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Aldridge, C. L., & Boyce, M. S. 2007. Linking occurrence and fitness to persistence: habitat- based approach for endangered greater sage-grouse. Ecological Applications, 17(2), pp.508-526.
Atwood, T. C. 2006. The influence of habitat patch attributes on coyote group size and interaction in a fragmented landscape. Canadian Journal of Zoology 84:80–87. Bivand, R. 2008. Applied spatial data analysis with R. Springer, New York.
Bjørnstad, O. N. & Falck, W. 2001. Nonparametric spatial covariance functions: estimation and testing. Environmental and Ecological Statistics, 8(1), pp.53-70.
Bradbury, R. B., Hill, R. A., Mason, D. C, Hinsley, S. A., Wilson, J. D., Balzter, H., Anderson, G. Q. A., Whittingham, M. J., Davenport, I. J. & Bellamy, P. E. 2005. Modeling relationships between birds and vegetation structure using airborne LiDAR data: a review with case studies from agricultural and woodland environments. Ibis, 147(3), pp.443-452.
Brockway, D. G. & Lewis, C. E. 1997. Long-term effects of dormant-season prescribed fire on plant community diversity, structure and productivity in a longleaf pine wiregrass ecosystem. Forest Ecology and Management, 96(1-2), pp.167-183.
Brotons, L., Thuiller, W., Araújo, M. B. & Hirzel, A. H. 2004. Presence-absence versus presence-only modelling methods for predicting bird habitat suitability. Ecography, 27(4), pp.437-448.
Bruggeman, D. J. & Jones, M. L. 2008. Should Habitat Trading Be Based on Mitigation Ratios Derived from Landscape Indices? A Model-Based Analysis of Compensatory Restoration Options for the Red-Cockaded Woodpecker. Environmental Management,
42(4), pp.591-602.
Burnham, K. P. & Anderson, D. R. 2002. Model selection and multimodel inference: a practical information-theoretic approach. Springer Verlag.
Clark, J. S. 2007. Models for ecological data: an introduction. Princeton University Press, Princeton. Conner, R. N. & Rudolph, D. C. 1991. Forest Habitat Loss, Fragmentation, and Red-
Cockaded Woodpecker Populations. The Wilson Bulletin 103(3), pp. 446-457.
Conner, R. N., Rudolph, D. C., & Walters, J. R.. 2001. The red-cockaded woodpecker: surviving in a fire-maintained ecosystem. University of Texas Press, Austin.
Conner, R. N., Saenz, D., Schaefer, R. R., McCormick, J. R., Rudolph, D. C. & Burt D. B. 2004. Group Size and Nest Success in Red-Cockaded Woodpeckers in the West Gulf
Cozzi, G. G., Mueller, C. B. & Krauss, J. 2008. How do local habitat management and landscape structure at different spatial scales affect fritillary butterfly distribution on fragmented wetlands? Landscape Ecology, 23(3), pp.269-283.
Dudik, M., Phillips, S. J. & Schapire, R. E. 2009. Maximum Entropy Modeling of Species Geographic Distributions. Ecological Modelling, 190(1-2), pp.231-259.
Dudik, M. & Schapire, R. E. 2004. A maximum entropy approach to species distribution modeling. ACM International Conference Proceeding Series; Vol. 69. Proceedings of the twenty- first international conference on Machine learning, pp.655-662.
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Falkowski, M. J., Evans, J. S., Martinuzzi, S., Gessler, P. E. & Hudak, A. T. 2009. Characterizing forest succession with lidar data: An evaluation for the Inland Northwest, USA. Remote Sensing of Environment, 113(5), pp. 946-956.
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Unpublished report to Marine Corps Base Camp Lejeune; 7 p.
Goetz, S., Steinberg, D., Dubayah, R. & Blair, B. 2007. Laser remote sensing of canopy habitat heterogeneity as a predictor of bird species richness in an eastern temperate forest, USA. Remote Sensing of Environment, 108, pp.254-263.
Graf, R. F., Mathys, L. & Bollmann, K. 2009. Habitat assessment for forest dwelling species using LiDAR remote sensing: Capercaillie in the Alps. Forest Ecology and Management,
257(1), pp.160-167.
Guisan, A., Edwards, T. C. & Hastie, T. 2002. Generalized linear and generalized additive models in studies of species distributions: setting the scene. Ecological Modelling, 157(2- 3), pp.89-100.
Hagberg, A., Schult, D. & Swart, P. 2009. NetworkX, High Productivity Software for Complex Networks. https://networkx.lanl.gov.
Hawbaker, T. J., Keuler, N. S., Lesak, A. A., Gobakken, T., Contrucci, K. & Radeloff, V. C. 2009. Improved estimates of forest vegetation structure and biomass with a LiDAR- optimized sampling design. Journal of Geophysical Research, 114(3), G00E04.
Haynes, K., Dillemuth, F., Anderson, B., Hakes, A., Jackson, H., Jackson, S. E. & Cronin J. 2007. Landscape context outweighs local habitat quality in its effects on herbivore dispersal and distribution. Oecologia, 151(3), pp.431-441.
Hill, R. A., Hinsley, S. A., Gaveau, D. L. A. & Bellamy, P. E. 2004. Predicting habitat quality for Great Tits (Parus major) with airborne laser scanning data. International Journal of Remote Sensing, 25(22), pp.4851-4855.
