Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Feb 27;207(3):40.
doi: 10.1007/s00442-025-05677-5.

Vegetation influences wolf fine-scale habitat selection and movement rate in a logged coastal rainforest

Affiliations

Vegetation influences wolf fine-scale habitat selection and movement rate in a logged coastal rainforest

David P Gregovich et al. Oecologia. .

Abstract

Vegetation and its modification by humans can shape wildlife habitat selection and movement. A better understanding of how wolves select and move through natural and human modified vegetative cover can be used to implement forest management that considers impacts on wolves and their prey. We analyzed fine-scale wolf habitat selection and movement in a coastal temperate rainforest (Prince of Wales Island, Alaska, USA) in relation to: (1) young (≤ 30 years) and old (> 30 years) logged areas, (2) continuous measures of vegetative cover (as estimated via LiDAR), and (3) distance to roads, using integrated step-selection analysis (iSSA). Wolves selected areas with less forest canopy and understory cover at the population level, although they switched to selecting understory when within logged forest stands. The continuous canopy and understory measures vary at a fine spatial scale and thus appear to better explain fine-scale wolf selection and movement than categorical landcover classes representing the age of logged stands. Wolf selection of young (≤ 30 years) and old (> 30 years) successional logged areas, and areas near roads, was mixed across individuals. All individual wolves avoided canopy cover, but varied in their selection of logged stands, understory, and roads. Similarly, there was variability in movement rate response across individual wolves, although at the population level wolves moved faster through old (> 30 years) logged areas and through areas with less understory vegetation. Open vegetation including that present recently after logging is selected by wolves, and facilitates wolf movement, but this effect may be ephemeral as vegetation undergoes succession.

Keywords: Canis lupus; Habitat selection; Rainforest; Roads; iSSA.

PubMed Disclaimer

Conflict of interest statement

Declarations. Conflicts of interest: The authors declare that they have no conflict of interest. Ethical approval: This study followed the guidelines established by the ADF&G Animal Care and Use Committee (ACUC #2012–028 and #2014–15) and the American Society of Mammalogists.

Figures

Fig. 1
Fig. 1
Study area for fine-scale habitat selection analysis of wolves, showing autocorrelated kernel density estimate (AKDE) pack home ranges, Prince of Wales Island (POW), Alaska, USA, 2012–2017
Fig. 2
Fig. 2
Modeled wolf population-level and individual selection (log-RSS) versus percent cover (0–100%) of A young (≤ 30 years) logged stands, B old (> 30 years) logged stands, C canopy cover, and D understory cover, Prince of Wales Island (POW), Alaska, USA, 2012–2017. Black dashed line (log-RSS = 0) indicates neutral selection
Fig. 3
Fig. 3
Modeled wolf population-level selection (log-RSS) versus percent canopy cover (0–100%) inside and outside of A young (≤ 30 years) logged stands and B old (> 30 years) logged stands, and versus percent understory cover in C young and D old logged stands, Prince of Wales Island (POW), Alaska, USA, 2012–2017. Black dashed line (log-RSS = 0) indicates neutral selection
Fig. 4
Fig. 4
Modeled wolf year-round, population-level and individual selection (log-RSS) versus distance to nearest road, Prince of Wales Island (POW), Alaska, USA, 2012–2017. Black dashed line (log-RSS = 0) indicates neutral selection
Fig. 5
Fig. 5
Modeled wolf population-level and individual movement rate versus percent cover (0–100%) of A young (≤ 30 years) logged stands, B old (> 30 years) logged stands, C canopy cover, and Dunderstory cover, Prince of Wales Island (POW), Alaska, USA, 2012–2017. Black dashed line (log-RSS = 0) indicates the mean wolf population movement rate (274 m/h−1)
Fig. 6
Fig. 6
Modeled wolf population-level and individual movement rate versus distance to road, Prince of Wales Island (POW), Alaska, USA, 2012–2017. Black dashed line (log-RSS = 0) indicates the wolf mean population movement rate (274 m/h−1)

References

    1. Alaback PB (1984) Plant succession following logging in the Sitka spruce-western hemlock forests of Southeast Alaska: implications for management. USDA Forest Service Gen. Tech. Report PNW-GTR-173. 26
    1. Albert DM, Schoen JW (2013) Use of historical logging patterns to identify disproportionately logged ecosystems within temperate rainforests of Southeastern Alaska. Conserv Biol 27:774–784. 10.1111/cobi.12109 - PubMed
    1. Avgar T, Potts R, Lewis MA, Boyce MS (2016) Integrated step selection analysis: bridging the gap between resource selection and animal movement. Methods Ecol Evol 7:619–630. 10.1111/2041-210X.12528
    1. Avgar T, Lele SR, Keim J, Boyce MS (2017) Relative selection strength: quantifying effect size in habitat- and step selection inference. Ecol Evol 7:5322–5330. 10.1002/ece3.3122 - PMC - PubMed
    1. Banner A, Lepage P (2008) Long-term recovery of vegetation communities after harvesting in the coastal temperate rainforests of norther British Columbia. Can J for Res 38:3098–3111. 10.1139/X08-145

LinkOut - more resources