Landscape Ecology

, Volume 22, Issue 1, pp 61–75

Scaling Local Species-habitat Relations to the Larger Landscape with a Hierarchical Spatial Count Model

Research article

DOI: 10.1007/s10980-006-9005-2

Cite this article as:
Thogmartin, W.E. & Knutson, M.G. Landscape Ecol (2007) 22: 61. doi:10.1007/s10980-006-9005-2


Much of what is known about avian species-habitat relations has been derived from studies of birds at local scales. It is entirely unclear whether the relations observed at these scales translate to the larger landscape in a predictable linear fashion. We derived habitat models and mapped predicted abundances for three forest bird species of eastern North America using bird counts, environmental variables, and hierarchical models applied at three spatial scales. Our purpose was to understand habitat associations at multiple spatial scales and create predictive abundance maps for purposes of conservation planning at a landscape scale given the constraint that the variables used in this exercise were derived from local-level studies. Our models indicated a substantial influence of landscape context for all species, many of which were counter to reported associations at finer spatial extents. We found land cover composition provided the greatest contribution to the relative explained variance in counts for all three species; spatial structure was second in importance. No single spatial scale dominated any model, indicating that these species are responding to factors at multiple spatial scales. For purposes of conservation planning, areas of predicted high abundance should be investigated to evaluate the conservation potential of the landscape in their general vicinity. In addition, the models and spatial patterns of abundance among species suggest locations where conservation actions may benefit more than one species.

Key words

Abundance mapBlack-billed cuckooHierarchical modelInformation-theoretic model selectionMulti-level modelRed-headed woodpeckerSpatial count modelWood thrush

Copyright information

© Springer Science+Business Media B.V. 2006

Authors and Affiliations

  1. 1.U.S. Geological SurveyUpper Midwest Environmental Sciences CenterLa CrosseUSA