Novel community data in ecology : properties and prospects
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Hartig, F., Abrego, N., Bush, A., Chase, J. M., Guillera-Arroita, G., Leibold, M. A., Ovaskainen, O., Pellissier, L., Pichler, M., Poggiato, G., Pollock, L., Si-Moussi, S., Thuiller, W., Viana, D. S., Warton, D. I., Zurell, D., & Yu, D. W. (2024). Novel community data in ecology : properties and prospects. Trends in Ecology and Evolution, 39(3), 280-293. https://doi.org/10.1016/j.tree.2023.09.017
Julkaistu sarjassa
Trends in Ecology and EvolutionPäivämäärä
2024Pääsyrajoitukset
Tekijänoikeudet
© 2023 Elsevier Ltd. All rights reserved.
New technologies for monitoring biodiversity such as environmental (e)DNA, passive acoustic monitoring, and optical sensors promise to generate automated spatiotemporal community observations at unprecedented scales and resolutions. Here, we introduce ‘novel community data’ as an umbrella term for these data. We review the emerging field around novel community data, focusing on new ecological questions that could be addressed; the analytical tools available or needed to make best use of these data; and the potential implications of these developments for policy and conservation. We conclude that novel community data offer many opportunities to advance our understanding of fundamental ecological processes, including community assembly, biotic interactions, micro- and macroevolution, and overall ecosystem functioning.
Julkaisija
Cell PressISSN Hae Julkaisufoorumista
0169-5347Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/194436014
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Näytä kaikki kuvailutiedotKokoelmat
Rahoittaja(t)
Suomen Akatemia; Euroopan komissioRahoitusohjelmat(t)
Akatemiaprofessorin tehtävä, SA; Akatemiaprofessorin tutkimuskulut, SA
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Lisätietoja rahoituksesta
This paper originated from several meetings of the sCom working group supported by sDiv, the Synthesis Centre of iDiv (DFG Forschungszentrum 118, 202548816). We thank the editor and two anonymous reviewers for their helpful comments on earlier drafts of this manuscript, and Andrew Buxton and Sarah Garratt from NatureSpace Partnership for comments on the newt offset market. W.T. and G.P. also ackn ...
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Ellei muuten mainita, aineiston lisenssi on CC BY-NC-ND 4.0