1 - 3 of 3
Number of results to display per page
Search Results
2. How good are past predictions of global warming?
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Wigley, Tom M.L. (author / University of Adelaide, South Australia)
- Format:
- Journal article
- Publication Date:
- 2020
- Published:
- International
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 163 Document Number: D11643
- Journal Title:
- Skeptical Inquirer
- Journal Title Details:
- 44(2)
- Notes:
- 8 pages., Online issue., "Critics of climate science claim that climate models lack predictive skill. In fact, some of the earliest predictions made thirty years ago have performed remarkably well." ... "the bad news is that in terms of action, we are still only scratching the surface of responses needed...to prevent 'dangerous anthropogenic interference with the climate system.' The real challenges lie ahead."
3. Pennsylvania agricultural producers' observations of changing environmental conditions: implications for research and extension
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Thorn, Kaila (author), Radhakrishna, Rama (author), and Tobin, Daniel (author)
- Format:
- Journal article
- Publication Date:
- 2020-08
- Published:
- United States: Extension Journal, Inc.
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12331
- Journal Title:
- Journal of Extension
- Journal Title Details:
- v. 57, n. 4
- Notes:
- 9 pages, To understand environmental conditions Pennsylvania agricultural producers had observed in the past and what their environmental concerns were for the future, we conducted a statewide survey. We used Spearman rank order correlations to show differences between past observations and future concerns regarding environmental conditions and found a disconnect between what respondents previously had observed and their anticipations for the future. Additionally, we used chi-square analysis to determine whether perspectives on environmental conditions were related to producer demographic characteristics. Two demographic variables were significant: generation of farmer and political affiliation. Our findings can assist Extension professionals in developing programs tailored to target audiences' environmental perceptions and demographics.