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SLU publication database (SLUpub) (stage, solr2:8984)

Abstract

With biodiversity loss escalating globally, a step change is needed in our capacity to accurately monitor species populations across ecosystems. Robotic and autonomous systems (RAS) ofer technological solutions that may substantially advance terrestrial biodiversity monitoring, but this potential is yet to be considered systematically. We used a modifed Delphi technique to synthesize knowledge from 98 biodiversity experts and 31 RAS experts, who identifed the major methodological barriers that currently hinder monitoring, and explored the opportunities and challenges that RAS ofer in overcoming these barriers. Biodiversity experts identifed four barrier categories: site access, species and individual identifcation, data handling and storage, and power and network availability. Robotics experts highlighted technologies that could overcome these barriers and identifed the developments needed to facilitate RAS-based autonomous biodiversity monitoring. Some existing RAS could be optimized relatively easily to survey species but would require development to be suitable for monitoring of more ‘difcult’ taxa and robust enough to work under uncontrolled conditions within ecosystems. Other nascent technologies (for instance, new sensors and biodegradable robots) need accelerated research. Overall, it was felt that RAS could lead to major progress in monitoring of terrestrial biodiversity by supplementing rather than supplanting existing methods. Transdisciplinarity needs to be fostered between biodiversity and RAS experts so that future ideas and technologies can be codeveloped efectively.

Published in

Nature ecology & evolution
2025

SLU Authors

UKÄ Subject classification

Robotics and automation
Ecology

Publication identifier

  • DOI: https://doi.org/10.1038/s41559-025-02704-9

Permanent link to this page (URI)

https://res.slu.se/id/publ/142011