James, F. C., Hess, C. A., Kicklighter, B. C. & Thum, R. A. 2001. Ecosystem management and the niche gestalt of the red-cockaded woodpecker in longleaf pine forests.
Ecological Applications, 11(3), pp.854-870.
Khan, M. Z., McNabb, F. M. A., Walters, J. R. & Sharp, P. J. 2001. Patterns of Testosterone and Prolactin Concentrations and Reproductive Behavior of Helpers and Breeders in the Cooperatively Breeding Red-Cockaded Woodpecker (Picoides borealis). Hormones and Behavior,40, pp.1-13.
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Lefsky, M. A., Cohen, W. B., Parker, G. G. & Harding, D. J. 2002. Lidar Remote Sensing for Ecosystem Studies. Bioscience, 52(1), pp.19-30.
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Ecological Modelling 90(1), pp.39-52.
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Identifying and quantifying structural characteristics of heterogeneous boreal forests using laser scanner data. Forest Ecology and Management 216 (1-3), pp.41-50.
McGaughey, R. J. 2009. FUSION/LDV: Sofware for LiDAR Data Analysis and Visualization. 2.70. http://www.fs.fed.us/eng/rsac/fusion/
Minor, E., D. Urban. 2007. Graph theory as a proxy for spatially explicit population models in conservation planning. Ecological Applications, 17(6), pp.1771-1782.
Morrison, M. L. 2006. Wildlife-habitat relationships: concepts and applications. Island Press, Washington.
NC Office of State Budget and Management. 2008. NC County/State Population Projections.
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North Carolina Onslow Bight Conservation Forum. 2003. Memorandum of Understanding
(unpublished).
Pasinelli, G. & Walters, J. R. 2002. Social and environmental factors affect natal dispersal and philopatry of male red-cockaded woodpeckers. Ecology, 83(8), pp.2229-2239.
Pettorelli, N., Gaillard, J., Laere, G. V. Duncan, P., Kjellander, P. Liberg, O., Delorme, D. & Maillard, D. 2002. Variations in adult body mass in roe deer: the effects of
population density at birth and of habitat quality. Proceedings of the Royal Society B: Biological Sciences, 269(1492), pp.747-753.
Phillips, S. J., R. P. Anderson, & R. E. Schapire. 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4), pp.231-259. Phillips, S. J. & Dudik, M. 2008. Modeling of species distributions with Maxent: new
extensions and a comprehensive evaluation. Ecography, 31(2), pp.161-175.
Pidgeon, A. M., Radeloff, V. C. & Mathews, N. E. 2006. Contrasting measures of fitness to classify habitat quality for the black-throated sparrow (Amphispiza bilineata). Biological Conservation, 132(2), pp.199-210.
Pinheiro, J. C. 2000. Mixed-effects models in S and S-PLUS. Springer, New York.
R Core Development Team. 2009. R: A language and environment for statistical computing. R Foundation for Statistical Computing: Vienna, Austria. http://www.r-project.org/ Riaño, D., Meier, E., Allgöwer, B., Chuvieco, E. & Ustin, S. L. 2003. Modeling airborne laser
scanning data for the spatial generation of critical forest parameters in fire behavior modeling. Remote Sensing of Environment, 86, pp.177-186.
Robles, M. D., Flather, C. H., Stein, S. M., Nelson, M. D. & Cutko, A. 2008. The geography of private forests that support at-risk species in the conterminous United States.
Frontiers in Ecology and the Environment, 6(6), pp.301-307.
Schiegg, K., Walters, J. R. & Priddy, J. A. 2002. The consequences of disrupted dispersal in fragmented red-cockaded woodpecker Picoides borealis populations. Journal of Animal Ecology, 71(4), pp.710-721.
Seavy, N. E., Viers, J. H. & Wood, J. K. 2009. Riparian bird response to vegetation structure: a multiscale analysis using LiDAR measurements of canopy height. Ecological
Applications, 19(7), pp.1848-1857.
Southeast Gap Analysis Project. 2008. Southeast GAP Regional Land Cover 2001 (NC Subsection).
U.S. Fish and Wildlife Service. Recovery plan for the red-cockaded woodpecker (Picoides borealis): second revision. Atlanta, GA: U.S. Fish and Wildlife Service; 2003. Van Lear, D. H., Carroll, W. D., Kapeluck, P. R., & Johnson, R., 2005. History and
restoration of the longleaf pine-grassland ecosystem: Implications for species at risk.
Forest Ecology and Management, 211(1-2), pp.150–165.
Vierling, K. T., Vierling, L. A., Gould, W. A., Martinuzzi, S., & Clawges, R. M., 2008. Lidar: shedding new light on habitat characterization and modeling. Frontiers in Ecology and the Environment, 6(2), pp.90–98.
Walters, J. R., Daniels, S. J. , Carter III, J. H., & Doerr, P. D., 2002. Defining quality of red- cockaded woodpecker foraging habitat based on habitat use and fitness. Journal of Wildlife Management, 66(4), pp.1064-1082.
Wiegand, T., Revilla, E. & Knauer, F. 2004. Dealing with uncertainty in spatially explicit population models. Biodiversity and Conservation, 13(1), pp.53-78.