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基于图像的自动追踪及其在生态学中的应用。

Automated image-based tracking and its application in ecology.

机构信息

Systemic Conservation Biology, Department of Biology, Georg-August University Göttingen, Göttingen, Germany.

HasOffers Inc., 2220 Western Ave, Seattle, WA, USA.

出版信息

Trends Ecol Evol. 2014 Jul;29(7):417-28. doi: 10.1016/j.tree.2014.05.004. Epub 2014 Jun 5.

Abstract

The behavior of individuals determines the strength and outcome of ecological interactions, which drive population, community, and ecosystem organization. Bio-logging, such as telemetry and animal-borne imaging, provides essential individual viewpoints, tracks, and life histories, but requires capture of individuals and is often impractical to scale. Recent developments in automated image-based tracking offers opportunities to remotely quantify and understand individual behavior at scales and resolutions not previously possible, providing an essential supplement to other tracking methodologies in ecology. Automated image-based tracking should continue to advance the field of ecology by enabling better understanding of the linkages between individual and higher-level ecological processes, via high-throughput quantitative analysis of complex ecological patterns and processes across scales, including analysis of environmental drivers.

摘要

个体行为决定了生态相互作用的强度和结果,而这些相互作用又驱动了种群、群落和生态系统的组织。生物遥测等技术,如遥感和动物携带成像,提供了重要的个体视角、轨迹和生活史,但需要捕获个体,而且通常不切实际。最近自动化基于图像的跟踪技术的发展为远程定量和理解个体行为提供了机会,这些行为在以前是不可能的规模和分辨率,为生态学中的其他跟踪方法提供了重要的补充。自动化基于图像的跟踪应该通过高通量定量分析复杂的生态模式和过程,包括对环境驱动因素的分析,在各个尺度上更好地理解个体与更高层次生态过程之间的联系,从而继续推动生态学领域的发展。

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