Ecological correlates of the distribution of territorial Svalbard rock ptarmigan (Lagopus muta hyperborea)

• Published in: Canadian journal of zoology Vol. 85; no. 1; pp. 122 - 132
• Main Authors: Pedersen, Å.Ø, Jepsen, J.U, Yoccoz, N.G, Fuglei, E
• Format: Journal Article
• Language: English
• Published: Ottawa, ON National Research Council of Canada 01.01.2007; NRC Research Press; Canadian Science Publishing NRC Research Press
• Subjects: Animal and plant ecology; Animal behavior; Animal populations; Animal, plant and microbial ecology; Animals; Aves; Behavior; Biological and medical sciences; Data collection; Demecology; Environmental conditions; Environmental protection; Factor analysis; Field study; Fundamental and applied biological sciences. Psychology; Habitat selection; Habitats; Heterogeneity; Lagopus; Management tools; Ptarmigans; Rocks; Spatial distribution; Vegetation cover; Vertebrata; Wildlife; Wildlife management; Svalbard; Arctic Region; Logistic regression; Vertebrata; Territorial behavior; Spatial distribution; Statistical model; Environmental factor; Male; Population dynamics; Plant cover; Habitat selection; Aves; Population density
• ISSN: 0008-4301; 1480-3283; 1480-3283; 0008-4301
• DOI: 10.1139/z06-197

Predictive habitat models have become important research and management tools for monitoring the spatial distribution and abundance of wildlife species. In this paper we develop and evaluate statistical habitat models for presence of territorial Svalbard rock ptarmigan ( Lagopus muta hyperborea Sundevall, 1845) cocks in spring and apply the best model to assess ptarmigan habitat selection in a larger extrapolated region. Terrain variables were extracted at detailed (10 m digital elevation model (DEM)) and coarse (50 m DEM) scales to compare model performance. Sets of candidate environmental variables related to terrain and vegetation cover were developed and explanatory variables were calculated at increasing distances from the count site to well above the typical size of ptarmigan territory. We used ecological niche factor analysis to describe the difference between used and available sites. Survey sites used by cocks were characterized by a restricted range of altitude, a high degree of terrain heterogeneity, and dense vegetation cover compared with overall site availability in the survey region. We then used model selection criteria (AIC c ) to find the most parsimonious logistic regression models estimating habitat resource selection functions for cocks. Detailed terrain variables were better predictors than coarse terrain variables. The normalized difference vegetation index (NDVI) was a good predictor of presence of territorial cocks, but not as good as the most preferred habitat type. Owing to limited availability of high-quality vegetation maps, the best model containing NDVI and 10 m DEM variables was used for extrapolation of male ptarmigan habitat. Our results show that it is possible to obtain a model with a high ability to rank habitats using a low number of map-derived variables. Such rankings can then be used to improve field sampling designs and are therefore a useful tool for management and conservation of ptarmigan and wildlife in Arctic and alpine areas.