Leiserowitz, A. (author), Maibach, E. (author), Rosenthal, S. (author), Kotcher, J. (author), Bergquist, P. (author), Ballew, M. (author), Goldberg, M. (author), and Gustafson, A. (author)
Format:
Research summary
Publication Date:
2019
Published:
USA: Yale Program on Climate Change Communication at Yale University and Center for Climate Change Communication at George Mason University.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 136 Document Number: D11420
Notes:
71 pages., Via Yale Program on Climate Change website., This report is based on findings from a nationally representative survey, March 29-April 8, 2019, among 1,291 U.S. adults. Findings provided detailed insights about current attitudes toward existence of global warming, causes of it, effects of it, level of concern, interactions and sources of information about it, and other aspects.
Research among experienced environmental journalists reveals a shift since 2000 in their view of "balance," as an element of objectivity. They now advocate a "weight of evidence" approach where stories reflect scientific consensus.
Perspectives on USDA recommendation for staff members to refer to "climate change" as "weather extremes" and "climate change adaption" to "resilience to weather extremes."
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.
10 pages., Smallholder farmers in Afghanistan are already facing various risks in agricultural production due to past continuous insurgencies. Climate change is likely to amplify the risk and make them even more vulnerable. The present study attempted to evaluate the vulnerability profiles of smallholder farmers due to climate change using the IPCC Framework. Primary data on relevant parameters for assessing climate change-led social vulnerability in the region were collected by classifying study region into two zones: the plain and the hills of Yangi Qala District in Takhar province, Afghanistan. Thirteen villages from each zone were selected at random, and face-to-face interviews were conducted with ten randomly selected households in each of the selected villages in both zones based on a pre-tested questionnaire. The questionnaire contained indicators for all three dimensions of vulnerability: exposure, sensitivity and adaptive capacity. The collected data were subjected to a proposed vulnerability index, after estimating the indices of the three dimensions of vulnerability. The Iyenger and Sudershan weighting method was used to assess the contribution of each vulnerability dimension. Vulnerability was classified according to different categories based on beta distribution to evaluate the villages’ vulnerability status. The results showed that about 23% of all 26 sampled villages in both zones had low exposure, 26% moderate exposure and 51% high exposure to climate-change hazards and extreme weather events. High sensitivity was observed in 51%, moderate sensitivity in 7%, and low sensitivity in 42% of villages. High adaptive capacity to climate change was observed in 38% of villages, 19% were moderately adaptive and 42% showed a low adaptive capacity. High vulnerability was observed in 50% of villages, 4% were moderately vulnerable, and 46% had low vulnerability. A high proportion of smallholder farmers in the hilly zone in the sampled district were highly vulnerable, exposed and sensitive with a low adaptive capacity to climate change compared to the plain zone. The high vulnerability in the hilly zone was attributed to limited resources with a low adjustment capability to counter the disturbances, especially in crop cultivation, in response to climate change. A handful of low-cost and local approaches such as improving farmer extension services, introducing small-scale local infrastructure projects, reinforcing informal safety nets and protecting natural ecosystems could be viable cost-effective options that would also be sustainable given their low recurring costs and the limited maintenance required.
10 pages, Ongoing climate change and associated food security concerns are pressing issues globally, and are of particular concern in the far north where warming is accelerated and markets are remote. The objective of this research was to model current and projected climate conditions pertinent to gardeners and farmers in Alaska. Research commenced with information-sharing between local agriculturalists and climate modelers to determine primary questions, available data, and effective strategies. Four variables were selected: summer season length, growing degree days, temperature of the coldest winter day, and plant hardiness zone. In addition, peonies were selected as a case study. Each variable was modeled using regional projected climate data downscaled using the delta method, followed by extraction of key variables (e.g., mean coldest winter day for a given decade). An online interface was developed to allow diverse users to access, manipulate, view, download, and understand the data. Interpretive text and a summary of the case study explained all of the methods and outcomes. The results showed marked projected increases in summer season length and growing degree days coupled with seasonal shifts and warmer winter temperatures, suggesting that agriculture in Alaska is undergoing and will continue to undergo profound change. This presents opportunities and challenges for farmers and gardeners.
