Landscape Ecology

, Volume 28, Issue 4, pp 755–767

Empirical estimation of dispersal resistance surfaces: a case study with red-cockaded woodpeckers

  • Anne M. Trainor
  • Jeffrey R. Walters
  • William F. Morris
  • Joseph Sexton
  • Aaron Moody
Research article

DOI: 10.1007/s10980-013-9861-5

Cite this article as:
Trainor, A.M., Walters, J.R., Morris, W.F. et al. Landscape Ecol (2013) 28: 755. doi:10.1007/s10980-013-9861-5

Abstract

Persistence of wildlife populations depends on the degree to which landscape features facilitate animal movements between isolated habitat patches. Due to limited data availability, the effect of landscape features on animal dispersal is typically estimated using expert opinion. With sufficient data, however, resistance surfaces can be estimated empirically. After modeling suitable prospecting habitat using an extensive dataset from the federally endangered red-cockaded woodpecker (Picoides borealis), we used data from over 800 prospecting events from 34 radio-tagged birds to identify the best relationship between habitat suitability and resistance surfaces. Our results demonstrated that juvenile female P. borealis prospecting for new territories beyond their natal territories preferred to traverse through forests with tall canopy and minimal midstory vegetation. The non-linear relationship between habitat suitability and resistance surfaces was the most biologically relevant transformation, which in turn identified the specific forest composition that promoted and inhibited prospecting and dispersal behavior. These results corresponded with over 60 % of dispersal events from an independent dataset of short-distance dispersal events. This new understanding of P. borealis prospecting behavior will help to identify areas necessary for maintaining habitat connectivity and to implement effective management strategies. Our approach also provides a framework to not only estimate and evaluate resistance surfaces based on species-specific responses to intervening landscape features, but also addresses an often-neglected step, selecting a biologically relevant function to transform habitat suitability model into a resistance surface.

Keywords

Natal dispersal Picoides borealis Prospecting Radio-telemetry LiDAR 

Supplementary material

10980_2013_9861_MOESM1_ESM.xlsx (19 kb)
Supplementary material 1 (XLSX 19 kb)

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Anne M. Trainor
    • 1
    • 2
  • Jeffrey R. Walters
    • 3
  • William F. Morris
    • 4
  • Joseph Sexton
    • 5
  • Aaron Moody
    • 6
  1. 1.Department of GeographyUniversity of North CarolinaChapel HillUSA
  2. 2.School of Forestry and Environmental StudiesYale UniversityNew HavenUSA
  3. 3.Department of Biological SciencesVirginia TechBlacksburgUSA
  4. 4.Biology DepartmentDuke UniversityDurhamUSA
  5. 5.Global Land Cover FacilityUniversity of MarylandCollege ParkUSA
  6. 6.Department of Geography and Curriculum for the Environment and EcologyUniversity of North CarolinaChapel HillUSA

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