Bradley Evans

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Savanna ecosystems comprise 22% of the global terrestrial surface and 25% of Australia (almost 1.9 million km2) and provide significant ecosystem services through carbon and water cycles and the maintenance of biodiversity. The current structure, composition and distribution of Australian savannas have coevolved with fire, yet remain driven by the dynamic(More)
OzFlux is the regional Australian and New Zealand flux tower network that aims to provide a continental-scale national research facility to monitor and assess trends, and improve predictions, of Australia’s terrestrial biosphere and climate. This paper describes the evolution, design, and current status of OzFlux as well as provides an overview of data(More)
Cooling rates of 10 -3 K/yr. permit naturally occurring Mn-Zn ferrites (franklinltes) to be in thermodynamic equilibrium at ambient temperatures with respect to both electrostatic and elastic energies. The elastic strain energy resulting from the occupancy of the A sites by ions of differing sizes is minimized by clustering of.Mn and Zn in different regions(More)
North Australian tropical savanna accounts for 12% of the world’s total savanna land cover. Accordingly, understanding processes that govern carbon, water and energy exchange within this biome is critical to global carbon and water budgeting. Climate and disturbances drive ecosystem carbon dynamics. Savanna ecosystems of the coastal and sub-coastal of north(More)
Land surface phenology (LSP) characterizes episodes of greening and browning of the vegetated land surface from remote sensing imagery. LSP is of interest for quantification and monitoring of crop yield, wildfire fuel accumulation, vegetation condition, ecosystem response and resilience to climate variability and change. Deriving LSP represents an effort(More)
Individual crown condition of Eucalyptus gomphocephala was assessed using two classification models to understand changes in forest health through space and time. Using high resolution (0.5 m) digital multispectral imagery, predictor variables were derived from textural and spectral variance of all pixels inside the crown area. The results estimate crown(More)
Martin G. De Kauwe, Yan-Shih Lin, Ian J. Wright, Belinda E. Medlyn, Kristine Y. Crous, David S. Ellsworth, Vincent Maire, I. Colin Prentice, Owen K. Atkin, Alistair Rogers, € Ulo Niinemets, Shawn P. Serbin, Patrick Meir, Johan Uddling, Henrique F. Togashi, Lasse Tarvainen, Lasantha K. Weerasinghe, Bradley J. Evans, F. Yoko Ishida and Tomas F. Domingues(More)
Regional climate models are sensitive to the forcing data used, as well as 1 different model physics options. Additionally, the behaviour of physics parameteri2 sations may vary depending on the location of the domain due to different climatic 3 regimes. In this study, we carry out a sensitivity analysis of the Weather Research 4 Jatin Kala Australian(More)