Reviewing papers by others is a part of the game, checkout Orr's Publons profile for contributions as a reviewer or the Research Gate and Google Scholar profiles for publication list
Reviewing papers by others is a part of the game, checkout Orr's Publons profile for contributions as a reviewer or the Research Gate and Google Scholar profiles for publication list
Movement Ecology and Individual Behavior
Our rationale for the workshop and why its needed...
Our funders:
Over the last decade there is a rapidly growing attention to movement ecology, driven at least partially, by the development of new tools. Modern technologies allow scholars to track the space use, movements and moment-to-moment behavior of animals in nature. As transmitters get smaller and better, we are able to document animal location at unprecedented accuracy and ever-growing temporal resolution for species of various groups and environments. Despite the immense progress these complementary tools provide, the also bring along challenges associated with Big Data.
One of these emerging tracking solutions is the ATLAS (Advanced Tracking and Localization of Animals in real-life Systems). This cutting-edge system is designed to allow accurate and high resolution tracking of multiple individuals simultaneously, and to provide similar capacity to those of GPS tags, but at local scale and a cheaper cost. The ATLAS system comprises radio transmitters with unique tag-IDs, a set of ground stations with tower-mounted antennas, and central data-processing and storage servers. Ground stations (whose locations are known) receive animal-borne tag transmissions at ~0.1-1 Hz temporal resolution. Data is communicated to the central server where locations are calculated from the tag signals’ based on the principle of differential time of arrival. This reverse-GPS approach allows tags to be overall lighter and simpler than the alternative GPS tags, and consequently cheaper.
The data the system generates, however, is sometimes noisy and hard to filter, and often challenging in its shear volume and complexity. This highlights the need to share tools on the technical aspects of system establishment, maintenance and data processing. We aim to build a growing community of users, and highlight the need to communicate challenges and solutions associated with this and similar technologies, and to develop analytical tools for extracting more information from the data.