Ensemble models predict Important Bird Areas in southern Africa will become less effective for conserving endemic birds under climate change

Authors

  • Bernard W. T. Coetzee,

    1. Centre for Invasion Biology, Department of Zoology and Entomology, University of Pretoria, 0002, South Africa,
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    • Present address: Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland, 7602, South Africa.

  • Mark P. Robertson,

    Corresponding author
    1. Centre for Invasion Biology, Department of Zoology and Entomology, University of Pretoria, 0002, South Africa,
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  • Barend F. N. Erasmus,

    1. School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Private Bag 3, WITS 2050, Johannesburg, South Africa,
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  • Berndt J. Van Rensburg,

    1. Centre for Invasion Biology, Department of Zoology and Entomology, University of Pretoria, 0002, South Africa,
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  • Wilfried Thuiller

    1. Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Université J. Fourier, BP 53, 38041 Grenoble Cedex 9, France
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Mark P. Robertson, Centre for Invasion Biology, Department of Zoology and Entomology, University of Pretoria, Pretoria, 0002, South Africa.
E-mail: mrobertson@zoology.up.ac.za

ABSTRACT

Aim  To examine the impacts of climate change on endemic birds, which are of global significance for conservation, on a continent with few such assessments. We specifically assess projected range changes in relation to the Important Bird Areas (IBAs) network and assess the possible consequences for conservation.

Location  South Africa, Lesotho and Swaziland.

Methods  The newly emerging ensemble modelling approach is used with 50 species, four climate change models for the period 2070–2100 and eight bioclimatic niche models in the statistical package biomod. Model evaluation is done using the receiver operating characteristic and the recently introduced true skill statistic. Future projections are made considering two extreme assumptions: species have full dispersal ability and species have no dispersal ability. A consensus forecast is identified using principal components analysis. This forecast is interpreted in terms of the IBA network. An irreplaceability analysis is used to highlight priority IBAs for conservation attention in terms of climate change.

Results  The majority of species (62%) are predicted to lose climatically suitable space. Five species lose at least 85% of their climatically suitable space. Many IBAs lose species (41%; 47 IBAs) and show high rates of species turnover of more than 50% (77%; 95 IBAs). Highly irreplaceable regions for endemic species become highly localized under climate change, meaning that the endemic species analysed here experience similar range contractions to maintain climate niches.

Main conclusions  The South African IBAs network is likely to become less effective for conserving endemic birds under climate change. The irreplaceability analysis identified key refugia for endemic species under climate change, but many of these areas are not currently IBAs. In addition, many of these high-priority areas that are IBAs fall outside the current formal protected areas network.

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