Hewitt, G. The genetic legacy of the Quaternary ice ages. Nature 405, 907 (2000).
Graham, C. H., Moritz, C. & Williams, S. E. Habitat history improves prediction of biodiversity in rainforest fauna. Proc. Natl. Acad. Sci. 103, 632–636 (2006).
Latinne, A. et al. Influence of past and future climate changes on the distribution of three Southeast Asian murine rodents. J. Biogeogr. 42, 1714–1726 (2015).
Davis, A. J., Jenkinson, L. S., Lawton, J. H., Shorrocks, B. & Wood, S. Making mistakes when predicting shifts in species range in response to global warming. Nature 391, 783 (1998).
Knick, S. T. & Rotenberry, J. T. Ghosts of habitats past: Contribution of landscape change to current habitats used by shrubland birds. Ecology 81, 220–227 (2000).
Enright, N. J. & Thomas, I. Pre-European fire regimes in Australian ecosystems. Geogr. Compass 2, 979–1011 (2008).
Bowman, D. M. The impact of Aboriginal landscape burning on the Australian biota. N. Phytolog. 140, 385–410 (1998).
Rule, S. et al. The aftermath of megafaunal extinction: Ecosystem transformation in Pleistocene Australia. Science 335, 1483–1486 (2012).
Gillespie, R., Brook, B. W. & Baynes, A. Short overlap of humans and megafauna in Pleistocene Australia. Alcheringa Aust. J Palaeontol. 30, 163–186 (2006).
Roberts, R. G. et al. New ages for the last Australian megafauna: Continent-wide extinction about 46,000 years ago. Science 292, 1888–1892 (2001).
Miller, G. H. et al. Ecosystem collapse in Pleistocene Australia and a human role in megafaunal extinction. Science 309, 287–290 (2005).
Woinarski, J. C. Z., Burbidge, A. A. & Harrison, P. L. Ongoing unraveling of a continental fauna: Decline and extinction of Australian mammals since European settlement. Proc. Nat. Acad. Sci. 112, 4531–4540 (2015).
Guimarães, P. R. Jr., Galetti, M. & Jordano, P. Seed dispersal anachronisms: Rethinking the fruits extinct megafauna ate. PLoS One 3, e1745 (2008).
Bradshaw, C. J. Little left to lose: Deforestation and forest degradation in Australia since European colonization. J. Plant Ecol. 5, 109–120 (2012).
Dunstan, H., Florentine, S. K., Calviño-Cancela, M., Westbrooke, M. E. & Palmer, G. C. Dietary characteristics of Emus (Dromaius novaehollandiae) in semi-arid New South Wales, Australia, and dispersal and germination of ingested seeds. Emu 113, 168–176 (2013).
Rogers, R. Dispersal of germinable seeds by emus in semi-arid Queensland. Emu 94, 132–134 (1994).
Bradford, M. G. & Westcott, D. A. Consequences of Southern Cassowary (Casuarius casuarius, L) gut passage and deposition pattern on the germination of rainforest seeds. Austral. Ecol. 35, 325–333 (2010).
Dawson, T., Read, D., Russell, E. & Herd, R. Seasonal variation in daily activity patterns, water relations and diet of emus. Emu 84, 93–102 (1984).
Quin, B. Diet and habitat of Emus Dromaius novaehollandiae in the Grampians Ranges, south-western Victoria. Emu 96, 114–122 (1996).
Higgins, S., Nathan, R. & Cain, M. Are long-distance dispersal events in plants usually caused by nonstandard means of dispersal?. Ecology 84, 1945–1956 (2003).
Calviño-Cancela, M., Dunn, R. R., Van Etten, E. J. & Lamont, B. Emus as non-standard seed dispersers and their potential for long-distance dispersal. Ecography 29, 632–640 (2006).
Calviño-Cancela, M., He, T. & Lamont, B. B. Distribution of myrmecochorous species over the landscape and their potential long-distance dispersal by emus and kangaroos. Divers. Distrib. 14, 11–17 (2008).
McGrath, R. & Bass, D. Seed dispersal by emus on the New South Wales north-east coast. Emu 99, 248–252 (1999).
Cain, M. L., Milligan, B. G. & Strand, A. E. Long-distance seed dispersal in plant populations. Am. J. Bot. 87, 1217–1227 (2000).
Vidal, M. M., Pires, M. M. & Guimarães, P. R. Jr. Large vertebrates as the missing components of seed-dispersal networks. Biol. Cons. 163, 42–48 (2013).
Ruxton, G. D. & Schaefer, H. M. The conservation physiology of seed dispersal. Philos. Trans. R. Soc. B Biol. Sci. 367, 1708–1718 (2012).
