Novel community data in ecology : properties and prospects
acceptedVersion
1.0 Mb
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
Published in
Trends in Ecology and EvolutionDate
2024Access restrictions
Copyright
© 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.
Publisher
Cell PressISSN Search the Publication Forum
0169-5347Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/194436014
Metadata
Show full item recordCollections
Related funder(s)
Research Council of Finland; European CommissionFunding program(s)
Research post as Academy Professor, AoF; ERC European Research Council, H2020; Research costs of Academy Professor, AoF
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.
Additional information about funding
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 ...
License
Except where otherwise noted, this item's license is described as CC BY-NC-ND 4.0