4.7 Article

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

Journal

BIOLOGICAL CONSERVATION
Volume 144, Issue 7, Pages 2041-2053

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.biocon.2011.04.026

Keywords

Central hardwoods; Demographic; Habitat; HSI; Landscape; Prairie warbler; Wood thrush; Worm-eating warbler; Viability modeling

Funding

  1. USDA Forest Service Northern Research Station
  2. University of Missouri

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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 mustelina) populations remained relatively stable over the simulation and worm-eating warbler (Helmitheros vermivonis) 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. (C) 2011 Elsevier Ltd. All rights reserved.

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