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dc.contributorUniv Mayor, Fac Ciencias, Ctr Modelac & Monitoreo Ecosistemas, Chilees
dc.contributor.authorDobbs, Cynnamon [Univ Mayor, Fac Ciencias, Ctr Modelac & Monitoreo Ecosistemas, Chile]
dc.contributor.authorGoddard, Mark A.; Davies, Zoe G.; Guenat, Solene; Ferguson, Mark J.; Fisher, Jessica C. ; Akanni, Adeniran; Ahjokoski, Teija; Anderson, Pippin M. L.; Angeoletto, Fabio; Antoniou, Constantinos; Bates, Adam J.; Barkwith, Andrew; Berland, Adam; Bouch, Christopher J.; Rega-Brodsky, Christine C.; Byrne, Loren B.; Cameron, David; Canavan, Rory; Chapman, Tim; Connop, Stuart; Crossland, Steve; Dade, Marie C.; Dawson, David A.; Downs, Colleen T.; Ellis, Erle C.; Escobedo, Francisco J.; Gobster, Paul; Gulsrud, Natalie Marie; Guneralp, Burak; Hahs, Amy K.; Hale, James D.; Hassall, Christopher; Hedblom, Marcus; Hochuli, Dieter F.; Inkinen, Tommi; Loja, Loan-Cristian; Kendal, Dave; Knowland, Tom; Kowarik, Ingo; Langdale, Simon J.; Lerman, Susannah B.; MacGregor-Fors, Ian; Manning, Peter; Massini, Peter; McLean, Stacey; Mkwambisi, David D.; Ossola, Alessandro; Luque, Gabriel Perez; Perez-Urrestarazu, Luis; Perini, Katia; Perry, Gad; Pett, Tristan J.; Plummer, Kate E.; Radji, Raoufou A.; Roll, Uri; Potts, Simon G.; Rumble, Heather; Sadler, Jon P.; de Saille, Stevienna; Sautter, Sebastian; Scott, Catherine E.; Shwartz, Assaf; Smith, Tracy; Snep, Robbert P. H.; Soulsbury, Carl D.; Stanley, Margaret C.; Van de Voorde, Tim; Venn, Stephen J.; Warren, Philip H.; Washbourne, Carla-Leanne ; Whitling, Mark; Williams, Nicholas S. G.; Yang, Jun; Yeshitela, Kumelachew; Yocom, Ken P.; Dallimer, Martin
dc.date.accessioned2023-12-28T13:50:48Z
dc.date.available2023-12-28T13:50:48Z
dc.date.issued2021-01
dc.identifier.citationGoddard, M. A., Davies, Z. G., Guenat, S., Ferguson, M. J., Fisher, J. C., Akanni, A., ... & Dallimer, M. (2021). A global horizon scan of the future impacts of robotics and autonomous systems on urban ecosystems. Nature ecology & evolution, 5(2), 219-230.es
dc.identifier.issn2397-334X
dc.identifier.otherWOS: 000604843800003
dc.identifier.otherPMID: 33398104
dc.identifier.urihttps://repositorio.umayor.cl/xmlui/handle/sibum/9180
dc.identifier.urihttps://biblio.vub.ac.be/vubirfiles/97205640/67471199.pdf
dc.identifier.urihttps://iris.unige.it/bitstream/11567/1050092/1/Goddard%20et%20al%202020%20RAS%20horizon%20scan.pdf
dc.identifier.urihttps://nrl.northumbria.ac.uk/id/eprint/45193/1/Goddard%20RAS%20horizon%20scan%20accepted.pdf
dc.identifier.urihttps://nora.nerc.ac.uk/id/eprint/529567/1/Goddard%20RAS%20horizon%20scan%20FINAL%20Apr%202020%20update.pdf
dc.identifier.urihttps://centaur.reading.ac.uk/102658/1/Goddard%20RAS%20horizon%20scan%20FINAL%20Apr%202020%20update.pdf
dc.identifier.urihttps://irep.ntu.ac.uk/id/eprint/42091/1/1402161_Bates.pdf
dc.identifier.urihttps://pure.port.ac.uk/ws/portalfiles/portal/25521679/Goddard_RAS_horizon_scan_preprint.pdf
dc.identifier.urihttps://eprints.whiterose.ac.uk/169325/1/10229_2_merged_1603386780.pdf
dc.identifier.urihttps://eprints.lincoln.ac.uk/id/eprint/43682/1/10229_2_merged_1603386780.pdf
dc.identifier.urihttps://repository.uel.ac.uk/download/013746e01b7f498c5f1370aba70303cd180d5a0b1dd389ea0b2a0ee8774fd981/1263248/Goddard%20RAS%20horizon%20scan%20final%20version%20Sept%202020.pdf
dc.identifier.urihttps://kar.kent.ac.uk/85313/1/Goddard%20RAS%20horizon%20scan%20final%20version%20Sept%202020.pdf
dc.identifier.urihttps://irep.ntu.ac.uk/id/eprint/42091/1/1402161_Bates.pdf
dc.identifier.urihttp://pure-oai.bham.ac.uk/ws/portalfiles/portal/120813145/Goddard_RAS_horizon_scan_final_version_Sept_2020.pdf
dc.identifier.urihttps://doi-org.bibliotecadigital.umayor.cl:2443/10.1038/s41559-020-01358-z
dc.identifier.urihttps://doi.org/10.1038/s41559-020-01358-z
dc.description.abstractThe future challenges and potential opportunities of robotics and autonomous systems in urban ecosystems, and how they may impact biodiversity, are explored and prioritized via a global horizon scan of 170 experts. Technology is transforming societies worldwide. A major innovation is the emergence of robotics and autonomous systems (RAS), which have the potential to revolutionize cities for both people and nature. Nonetheless, the opportunities and challenges associated with RAS for urban ecosystems have yet to be considered systematically. Here, we report the findings of an online horizon scan involving 170 expert participants from 35 countries. We conclude that RAS are likely to transform land use, transport systems and human-nature interactions. The prioritized opportunities were primarily centred on the deployment of RAS for the monitoring and management of biodiversity and ecosystems. Fewer challenges were prioritized. Those that were emphasized concerns surrounding waste from unrecovered RAS, and the quality and interpretation of RAS-collected data. Although the future impacts of RAS for urban ecosystems are difficult to predict, examining potentially important developments early is essential if we are to avoid detrimental consequences but fully realize the benefits.es
dc.description.sponsorshipWe are grateful to all of the participants who took part in this study, and to J. Bentley for preparing the figures. This work was funded by the UK government's Engineering and Physical Sciences Research Council (grant EP/N010523/1: 'Balancing the Impact of City Infrastructure Engineering on Natural Systems using Robots'). Z.G.D. was funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (consolidator grant no. 726104).es
dc.format.extent21 p., PDFes
dc.language.isoen_USes
dc.publisherNATURE PORTFOLIOes
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chilees
dc.titleA global horizon scan of the future impacts of robotics and autonomous systems on urban ecosystemses
dc.typeArtículo o Paperes
umayor.indizadorCOTes
umayor.indexadoWeb of Sciencees
umayor.indexadoScopuses
umayor.indexadoPUBMEDes
dc.identifier.doi10.1038/s41559-020-01358-z
umayor.indicadores.wos-(cuartil)Q1
umayor.indicadores.scopus-(scimago-sjr)SCIMAGO/ INDICE H: 101
umayor.indicadores.scopus-(scimago-sjr)SJR 5,37


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