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Novel community data in ecology : properties and prospects

dc.contributor.authorHartig, Florian
dc.contributor.authorAbrego, Nerea
dc.contributor.authorBush, Alex
dc.contributor.authorChase, Jonathan M.
dc.contributor.authorGuillera-Arroita, Gurutzeta
dc.contributor.authorLeibold, Mathew A.
dc.contributor.authorOvaskainen, Otso
dc.contributor.authorPellissier, Loïc
dc.contributor.authorPichler, Maximilian
dc.contributor.authorPoggiato, Giovanni
dc.contributor.authorPollock, Laura
dc.contributor.authorSi-Moussi, Sara
dc.contributor.authorThuiller, Wilfried
dc.contributor.authorViana, Duarte S.
dc.contributor.authorWarton, David I.
dc.contributor.authorZurell, Damaris
dc.contributor.authorYu, Douglas W.
dc.date.accessioned2024-04-10T10:33:53Z
dc.date.available2024-04-10T10:33:53Z
dc.date.issued2024
dc.identifier.citationHartig, 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. <i>Trends in Ecology and Evolution</i>, <i>39</i>(3), 280-293. <a href="https://doi.org/10.1016/j.tree.2023.09.017" target="_blank">https://doi.org/10.1016/j.tree.2023.09.017</a>
dc.identifier.otherCONVID_194436014
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/94264
dc.description.abstractNew 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.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherCell Press
dc.relation.ispartofseriesTrends in Ecology and Evolution
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherenvironmental DNA (eDNA)
dc.subject.othercommunity ecology
dc.subject.othermacroecology
dc.subject.otherpassive acoustic
dc.subject.othermonitoring
dc.subject.othercamera traps
dc.subject.otherjoint species distribution models (jSDMs)
dc.titleNovel community data in ecology : properties and prospects
dc.typereview article
dc.identifier.urnURN:NBN:fi:jyu-202404102830
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_dcae04bc
dc.description.reviewstatuspeerReviewed
dc.format.pagerange280-293
dc.relation.issn0169-5347
dc.relation.numberinseries3
dc.relation.volume39
dc.type.versionacceptedVersion
dc.rights.copyright© 2023 Elsevier Ltd. All rights reserved.
dc.rights.accesslevelembargoedAccessfi
dc.type.publicationarticle
dc.relation.grantnumber336212
dc.relation.grantnumber856506
dc.relation.grantnumber856506
dc.relation.grantnumber345110
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/856506/EU//LIFEPLAN
dc.subject.ysobiodiversiteetti
dc.subject.ysoteknologinen kehitys
dc.subject.ysoeliöyhteisöt
dc.subject.ysoekologia
dc.subject.ysotutkimusmenetelmät
dc.subject.ysodata
dc.subject.ysomonitorointi
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p5496
jyx.subject.urihttp://www.yso.fi/onto/yso/p8956
jyx.subject.urihttp://www.yso.fi/onto/yso/p4636
jyx.subject.urihttp://www.yso.fi/onto/yso/p634
jyx.subject.urihttp://www.yso.fi/onto/yso/p415
jyx.subject.urihttp://www.yso.fi/onto/yso/p27250
jyx.subject.urihttp://www.yso.fi/onto/yso/p3628
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.tree.2023.09.017
dc.relation.funderResearch Council of Finlanden
dc.relation.funderEuropean Commissionen
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
dc.relation.funderEuroopan komissiofi
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramResearch post as Academy Professor, AoFen
jyx.fundingprogramERC European Research Council, H2020en
jyx.fundingprogramResearch costs of Academy Professor, AoFen
jyx.fundingprogramAkatemiaprofessorin tehtävä, SAfi
jyx.fundingprogramERC European Research Council, H2020fi
jyx.fundingprogramAkatemiaprofessorin tutkimuskulut, SAfi
jyx.fundinginformationThis 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 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).
dc.type.okmA2


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