Bargelt, Lindsey

Assessing Connectivity of Protected Area Networks and the Role of Private Lands in the United States

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Names:
Creator (cre): Bargelt, Lindsey, Thesis advisor (ths): Murray, Dennis, Thesis advisor (ths): Fortin, Marie-Josee, Degree committee member (dgc): Franklin, Steven, Degree granting institution (dgg): Trent University
Abstract:

Forestalling biodiversity loss through the establishment of protected areas is a universally accepted conservation strategy, yet despite established guidelines for protected area coverage and placement, much of the world is currently failing to meet its commitments to conservation planning and landscape protection. Calls for the United States to protect more land usually focus on the need for strategic selection of land parcels to bolster protected area coverage and network functionality, but to date there lacks focused research on either the role of private protected areas in conservation planning or the factors affecting individual protected area selection and importance. We determined gaps in conservation planning in the contiguous United States by analyzing the connectivity of protected area networks by state, and assessing the importance of private protected areas in improving linkages in protected area connectivity. We found that all states had low coverage from protected areas (average <8.4% of total land mass), and especially private protected areas (average <1.1% of total land mass), and that the overall contribution of such areas to protected area network connectivity also was low. Terrain ruggedness was identified as the main factor affecting the current location of protected areas, and that protected area spatial layout is a primary influence on landscape connectivity. We conclude that establishment of private protected areas could offer a viable conservation tool for increasing protected area coverage and connectivity, but that current efforts are inadequate to either adequately link existing protected areas or to meet established land protection guidelines.

Author Keywords: Aichi Target 11, conservation planning, graph theory, network theory, private conservation, protected areas

2019