10 pages., Via online journal., Development of natural resource user typologies has been viewed as a potentially
effective means of improving the effectiveness of natural resource management engagement
strategies. Prior research on Corn Belt farmers’ perspectives on climate change employed
a latent class analysis (LCA) that created a six-class typology—the Concerned, Uneasy,
Uncertain, Unconcerned, Confident, and Detached—to develop a better understanding of
farmer perspectives on climate change and inform more effective climate adaptation and
mitigation outreach strategies. The LCA employed 34 variables that are generally unobservable—beliefs about climate change, experience with extreme weather, perceived risks of
climate change, and attitudes toward climate action—to identify types. The research reported
in this paper builds on this typology of Corn Belt farmers by exploring 33 measures of observable farm enterprise characteristics, land management practices, and farmer demographics to
assess whether variations in these observable characteristics between the six farmer classes
display systematic patterns that might be sufficiently distinctive to guide audience segmentation strategies. While analyses detected some statistically significant differences, there were
few systematic, meaningful observable patterns of difference between groups of farmers with
differing perspectives on climate change. In other words, farmers who believe that anthropogenic climate change is occurring, that it poses risks to agriculture, and that adaptive action
should be taken, may look very much like farmers who deny the existence of climate change
and do not support action. The overall implication of this finding is that climate change
engagement efforts by Extension and other agricultural advisors should use caution when
looking to observable characteristics to facilitate audience segmentation. Additional analyses
indicated that the farmer types that tended to be more concerned about climate change and
supportive of adaptive action (e.g., Concerned and Uneasy) reported that they were more
influenced by key private and public sector actors in agricultural social networks. On the
other hand, farmers who were not concerned about climate change or supportive of adaptation (e.g., the Unconcerned, Confident, and Detached groups, comprising between one-third
and one-half of respondents) were less integrated into agricultural networks. This suggests that
Extension and other agricultural advisors should expand outreach efforts to farmers who are
not already within their spheres of influence.
11 pages., via online journal., Climate change impacts will affect grassland farming in various ways in the future. Communication and knowledge transfer are crucial to implement on-farm adaptation measures required to meet these challenges in a timely way. Therefore, we need to know how grassland farmers perceive climate change and which factors influence their attitude. We hypothesized that besides direct factors such as region, farm size, age and education, farmers’ socio-cultural background and their beliefs and attitudes are most important in their reaction to climate change. To investigate this, we conducted a survey with extensive on-farm interviews (n = 82) in four distinctive regions in the North German Plain on a gradient from sub-maritime to areas with sub-continental climate. We found that with a more continental climate and less rainfall and with increasing farm size, grassland farmers were more aware of the implications of climate change. In a second step, to categorize the influence of personal beliefs on decisions concerning farming, we applied the typology approach and distinguished four farming styles. Farmers in the four groups differed in terms of climate change awareness and adaptation preferences (P < 0.05). Yield Optimizers and Modernists were more open-minded to rational and economic facts and showed a significantly greater willingness to implement adaptation measures than Idealists and Traditionalists, who need to be addressed at a more emotional level. The results of this study may contribute to the development of better‐targeted adaptation policies that will serve specific groups of farmers more effectively.
