Columbus

Ohio State University Researchers Launch ECODATA: New Open-Source Wildlife Tracking Tool to Aid Conservation Efforts

AI Assisted Icon
Published on October 07, 2025
Ohio State University Researchers Launch ECODATA: New Open-Source Wildlife Tracking Tool to Aid Conservation EffortsSource: A G on Unsplash

Ohio State University researchers have unveiled a new, open-source software designed to make a wildlife ecologist's life a tad bit easier. Dubbed ECODATA, the toolkit promises to effortlessly render complex wildlife tracking data into digestible animations, giving professionals a clearer understanding of animal movements in the wild. In a report published by Ohio State News, co-author Gil Bohrer explained the value of this technology. "We're not creating new information, but we are taking data that ecologists typically find hard to utilize and making it easy and accessible," Bohrer stated emphatically.

The software aims to directly assist by combining wildlife location observations with intricate remote sensing data to whip up customizable maps. In action, the software has proven invaluable. For instance, their work near Banff National Park animated the movements of elk and wolves, highlighting the complex interplay between these species and human infrastructures, as well as seasonal vegetation changes—a key insight for wildlife managers and conservationists.

One major convenience of ECODATA lies in its user-friendliness; no specialized programming skills are required to operate the toolkit. Lead author Justine Missik underscored this accessibility in her conversation with Ohio State News. "There are all sorts of environmental datasets that are out there that are difficult for people to work with," Missik said. "Our project was helping address those research gaps."

ECODATA has already demonstrated its potential to aid significantly in wildlife management. Animations generated using this new tool have allowed wildlife managers to more accurately track caribou movements during birthing seasons, according to the research's case studies. Revealing previously unnoticed aspects of these movements has clear implications for conservation efforts. Indeed, these visual tools might quickly become integral in crafting informed, sustainable policies for wildlife protection. "These animations are tools to explore the data in a different way, by many different users in many different contexts," Bohrer told Ohio State News.

Looking ahead, the developers hope their animated insights will not only complement but also inspire more comprehensive and impactful eco-scientific explorations. The collective hope is to enhance existing methods and foster the development of sustainable strategies in ecological management. This project received backing from NASA and the MathWorks MATLAB Community Toolbox Program, with contributions from various experts from the University of Montana, the Government of Northwest Territories in Canada, the University of Minnesota, North Carolina State University, the North Carolina Museum of Natural Sciences, and the Government of the Yukon in Canada.