| Literature DB >> 24908439 |
Anthony I Dell1, John A Bender2, Kristin Branson3, Iain D Couzin4, Gonzalo G de Polavieja5, Lucas P J J Noldus6, Alfonso Pérez-Escudero5, Pietro Perona7, Andrew D Straw8, Martin Wikelski9, Ulrich Brose10.
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.Keywords: automated image-based tracking; behavior; bio-logging; ecological interactions; tracking
Mesh:
Year: 2014 PMID: 24908439 DOI: 10.1016/j.tree.2014.05.004
Source DB: PubMed Journal: Trends Ecol Evol ISSN: 0169-5347 Impact factor: 17.712