Microhabitat Selection of the Virginia Northern Flying Squirrel (Glaucomys sabrinus fuscusMiller) in the Central Appalachians

2017 ◽  
Vol 24 (2) ◽  
pp. 173-190 ◽  
Author(s):  
Corinne A. Diggins ◽  
W. Mark Ford
Oryx ◽  
2006 ◽  
Vol 40 (2) ◽  
pp. 204-210 ◽  
Author(s):  
Jennifer M. Menzel ◽  
W. Mark Ford ◽  
John W. Edwards ◽  
Tamara M. Terry

The Virginia northern flying squirrel Glaucomys sabrinus fuscus is a Vulnerable sciurid that has experienced a 90% reduction of suitable high elevation boreal montane forest habitat over the last century in the central Appalachians of West Virginia and Virginia, USA. Using radiotelemetry and GIS analyses we examined the species' home range size and habitat use in the Monongahela National Forest, Kumbrabow State Forest and the MeadWestvaco Ecosystem Research Forest in West Virginia during the summers of 2000–2003. The mean home range sizes of male and female squirrels were 54.2 and 15.3 ha, respectively, based on the adaptive kernel method. Euclidean distance analysis indicated the squirrels used spruce, mixed spruce-northern hardwood, and open habitats more than was available across the landscape. Selection of spruce and mixed spruce-northern hardwood habitats indicates that forest management activities designed to restore and increase these types in the central Appalachian landscape are required to conserve and increase this Vulnerable species.


2002 ◽  
Vol 80 (9) ◽  
pp. 1623-1633 ◽  
Author(s):  
V J Bakker ◽  
K Hastings

Northern flying squirrel (Glaucomys sabrinus) dens are reportedly associated with features characteristic of older forests, and den availability is a potential limiting factor in younger forests. We assessed den sites used by northern flying squirrels in southeastern Alaska, where we expected den-site selection to differ from more southerly forests, owing to increased thermal stress but reduced predation and competition. We located 27 squirrels in 76 dens and compared den trees with 1875 matched random trees. Most dens ([Formula: see text]73%) were in cavities and 21% were at heights of [Formula: see text]3 m. This high rate of cavity use, including cavities low in the bole, likely reflects the importance of weatherproof dens in this cool wet region. Northern flying squirrels preferentially used trees with indicators of cavity presence, selecting for snags and for larger diameter trees with bole entries, conks, abundant mistletoe, and dead tops. Although cavity availability is probably not limiting populations in this region currently, cavity-supporting trees would be one of the last elements of old-growth forests to develop in intensively logged stands. Retention of small groups of large snags and live trees exhibiting evidence of disease or physical defects would ensure availability of denning structures after logging.


1986 ◽  
Vol 64 (10) ◽  
pp. 2086-2089 ◽  
Author(s):  
Chris Maser ◽  
Zane Maser ◽  
Joseph W. Witt ◽  
Gary Hunt

Fecal samples were collected over 27 months from the northern flying squirrel (Glaucomys sabrinus (Shaw)), a mycophagist in the Pacific Northwest portion of its range. Nine genera of hypogeous Basidiomycetes, 10 of hypogeous Ascomycetes, and 1 of hypogeous Zygomycetes were identified from fecal samples (hypogeous fungi fruit underground). The squirrel food habits generally paralleled the seasonal availability of the hypogeous fungi, but with notable exceptions. Our data demonstrate the functional diversity an individual species lends to its habitat when viewed in a functional context.


2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Andrew Evans ◽  
Richard Odom ◽  
Lynn Resler ◽  
W. Mark Ford ◽  
Steve Prisley

The northern hardwood forest type is an important habitat component for the endangered Carolina northern flying squirrel (CNFS;Glaucomys sabrinus coloratus) for den sites and corridor habitats between boreo-montane conifer patches foraging areas. Our study related terrain data to presence of northern hardwood forest type in the recovery areas of CNFS in the southern Appalachian Mountains of western North Carolina, eastern Tennessee, and southwestern Virginia. We recorded overstory species composition and terrain variables at 338 points, to construct a robust, spatially predictive model. Terrain variables analyzed included elevation, aspect, slope gradient, site curvature, and topographic exposure. We used an information-theoretic approach to assess seven models based on associations noted in existing literature as well as an inclusive global model. Our results indicate that, on a regional scale, elevation, aspect, and topographic exposure index (TEI) are significant predictors of the presence of the northern hardwood forest type in the southern Appalachians. Our elevation + TEI model was the best approximating model (the lowest AICc score) for predicting northern hardwood forest type correctly classifying approximately 78% of our sample points. We then used these data to create region-wide predictive maps of the distribution of the northern hardwood forest type within CNFS recovery areas.


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