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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.; Ingram, Dan...

Authors

Stephen Pringle

Martin Dallimer

Mark A. Goddard

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

Daniel J. Ingram

George Jackson-Mills

Kelly Jowett

Edmund R. Hunt

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

Philip A. Stephens

P. J. Stephenson

Matthew J. Struebig

Matthew Studley

Martin Svátek

Gilbert Tang

Nicholas K. Taylor

Kate D. L. Umbers

Robert J. Ward

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 substantially advance terrestrial biodiversity monitoring, but this potential is yet to be considered systematically. We used a modified Delphi technique to synthesize knowledge from 98 biodiversity experts and 31 RAS experts, who identified the major methodological barriers that currently hinder monitoring, and explored the opportunities and challenges that RAS offer in overcoming these barriers. Biodiversity experts identified four barrier categories: site access, species and individual identification, data handling and storage, and power and network availability. Robotics experts highlighted technologies that could overcome these barriers and identified 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 ‘difficult’ 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 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. (2025). Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age. Nature Ecology & Evolution, 9(6), 1031-1042. https://doi.org/10.1038/s41559-025-02704-9

Journal Article Type Article
Acceptance Date Apr 7, 2025
Online Publication Date May 22, 2025
Publication Date Jun 1, 2025
Deposit Date May 23, 2025
Journal Nature Ecology & Evolution
Electronic ISSN 2397-334X
Publisher Nature Publishing Group
Peer Reviewed Peer Reviewed
Volume 9
Issue 6
Pages 1031-1042
DOI https://doi.org/10.1038/s41559-025-02704-9
Public URL http://researchrepository.napier.ac.uk/Output/4517629