Davis Jason
Department of Biology Radford University Radford Virginia.
Department of Information Technology Radford University Radford Virginia.
Ecol Evol. 2018 Dec 1;8(24):12522-12532. doi: 10.1002/ece3.4638. eCollection 2018 Dec.
Field studies seeking to identify interactions between the environment and behaviors of wild songbirds are often restricted by time, labor, and accessibility of the site; hampering the collection of long-term, high-resolution data. Here, we describe the development, utilization, and initial results of a long-term field study of wild songbird feeding patterns using data collected through an inexpensive microcomputer-controlled automated feeder. Our studies indicate the "smart feeder" is capable of reliable and accurate data collection on feeding and behavioral metrics over long durations with relation to a wide range of environmental conditions. This enables detailed analysis of songbird's environment-behavior interactions. Our results have identified trends in environment-behavior interactions, microhabitat variations, species-specific feeding profiles, and differences in the frequency and involvement of displacement events. Computerized feeders enabled us to address environment-behavior interactions, resulting in more detailed data than traditional observational methods. This reinforces conclusions from previous work regarding the potential for automated data collection to be adapted for a wide variety of research studies across the field of ethology.
旨在确定野生鸣禽的环境与行为之间相互作用的实地研究常常受到时间、人力以及研究地点可达性的限制;这妨碍了长期、高分辨率数据的收集。在此,我们描述了一项对野生鸣禽觅食模式进行长期实地研究的开展、应用及初步结果,该研究使用了通过廉价的微机控制自动喂食器收集的数据。我们的研究表明,“智能喂食器”能够在长时间内,针对广泛的环境条件,可靠且准确地收集有关觅食及行为指标的数据。这使得对鸣禽环境与行为相互作用的详细分析成为可能。我们的研究结果确定了环境与行为相互作用、微生境变化、物种特异性觅食特征以及替代事件的频率和参与度差异等方面的趋势。计算机化喂食器使我们能够研究环境与行为的相互作用,从而获得比传统观察方法更详细的数据。这强化了先前研究的结论,即自动数据收集有潜力应用于行为学领域的各种研究。