Johnson, C. N. Ecological consequences of Late Quaternary extinctions of megafauna. Proc. R. Soc. B Biol. Sci. 276, 2509–2519 (2009).
Miller, G. H. & Fogel, M. L. Calibrating δ18O in Dromaius novaehollandiae (emu) eggshell calcite as a paleo-aridity proxy for the Quaternary of Australia. Geochim. Cosmochim. Acta 193, 1–13 (2016).
Breckwoldt, R. Wildlife in the home paddock. Nat. Conserv. Farm. 20, 20 (1983).
Le Souëf, D. Extinct Tasmanian Emu. Emu Austral. Ornithol. 3, 229–231 (1904).
Thomson, V. A. et al. Genetic diversity and drivers of dwarfism in extinct island emu populations. Biol. Lett. 14, 20 (2018).
Department of Planning, Industry and Environment (DPIE) (2002). Emu population in the New South Wales North Coast Bioregion and Port Stephens local government area. NSW Sci. Determ. 20, 20 (2018).
Franklin, J. Moving beyond static species distribution models in support of conservation biogeography. Divers. Distrib. 16, 321–330 (2010).
Colles, A., Liow, L. H. & Prinzing, A. Are specialists at risk under environmental change? Neoecological, paleoecological and phylogenetic approaches. Ecol. Lett. 12, 849–863 (2009).
Glazier, D. S. & Eckert, S. E. Competitive ability, body size and geographical range size in small mammals. J. Biogeogr. 29, 81–92 (2002).
Gaston, K. J. How large is a species’ geographic range?. Oikos 20, 434–438 (1991).
Devictor, V., Julliard, R. & Jiguet, F. Distribution of specialist and generalist species along spatial gradients of habitat disturbance and fragmentation. Oikos 117, 507–514 (2008).
Futuyma, D. J. & Moreno, G. The evolution of ecological specialization. Annu. Rev. Ecol. Syst. 19, 207–233 (1988).
Östergård, H. & Ehrlén, J. Among population variation in specialist and generalist seed predation—the importance of host plant distribution, alternative hosts and environmental variation. Oikos 111, 39–46 (2005).
Kassen, R. The experimental evolution of specialists, generalists, and the maintenance of diversity. J. Evol. Biol. 15, 173–190 (2002).
Thuiller, W., Araújo, M. B. & Lavorel, S. Do we need land-cover data to model species distributions in Europe?. J. Biogeogr. 31, 353–361 (2004).
Rahbek, C. & Graves, G. R. Multiscale assessment of patterns of avian species richness. Proc. Natl. Acad. Sci. 98, 4534–4539 (2001).
Davies, S. J. J. F., Beck, M. W. R. & Kruiskamp, J. P. Results of banding 154 emus in Western Australia. Wildl. Res. 16, 77–79 (1971).
Pople, A., Cairns, S. & Grigg, G. Distribution and abundance of emus Dromaius novaehollandiae in relation to the environment in the South Australian pastoral zone. Emu 91, 222–229 (1991).
Davies, S. Aspects of a study of emus in semi-arid Western Australia. Proc. Ecol. Soc. Aust. 3, 160–166 (1968).
Coddington, C. L. & Cockburn, A. The mating system of free-living emus. Aust. J. Zool. 43, 365–372 (1995).
Taylor, E. L., Blache, D., Groth, D., Wetherall, J. D. & Martin, G. B. Genetic evidence for mixed parentage in nests of the emu (Dromaius novaehollandiae). Behav. Ecol. Sociobiol. 47, 359–364 (2000).
Bradford, M. G., Dennis, A. J. & Westcott, D. A. Diet and dietary preferences of the southern cassowary (Casuarius casuarius) in North Queensland, Australia. Biotropica 40, 338–343 (2008).
Moore, L. Population ecology of the southern cassowary Casuarius casuarius johnsonii, Mission Beach north Queensland. J. Ornithol. 148, 357–366 (2007).
Fourcade, Y., Besnard, A. G. & Secondi, J. Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics. Glob. Ecol. Biogeogr. 27, 245–256 (2018).
Grice, D., Caughley, G. & Short, J. Density and distribution of emus. Wildl. Res. 12, 69–73 (1985).
Nield, A. P., Enright, N. J. & Ladd, P. G. Study of seed dispersal by Emu (Dromaius novaehollandiae) in the Jarrah (Eucalyptus marginata) forests of south-western Australia through satellite telemetry. Emu 115, 29–34 (2015).
Davies, S. The food of emus. Aust. J. Ecol. 3, 411–422 (1978).
Osborne, W. & Green, K. Seasonal changes in composition, abundance and foraging behavior of birds in the snowy mountains. Emu 92, 93–105 (1992).
Guisan, A. & Thuiller, W. Predicting species distribution: Offering more than simple habitat models. Ecol. Lett. 8, 993–1009 (2005).
