The Time Machine framework: monitoring and prediction of biodiversity loss

Metadata

Item Type:	Article
Authors/Creators:	Eastwood, N Stubbings, WA Abou-Elwafa, MA Durance, I Paavola, J https://orcid.org/0000-0001-5720-466X Dallimer, M https://orcid.org/0000-0001-8120-3309 Pantel, JH Johnson, S Zhou, J Hosking, SJ Brown, JB Ullah, S Krause, S Hannah, DM Crawford, SE Widmann, M Orsini, L
Keywords:	ecosystem function, artificial intelligence, time-series, climate, pollution, economic valuation
Dates:	Published: 1 February 2022 Published (online): 9 November 2021 Accepted: 23 September 2021
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Sustainability Research Institute (SRI) (Leeds)
Depositing User:	Symplectic Publications
Date Deposited:	31 Jan 2022 10:36
Last Modified:	31 Jan 2022 10:36
Status:	Published
Publisher:	Cell Press
Identification Number:	10.1016/j.tree.2021.09.008
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:182825

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