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.
16 pages., Via online journal., This study explores potential factors that lead to environmental opinion leadership behaviors such as informing the public about environmental issues and encouraging preventative behaviors among various social groups. Building on the theoretical framework of the diffusion of innovations model, these analyses explore the effects that mass media may have on perceptions of self-efficacy among opinion leaders and how self-efficacy may, in turn, encourage leaders to communicate about aquatic invasive species (AIS) to others in their social networks. Results indicate that mass media and governmental media can have both a positive and negative influence on levels of self-efficacy, and that opinion leaders with higher levels of self-efficacy are more likely to participate in behaviors that could potentially influence their social network(s). These findings not only highlight factors that influence opinion leadership regarding advocacy of environmental behaviors, but also offer insights as to how future campaigns can work with these groups to promote prevention strategies.
17 pages., via online journal article, The Sustainable Forestry and African American Land Retention
Program (SFLR) was launched in 2012 to increase adoption of sustainable forestry practices among African American landowners in
the southeastern United States to prevent land loss, increase forest
health, and build economic assets. One of its main goals was to
build communication networks through which African American
landowners could obtain and share information about forestry practices and landowner assistance programs independent of public agencies. To measure and examine the growth of these communication
networks over a three-year period (2014-2017), we conducted 87
interviews with landowners (24 of whom were interviewed multiple
times), SFLR personnel, and Federal and State staff members in
North Carolina. We used complementary methods of data gathering
and analysis, including social network analysis and qualitative analysis. Our results showed expanding communication networks will be
sustained independently of the program over time, although there is
still a heavy reliance on program personnel.
