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 the Modelling Node Leader in the Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, and a lead CI in the ARC Centre of Excellence for Indigenous and Environmental Histories and Futures. 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 — app: LeslieMatrixShiny; R code
- ranking researchers fairly by citation performance (the 'ε-index') — app: EpsilonIndexShiny; R code
- ranking journals using multiple citation indices — app: JournalRankShiny; R code
- stochastic demographic models for Sahul megafauna species (see also individual models for some extant species included for comparison: red kangaroo 🦘, short-beaked echidna, emu, spotted-tail quoll, common wombat, brush turkey)
- koala 🐨 demographic and species distribution model
- demographic models predicting the effect of human hunting on now-extinct dwarf hippopotamus 🦛 and dwarf elephant 🐘 in Cyprus 🇨🇾
- spatio-temporal models of megafauna extirpation in Sahul
- whaler shark (Carcharhinus brachyurus) sustainable harvest 🎣 model
- range changes in British birds 🐦
- population model for Tasmanian devils
- density-independent processes decouple component and ensemble density feedbacks 📉
- stochastic population model for 🐸 Litoria raniformis
- stochastic hydroecological metapopulation model for 🐸 Litoria raniformis
- sustainable harvest of saltwater crocodiles 🐊 in the Northern Territory of Australia
- InvaCost damage:management cost 💶 ratio
- temporal trends in InvaCost 💶 data
- testing variation in time from initiation of pursuit to death for feral fallow deer (Dama dama) in South Australia
- estimating the cost 💶 of invasive species to Australia 🇦🇺
invacost
R package: global costs 💶 of biological invasions- correlating life history with status (threatened/invasive) of legumes 🌱
- effect of different culling regimes on feral pig 🐖 populations on Kangaroo Island (not age-structured)
- age-structured models for efficient and cost-effective eradiction of pigs 🐖 from Kangaroo Island
- ecological-economic models of sustainable harvest for banteng Bos javanicus in northern Australia
- stochastic models for predicting feral cat 🐈 eradication and costs on large islands
- power analyses for shark management strategies
- stochastic energetics model for whale sharks provided food 🍤 at an eco-tourism site
- long-range electric ⚡ deterrent trials for reducing risk of white shark (Carcharodon carcharias) bites
- deterrent ⚡ trials for devices used to reduce the incidence of white shark bites
- predicting shark bites in Australia
- whaler shark (Carcharhinus brachyurus) sustainable harvest 🎣 model
- Australian Shark-Incident Database 💻 (ASID)
- estimating the pre-colonial size of the Indigenous 🪃 population in Australia
- global human population 🫂 switch from self-facilitation
- projections of human populations in Cyprus 🇨🇾 during the Late Pleistocene🚶
- resampled human population growth rates 📈 for Sahul from 40-5 ka
- projections of human populations in Sahul through the Late Pleistocene-early Holocene🚶
- ‘superhighways’ of human movement in Sahul combined with a demographic cellular automaton 🚶
- cellular-automaton model of human spread across Sahul 🚶♀️
- age-structured models of ancient humans entering Sahul 🚣
- projecting the Australian human population and its greenhouse-gas emissions 🏭 into the future 👨👩👧👧
- matrix projection models for the global human population 👨👩👧👧
- correlates of human fertility among low- and middle-income nations 👶
- human expansion models ex-Africa 🚶♂️
- intensification of Indo-Australian monsoon 🌧️
- natural to anthropogenic shift in fire 🔥 regime in Late Pleistocene Sahul
- relationships between environmental 🥬 degradation and socio-economic variables among African 🌍 nations
- relationship between flooding 🌧️ and deforestation 🌳
- temporal shifts in intervals between extreme total annual rainfall ⛈️
- testing evidence for savanna corridors 🌿 🌳 in Southeast Asia since the Last Glacial Maximum 🧊
- global co-extinction projections under climate 🌤️ and land-use 🏙️ changes
- global sensitivity analysis for climate/land-use change co-extinctions projections
- palaeo-ecological networks 🔗 for estimating trophic cascades of the Naracoorte community
- predicting predator-prey interactions in terrestrial endotherms using random forest 🌲🌳
- planetary 🌐 annihilation co-extinctions simulation 🖥️
- predictors of diarrhoea 💩 in children 🧒 under five years old
- socio-economic and environmental 🚰 determinants of child-health 🧒 outcomes among African nations
- relationships between climate 🌞🌧️ and child health 👶 in Australia 🇦🇺
- estimating effects of temporal ⏲️ distancing to reduce infection ⚕️ risk
- predicting the interaction between diseases 🦠 for European rabbits 🐇 to maximise biological control
- population model for Tasmanian devils
- anemometer function: a handy function to create a simple anemometer 🌬️ plot for anywhere in the world in R
- Roman-numeral date & clock: R code to produce a simple date 📆 (Gregorian & Roman calendar in Latin) and clock 🕙 plot in Roman numerals. Works on a 24-hour system
- my papers sorted by Altmetric score (only the top-scoring papers included)
- 💯 papers 📖 every ecologist should read
- gun deaths 💀 ~ gun 🔫 ownership analysis