I am the Matthew Flinders Professor of Global Ecology and Director of the Global Ecology Laboratory at Flinders University in Adelaide, South Australia. I am a lead CI in the ARC Centre of Excellence for Indigenous and Environmental Histories and Futures and formerly the Modelling Node Leader in the Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage. I am a mathematical ecologist specialising in biodiversity conservation and sustainability research. I use mathematics to bind disparate disciplines in the sciences and humanities to reveal and predict the behaviour of complex ecosystems. My goal is to limit the damage to the biosphere caused by human endeavour so that future generations can maximise health, wealth, and wellbeing (see also my CV here).
R Shiny apps
- project an age-classified population stochastically β app: LeslieMatrixShiny; R code
- ranking researchers fairly by citation performance (the 'Ξ΅-index') β app: EpsilonIndexShiny; R code
- ranking journals using multiple citation indices β app: JournalRankShiny; R code
- stochastic demographic models for Sahul megafauna species (see also individual models for some extant species included for comparison: red kangaroo π¦, short-beaked echidna, emu, spotted-tail quoll, common wombat, brush turkey)
- koala π¨ demographic and species distribution model
- demographic models predicting the effect of human hunting on now-extinct dwarf hippopotamus π¦ and dwarf elephant π in Cyprus π¨πΎ
- spatio-temporal models of megafauna extirpation in Sahul
- whaler shark π¦ (Carcharhinus brachyurus) sustainable harvest π£ model
- range changes in British birds π¦
- population model for Tasmanian devils
- density-independent processes decouple component and ensemble density feedbacks π
- stochastic population model for πΈ Litoria raniformis
- stochastic hydroecological metapopulation model for πΈ Litoria raniformis
- sustainable harvest of saltwater crocodiles π in the Northern Territory of Australia
- modelling eradication of feral pigs π on Kangaroo Island π¦πΊ
- InvaCost damage:management cost πΆ ratio
- temporal trends in InvaCost πΆ data
- testing variation in time from initiation of pursuit to death for feral fallow deer π¦ (Dama dama) in South Australia
- estimating the cost πΆ of invasive species to Australia π¦πΊ
invacostR package: global costs πΆ of biological invasions- correlating life history with status (threatened/invasive) of legumes π±
- effect of different culling regimes on feral pig π populations on Kangaroo Island (not age-structured)
- age-structured models for efficient and cost-effective eradiction of pigs π from Kangaroo Island
- ecological-economic models of sustainable harvest for banteng Bos javanicus in northern Australia
- stochastic models for predicting feral cat π eradication and costs on large islands
- power analyses for shark management strategies
- stochastic energetics model for whale sharks provided food π€ at an eco-tourism site
- long-range electric β‘ deterrent trials for reducing risk of white shark (Carcharodon carcharias) bites
- deterrent β‘ trials for devices used to reduce the incidence of white shark bites
- predicting shark bites in Australia
- whaler shark (Carcharhinus brachyurus) sustainable harvest π£ model
- Australian Shark-Incident Database π» (ASID)
- Stochastic epidemiological models to test the origin and demographic impact of smallpox π¦ on Aboriginal πͺ Australians in the 18th Century
- estimating the pre-colonial size of the Indigenous πͺ population in Australia
- global human population π« switch from self-facilitation
- projections of human populations in Cyprus π¨πΎ during the Late PleistoceneπΆβ
- resampled human population growth rates π for Sahul from 40-5 ka
- projections of human populations in Sahul through the Late Pleistocene-early HoloceneπΆβ
- βsuperhighwaysβ of human movement in Sahul combined with a demographic cellular automaton πΆβ
- cellular-automaton model of human spread across Sahul πΆββοΈ
- age-structured models of ancient humans entering Sahul π£
- projecting the Australian human population and its greenhouse-gas emissions π into the future π¨βπ©βπ§βπ§
- matrix projection models for the global human population π¨βπ©βπ§βπ§
- correlates of human fertility among low- and middle-income nations πΆ
- human expansion models ex-Africa πΆββοΈ
- intensification of Indo-Australian monsoon π§οΈ
- natural to anthropogenic shift in fire π₯ regime in Late Pleistocene Sahul
- relationships between environmental π₯¬ degradation and socio-economic variables among African π nations
- relationship between flooding π§οΈ and deforestation π³
- temporal shifts in intervals between extreme total annual rainfall βοΈ
- testing evidence for savanna corridors πΏ π³ in Southeast Asia since the Last Glacial Maximum π§
- global co-extinction 𦀠projections under climate π€οΈ and land-use ποΈ changes
- global sensitivity analysis for climate/land-use change co-extinctions 𦀠projections
- palaeo-ecological networks π for estimating trophic cascades of the Naracoorte community
- predicting predator-prey interactions in terrestrial endotherms using random forest π²π³
- planetary π annihilation co-extinctions 𦀠simulation π₯οΈ
- climate effects on incidence of low birth πΆ weight in Pakistan π΅π°
- predictors of diarrhoea π© in children π§ under five years old
- socio-economic and environmental π° determinants of child-health π§ outcomes among African π nations
- relationships between climate ππ§οΈ and child health πΆ in Australia π¦πΊ
- estimating effects of temporal β²οΈ distancing to reduce infection βοΈ risk
- predicting the interaction between diseases π¦ for European rabbits π to maximise biological control
- population model for Tasmanian devils
- anemometer πͺοΈ function: a handy function to create a simple anemometer π¬οΈ plot for anywhere in the world in R
- Roman-numeral date π & clock π : R code to produce a simple date π (Gregorian & Roman calendar in Latin) and clock π plot in Roman numerals. Works on a 24-hour system
- my papers sorted by Altmetric score (only the top-scoring papers included)
- π― papers π every ecologist should read
- gun deaths π ~ gun π« ownership analysis