<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Mixed methods approach to understanding farmer and agricultural advisor perceptions of climate change and adaptation in Vermont, United States

descriptionPublicationkeyboard_double_arrow_right Article , Journal 25 Sep 2017 United States Publisher:Informa UK LimitedJournal:Agroecology and Sustainable Food Systems, volume 42, pages 121-148 (issn: 2168-3565, eissn: 2168-3573,

Authors: Rachel E. Schattman; V. Ernesto Méndez; Scott C. Merrill; Asim Zia;

doi: 10.1080/21683565.2017.1357667

Mixed methods approach to understanding farmer and agricultural advisor perceptions of climate change and adaptation in Vermont, United States

- Summary
- Subjects
- Metrics

Abstract

The relationships among farmers’ belief in climate change, perceptions of climate-related risk, and use of climate adaptation practices is a growing topic of interest in U.S. scholarship. The north...

Country

United States

Related Organizations

United States Department of the Interior
United States
United States Department of the Interior
United States
University of Vermont
United States
University of Vermont
United States
United States Department of Agriculture
United States

Keywords

agroecology, Climate Solutions, Climate, Agriculture, Sustainable Agriculture, best management practices, climate change, Sustainability, risk

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	30
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%