TY - JOUR
T1 - Novel community data in ecology - properties and prospects
AU - Hartig, Florian
AU - Abrego, Nerea
AU - Bush, Alex
AU - Chase, Jonathan M.
AU - Guillera-Arroita, Gurutzeta
AU - Leibold, Mathew A.
AU - Ovaskainen, Otso
AU - Pellissier, Loïc
AU - Pichler, Maximilian
AU - Poggiato, Giovanni
AU - Pollock, Laura
AU - Si-Moussi, Sara
AU - Thuiller, Wilfried
AU - Viana, Duarte S.
AU - Warton, David I.
AU - Zurell, Damaris
AU - Yu, Douglas W.
N1 - 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).
PY - 2024/3
Y1 - 2024/3
N2 - 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.
AB - 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.
KW - q-bio.PE
KW - joint species distribution models (jSDMs)
KW - community ecology
KW - passive acoustic monitoring
KW - macroecology
KW - camera traps
KW - environmental DNA (eDNA)
UR - http://www.scopus.com/inward/record.url?scp=85176380039&partnerID=8YFLogxK
U2 - 10.1016/j.tree.2023.09.017
DO - 10.1016/j.tree.2023.09.017
M3 - Review article
VL - 39
SP - 280
EP - 293
JO - Trends in Ecology and Evolution
JF - Trends in Ecology and Evolution
SN - 0169-5347
IS - 3
ER -