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Multiple measures of biodiversity change make for the strongest analyses with historical data – Reply to Guzman et al., 2021

Soroye, P; Newbold, T; Kerr, JT; (2021) Multiple measures of biodiversity change make for the strongest analyses with historical data – Reply to Guzman et al., 2021. Biological Conservation , 260 , Article 109217. 10.1016/j.biocon.2021.109217. Green open access

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Type: Article
Title: Multiple measures of biodiversity change make for the strongest analyses with historical data – Reply to Guzman et al., 2021
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.biocon.2021.109217
Publisher version: https://doi.org/10.1016/j.biocon.2021.109217
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Life Sciences & Biomedicine, Biodiversity Conservation, Ecology, Environmental Sciences, Biodiversity & Conservation, Environmental Sciences & Ecology, Biodiversity change, Climate change, Occupancy modelling, Bumblebees, Historic data, Opportunistic data
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10133866
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