Mackey, B. G. & Lindenmayer, D. B. Towards a hierarchical framework for modelling the spatial distribution of animals. J. Biogeogr. 28, 1147–1166 (2001).
Pearson, R. G. & Dawson, T. P. Predicting the impacts of climate change on the distribution of species: Are bioclimate envelope models useful?. Glob. Ecol. Biogeogr. 12, 361–371 (2003).
Warren, M. et al. Rapid responses of British butterflies to opposing forces of climate and habitat change. Nature 414, 65 (2001).
Thomas, C. D. Dispersal and extinction in fragmented landscapes. Proc. R. Soc. Lond. Ser. B Biol. Sci. 267, 139–145 (2000).
Quigley, M. C., Horton, T., Hellstrom, J. C., Cupper, M. L. & Sandiford, M. Holocene climate change in arid Australia from speleothem and alluvial records. Holocene 20, 1093–1104 (2010).
Shulmeister, J. & Lees, B. G. Pollen evidence from tropical Australia for the onset of an ENSO-dominated climate at c. 4000 BP. Holocene 5, 10–18 (1995).
Weber, L. C., VanDerWal, J., Schmidt, S., McDonald, W. J. & Shoo, L. P. Patterns of rain forest plant endemism in subtropical Australia relate to stable mesic refugia and species dispersal limitations. J. Biogeogr. 41, 222–238 (2014).
Avilés, J. M., Soler, J. J. & Pérez-Contreras, T. Dark nests and egg colour in birds: A possible functional role of ultraviolet reflectance in egg detectability. Proc. R. Soc. Lond. B Biol. Sci. 273, 2821–2829 (2006).
Lahti, D. C. & Ardia, D. R. Shedding light on bird egg color: Pigment as parasol and the dark car effect. Am. Nat. 187, 547–563 (2016).
Magige, F. J., Moe, B. & Røskaft, E. The white colour of the Ostrich (Struthio camelus) egg is a trade-off between predation and overheating. J. Ornithol. 149, 323–328 (2008).
Elith, J., Kearney, M. & Phillips, S. The art of modelling range-shifting species. Methods Ecol. Evol. 1, 330–342 (2010).
Maloney, S. & Dawson, T. Thermoregulation in a large bird, the emu (Dromaius novaehollandiae). J. Comp. Physiol. B. 164, 464–472 (1994).
Dawson, T., Herd, R. & Skadhauge, E. Water turnover and body water distribution during dehydration in a large arid-zone bird, the emu, Dromaius novaehollandiae. J. Comp. Physiol. 153, 235–240 (1983).
McKinney, M. L. Extinction vulnerability and selectivity: Combining ecological and paleontological views. Annu. Rev. Ecol. Syst. 28, 495–516 (1997).
Crandall, K. A., Bininda-Emonds, O. R., Mace, G. M. & Wayne, R. K. Considering evolutionary processes in conservation biology. Trends Ecol. Evol. 15, 290–295 (2000).
Dickman, C. R. Impact of exotic generalist predators on the native fauna of Australia. Wildl. Biol. 2, 185–195 (1996).
Elith, J. & Leathwick, J. R. Species distribution models: Ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. Syst. 40, 677–697 (2009).
Araújo, M. B., Pearson, R. G., Thuiller, W. & Erhard, M. Validation of species—climate impact models under climate change. Glob. Change Biol. 11, 1504–1513 (2005).
Thuiller, W. et al. Large-scale environmental correlates of forest tree distributions in Catalonia (NE Spain). Glob. Ecol. Biogeogr. 12, 313–325 (2003).
Pfennigwerth, S. “The mighty cassowary”: The discovery and demise of the King Island emu. Arch. Nat. Hist. 37, 74–90 (2010).
Heupink, T. H., Huynen, L. & Lambert, D. M. Ancient DNA suggests Dwarf and ‘Giant’Emu are conspecific. PLoS One 6, e18728 (2011).
Zizka, A. et al. CoordinateCleaner: Standardized cleaning of occurrence records from biological collection databases. Methods Ecol. Evol. 7, 744–751 (2019).
RStudio Team. RStudio: Integrated Development for R. RStudio, PBC, Boston, MA. http://www.rstudio.com (2020).
Phillips, S. J. et al. Sample selection bias and presence-only distribution models: Implications for background and pseudo-absence data. Ecol. Appl. 19, 181–197 (2009).
Fithian, W., Elith, J., Hastie, T. & Keith, D. A. Bias correction in species distribution models: Pooling survey and collection data for multiple species. Methods Ecol. Evol. 6, 424–438 (2015).
