The Movebank system for studying global animal movement and demography

作者：Roland Kays, Sarah C. Davidson, Matthias Berger, Gil Bohrer, Wolfgang Fiedler, Andrea Flack, Julian Hirt, Clemens Hahn, Dominik Gauggel, B. R. Russell, Andrea Kölzsch, Ashley Lohr, Jesko Partecke, Michael Quetting, Kamran Safi, Anne K. Scharf, Gabriel Schneider, Ilona Lang, Friedrich Schaeuffelhut, Matthias Landwehr, Martin Storhas, Louis van Schalkwyk, Candace M. Vinciguerra, Rolf P. Weinzierl, Martin C. Wikelski · 发表于：Methods in Ecology and Evolution · 年份：2021 · DOI：10.1111/2041-210x.13767 · 被引用次数：239 · 研究领域：Species Distribution and Climate Change、Wildlife Ecology and Conservation、Avian ecology and behavior

Abstract Quantifying movement and demographic events of free‐ranging animals is fundamental to studying their ecology, evolution and conservation. Technological advances have led to an explosion in sensor‐based methods for remotely observing these phenomena. This transition to big data creates new challenges for data management, analysis and collaboration. We present the Movebank ecosystem of tools used by thousands of researchers to collect, manage, share, visualize, analyse and archive their animal tracking and other animal‐borne sensor data. Users add sensor data through file uploads or live data streams and further organize and complete quality control within the Movebank system. All data are harmonized to a data model and vocabulary. The public can discover, view and download data for which they have been given access to through the website, the Animal Tracker mobile app or by API. Advanced analysis tools are available through the EnvDATA System, the MoveApps platform and a variety of user‐developed applications. Data owners can share studies with select users or the public, with options for embargos, licenses and formal archiving in a data repository. Movebank is used by over 3,100 data owners globally, who manage over 6 billion animal location and sensor measurements across more than 6,500 studies, with thousands of active tags sending over 3 million new data records daily. These data underlie >700 published papers and reports. We present a case study demonstrating the...