Developing a Topographic Model to Predict the Northern Hardwood Forest Type within Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern Appalachians

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dc.contributor.authorEvans, Andrew M.en
dc.contributor.authorOdom, Richard H.en
dc.contributor.authorResler, Lynn M.en
dc.contributor.authorFord, W. Marken
dc.contributor.authorPrisley, Stephen P.en
dc.contributor.departmentFish and Wildlife Conservationen
dc.contributor.departmentForest Resources and Environmental Conservationen
dc.contributor.departmentGeographyen
dc.date.accessioned2017-09-18T09:43:44Zen
dc.date.available2017-09-18T09:43:44Zen
dc.date.issued2014-08-28en
dc.date.updated2017-09-18T09:43:43Zen
dc.description.abstractThe 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.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationAndrew Evans, Richard Odom, Lynn Resler, W. Mark Ford, and Steve Prisley, “Developing a Topographic Model to Predict the Northern Hardwood Forest Type within Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern Appalachians,” International Journal of Forestry Research, vol. 2014, Article ID 179415, 11 pages, 2014. doi:10.1155/2014/179415en
dc.identifier.doihttps://doi.org/10.1155/2014/179415en
dc.identifier.urihttp://hdl.handle.net/10919/78968en
dc.language.isoenen
dc.publisherHindawien
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.holderCopyright © 2014 Andrew Evans et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleDeveloping a Topographic Model to Predict the Northern Hardwood Forest Type within Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern Appalachiansen
dc.title.serialInternational Journal of Forestry Researchen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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