Volume 23, Issue 3 p. 1360
Corrigendum
Free Access

Modelling marine community responses to climate-driven species redistribution to guide monitoring and adaptive ecosystem-based management

Martin Pierre Marzloff

Martin Pierre Marzloff

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, Private Bag 129, Hobart, TAS, 7001 Australia

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Jessica Melbourne-Thomas

Jessica Melbourne-Thomas

Department of the Environment, Australian Antarctic Division, Channel Highway, Kingston, TAS, 7005 Australia

Antarctic Climate and Ecosystems Cooperative Research Centre, Private Bag 80, Hobart, TAS, 7001 Australia

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Katell G. Hamon

Katell G. Hamon

LEI – Wageningen UR, PO Box 29703, 2502 LS ‘S Gravenhage, The Netherlands

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Eriko Hoshino

Eriko Hoshino

Tasmanian School of Business and Economics, University of Tasmania, Private Bag 84, Hobart, TAS, 7001 Australia

CSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, TAS, 7001 Australia

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Sarah Jennings

Sarah Jennings

Tasmanian School of Business and Economics, University of Tasmania, Private Bag 84, Hobart, TAS, 7001 Australia

Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, 7001 Australia

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Ingrid E. Van Putten

Ingrid E. Van Putten

CSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, TAS, 7001 Australia

Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, 7001 Australia

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Gretta T. Pecl

Gretta T. Pecl

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, Private Bag 129, Hobart, TAS, 7001 Australia

Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, 7001 Australia

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First published: 17 February 2017

This article was published in GCB (2016/22:2462–2474).

The authors of the paper ‘Modelling marine community responses to climate-driven species redistribution to guide monitoring and adaptive ecosystem-based management’ would like to inform readers that the R code supplied as online Supporting Information (SI2), includes an error that affects the colour scaling of the response signs of model variables to long-term perturbations, as shown in Figures 4 and 5. Specifically, in both the figures, a greater proportion of predicted responses ought to be interpreted as ‘ambiguous’ (shown in grey).

The overall message of the paper and the general interpretation of the results remain unchanged, as only the visualisation of predicting ambiguity is affected by this error and not the direction and overall patterns of predicted model responses.

The authors would like to apologize for the erroneous R code, and for any confusion it may have caused.

    The full text of this article hosted at iucr.org is unavailable due to technical difficulties.