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

被引:0
作者
Gregovich, David P. [1 ]
Roffler, Gretchen H. [1 ]
Prokopenko, Christina M. [2 ]
机构
[1] Alaska Dept Fish & Game, Div Wildlife Conservat, 802 3rdSt, Douglas, AK 99824 USA
[2] Univ Manitoba, Nat Resources Inst, 119 St Pauls Coll 70, Winnipeg, MB R3T 2M6, Canada
关键词
Canis lupus; Roads; Habitat selection; iSSA; Rainforest; CANIS-LUPUS; RESOURCE SELECTION; LINEAR FEATURES; WOLVES; RESPONSES; PREDATION; COVER; PREY; KILL; MORTALITY;
D O I
10.1007/s00442-025-05677-5
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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.
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页数:19
相关论文
共 86 条
[1]  
Alaback PB, 1984, USDA Forest Service Gen. Tech. Report PNW-GTR-173. 26
[2]   Use of Historical Logging Patterns to Identify Disproportionately Logged Ecosystems within Temperate Rainforests of Southeastern Alaska [J].
Albert, David M. ;
Schoen, John W. .
CONSERVATION BIOLOGY, 2013, 27 (04) :774-784
[3]   Relative Selection Strength: Quantifying effect size in habitat- and step-selection inference [J].
Avgar, Tal ;
Lele, Subhash R. ;
Keim, Jonah L. ;
Boyce, Mark S. .
ECOLOGY AND EVOLUTION, 2017, 7 (14) :5322-5330
[4]   Integrated step selection analysis: bridging the gap between resource selection and animal movement [J].
Avgar, Tal ;
Potts, Jonathan R. ;
Lewis, Mark A. ;
Boyce, Mark S. .
METHODS IN ECOLOGY AND EVOLUTION, 2016, 7 (05) :619-630
[5]   Long-term recovery of vegetation communities after harvesting in the coastal temperate rainforests of northern British Columbia [J].
Banner, Allen ;
LePage, Philip .
CANADIAN JOURNAL OF FOREST RESEARCH, 2008, 38 (12) :3098-3111
[6]   Anthropogenic environmental traps: Where do wolves kill their prey in a commercial forest [J].
Bojarska, Katarzyna ;
Kwiatkowska, Magdalena ;
Skorka, Piotr ;
Gula, Roman ;
Theuerkauf, Jorn ;
Okarma, Henryk .
FOREST ECOLOGY AND MANAGEMENT, 2017, 397 :117-125
[7]   Cumulative effects of widespread landscape change alter predator-prey dynamics [J].
Boucher, Nicole P. ;
Anderson, Morgan ;
Ladle, Andrew ;
Procter, Chris ;
Marshall, Shelley ;
Kuzyk, Gerald ;
Starzomski, Brian M. ;
Fisher, Jason T. .
SCIENTIFIC REPORTS, 2022, 12 (01)
[8]  
Boyce M.S., 2017, Current Landscape Ecology Reports, V2, P89, DOI [10.1007/s40823-017-0027-z, DOI 10.1007/S40823-017-0027-Z]
[9]  
Boyd D. K., 2023, Wild furbearer management and conservation in North America, p32.1
[10]  
Bump J, 2022, FRONT ECOL ENVIRON, V20, P275