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Why scaling up uncertain predictions to higher levels of organisation will underestimate change

View ORCID ProfileJames Orr, Jeremy Piggott, Andrew Jackson, View ORCID ProfileJean-François Arnoldi
doi: https://doi.org/10.1101/2020.05.26.117200
James Orr
Zoology department, School of Natural Sciences, Trinity College Dublin, The University of Dublin, Ireland
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  • For correspondence: jaorr@tcd.ie
Jeremy Piggott
Zoology department, School of Natural Sciences, Trinity College Dublin, The University of Dublin, Ireland
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Andrew Jackson
Zoology department, School of Natural Sciences, Trinity College Dublin, The University of Dublin, Ireland
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Jean-François Arnoldi
Zoology department, School of Natural Sciences, Trinity College Dublin, The University of Dublin, Ireland
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  • ORCID record for Jean-François Arnoldi
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Article Information

doi 
https://doi.org/10.1101/2020.05.26.117200
History 
  • May 30, 2020.

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  • Version 2 (September 22, 2020 - 07:20).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. James Orr*,
  2. Jeremy Piggott,
  3. Andrew Jackson and
  4. Jean-François Arnoldi
  1. Zoology department, School of Natural Sciences, Trinity College Dublin, The University of Dublin, Ireland
  1. ↵*jaorr{at}tcd.ie
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Posted May 30, 2020.
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Why scaling up uncertain predictions to higher levels of organisation will underestimate change
James Orr, Jeremy Piggott, Andrew Jackson, Jean-François Arnoldi
bioRxiv 2020.05.26.117200; doi: https://doi.org/10.1101/2020.05.26.117200
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Why scaling up uncertain predictions to higher levels of organisation will underestimate change
James Orr, Jeremy Piggott, Andrew Jackson, Jean-François Arnoldi
bioRxiv 2020.05.26.117200; doi: https://doi.org/10.1101/2020.05.26.117200

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