Novel community data in ecology - properties and prospects

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Hartig, Florian, Abrego, Nerea, Bush, Alex, Chase, Jonathan M., Guillera-Arroita, Gurutzeta, Leibold, Mathew A., Ovaskainen, Otso, Pellissier, Loïc, Pichler, Maximilian, Poggiato, Giovanni, Pollock, Laura, Si-Moussi, Sara, Thuiller, Wilfried, Viana, Duarte S., Warton, David I., Zurell, Damaris and Yu, Douglas W. (2024) Novel community data in ecology - properties and prospects. Trends in Ecology and Evolution, 39 (3). pp. 280-293. ISSN 0169-5347

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Abstract

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.

Item Type: Article
Additional Information: Funding Information: W.T. and G.P. acknowledge support from the European Union’s Horizon Europe under the project NaturaConnect (grant agreement No. 101060429) and OBSGESSION, as well as the French Agence Nationale de la Recherche (ANR) through the Gambas project (ANR-18-CE02-0025). S.S-M. and W.T. were funded by the French Biodiversity Office through the FrenchBiodiv project. O.O. was funded by Academy of Finland (grant No. 336212 and 345110 ) and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 856506 ; ERC-synergy project LIFEPLAN). G.G-A. is currently supported by a ‘Ramón y Cajal’ grant ( RYC2020-028826-I ) funded by the Spanish Ministry of Science and Innovation , the Agencia Estatal de Investigación (10.13039/501100011033) and ‘ESF Investing in your future’. M.A.L. was funded by University of Delaware National Science Foundation (NSF) award 2025118 . D.S.V is currently supported by a ‘Juan de la Cierva Incorporación’ postdoctoral grant (IJC2020-044545-I) funded by the Spanish Ministry of Science and Innovation. D.W.Y. was supported by the Chinese Academy of Sciences (CAS) Strategic Priority Research Program (XDA20050202) and the CAS Key Research Program of Frontier Sciences (QYZDY-SSW-SMC024).
Uncontrolled Keywords: q-bio.pe,joint species distribution models (jsdms),community ecology,passive acoustic monitoring,macroecology,camera traps,environmental dna (edna),ecology, evolution, behavior and systematics ,/dk/atira/pure/subjectarea/asjc/1100/1105
Faculty \ School: Faculty of Science > School of Biological Sciences
UEA Research Groups: Faculty of Science > Research Centres > Centre for Ecology, Evolution and Conservation
Faculty of Science > Research Groups > Organisms and the Environment
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Depositing User: LivePure Connector
Date Deposited: 03 Oct 2024 09:30
Last Modified: 07 Oct 2024 08:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/96864
DOI: 10.1016/j.tree.2023.09.017

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