To inform more realistic representations of farmer decision making in agent-based simulation models applied to agricultural adaptation assessment at the regional scale, the present thesis investigates three areas of central importance for judgments about farm-level reactions to climate change: (i) perception of changes in local weather conditions and expectations about their effects; (ii) reception of signals from the biophysical environment and their interpretation in terms of socially constructed understandings of climate change, farm-level risks, and perceived adaptation capacity; and (iii) the nature of expectation mechanisms involved in the formation of judgments about climatic changes. For this purpose, three types of empirical appro...
U.S. agriculture is likely to be affected by climate change due to its inherent reliance on climatic...
The findings of the thesis allowed assessing plausible futures of agriculture in Flevoland around 20...
Integrated land use models (ILM) featuring agronomic and economic drivers of land use are frequently...
Individuals and communities socially construct risk, and societies with greater risk perception may ...
As the impact of climate change on the agricultural sector has begun to manifest itself in its sever...
We present an agent-based model of climate change adaptation for the agricultural sector of the Cent...
Modelling agricultural adaptation to climate change presents a range of challenges for modellers, bu...
Climate change is arguably the most severe and complex challenge facing today’s society, a cross-cut...
Climate change is a global and slow process that affects humans all over the world. Climate adaption...
Climate change is arguably the most severe and complex challenge facing today’s society, a cross-cut...
“Adaptation to climate change” as a new field of knowledge challenges agricultural and horticultural...
AbstractMost climate change studies that address potential impacts and potential adaptation strategi...
Modelling is key to adapting agriculture to climate change (CC), facilitating evaluation of the impa...
In this thesis, farmers` perceptions of climate change have been examined. Questionnaires were sent ...
Climate change tends to be addressed by accurate statistics and modelling, but it is generally perce...
U.S. agriculture is likely to be affected by climate change due to its inherent reliance on climatic...
The findings of the thesis allowed assessing plausible futures of agriculture in Flevoland around 20...
Integrated land use models (ILM) featuring agronomic and economic drivers of land use are frequently...
Individuals and communities socially construct risk, and societies with greater risk perception may ...
As the impact of climate change on the agricultural sector has begun to manifest itself in its sever...
We present an agent-based model of climate change adaptation for the agricultural sector of the Cent...
Modelling agricultural adaptation to climate change presents a range of challenges for modellers, bu...
Climate change is arguably the most severe and complex challenge facing today’s society, a cross-cut...
Climate change is a global and slow process that affects humans all over the world. Climate adaption...
Climate change is arguably the most severe and complex challenge facing today’s society, a cross-cut...
“Adaptation to climate change” as a new field of knowledge challenges agricultural and horticultural...
AbstractMost climate change studies that address potential impacts and potential adaptation strategi...
Modelling is key to adapting agriculture to climate change (CC), facilitating evaluation of the impa...
In this thesis, farmers` perceptions of climate change have been examined. Questionnaires were sent ...
Climate change tends to be addressed by accurate statistics and modelling, but it is generally perce...
U.S. agriculture is likely to be affected by climate change due to its inherent reliance on climatic...
The findings of the thesis allowed assessing plausible futures of agriculture in Flevoland around 20...
Integrated land use models (ILM) featuring agronomic and economic drivers of land use are frequently...