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Assessment of Historical Climate Variability in Maine with Implications for Future Agricultural Productivity and Adaptation.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Assessment of Historical Climate Variability in Maine with Implications for Future Agricultural Productivity and Adaptation./
Author:
Frank, Carly.
Description:
1 online resource (106 pages)
Notes:
Source: Masters Abstracts International, Volume: 84-06.
Contained By:
Masters Abstracts International84-06.
Subject:
Agriculture. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30195036click for full text (PQDT)
ISBN:
9798358407947
Assessment of Historical Climate Variability in Maine with Implications for Future Agricultural Productivity and Adaptation.
Frank, Carly.
Assessment of Historical Climate Variability in Maine with Implications for Future Agricultural Productivity and Adaptation.
- 1 online resource (106 pages)
Source: Masters Abstracts International, Volume: 84-06.
Thesis (M.Sc.)--The University of Maine, 2022.
Includes bibliographical references
Climate change is a wicked problem with global impacts, one of which being the sustainability of the existing global food system. As temperatures and variability in precipitation are projected to increase, the challenges to agriculture are expected to intensify. This thesis examines the Maine historical climate record over the growing season, in combination with future projections, to assess how conditions have changed and will change with agricultural implications. In this analysis, relevant climatic variables are analyzed, and agriculture-significant measures are derived for Maine's three climate divisions using four decades of daily and monthly gridded datasets. In addition, this thesis explores climate change risk perceptions of Maine wild blueberry growers and establishes a survey instrument which may be used to measure the risk perceptions of migrant workers in the state and within other regions of the United States, by drawing from and expanding upon the Climate Change Risk Perception Model (CCRPM). In all, this work will help inform climate adaptation and mitigation strategies for safeguarding the productivity, safety, and sustainability of food systems in Maine.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798358407947Subjects--Topical Terms:
518588
Agriculture.
Index Terms--Genre/Form:
542853
Electronic books.
Assessment of Historical Climate Variability in Maine with Implications for Future Agricultural Productivity and Adaptation.
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Assessment of Historical Climate Variability in Maine with Implications for Future Agricultural Productivity and Adaptation.
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Source: Masters Abstracts International, Volume: 84-06.
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Advisor: Birkel, Sean ; de Urioste-Stone, Sandra.
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Thesis (M.Sc.)--The University of Maine, 2022.
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Includes bibliographical references
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Climate change is a wicked problem with global impacts, one of which being the sustainability of the existing global food system. As temperatures and variability in precipitation are projected to increase, the challenges to agriculture are expected to intensify. This thesis examines the Maine historical climate record over the growing season, in combination with future projections, to assess how conditions have changed and will change with agricultural implications. In this analysis, relevant climatic variables are analyzed, and agriculture-significant measures are derived for Maine's three climate divisions using four decades of daily and monthly gridded datasets. In addition, this thesis explores climate change risk perceptions of Maine wild blueberry growers and establishes a survey instrument which may be used to measure the risk perceptions of migrant workers in the state and within other regions of the United States, by drawing from and expanding upon the Climate Change Risk Perception Model (CCRPM). In all, this work will help inform climate adaptation and mitigation strategies for safeguarding the productivity, safety, and sustainability of food systems in Maine.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30195036
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click for full text (PQDT)
based on 0 review(s)
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