Biogeography, Ecology, & Modelling (BEAM)
Ngura Nandamari
Methodologies & predictive tools
Advancing ecological research requires innovative methods to address complex environmental challenges. Our team develops and applies state-of-the-art models, such as process-based and cellular automaton models, to predict species distribution, migration patterns, and ecosystem changes.
By integrating biological, climatic, and geospatial data, we create tools that enhance decision-making for conservation and sustainable resource management.
Main contributions
Saltré, F., et al, (2025). Balancing overpopulation and conservation targets to optimize koala management strategies. Ecology & Evolution, 15 (1): 4364.
Hamnett, P., et al, (2024). Stochastic population models to identify optimal and cost-effective harvest strategies for feral pig eradication. Ecosphere, 15 (1): 4364.
Mathwin, R., et al, (2024). Stochastic metapopulation dynamics of a threatened amphibian to improve water delivery. Proceedings of the National Academy of Sciences, 121 (1) e2311280120.
Bradshaw, CJA., et al., (2024). Damage costs from invasive species exceed management expenditure in nations experiencing lower economic activity. Quaternary Geochronology, 79: 101489.
Mathwin, R., et al, (2024). Modeling the effects of water regulation on the population viability of a threatened amphibian. Nature Communications, 10:5311.
Venning, KWR., et al, (2021). Predicting targets and costs for feral-cat reduction on large islands using stochastic population models. Ecography 42: 1587-1599.
Roy-Dufresne, E., et al, (2019). Modelling the distribution of a wide-ranging invasive species using the sampling efforts of expert and citizen scientists. Global Change Biology, 24: 1371-1381.
Roy-Dufresne, E., et al, (2019). The Australian National Rabbit Database. Nature Communications, 7(1): 10511.
Fordham, D., et al, (2016). Predicting and mitigating future biodiversity loss using long-term ecological proxies. Method in Ecology & Evolution, 6(3): 247-256.
Saltré, F., et al, (2015). How climate, migration ability, and habitat fragmentation affect the projected future distribution of European beech. Global Change Biology, 21(2): 897-910.