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.
Original language | English |
---|---|
Pages (from-to) | 1031-1042 |
Number of pages | 12 |
Journal | Nature Ecology & Evolution |
Volume | 9 |
Issue number | 6 |
Early online date | 22 May 2025 |
DOIs | |
Publication status | Published - Jun 2025 |
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- 10.1038/s41559-025-02704-9Licence: CC BY
- Opportunities and challenges for monitoring terrestrial biodiversity in the robotics ageFinal published version, 7.55 MBLicence: CC BY
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In: Nature Ecology & Evolution, Vol. 9, No. 6, 06.2025, p. 1031-1042.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age
AU - Pringle, Stephen
AU - Dallimer, Martin
AU - Goddard, Mark A.
AU - Le Goff, Léni K.
AU - Hart, Emma
AU - Langdale, Simon J.
AU - Fisher, Jessica C.
AU - Abad, Sara Adela
AU - Ancrenaz, Marc
AU - Angeoletto, Fabio
AU - Auat Cheein, Fernando
AU - Austen, Gail E.
AU - Bailey, Joseph J.
AU - Baldock, Katherine C. R.
AU - Banin, Lindsay F.
AU - Banks-Leite, Cristina
AU - Barau, Aliyu S.
AU - Bashyal, Reshu
AU - Bates, Adam J.
AU - Bicknell, Jake E.
AU - Bielby, Jon
AU - Bosilj, Petra
AU - Bush, Emma R.
AU - Butler, Simon J.
AU - Carpenter, Dan
AU - Clements, Christopher F.
AU - Cully, Antoine
AU - Davies, Kendi F.
AU - Deere, Nicolas J.
AU - Dodd, Michael
AU - Drinkwater, Rosie
AU - Driscoll, Don A.
AU - Dutilleux, Guillaume
AU - Dyrmann, Mads
AU - Edwards, David P.
AU - Farhadinia, Mohammad S.
AU - Faruk, Aisyah
AU - Field, Richard
AU - Fletcher, Robert J.
AU - Foster, Chris W.
AU - Fox, Richard
AU - Francksen, Richard M.
AU - Franco, Aldina M. A.
AU - Gainsbury, Alison M.
AU - Gardner, Charlie J.
AU - Giorgi, Ioanna
AU - Griffiths, Richard A.
AU - Hamaza, Salua
AU - Hanheide, Marc
AU - Hayward, Matt W.
AU - Hedblom, Marcus
AU - Helgason, Thorunn
AU - Heon, Sui P.
AU - Hughes, Kevin A.
AU - Hunt, Edmund R.
AU - Ingram, Daniel J.
AU - Jackson-Mills, George
AU - Jowett, Kelly
AU - Keitt, Timothy H.
AU - Kloepper, Laura N.
AU - Kramer-Schadt, Stephanie
AU - Labisko, Jim
AU - Labrosse, Frédéric
AU - Lawson, Jenna
AU - Lecomte, Nicolas
AU - de Lima, Ricardo F.
AU - Littlewood, Nick A.
AU - Marshall, Harry H.
AU - Masala, Giovanni L.
AU - Maskell, Lindsay C.
AU - Matechou, Eleni
AU - Mazzolai, Barbara
AU - McConnell, Alistair
AU - Melbourne, Brett A.
AU - Miriyev, Aslan
AU - Nana, Eric Djomo
AU - Ossola, Alessandro
AU - Papworth, Sarah
AU - Parr, Catherine L.
AU - Payo-Payo, Ana
AU - Perry, Gad
AU - Pettorelli, Nathalie
AU - Pillay, Rajeev
AU - Potts, Simon G.
AU - Prendergast-Miller, Miranda T.
AU - Qie, Lan
AU - Rolley-Parnell, Persie
AU - Rossiter, Stephen J.
AU - Rowcliffe, Marcus
AU - Rumble, Heather
AU - Sadler, Jon P.
AU - Sandom, Christopher J.
AU - Sanyal, Asiem
AU - Schrodt, Franziska
AU - Sethi, Sarab S.
AU - Shabrani, Adi
AU - Siddall, Robert
AU - Smith, Simón C.
AU - Snep, Robbert P. H.
AU - Soulsbury, Carl D.
AU - Stanley, Margaret C.
AU - Stephens, Philip A.
AU - Stephenson, P. J.
AU - Struebig, Matthew J.
AU - Studley, Matthew
AU - Svátek, Martin
AU - Tang, Gilbert
AU - Taylor, Nicholas K.
AU - Umbers, Kate D. L.
AU - Ward, Robert J.
AU - White, Patrick J. C.
AU - Whittingham, Mark J.
AU - Wich, Serge
AU - Williams, Christopher D.
AU - Yakubu, Ibrahim B.
AU - Yoh, Natalie
AU - Zaidi, Syed A. R.
AU - Zmarz, Anna
AU - Zwerts, Joeri A.
AU - Davies, Zoe G.
N1 - Acknowledgements; We thank all questionnaire and workshop participants. In particular, we remember Professor Ibrahim B. Yakubu, who played a full part in the questionnaire and workshop stages but sadly passed away midway through the evolution of this manuscript. Data availability statement: The anonymized dataset generated and analysed during this study is available via the University of Kent Data Repository at https://doi.org/10.22024/UniKent/01.01.546. Funding information: This work was funded by the EPSRC UK-RAS Network. D.J.I. is funded by a UK Research and Innovation Future Leaders Fellowship (grant ref: MR/W006316/1), and Z.G.D. and J.C.F. were supported by Research England's 'Expanding Excellence in England' fund. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.
PY - 2025/6
Y1 - 2025/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=105005991820&partnerID=8YFLogxK
U2 - 10.1038/s41559-025-02704-9
DO - 10.1038/s41559-025-02704-9
M3 - Article
AN - SCOPUS:105005991820
SN - 2397-334X
VL - 9
SP - 1031
EP - 1042
JO - Nature Ecology & Evolution
JF - Nature Ecology & Evolution
IS - 6
ER -