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Theory rich, data poor: Ecological p...

Karish, Kimberly Sarah.

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Theory rich, data poor: Ecological principles for biodiversity conservation planning with limited data. The case study of Coiba Island, Panama.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Theory rich, data poor: Ecological principles for biodiversity conservation planning with limited data. The case study of Coiba Island, Panama./
作者:	Karish, Kimberly Sarah.
面頁冊數:	129 p.
附註:	Adviser: Carl Steinitz.
Contained By:	Dissertation Abstracts International68-06B.
標題:	Agriculture, Forestry and Wildlife. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3269722
ISBN:	9780549083955

Theory rich, data poor: Ecological principles for biodiversity conservation planning with limited data. The case study of Coiba Island, Panama.
Karish, Kimberly Sarah.

Theory rich, data poor: Ecological principles for biodiversity conservation planning with limited data. The case study of Coiba Island, Panama. - 129 p.

Adviser: Carl Steinitz.

Thesis (D.Des.)--Harvard University, 2007.

The design of conservation plans for the protection of species and ecosystems in developing areas is often created with limited information due to time-sensitive pressures on the land. The ongoing challenge for planners is to make scientifically sound decisions concerning what, where, and how much to protect based on quantity- or quality-limited information. The best use of available data is to create new knowledge through scientifically-based rapid analyses to inform stakeholders or officials of areas to concentrate their conservation efforts or direct further research.

ISBN: 9780549083955Subjects--Topical Terms:

783690
Agriculture, Forestry and Wildlife.

Theory rich, data poor: Ecological principles for biodiversity conservation planning with limited data. The case study of Coiba Island, Panama.
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520 $a The design of conservation plans for the protection of species and ecosystems in developing areas is often created with limited information due to time-sensitive pressures on the land. The ongoing challenge for planners is to make scientifically sound decisions concerning what, where, and how much to protect based on quantity- or quality-limited information. The best use of available data is to create new knowledge through scientifically-based rapid analyses to inform stakeholders or officials of areas to concentrate their conservation efforts or direct further research.
520 $a The study area of this thesis is the large neotropical island of Coiba, Panama, which contains a unique ecosystem and also the high potential for disturbance from development and resource extraction. The island has no known species distribution maps available and there is limited information to guide conservation efforts. The goal is to discuss, evaluate, and depict available information in a way that reveals areas of higher priority for further biological research and for inclusion in a conservation plan to protect biodiversity.
520 $a The basis for a rapid-assessment analysis of the island is the interpretation of ecological principles for decision rule set creation. Rule sets are then applied to available data, refining GIS modeling techniques used to create a first-pass conservation design to represent potentially important areas. Focus areas depicted by the interpreted principles range from delineation of almost ninety percent of the island, to approximately one third of the island's total habitat, depending on which principle, or combination of principles, are examined. The resulting areas include large portions of connected lowland primary forest and mangrove areas. Other factors examined for their potential to contribute to the protection of biodiversity include principles that delineate interconnected systems or focus on small areas of rarer habitats on the island. These priorities include unique landscape formations such as steep canyons, areas of habitat transitions, and large watershed drainages. Discussions about the creation of a conservation plan for the island includes the argument for and against the targeted capture of coastal areas, the applicability of assumptions in conservation design, and the additional information needed to strengthen decisions.
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