Abstract: Rather than on crop modelling only, climate change impact assessments in agriculture  need to be based on integrated assessment and farming systems analysis, and account for  adaptation at different levels. With a case study for Flevoland, the Netherlands, we  illustrate that 1) crop models cannot account for all relevant climate change impacts and  adaptation options, and 2) changes in technology, policy and prices have had and are likely  to have larger impacts on farms than climate change. While crop modelling indicates  positive impacts of climate change on yields of major crops in 2050, a semi-quantitative  and participatory method assessing impacts of extreme events shows that there are  nevertheless several climate risks. A range of adaptation measures are, however, available  to reduce possible negative effects at crop level. In addition, at farm level farmers can  change cropping patterns, and adjust inputs and outputs. Also farm structural change will  influence impacts and adaptation. While the 5th IPCC report is more negative regarding  impacts of climate change on agriculture compared to the previous report, also for  temperate regions, our results show that when putting climate change in context of other  drivers, and when explicitly accounting for adaptation at crop and farm level, impacts may  be less negative in some regions and opportunities are revealed. These results refer to a  temperate region, but an integrated assessment may also change perspectives on climate  change for other parts of the world. No Label

Abstract: Future farming systems are challenged to adapt to the changing socio-economic and bio-physical environment in order to remain competitive and to meet the increasing requirements for food and fibres. The scientific challenge is to evaluate the consequences of predefined scenarios, identify current “best” practices and explore future adaptation strategies at farm level. The objective of this article is to assess the impact of different climate change and socio-economic scenarios on arable farming systems in Flevoland (the Netherlands) and to explore possible adaptation strategies. Data Envelopment Analysis was used to identify these current “best” practices while bio-economic modelling was used to calculate a number of important economic and environmental indicators in scenarios for 2050. Relative differences between yields with and without climate change and technological change were simulated with a crop bio-physical model and used as a correction factors for the observed crop yields of current “best” practices. We demonstrated the capacity of the proposed methodology to explore multiple scenarios by analysing the importance of drivers of change, while accounting for variation between individual farms. It was found that farmers in Flevoland are in general technically efficient and a substantial share of the arable land is currently under profit maximization. We found that climate change increased productivity in all tested scenarios. However, the effects of different socio-economic scenarios (globalized and regionalized economies) on the economic and environmental performance of the farms were variable. Scenarios of a globalized economy where the prices of outputs were simulated to increase substantially might result in increased average gross margin and lower average (per ha) applications of crop protection and fertilizers. However, the effects might differ between different farm types. It was found that, the abolishment of sugar beet quota and changes of future prices of agricultural inputs and outputs in such socio-economic scenario (i.e. globalized economy) caused a decrease in gross margins of smaller (in terms of economic size) farms, while gross margin of larger farms increased. In scenarios where more regionalized economies and a moderate climate change are assumed, the future price ratios between inputs and outputs are shown to be the key factors for the viability of arable farms in our simulations. (C) 2013 Elsevier B.V. All rights reserved.