Williams-Climate-change-refugia-for-terrestrial-biodiversity_0

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Figure 48: Inclusion of areas of highest refugial potential (based on the averaged results for Proteales, Fabales, reptiles and amphibians) within the National Reserve System. Figure 49: Inclusion of areas of highest refugial potential (based on the averaged results for Proteales, Fabales, reptiles and amphibians) within the National Reserve System, detail for the ‘Top End’. 72 Climate change refugia for terrestrial biodiversity
4.4.2.1 Refugial potential – NSW 3-second analyses Results from the trial application of the refugial-potential analysis to higher quality biological data (floristic survey plot data), and 100 m grid-resolution environmental layers, for NSW are illustrated in Figure 47. Figure 50: Refugial potential in NSW based on compositional-turnover modelling of vascular plants at 100 m grid resolution. GCM: CSIRO Mk 3.5. Emission scenario: A1B (to 2070). Protected areas depicted as hatched overlay. Cleared land depicted in grey. 4.4.3 Refugial potential – Tingle Mosaic 1-second analyses Application of the refugial-potential analysis at an even finer spatial resolution is illustrated in Figure 48 for four climate scenarios at 30 m grid resolution within the Tingle Mosaic study area. Climate change refugia for terrestrial biodiversity 73
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Climate change refugia for terrestr
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Published by the National Climate C
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3.4.4 Future: current-2085 ........
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APPENDIX 3. Species distribution mo
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Figure 29: A detailed view of the p
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x Climate change refugia for terres
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EXECUTIVE SUMMARY Climate change is
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we will be in a better position to
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1.2.2 Case study 2: Pleistocene sta
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efugia meeting this latter criterio
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2.7 Conclusions Natural systems are
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highest RCP reported in the SRES (A
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3.3.4 Species data The study genera
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AUC score is negatively correlated
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Finally, we assess climate change t
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Territory, the Great Australian Big
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Page 38 and 39: 3.4.5 Distance measures At a given
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Page 42 and 43: Figure 16: An example of a species
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Page 46 and 47: Figure 20: The number of immigrants
Page 48 and 49: Figure 22 (cont.): The ‘Immigrant
Page 50 and 51: Figure 24 (cont.): The immigrants a
Page 52 and 53: Figure 26 (cont.): The areas with t
Page 54 and 55: 3.4.7.6 Areas of stability Understa
Page 56 and 57: including the Nullarbor Regional Re
Page 58 and 59: Table 2: The different classes of r
Page 60 and 61: most of the continent by 2085 that
Page 62 and 63: 3.7 Gaps and future research The ne
Page 64 and 65: individual species) will respond to
Page 66 and 67: 4.3.2 Topographically adjusted clim
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Page 70 and 71: Table 1: Biological groups compiled
Page 72 and 73: Invoking space-for-time substitutio
Page 74 and 75: expected to be considerably less ex
Page 76 and 77: is, the refugial analysis itself, f
Page 78 and 79: Figure 40: Refugial potential based
Page 80 and 81: Figure 43: Enlarged portion (Kimber
Page 82 and 83: Figure 46: Enlarged portion (Sydney
Page 86 and 87: Figure 51: Refugial potential in th
Page 88 and 89: 4.6 Gaps and future research The GD
Page 90 and 91: 5.3 Research activities and methods
Page 92 and 93: time periods to a distance calculat
Page 94 and 95: proportion of this suitability foun
Page 96 and 97: (a) Figure 54: Stability of the cli
Page 98 and 99: Figure 55: Climate and habitat suit
Page 100 and 101: Mountains in Queensland, the Eungel
Page 102 and 103: Figure 58: Areas of endemism in the
Page 104 and 105: Northern Tablellands Figure 60: Gla
Page 106 and 107: 5.6 Discussion 5.6.1 Endemism in re
Page 108 and 109: (back to 120 kya compared to LGM in
Page 110 and 111: Within each sub-region, potential e
Page 112 and 113: Table 9: Greenspot statistics for o
Page 114 and 115: drought micro-refuges, then targete
Page 116 and 117: The iterative recalculation of all
Page 118 and 119: Figure 64: Zonation conservation pr
Page 120 and 121: 7.6 Gaps and future research The co
Page 122 and 123: Figure 66: The refugia areas result
Page 124 and 125: 8.1.3 Overall lessons from the diff
Page 126 and 127: 9. GAPS AND FUTURE RESEARCH DIRECTI
Page 128 and 129: REFERENCES Ackerly, D. D., S. R. Lo
Page 130 and 131: Couper, P. J., B. Hamley, and C. J.
Page 132 and 133: Winton, A. T. Wittenberg, F. Zeng,
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A. Utteridge, J. E. Watkins, R. Wil
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R Development Core Team. 2011. R: A
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Tingley, M. W., W. B. Monahan, S. R
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APPENDIX 1. CLIMATE SCENARIOS AND B
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Table A1-4: Eighteen Global Climate
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Table A1-5: Thirty-year climate cov
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Figure A2-68. Change in temperature
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Figure A2-70. Proportionate change
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Figure A2-72. The distance an organ
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Figure A2-74. The areas for which t
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APPENDIX 3. SPECIES DISTRIBUTION MO
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APPENDIX 4. PROJECTED SPECIES RICHN
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Figure A4-2. The species richness s
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Table of contents ABSTRACT ........
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INTRODUCTION Terrain modifies local
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RESEARCH ACTIVITIES AND METHODS Dat
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Land Cover The Geosciences Australi
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Figure A5-4: Terrain adjusted model
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RESULTS AND OUTPUTS Figures 8 and 9
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Figure A5-10 Channel Country (SW Qu
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REFERENCES ANU Fenner School of Env
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APPENDIX 6. ENVIRONMENTAL VARIABLES
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Group Short name Name Units Source
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Group Short name Name Units Source
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Data Citations Bureau of Rural Scie
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APPENDIX 7. COMPOSITIONAL TURNOVER
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Table A7-9. Vascular plant data app
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to support in house applications an
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Table A7-10. Summary of GDM model f
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Variable Group Predictor variable a
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a) c) Figure A7-78. Continental Aus
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Table A7-15. Overall relative impor
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a) c) Figure A7-92. Eastern Austral
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Table A7-18. Overall relative impor
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a) c) Figure A7-94. Tingle Mosaic s
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References Allen R, Pereira L, Raes
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APPENDIX 8. PLEISTOCENE STABILITY A
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Figure A8-3. Rainforest in the Aust
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Canis lupus dingo CANLUPU MAMM Cani
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Lampropholis mirabilis LAMMIRA REPT
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Stegonotus cucullatus STECUCU REPT
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Figure A10-1. Spatial patterns of v
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