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gcb2605-sup-0001-AppendixS1.pdfapplication/PDF35KAppendix S1. Principal Components Analysis to select predictor variables.
gcb2605-sup-0002-AppendixS2.pdfapplication/PDF44KAppendix S2. General Circulation Models used in the study.
gcb2605-sup-0003-AppendixS3.pdfapplication/PDF45KAppendix S3. R scripts used to build the ‘central cluster’ consensus projections.
gcb2605-sup-0004-AppendixS4.pdfapplication/PDF42KAppendix S4. Sources of uncertainty in the ensemble of forecasts from individual BEMs.
gcb2605-sup-0005-AppendixS5.pdfapplication/PDF45KAppendix S5. Non-analogue climate maps.
gcb2605-sup-0006-AppendixS6.pdfapplication/PDF108KAppendix S6. Single-BEMs selected for the ‘central clusters’ and Anosim results.
gcb2605-sup-0007-AppendixS7.pdfapplication/PDF24KAppendix S7. Level of consensus among all BEMs and ‘central cluster’ BEMs.
gcb2605-sup-0008-AppendixS8.pdfapplication/PDF23KAppendix S8. Single-BEMs selected as ‘central model’ across species.
gcb2605-sup-0009-AppendixS9.pdfapplication/PDF95KAppendix S9. Statistical differences in the distributions of TSS and omission and commission error among the five BEM consensus projections.
gcb2605-sup-0010-AppendixS10.pdfapplication/PDF108KAppendix S10. Frequency distribution of species turnover for alternative GCM clusters, emissions scenarios and BEM consensus methodologies.
gcb2605-sup-0011-AppendixS11.pdfapplication/PDF148KAppendix S11. Late-century species turnover for alternative BEM consensus methodologies.
gcb2605-sup-0012-AppendixS12.pdfapplication/PDF186KAppendix S12. Frequency distribution of climate anomalies over the study area.
gcb2605-sup-0013-AppendixS13.pdfapplication/PDF137KAppendix S13. Climate anomaly maps for the three variables.

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