Predicting the ecological and economic outcomes of trade
Grant number: DP170104795 | Funding period: 2017 - 2021
This project aims to understand and predict the effects of global trade on land use and biodiversity.Growth in international trade increases trade-mediated land-use by increasing demand for commodities directly or indirectly derived from the land. Accurate predictions of trade effects and opportunities would allow governments to maximise ecological and economic benefits and minimise effects through judicious planning and regulation, but such analyses do not exist. This project expects to advance trade policy evaluation by improving and integrating computable global equilibrium models and land-use and ecological models to better characterise consequences of trade.
Related publications (3)
Identifying uncertainties in scenarios and models of socio-ecological systems in support of decision-making
Mark DA Rounsevell, Almut Arneth, Calum Brown, William WL Cheung, Olivier Gimenez, Ian Holman, Paul Leadley, Criscely Lujan, Stephanie Mahevas, Isabelle Marechaux, Raphael Pelissier, Peter H Verburg, Ghislain Vieilledent, Brendan A Wintle, Yunne-Jai Shin
There are many sources of uncertainty in scenarios and models of socio-ecological systems, and understanding these uncertainties i..
Assessing biophysical and socio-economic impacts of climate change on regional avian biodiversity
Simon Kapitza, Pham Van Ha, Tom Kompas, Nick Golding, Natasha CR Cadenhead, Payal Bal, Brendan A Wintle
Climate change threatens biodiversity directly by influencing biophysical variables that drive species' geographic distributions a..