12 pages., via online journal., Development of extension and outreach that effectively engage farmers in climate
change adaptation and/or mitigation activities can be informed by an improved understanding of farmers’ perspectives on climate change and related impacts. This research employed
latent class analysis (LCA) to analyze data from a survey of 4,778 farmers from 11 US Corn
Belt states. The research focused on two related research questions: (1) to what degree do
farmers differ on key measures of beliefs about climate change, experience with extreme
weather, perceived risks to agriculture, efficacy, and level of support for public and private adaptive and mitigative action; and (2) are there potential areas of common ground
among farmers? Results indicate that farmers have highly heterogeneous perspectives, and
six distinct classes of farmers are identified. We label these as the following: the concerned
(14%), the uneasy (25%), the uncertain (25%), the unconcerned (13%), the confident (18%),
and the detached (5%). These groups of farmers differ primarily in terms of beliefs about
climate change, the degree to which they had experienced extreme weather, and risk perceptions. Despite substantial differences on these variables, areas of similarity were discerned
on variables measuring farmers’ (1) confidence that they will be able to deal with increases
in weather variability and (2) support for public and private efforts to help farmers adapt to
increased weather variability. These results can inform segmented approaches to outreach that
target subpopulations of farmers as well as broader engagement strategies that would reach
wider populations. Further, findings suggest that strategies with specific reference to climate
change might be most effective in engaging the subpopulations of farmers who believe that
climate change is occurring and a threat, but that use of less charged terms such as weather
variability would likely be more effective with a broader range of farmers. Outreach efforts
that (1) appeal to farmers’ problem solving capacity and (2) employ terms such as “weather
variability” instead of more charged terms such as “climate change” are more likely to be
effective with a wider farmer audience.
5 pages., Article # 5IAW3, via online journal., A storytelling session was successful in raising awareness and understanding of the types of changes in weather patterns farmers are experiencing in Maine, what impacts those changes are having on their operations, and the changes farmers are making in response. Using an outreach approach rooted in farmer stories allowed us to bypass the controversy that often surrounds topics related to climate change. Likewise, focusing on the farmers' experiences and avoiding corrective statements during this introductory session resulted in productive dialogue. We recommend replicating this approach within different agricultural sectors to increase understanding of sector-specific risks and strategies for adaptation.
25pgs, We combine farm accounting data with high-resolution meteorological data, and climate scenarios to estimate climate change impacts and adaptation potentials at the farm level. To do so, we adapt the seminal model of Moore and Lobell (2014) who applied panel data econometrics to data aggregated from the farm to the regional (subnational) level. We discuss and empirically investigate the advantages and challenges of applying such models to farm-level data, including issues of endogeneity of explanatory variables, heterogeneity of farm responses to weather shocks, measurement errors in meteorological variables, and aggregation bias. Empirical investigations into these issues reveal that endogeneity due to measurement errors in temperature and precipitation variables, as well as heterogeneous responses of farms toward climate change may be problematic. Moreover, depending on how data are aggregated, results differ substantially compared to farm-level analysis. Based on data from Austria and two climate scenarios (Effective Measures and High Emission) for 2040, we estimate that the profits of farms will decline, on average, by 4.4% (Effective Measures) and 10% (High Emission). Adaptation options help to considerably ameliorate the adverse situation under both scenarios. Our results reinforce the need for mitigation and adaptation to climate change.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 146 Document Number: D06637
Notes:
Reference and discussion piece for an introductory course in agricultural and environmental communications (AGCM 119) at the University of Illinois. 2 pp.
