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

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Table A7-18. Overall relative importance (sum of spline coefficient values) of predictor variables used in the final fitted models. Variable Predictor Spatial Local Soil Group* variable Predictors Predictors t-climate WDX 0.93 0.75 t-climate TXX 0.70 0.67 t-climate RSX 0.56 0.32 t-climate EAA 0.57 0.49 substrate SME80AM 0.50 0.52 substrate SME20AM 0.42 0.51 substrate RATIO_UKAM 0.33 0.19 substrate PPMTHAM 0.20 0.12 substrate PAWC1MAM 0.97 1.02 substrate MAGAM 0.47 0.38 substrate KAO80AM 0.21 0.00 substrate CLAY30AM 0.20 0.11 local soil P_HCL_M - 0.24 local soil K_HCL_M - 0.70 local soil C_M - 0.26 local soil K_OLS_M - 0.44 local soil PH_M - 1.28 local soil SALTS_M - 0.41 landform SLP300AM 0.27 0.16 landform RELIEFAM 0.00 0.27 Landform MRRTFAM 0.28 0.12 * Local soil variables: P_HCL_M – Phosphorus; K_HCL_M – Potassium; C_M – Carbon; K_OLS_M – Potassium; PH_M – acidity; SALTS_M – salts. 200 Climate change refugia for terrestrial biodiversity
a) c) Figure A7-93. Tingle Mosaic survey 1-second fitted model for vascular plants: a) dissimilarity response variable; b) overall fit of the logit model – observed versus predicted; c) relative contribution of the predictors (sum of spline coefficient values), d) composite of the variable fitted functions. Climate change refugia for terrestrial biodiversity 201 b) d)
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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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Figure 5: The 10 th percentile of l
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Figure 8: The absolute predicted ch
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3.4.5 Distance measures At a given
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the continent, the required movemen
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Figure 16: An example of a species
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Figure 18: Species richness for eac
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Figure 20: The number of immigrants
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Figure 22 (cont.): The ‘Immigrant
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Figure 24 (cont.): The immigrants a
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Figure 26 (cont.): The areas with t
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3.4.7.6 Areas of stability Understa
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including the Nullarbor Regional Re
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Table 2: The different classes of r
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most of the continent by 2085 that
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3.7 Gaps and future research The ne
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individual species) will respond to
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4.3.2 Topographically adjusted clim
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Tmax adj 0.5° GCM change grids (19
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Table 1: Biological groups compiled
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Invoking space-for-time substitutio
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expected to be considerably less ex
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is, the refugial analysis itself, f
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Figure 40: Refugial potential based
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Figure 43: Enlarged portion (Kimber
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Figure 46: Enlarged portion (Sydney
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Figure 48: Inclusion of areas of hi
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Figure 51: Refugial potential in th
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4.6 Gaps and future research The GD
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5.3 Research activities and methods
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time periods to a distance calculat
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proportion of this suitability foun
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(a) Figure 54: Stability of the cli
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Figure 55: Climate and habitat suit
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Mountains in Queensland, the Eungel
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Figure 58: Areas of endemism in the
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Northern Tablellands Figure 60: Gla
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5.6 Discussion 5.6.1 Endemism in re
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(back to 120 kya compared to LGM in
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Within each sub-region, potential e
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Table 9: Greenspot statistics for o
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drought micro-refuges, then targete
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The iterative recalculation of all
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Figure 64: Zonation conservation pr
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7.6 Gaps and future research The co
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Figure 66: The refugia areas result
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8.1.3 Overall lessons from the diff
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9. GAPS AND FUTURE RESEARCH DIRECTI
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REFERENCES Ackerly, D. D., S. R. Lo
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Couper, P. J., B. Hamley, and C. J.
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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 ........
Page 162 and 163: INTRODUCTION Terrain modifies local
Page 164 and 165: RESEARCH ACTIVITIES AND METHODS Dat
Page 166 and 167: Land Cover The Geosciences Australi
Page 168 and 169: Figure A5-4: Terrain adjusted model
Page 170 and 171: RESULTS AND OUTPUTS Figures 8 and 9
Page 172 and 173: Figure A5-10 Channel Country (SW Qu
Page 174 and 175: REFERENCES ANU Fenner School of Env
Page 176 and 177: APPENDIX 6. ENVIRONMENTAL VARIABLES
Page 178 and 179: Group Short name Name Units Source
Page 180 and 181: Group Short name Name Units Source
Page 182 and 183: Data Citations Bureau of Rural Scie
Page 184 and 185: APPENDIX 7. COMPOSITIONAL TURNOVER
Page 186 and 187: Table A7-9. Vascular plant data app
Page 188 and 189: to support in house applications an
Page 190 and 191: Table A7-10. Summary of GDM model f
Page 192 and 193: Variable Group Predictor variable a
Page 194 and 195: a) c) Figure A7-78. Continental Aus
Page 208 and 209: Table A7-15. Overall relative impor
Page 210 and 211: a) c) Figure A7-92. Eastern Austral
Page 214 and 215: a) c) Figure A7-94. Tingle Mosaic s
Page 216 and 217: References Allen R, Pereira L, Raes
Page 218 and 219: APPENDIX 8. PLEISTOCENE STABILITY A
Page 220 and 221: Figure A8-3. Rainforest in the Aust
Page 222 and 223: Canis lupus dingo CANLUPU MAMM Cani
Page 224 and 225: Lampropholis mirabilis LAMMIRA REPT
Page 226 and 227: Stegonotus cucullatus STECUCU REPT
Page 228: Figure A10-1. Spatial patterns of v
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