Marcel Cardillo

I did my PhD at the University of Queensland, then spent a few years in the UK, first at the Institute of Zoology, then at Imperial College London, before returning to Australia and joining ANU in 2008.

Research interests

We work on a range of questions in macroecology, macroevolution, biogeography, community ecology, and conservation biology, mostly using a comparative or computational modelling approach. We are primarily interested in how we can infer the kinds of evolutionary and ecological processes that have shaped the patterns of biodiversity that we see today.

For more details, please go to the webpage for the Macroevolution and Macroecology Group.

  • Selected recent publications

Bromham, L. & Cardillo, M. (2019) Origins of Biodiversity: An Introduction to Macroevolution and Macroecology. Oxford University Press

Hua, X., Greenhill, S., Cardillo, M., Schneeman, H. & Bromham, L. (2019) The ecological drivers of variation in global language diversity. Nature Communications 10:2047

Skeels, A. & Cardillo, M. (2019) Reconstructing the geography of speciation from contemporary biodiversity data. The American Naturalist 193: 240-255

Cardillo, M., Weston, P.H., Reynolds, Z.M., Olde, P.M., Mast, A.R., Lemmon, E., Lemmon, A.R., Bromham, L. (2017) The phylogeny and biogeography of Hakea (Proteaceae) reveals the role of biome shifts in a continental plant radiation. Evolution 71: 1928-1943

Skeels, A. & Cardillo, M. (2017) Environmental niche conservatism explains the accumulation of species richness in Mediterranean-hotspot plant genera. Evolution 71: 582-594

Cardillo, M. & Skeels, A. (2016) Spatial, phylogenetic, environmental and biological components of variation in extinction risk: a case study using Banksia. PLoS One

Duchene, D. & Cardillo, M. (2015) Phylogenetic patterns in bird geographic distributions support the tropical conservatism hypothesis. Global Ecology & Biogeography 24: 1261-1268

Warren, D.L., Cardillo, M., Rosauer, D.F., Bolnick, D.I. (2014) Mistaking geography for biology: inferring processes from species distributions. Trends in Ecology & Evolution 29: 572-580


All publications

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