Allison, P. D.: 1995, Survival Analysis Using the SAS System, a Practical Guide, SAS Institute, Cary, North Carolina. 300 pp.
Amateis, R. L., Burkhart, H. E. and Walsh, T. A.: 1997, ‘Modeling survival in juvenile and mature loblolly pine plantations’, For. Ecol. Manage
, 170–174.Google Scholar
Burgman, M. A., Incoll, W., Ades, P. K., Ferguson, I., Fletcher, T. D. and Wohlers, A.: 1994, ‘Mortality models for mountain and alpine ash’, For. Ecol. Manage
, 319–327.Google Scholar
Collett, D.: 1994, Modeling Survival Data in Medical Research
, Chapman and Hall, CRC, New York, New York, 347 pp.Google Scholar
Dwyer, J. P., Cutter, B. E. and Wetteroff, J. J.: 1995, ‘A dendrological study of black and scarlet oak decline in the Missouri Ozarks’, For. Ecol. Manage
, 69–75.Google Scholar
FHM: 2002, Forest Health Highlights –Missouri, Forest health Monitoring Program, USDA, Forest Service, North Central Research Station, St. Paul, Minnesota.
Flewelling, J. and Monserud, R. A.: 2002, ‘Comparing Methods for Modeling Tree Mortality’, in N. L. Crookston and R. N., Havis (eds.), the 2nd Forest Vegetation Simulator Conference, February 12–14, 2002, Ft. Collins, Colorado. RMRS-P-25, pp. 169–177.
Kessler, K. J. Jr.: 1989, ‘Some perspectives on oak decline in the ‘80’s’, USDA Forest Service, North Central Research Station, St. Paul, Minnesota. NC-GTR 132: 25–29.
Kessler, K. J. Jr.: 1992, ‘Oak Decline on Public Lands in the Central Forest Region’, USDA Forest Service, North Central Station, Res. Note. St. Paul, Minnesota. NC-362.
Lawrence, R., Moltzan, B. and Moser, W. K.: 2002, ‘Oak decline and the future of Missouri’s forests’, Missouri Cons
, 11–18.Google Scholar
Leatherberry, E. C. and Treiman, T. B.: 2002, ‘Missouri’s forest resources in 2000’, Res. Bull. NC-209. USDA Forest Service, North Central Research Station St. Paul, Minnesota. 23 p.
Manion, P. D.: 1991, Tree Disease Concepts, 2nd ed., Prentiss-Hall, Edgewood Cliffs, New Jersey, pp. 328–348.
Manion, P. D. and Griffin, D. H.: 2001, ‘Large landscape scale analysis of tree death in the Adirondack Park, New York’, For. Sci
, 542–549.Google Scholar
Miles, P. D., Brand, G. J., Alerich, C. L., Bednar, L. F., Woudenberg, S. W., Glover, J. F., and Ezzell, E. N.: 2001, ‘The Forest Inventory and Analysis Database: Database Applications and Users Manual Version 1.0’, Gen. Tech. Rep. NC-218, St. Paul, MN: USDA Forest Service, North Central Research Station, St. Paul, Minnesota, 130 pp.
Morse, B. W. and Kulman, H. M.: 1984, ‘Plantation white spruce mortality: Estimates based on aerial photography and analysis using a life-table format’, Can. J. For. Res
, 195–200.Google Scholar
Moser, W. K., and Melick, R.: 2002, ‘Management recommendations for oak decline’, Unpublished Missouri Dept. of Cons. Memo to field personnel, p. 3.
Moser, W. K., Treiman, T., Moltzan, B., Lawrence, R. and Brand, G.J.: 2004, ‘Missouri’s forest resources in 2002’, Res. Bull. NC-233. USDA Forest Service, North Central Research Station, St. Paul, Minnesota. 42 pp.
Muenchow, G.: 1986. Ecological use of failure time analysis. Ecology 67
, 246–250.Google Scholar
Nebeker, T.E., Ammon, V.D., Boyle, C.R., McCracken, F.I., and Solomon, J.D.: 1992, ‘Oak decline: A comparison of study results from different areas of the south’, Miss. Agr. Exp. St. 19 pp.
Oak, S., Tainter, F., Williams, J. and Starkey, D.: 1996, ‘Oak decline risk rating for the southeastern United States’, Ann. Sci. For
, 721–730.Google Scholar
Oliver, C. D. and Larsen, B. C.: 1996, Forest Stand Dynamics
, Wiley, New York, New York, 520 pp.Google Scholar
Pedersen, B. S.: 1998, ‘The role of stress in the mortality of mid western oaks as indicated by growth prior to death’, Ecology 79
, 79–93.Google Scholar
Preisler, H. K. and Slaughter, G. W.: 1997, ‘Stochastic model for tree survival in stands affected by annosum root disease’, For. Sci
, 78–86.Google Scholar
Reams, G. A., Brann, T. B. and Halteman, W. A.: 1988, ‘A nonparametric survival model for balsam fir during a spruce budworm outbreak’, Can. J. For. Res
, 787–793.Google Scholar
Rose, C. E., Jr.: 2002, Modeling and Allocating Forestry Survival: A Loblolly Pine Case Study, Dissertation, University of Georgia.Athens, Georgia, 176 pp.
SAS Software. Version 8 (1999) SAS Institute Inc., Cary, NC, USA.
Shifley, S. R., Roovers, L. M., Jensen, R. G. and Larsen, D. R.. : 2000, ‘Composition and Structure of Woody Forest Vegetation in the Missouri Ozark Forest Ecosystem Project’, in. S. R. Shifley and B. L. Brookshire, (eds.), Missouri Ozark Forest Ecosystem Project: Site History, Soils, Landforms Woody and Herbaceous Vegetation, Downwood and Inventory Methods for the Landscape Experiment. GTR. NC –208, pp. 71–106, St. Paul, MN: USDA Forest Service, North Central Research Station. St. Paul, Minnesota, 314 pp.
Spencer, J. S. Jr., Roussopoulos, S. M. and Massengale, R. A.: 1992, ‘Missouri’s forest resource, 1989: an analysis’, Res. Bull. NC-139, USDA Forest Service, North Central Research Station, St. Paul, Minnesota, 84 pp.
Starkey, D. A. and Oak, S. W.: 1989, ‘Site factors and stand conditions associated with oak decline in southern upland hardwood forests’, NC-GTR 132, USDA Forest Service, North Central Research Station, St. Paul, Minnesota, pp. 95–102.
Starkey, D. A., Oak, S. W., Ryan, G. W., Tainter, F. H., Redmond, C. and Brown, H. D.: 1989, ‘Evaluation of Oak Decline Areas in the South’, Prot. Rep. R8-PR-17, USDA Forest Service, Region 8, Atlanta, Georgia. 36 pp.
Thomas, W. D. and Boza, C. A.: 1984, ‘The oak decline complex’, J. Arbor
, 170–177.Google Scholar
Volney, W. J. A.: 1998, ‘Ten-year tree mortality following a jack pine budworm outbreak in Saskatchewan’, Can. J. For. Res
, 1784–1793.CrossRefGoogle Scholar
Waters, W. E.: 1969, ‘Life-table approach to analysis of insect impact’, J. For
, 300–304.Google Scholar
Wyckoff, P. H. and Clark, J. S.: 2000, ‘Predicting tree mortality from diameter growth: A comparison of maximum likelihood and Bayesian approaches’, Can. J. For. Res
, 156–167.CrossRefGoogle Scholar