Stephen Pringle
Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age
Pringle, Stephen; Dallimer, Martin; Goddard, Mark A.; Le Goff, Léni K.; Hart, Emma; Langdale, Simon J.; Fisher, Jessica C.; Abad, Sara-Adela; Ancrenaz, Marc; Angeoletto, Fabio; Auat Cheein, Fernando; Austen, Gail E.; Bailey, Joseph J.; Baldock, Katherine C. R.; Banin, Lindsay F.; Banks-Leite, Cristina; Barau, Aliyu S.; Bashyal, Reshu; Bates, Adam J.; Bicknell, Jake E.; Bielby, Jon; Bosilj, Petra; Bush, Emma R.; Butler, Simon J.; Carpenter, Dan; Clements, Christopher F.; Cully, Antoine; Davies, Kendi F.; Deere, Nicolas J.; Dodd, Michael; Drinkwater, Rosie; Driscoll, Don A.; Dutilleux, Guillaume; Dyrmann, Mads; Edwards, David P.; Farhadinia, Mohammad S.; Faruk, Aisyah; Field, Richard; Fletcher, Robert J.; Foster, Chris W.; Fox, Richard; Francksen, Richard M.; Franco, Aldina M. A.; Gainsbury, Alison M.; Gardner, Charlie J.; Giorgi, Ioanna; Griffiths, Richard A.; Hamaza, Salua; Hanheide, Marc; Hayward, Matt W.; Hedblom, Marcus; Helgason, Thorunn; Heon, Sui P.; Hughes, Kevin A.; Hunt, Edmun...
Authors
Martin Dallimer
Mark A. Goddard
Léni K. Le Goff
Emma Hart
Simon J. Langdale
Jessica C. Fisher
Sara-Adela Abad
Marc Ancrenaz
Fabio Angeoletto
Fernando Auat Cheein
Gail E. Austen
Joseph J. Bailey
Katherine C. R. Baldock
Lindsay F. Banin
Cristina Banks-Leite
Aliyu S. Barau
Reshu Bashyal
Adam J. Bates
Jake E. Bicknell
Jon Bielby
Petra Bosilj
Emma R. Bush
Simon J. Butler
Dan Carpenter
Christopher F. Clements
Antoine Cully
Kendi F. Davies
Nicolas J. Deere
Michael Dodd
Rosie Drinkwater
Don A. Driscoll
Guillaume Dutilleux
Mads Dyrmann
David P. Edwards
Mohammad S. Farhadinia
Aisyah Faruk
Richard Field
Robert J. Fletcher
Chris W. Foster
Richard Fox
Richard M. Francksen
Aldina M. A. Franco
Alison M. Gainsbury
Charlie J. Gardner
Ioanna Giorgi
Richard A. Griffiths
Salua Hamaza
Marc Hanheide
Matt W. Hayward
Marcus Hedblom
Thorunn Helgason
Sui P. Heon
Kevin A. Hughes
Edmund R. Hunt
Daniel J. Ingram
George Jackson-Mills
Kelly Jowett
Timothy H. Keitt
Laura N. Kloepper
Stephanie Kramer-Schadt
Jim Labisko
Frédéric Labrosse
Jenna Lawson
Nicolas Lecomte
Ricardo F. de Lima
Nick A. Littlewood
Harry H. Marshall
Giovanni L. Masala
Lindsay C. Maskell
Eleni Matechou
Barbara Mazzolai
Alistair McConnell
Brett A. Melbourne
Aslan Miriyev
Eric Djomo Nana
Alessandro Ossola
Sarah Papworth
Catherine L. Parr
Ana Payo-Payo
Gad Perry
Nathalie Pettorelli
Rajeev Pillay
Simon G. Potts
Miranda T. Prendergast-Miller
Lan Qie
Persie Rolley-Parnell
Stephen J. Rossiter
Marcus Rowcliffe
Heather Rumble
Jon P. Sadler
Christopher J. Sandom
Asiem Sanyal
Franziska Schrodt
Sarab S. Sethi
Adi Shabrani
Robert Siddall
Simón C. Smith
Robbert P. H. Snep
Carl D. Soulsbury
Margaret C. Stanley
Professor Philip Stephens philip.stephens@durham.ac.uk
Professor
P. J. Stephenson
Matthew J. Struebig
Matthew Studley
Martin Svátek
Gilbert Tang
Nicholas K. Taylor
Kate D. L. Umbers
Robert J. Ward
Patrick J. C. White
Mark J. Whittingham
Serge Wich
Christopher D. Williams
Ibrahim B. Yakubu
Natalie Yoh
Syed A. R. Zaidi
Anna Zmarz
Joeri A. Zwerts
Zoe G. Davies
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) offer technological solutions that may significantly advance terrestrial biodiversity monitoring, but this potential is yet to be considered systematically. We used a modified Delphi technique to synthesise knowledge from 98 biodiversity and 31 RAS experts who identified the major methodological barriers that currently hinder monitoring, and explored the opportunities and challenges that RAS offer to overcome these barriers. Biodiversity experts identified four barrier categories: site access, species/individual identification, data handling/storage and power/network availability. Robotics experts highlighted technologies that could overcome these barriers and identified the developments needed to facilitate RAS-basedAUtonomous biodiversity monitoring. Some existing RAS could be optimised relatively easily to survey species, but would require development to monitor more ‘difficult’ taxa and be robust enough to work in uncontrolled conditions within ecosystems. Other nascent technologies (e.g., novel sensors, biodegradable robots) need accelerated research. Overall, it was felt that RAS could lead to major progress in monitoring terrestrial biodiversity by supplementing, rather than supplanting, existing methods. Transdisciplinarity needs to be fostered between biodiversity and RAS experts, so future ideas and technologies can be co-developed effectively.
Citation
Pringle, S., Dallimer, M., Goddard, M. A., Le Goff, L. K., Hart, E., Langdale, S. J., Fisher, J. C., Abad, S.-A., Ancrenaz, M., Angeoletto, F., Auat Cheein, F., Austen, G. E., Bailey, J. J., Baldock, K. C. R., Banin, L. F., Banks-Leite, C., Barau, A. S., Bashyal, R., Bates, A. J., Bicknell, J. E., …Davies, Z. G. (in press). Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age. Nature Ecology and Evolution,
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 7, 2025 |
Deposit Date | Apr 23, 2025 |
Journal | Nature Ecology and Evolution |
Electronic ISSN | 2397-334X |
Publisher | Nature Research |
Peer Reviewed | Peer Reviewed |
Public URL | https://durham-repository.worktribe.com/output/3797044 |
Publisher URL | https://www.nature.com/natecolevol/ |
This file is under embargo due to copyright reasons.
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