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Dissertation/Thesis Abstract

Using precision agriculture technology to evaluate environmental and economic tradeoffs of alternative CP-33 enrollments
by McConnell, Mark Dewitt, M.S., Mississippi State University, 2011, 126; 1491070
Abstract (Summary)

United States Department of Agriculture’s Farm Bill conservation programs provide landowner incentives to remove less productive and environmentally sensitive lands from agricultural production and re-establish them in natural vegetation to achieve conservation objectives. However, removal of arable land from production imposes an opportunity cost associated with loss in revenue from commodities that otherwise would have been produced. The Habitat Buffers for Upland Birds practice (CP-33) under the Continuous Conservation Reserve Program is a targeted conservation practice designed to increase northern bobwhite populations in agricultural landscapes. However, establishing CP-33 buffers on profitable farmland may be incompatible with economic objectives of landowners. To determine how CP-33 enrollment influenced field profitability and bobwhite abundance; I simulated CP-33 buffers on crop fields across a range of commodity prices and modeled profitability and predicted bobwhite abundance. CP-33 increased field revenue on a percentage of fields at all commodity prices and increased bobwhite abundance up to 30%.

Key words: northern bobwhite, precision agriculture, conservation reserve program, conservation profitability, precision conservation

Indexing (document details)
Advisor: Burger, Loren W., Jr.
Commitee: Barbour, Philip J., Martin, Steve W., Riffell, Samuel K.
School: Mississippi State University
Department: Wildlife and Fisheries
School Location: United States -- Mississippi
Source: MAI 49/05M, Masters Abstracts International
Subjects: Wildlife Conservation, Wildlife Management
Keywords: Conservation profitability, Conservation reserve program, Northern bobwhite, Precision agriculture, Precision conservation
Publication Number: 1491070
ISBN: 978-1-124-58877-3
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