Details

Autor(en) / Beteiligte

• Dell, Anthony I.
• Bender, John A.
• Branson, Kristin
• Couzin, Iain D.
• de Polavieja, Gonzalo G.
• Noldus, Lucas P.J.J.
• Pérez-Escudero, Alfonso
• Perona, Pietro
• Straw, Andrew D.
• Wikelski, Martin
• Brose, Ulrich

Titel

Automated image-based tracking and its application in ecology

Ist Teil von

• Trends in ecology & evolution (Amsterdam), 2014-07, Vol.29 (7), p.417-428

Ort / Verlag

Kidlington: Elsevier Ltd

Erscheinungsjahr

2014

Link zum Volltext

Quelle

Elsevier ScienceDirect Journals Complete

Beschreibungen/Notizen

• •Individual behavior is integral to the organization of ecological systems.•Automated image-based tracking offers novel opportunities to study behavior.•Tracking data allows linking individual to higher-level ecological processes.•A diverse range of taxa have now been tracked in a variety of habitats.•Automated image-based tracking has an important role in ecology. 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.