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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/36838

Title: A balance of winners and losers in the Anthropocene
Authors: Dornelas, Maria
Gotelli, Nicholas J.
Shimadzu, Hideyasu
Moyes, Faye
Magurran, Anne E.
McGill, Brian
Keywords: Population change
Extinction
Colonisation
Biodiversity
Anthropogenic
Issue Date: 2019
Publisher: © John Wiley & Sons Ltd/CNRS
Citation: DORNELAS, M. ... et al, 2019. A balance of winners and losers in the Anthropocene. Ecology Letters, 22 (5), pp.847-854.
Abstract: Scientists disagree about the nature of biodiversity change. While there is evidence for widespread declines from population surveys, assemblage surveys reveal a mix of declines and increases. These conflicting conclusions may be caused by the use of different metrics: assemblage metrics may average out drastic changes in individual populations. Alternatively, differences may arise from data sources: populations monitored individually, versus whole assemblage monitoring. To test these hypotheses, we estimated population change metrics using assemblage data. For a set of 23,241 populations, 16,009 species, in 158 assemblages, we detected significantly accelerating extinction and colonisation rates, with both rates being approximately balanced. Most populations (85%) did not show significant trends in abundance, and those that did were balanced between winners (8%) and losers (7%). Thus, population metrics estimated with assemblage data are commensurate with assemblage metrics and reveal sustained and increasing species turnover.
Description: This paper is closed access until 15 March 2020.
Sponsor: We are grateful to the European Research Council (AdG BioTIME 250189 and PoC BioCHANGE 72744) for funding. MD is funded by a Leverhulme Fellowship from the Leverhulme Trust and by the John Templeton Foundation grant #60501 'Putting the Extended Evolutionary Synthesis to the Test'.
Version: Accepted for publication
DOI: 10.1111/ele.13242
URI: https://dspace.lboro.ac.uk/2134/36838
Publisher Link: https://doi.org/10.1111/ele.13242
ISSN: 1461-023X
Appears in Collections:Closed Access (Maths)

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