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Abstract
Partners in Flight (PIF), a public–private coalition for the conservation of land birds, has developed one of four international bird conservation plans recognized under the auspices of the North American Bird Conservation Initiative (NABCI). Partners in Flight prioritized species most in need of conservation attention and set range-wide population goals for 448 species of terrestrial birds. Partnerships are now tasked with developing spatially explicit estimates of the distribution, and abundance of priority species across large ecoregions and identifying habitat acreages needed to support populations at prescribed levels. The PIF Five Elements process of conservation design identifies five steps needed to implement all bird conservation at the ecoregional scale. Habitat assessment and landscape characterization describe the current amounts of different habitat types and summarize patch characteristics, and landscape configurations that define the ability of a landscape to sustain healthy bird populations and are a valuable first step to describing the planning area before pursuing more complex species-specific models. Spatially linked database models, landscape-scale habitat suitability models, and statistical models are viable alternatives for predicting habitat suitability or bird abundance across large planning areas to help assess conservation opportunities, design landscapes to meet population objectives, and monitor change in habitat suitability or bird numbers over time.
Publication type | Book chapter |
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Publication Subtype | Book Chapter |
Title | Application of models to conservation planning for terrestrial birds in North America |
DOI | 10.1016/B978-0-12-373631-4.00022-8 |
Year Published | 2009 |
Language | English |
Publisher | Academic Press |
Contributing office(s) | Fort Collins Science Center |
Description | 32 p. |
Larger Work Type | Book |
Larger Work Subtype | Monograph |
Larger Work Title | Models for planning wildlife conservation in large landscapes |
First page | 593 |
Last page | 624 |
Google Analytic Metrics | Metrics page |