Abstract

Coexistence of ecologically similar species can be maintained by partitioning along one or more niche axes. Three-dimensional structural complexity is central to facilitating resource partitioning between many forest species, but is underrepresented in field-based studies. We examined resource selection by sympatric northern spotted owls (Strix occidentalis caurina), a threatened species under the US Endangered Species Act, and nonnative barred owls (S. varia) in western Oregon, USA to explore the relative importance of canopy heterogeneity, vertical complexity of forest, and abiotic features to resource selection and identify potential differences that may facilitate long-term coexistence. We predicted that within home range selection of understory densities, measured with airborne lidar, would differ between species based on proportional differences in arboreal and terrestrial prey taken by each owl species. We used discrete choice models and telemetry data from 41 spotted owls and 38 barred owls monitored during 2007–2009 and 2012–2015. Our results suggested that while both species used tall canopy areas more often than low canopy areas, spotted owls were more commonly found in areas with lower tree cover, more developed understory, and steeper slopes. This is the first evidence of fine-scale partitioning based on structural forest properties by northern spotted owls and barred owls.

Details

Title
Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry
Author
Jenkins Julianna M A 1   VIAFID ORCID Logo  ; Lesmeister, Damon B 2   VIAFID ORCID Logo  ; David, Wiens J 3 ; Kane, Jonathan T 4 ; Kane, Van R 4 ; Verschuyl Jake 5   VIAFID ORCID Logo 

 USDA Forest Service, Pacific Northwest Research Station, Corvallis Forestry Sciences Lab, Corvallis, USA (GRID:grid.497403.d) (ISNI:0000 0000 9388 540X) 
 USDA Forest Service, Pacific Northwest Research Station, Corvallis Forestry Sciences Lab, Corvallis, USA (GRID:grid.497403.d) (ISNI:0000 0000 9388 540X); Oregon State University, Department of Fisheries and Wildlife, Corvallis, USA (GRID:grid.4391.f) (ISNI:0000 0001 2112 1969) 
 US Geological Survey, Forest and Rangeland Ecosystem Science Center, Corvallis, USA (GRID:grid.2865.9) (ISNI:0000000121546924) 
 University of Washington, School of Environmental and Forest Sciences, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 National Council for Air and Stream Improvement, Anacortes, USA (GRID:grid.34477.33) 
Publication year
2019
Publication date
2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2210009993
Copyright
© The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.