Molloy, S. W., Davis, R. A., Dunlop, J. A. & van Etten, E. Applying surrogate species presences to correct sample bias in species distribution models: A case study using the Pilbara population of the Northern Quoll. Nat. Conserv. 18, 27–46 (2017).
Baddeley, A., Rubak, E. & Turner, R. Spatial Point Patterns: Methodology and Applications with R (Chapman and Hall, London, 2015).
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G. & Jarvis, A. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. A J. R. Meteorol. Soc. 25, 1965–1978 (2005).
Rabus, B., Eineder, M., Roth, A. & Bamler, R. The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar. ISPRS J. Photogramme. Remote Sens. 57, 241–262 (2003).
Werner, M. Shuttle radar topography mission (SRTM) mission overview. Frequenz 55, 75–79 (2001).
ESRI, ArcGIS Desktop: Release 10. Redlands: Environmental Systems Research Institute (2011).
Hill, M. J., Lesslie, R., Barry, A. & Barry, S. A simple, portable, spatial multi-criteria analysis shell–MCAS-S. In MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand. 12–15 (2005).
Australian Government Department of Agriculture, Water and the Environment (ABARES), Australian Fire Frequency (1988–2015), Australian Government. http://www.agriculture.gov.au/abares/aclump/land-use/alum-classification (2016).
Australian Government Department of Environmen and Energy, Australian Vegetation Attribute Manual: National Vegetation Information System, Version 6.0, Canberra (2018).
National Aeronautics and Space Administration Socioeconomic Data and Applications Center. Gridded Population of the World v4 (2017).
Wildlife Conservation Society (WCS), and Center for International Earth Science Information Network (CIESIN). Last of the Wild Project, Version 2: Global Human Footprint Dataset (Geographic). NASA Socioeconomic Data and Applications Center (SEDAC). Columbia University. Palisades, NY (2005).
Dormann, C. F. et al. Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography 36, 27–46 (2013).
Merow, C., Smith, M. J. & Silander, J. A. Jr. A practical guide to MaxEnt for modeling species’ distributions: What it does, and why inputs and settings matter. Ecography 36, 1058–1069 (2013).
Guisan, A., Edwards, T. C. Jr. & Hastie, T. Generalized linear and generalized additive models in studies of species distributions: Setting the scene. Ecol. Model. 157, 89–100 (2002).
Marquaridt, D. W. Generalized inverses, ridge regression, biased linear estimation, and nonlinear estimation. Technometrics 12, 591–612 (1970).
Thuiller, W., Lafourcade, B., Engler, R. & Araújo, M. B. BIOMOD—a platform for ensemble forecasting of species distributions. Ecography 32, 369–373 (2009).
Araújo, M. B., Whittaker, R. J., Ladle, R. J. & Erhard, M. Reducing uncertainty in projections of extinction risk from climate change. Glob. Ecol. Biogeogr. 14, 529–538 (2005).
Anderson, R. P. & Gonzalez, I. Jr. Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent. Ecol. Model. 222, 2796–2811 (2011).
Fielding, A. H. & Bell, J. F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ. Conserv. 24, 38–49 (1997).
Allouche, O., Tsoar, A. & Kadmon, R. Assessing the accuracy of species distribution models: Prevalence, kappa and the true skill statistic (TSS). J. Appl. Ecol. 43, 1223–1232 (2006).
Hegel, T. M., Cushman, S. A., Evans, J. & Huettmann, F. Spatial Complexity, Informatics, and Wildlife Conservation 273–311 (Springer, Tokoyo, 2010).
Pearce, J. L. & Boyce, M. S. Modelling distribution and abundance with presence-only data. J. Appl. Ecol. 43, 405–412 (2006).
Hirzel, A. H., Le Lay, G., Helfer, V., Randin, C. & Guisan, A. Evaluating the ability of habitat suitability models to predict species presences. Ecol. Model. 199, 142–152 (2006).
Otto-Bliesner, B. L. et al. Last glacial maximum and Holocene climate in CCSM3. J. Clim. 19, 2526–2544 (2006).
Bi, D. et al. The ACCESS coupled model: Description, control climate and evaluation. Aust. Meteorol. Oceanogr. J. 63, 41–64 (2012).
Cooper, A. et al. Complete mitochondrial genome sequences of two extinct moas clarify ratite evolution. Nature 409, 704–707 (2001).
Yonezawa, T. et al. Phylogenomics and morphology of extinct paleognaths reveal the origin and evolution of the ratites. Curr. Biol. 27, 68–77 (2017).
Guillera-Arroita, G. et al. Is my species distribution model fit for purpose? Matching data and models to applications. Glob. Ecol. Biogeogr. 24, 276–292 (2015).
Hijmans, R. J., Phillips, S., Leathwick, J., & Elith, J. dismo: Species distribution modeling. R package v1.1-4 (2017).
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