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Extension of landscape-based population viability models to ecoregional scales for conservation planning

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Bonnot, Thomas W.; Thompson, Frank R. III; Millspaugh, Joshua

Year Published

2011

Publication

Biological Conservation. 144: 2041-2053.

Abstract

Landscape-based population models are potentially valuable tools in facilitating conservation planning and actions at large scales. However, such models have rarely been applied at ecoregional scales. We extended landscape-based population models to ecoregional scales for three species of concern in the Central Hardwoods Bird Conservation Region and compared model projections against long-term trend data from the North American Breeding Bird Survey. We used a spatially-explicit demographic model and structured the regional population into ecological subsections on the basis of habitat, landscape patterns, and demographic rates to assess species viability. Our model projections were within 2% of the Breeding Bird Survey trends over the last 40 years for each species. Wood thrush (Hylocichla mustelinaHelmitheros vermivorus) abundance increased throughout most of the time period until reaching carrying capacity. In contrast, the prairie warbler (Dendroica discolor) population steadily declined by 0.59% annually. The combination of habitat and demographic modeling allowed us to create models that address processes driving these populations at all scales, which is critical to understanding how regional populations respond to landscape processes such as habitat loss and fragmentation. Therefore, because it is spatially explicit and directly addresses population growth and viability, this approach provides a valuable foundation to planning conservation strategies, offering the ability to identify the most salient risks to viability and explore ways to address them.

Citation

Bonnot, Thomas W.; Thompson, Frank R. III; Millspaugh, Joshua J. 2011. Extension of landscape-based population viability models to ecoregional scales for conservation planning. Biological Conservation. 144: 2041-2053. https://doi.org/10.1016/j.biocon.2011.04.026.

Last updated on: September 22, 2011