Edwina Heyhoe

TL;DR: This study identifies where models disagree on the relative responses to climate shocks and highlights research activities needed to improve the representation of agricultural adaptation responses toClimate change.

TL;DR: In this paper, the authors compare food demand projections in 2050 for various regions and agricultural products under harmonized scenarios of socioeconomic development, climate change, and bioenergy expansion, and find that the results are more sensitive to socioeconomic assumptions than to climate change or bioenergy scenarios.

TL;DR: In this article, the authors present a comparison of global agroeconomic models that have harmonized drivers of population, GDP, and biophysical yields, including four partial and six general equilibrium models that differ in how they model land supply and amount of potentially available land.

TL;DR: In this article, the authors present climate change results and underlying determinants from a model comparison exercise with 10 of the leading global economic models that include significant representation of agriculture, and highlight the need to more fully compare the deep model parameters, to generate a call for a combination of econometric and validation studies to narrow the degree of uncertainty and variability in these parameters and to move to Monte Carlo type simulations to better map the contours of economic uncertainty.

TL;DR: In this paper, it was shown that some regions in Australia that are highly dependent on agriculture could experience considerable economic losses as a result of climate change, however, adaptation to the impacts of climate changes, including improved farming technologies and practices, can reduce the size of these losses.