Emerging technologies revolutionise insect ecology and monitoring

Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

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  • Roel van Klink
  • Tom August
  • Yves Bas
  • Paul Bodesheim
  • Aletta Bonn
  • Frode Fossøy
  • Toke T. Høye
  • Eelke Jongejans
  • Myles H. M. Menz
  • Andreia Miraldo
  • Tomas Roslin
  • Helen E. Roy
  • Ireneusz Ruczyński
  • Dmitry Schigel
  • Livia Schäffler
  • Georg F. Tschan
  • Jana Wäldchen
  • Vera M. A. Zizka
  • Jens Åström
  • Diana E. Bowler

Insects are the most diverse group of animals on Earth, but their small size and high diversity have always made them challenging to study. Recent technological advances have the potential to revolutionise insect ecology and monitoring. We describe the state of the art of four technologies (computer vision, acoustic monitoring, radar, and molecular methods), and assess their advantages, current limitations, and future potential. We discuss how these technologies can adhere to modern standards of data curation and transparency, their implications for citizen science, and their potential for integration among different monitoring programmes and technologies. We argue that they provide unprecedented possibilities for insect ecology and monitoring, but it will be important to foster international standards via collaboration.

OriginalsprogEngelsk
TidsskriftTrends in Ecology and Evolution
Vol/bind37
Udgave nummer10
Sider (fra-til)872-885
Antal sider14
ISSN0169-5347
DOI
StatusUdgivet - 2022

Bibliografisk note

Funding Information:
The workshop that this review resulted from, and part of the open access costs were funded by the Volkswagen Stiftung to D.E.B. and R.v.K. R.v.K., A.B., and D.E.B. also acknowledge support by iDiv funded by the German Research Foundation ( DFG-FZT 118 , 202548816 ), in particular the sMon project for A.B. and D.E.B. A.B. also acknowledges funding by EU Horizon 2020 Coordination and Support Action [Grant agreement No. 101003553 (EuropaBON)]. The Leibniz Institute for the Analysis of Biodiversity Change and consortium partners acknowledge funding of INPEDIV by the Leibniz Association (project K120/2018 ) and of DINA by the German Federal Ministry of Education and Research (BMBF) ( FKZ 16LC1901G ). The members of the AMMOD Team would like to thank the German Federal Ministry of Education and Research ( BMBF ) for financing the project ( FKZ 16LC1903A ). T.T.H. was funded by the EU Horizon 2020 Research and Innovation programme [Grant Agreement no. 773554 (EcoStack)]. E.J. was funded by Dutch Research Council grant NWA.1331.19.005 . F.F., J.C., and J.Å. were funded by the Norwegian environmental agency (ref: 18087129 - 2018/5765 ). M.H.M.M. was funded by the Horizon 2020 Marie Skłodowska-Curie grant agreement no. 795568 . I.R. was funded by the Polish National Science Centre ( DEC-2013/10/E/ NZ8/00725 ). A.M. was funded by the Knut and Alice Wallenberg Foundation (KAW 2017.0088 ). H.E.R. was funded by the UK Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme Delivering National Capability. T.R. was funded by the European Research Council Synergy Grant ( 856506 – LIFEPLAN) and a Career Support grant from the Swedish University of Agricultural Sciences . J.K.S. was funded by the Danish National Research Foundation ( DNRF96 ). C.S. was funded by the Aage V. Jensen Nature Foundation . J.W. was funded by German Ministry of Education and Research (BMBF) grant: 01IS20062 . Y.B. was funded by the French Office of Biodiversity (OFB). We thank Alba Segura Gomez, Rudolf Meier, and three anonymous referees for constructive comments. Gabriele Rada created the figures.

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© 2022 The Authors

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