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Landscape-scale forest loss as a catalyst of population and biodiversity change

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Daskalova_Science_Landscape_scale_AAM.pdf (3.041Mb)
Date
19/06/2020
Author
Daskalova, Gergana N.
Myers-Smith, Isla H.
Bjorkman, Anne D.
Blowes, Shane A.
Supp, Sarah R.
Magurran, Anne E.
Dornelas, Maria
Funder
European Research Council
European Research Council
The Leverhulme Trust
The Leverhulme Trust
Grant ID
250189
727440
ORPG-8061
Keywords
QH301 Biology
3rd-DAS
BDC
R2C
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Abstract
Global biodiversity assessments have highlighted land-use change as a key driver of biodiversity change. However, there is little empirical evidence of how habitat transformations such as forest loss and gain are reshaping biodiversity over time. We quantified how change in forest cover has influenced temporal shifts in populations and ecological assemblages from 6090 globally distributed time series across six taxonomic groups. We found that local-scale increases and decreases in abundance, species richness, and temporal species replacement (turnover) were intensified by as much as 48% after forest loss. Temporal lags in population- and assemblage-level shifts after forest loss extended up to 50 years and increased with species’ generation time. Our findings that forest loss catalyzes population and biodiversity change emphasize the complex biotic consequences of land-use change.
Citation
Daskalova , G N , Myers-Smith , I H , Bjorkman , A D , Blowes , S A , Supp , S R , Magurran , A E & Dornelas , M 2020 , ' Landscape-scale forest loss as a catalyst of population and biodiversity change ' , Science , vol. 368 , no. 6497 , pp. 1341-1347 . https://doi.org/10.1126/science.aba1289
Publication
Science
Status
Peer reviewed
DOI
https://doi.org/10.1126/science.aba1289
ISSN
0036-8075
Type
Journal article
Rights
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1126/science.aba1289
Description
The BioTIME database was supported by ERC AdG BioTIME 250189 and ERC PoC BioCHANGE 727440. We thank the ERC projects BioTIME and BioCHANGE for supporting the initial data synthesis work that led to this study, and the Leverhulme Centre for Anthropocene Biodiversity for continued funding of the database. Also supported by a Carnegie-Caledonian PhD Scholarship and NERC doctoral training partnership grant NE/L002558/1 (G.N.D.), a Leverhulme Fellowship and the Leverhulme Centre for Anthropocene Biodiversity (M.D.), Leverhulme Project Grant RPG-2019-402 (A.E.M. and M.D.), and the German Centre of Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig (funded by the German Research Foundation; FZT 118, S.A.B.).
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URL
https://science.sciencemag.org/content/368/6497/1341/suppl/DC1
https://doi.org/10.1101/473645
URI
http://hdl.handle.net/10023/21298

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