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Theory and Information for Natural R...
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Peters, Casey Brendan.
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Theory and Information for Natural Resource Management.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Theory and Information for Natural Resource Management./
作者:
Peters, Casey Brendan.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:
85 p.
附註:
Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
Contained By:
Dissertation Abstracts International78-04B(E).
標題:
Ecology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10165927
ISBN:
9781369203035
Theory and Information for Natural Resource Management.
Peters, Casey Brendan.
Theory and Information for Natural Resource Management.
- Ann Arbor : ProQuest Dissertations & Theses, 2016 - 85 p.
Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
Thesis (Ph.D.)--University of California, Davis, 2016.
In this dissertation, I explore different ways in which ecological theory and data are generated and shared to inform natural resource management decisions. I examine, 1) How ecological theory can inform management strategies for achieving specific conservation objectives, 2) How information used to inform natural resource management decisions can be generated through partnerships between volunteers and small conservation organizations, and 3) How scientific information is communicated to and shared among natural resource managers in Federal Land Management agencies.
ISBN: 9781369203035Subjects--Topical Terms:
516476
Ecology.
Theory and Information for Natural Resource Management.
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In Chapter 1, I consider how general ecological theory can be applied and refined to address the approach to conservation in a specific biological community. I examine how principles of community ecology and food web theory suggest grazing can be used as a management tool to achieve conservation objectives by mediating the competitive interactions between plant species. I empirically tested these assumptions by comparing grazed and ungrazed annual plant communities across a gradient of productivity in California. I found that the response of annual plant communities to grazing generally correspond to theoretical predictions, and that theory can provide meaningful insights into natural resource management decisions in this setting.
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In Chapter 2, my co-authors and I surveyed over 1700 land trust organizations to examine how and why they partner with volunteers to conduct ecological monitoring on lands that they own and manage. Land trusts are motivated to partner with volunteers to collect ecological data, but the most highly rated goal of these partnerships is to increase community engagement and educational outreach, which we conjecture is in order to build social capital in support of the missions of the land trusts. However, land trusts rated "increasing community engagement" as the most difficult goal to achieve. We provide suggestions for improving the achievement of community engagement goals through the use of social learning approaches, which involves engaging volunteers in multiple stages of the planning process for natural resource management.
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In Chapter 3, my co-authors and I conducted a survey of natural resource managers in federal land management agencies to learn about how they use and communicate climate science in order to inform natural resource management decision making. We partnered with the Southwest and Northcentral Climate Science centers to develop and distribute the survey. We found that managers have a high level of concern regarding the impact of future climate change on their ability to achieve their management objectives. We asked the survey participants to identify the major barriers they experience to receiving the climate science that they need to inform management decision. We discuss strategies that can be used to overcome these barriers, and evaluate the extent to which the Climate Science Centers are addressing these issues. Our results can be used a baseline to evaluate progress toward improving knowledge exchange to and within federal land management agencies.
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