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Factors influencing state and nation...
~
La Peyre, Megan Kinley Greiner.
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Factors influencing state and nation wetland management: Building effective management models.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Factors influencing state and nation wetland management: Building effective management models./
作者:
La Peyre, Megan Kinley Greiner.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2000,
面頁冊數:
230 p.
附註:
Source: Dissertations Abstracts International, Volume: 62-01, Section: A.
Contained By:
Dissertations Abstracts International62-01A.
標題:
Geography. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9963951
ISBN:
9780599682061
Factors influencing state and nation wetland management: Building effective management models.
La Peyre, Megan Kinley Greiner.
Factors influencing state and nation wetland management: Building effective management models.
- Ann Arbor : ProQuest Dissertations & Theses, 2000 - 230 p.
Source: Dissertations Abstracts International, Volume: 62-01, Section: A.
Thesis (Ph.D.)--Louisiana State University and Agricultural & Mechanical College, 2000.
Recognition that the interaction of people and nature is implicit in every environmental problem has increased over the last century. Yet, solutions to environmental problems are impeded by uncertainty concerning the importance of socioeconomic and political conditions in dealing with environmental issues. The development of interdisciplinary management models is necessary in order to address both the biological and social causes of environmental degradation. Protection of wetland systems varies among both nations and US. states. This variation provides a unique opportunity to explore the hypothesis that socioeconomic, political and environmental variables are critical influences on wetland protection. Structural equation modeling and logistic regression were used to identify the effects of social, economic, political and environmental variables on the level of wetland protection. Wetland management outcome data were used to evaluate the success of wetland programs in the U.S. State and nation data supported the hypothesis that local conditions influence wetland management. At the national level, 57 percent of the variation in wetland protection could be explained by five predictor variables: social and economic capital, environmental and political characteristics and land use pressure. Social capital (i.e. education) was found to have the greatest influence on wetland protection overall. At the state level, environmental groups (p < 0.005) and the importance of fisheries and industry (p < 0.005) increased the likelihood of a strong wetland program, while increased population density (p < 0.15) had the opposite effect. The collection of outcome data for wetland programs suggests that monitoring and evaluation is spotty at best, and a set of indicators are suggested that would allow comparisons between states. These find argue for management approaches that are both responsive to local condition, and are adaptive by integrating socioeconomic trends into decision-making processes. Overall, a multi-disciplinary approach to environmental management leads to the recognition of a range of factors influencing management actions and outcomes suggesting an expanded range and flexibility of opportunities for intervention. The results of this research argue that the issue of wetland protection is a compelling example of how a combination of social, political, economic and environmental factors can serve as important elements in environmental management and conservation.
ISBN: 9780599682061Subjects--Topical Terms:
524010
Geography.
Subjects--Index Terms:
Environmental management
Factors influencing state and nation wetland management: Building effective management models.
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Recognition that the interaction of people and nature is implicit in every environmental problem has increased over the last century. Yet, solutions to environmental problems are impeded by uncertainty concerning the importance of socioeconomic and political conditions in dealing with environmental issues. The development of interdisciplinary management models is necessary in order to address both the biological and social causes of environmental degradation. Protection of wetland systems varies among both nations and US. states. This variation provides a unique opportunity to explore the hypothesis that socioeconomic, political and environmental variables are critical influences on wetland protection. Structural equation modeling and logistic regression were used to identify the effects of social, economic, political and environmental variables on the level of wetland protection. Wetland management outcome data were used to evaluate the success of wetland programs in the U.S. State and nation data supported the hypothesis that local conditions influence wetland management. At the national level, 57 percent of the variation in wetland protection could be explained by five predictor variables: social and economic capital, environmental and political characteristics and land use pressure. Social capital (i.e. education) was found to have the greatest influence on wetland protection overall. At the state level, environmental groups (p < 0.005) and the importance of fisheries and industry (p < 0.005) increased the likelihood of a strong wetland program, while increased population density (p < 0.15) had the opposite effect. The collection of outcome data for wetland programs suggests that monitoring and evaluation is spotty at best, and a set of indicators are suggested that would allow comparisons between states. These find argue for management approaches that are both responsive to local condition, and are adaptive by integrating socioeconomic trends into decision-making processes. Overall, a multi-disciplinary approach to environmental management leads to the recognition of a range of factors influencing management actions and outcomes suggesting an expanded range and flexibility of opportunities for intervention. The results of this research argue that the issue of wetland protection is a compelling example of how a combination of social, political, economic and environmental factors can serve as important elements in environmental management and conservation.
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