# Refereed Publications

**Cao, Q. V.** 2022. Predicting future diameter distributions given current stand attributes. Can. J. For. Res. 52:561-567.

**Cao, Q. V.** 2022. Deriving a tree growth model from any existing stand growth model. Can. J. For. Res. 52:169-174.

Yang, S., **Q. V. Cao**, D. T. Shoch, and T. Johnson. 2022. Characterizing stand and biomass tables from diameter distribution models: A case
study for mixed-hardwood forests in eastern Tennessee, USA. For. Sci. 68:8-16.

Zhang, X., **Q.V. Cao**, Y. Qu, and J. Zhang. 2022. Deriving tree growth models from stand models based on the self-thinning rule of Chinese
fir plantations. iForest 15:1-7.

**Cao, Q. V. ** 2021. A unified system for tree- and stand-level predictions. For. Ecol. Mgt. 480:118713.

M. Teimouri, M., and **Q. V. Cao**. 2020. Statistical inference for Birnbaum-Saunders and Weibull distributions fitted to grouped
and ungrouped data. Env. Resources Res. 8:97-108.

Zhang X., L. Lu, **Q. V. Cao**, H. Wang, A. Duan, and J. Zhang. 2020. Projecting stand survival and basal area based on a self-thinning model for Chinese
fir plantations. For. Sci. 66:361-370.

Özçelik, R., **Q. V. Cao**, and H. Yavuz. 2019. Calibrating a taper model for oriental spruce in Turkey. CERNE 25:473-481.

**Cao, Q. V.** 2019. A method to derive a tree survival model from any existing stand survival model. Can. J. For. Res. 49:1598-1603.

Özçelik, R., **Q. V. Cao**, G. Trincado, E. Gómez-García, F. Crecente-Campo, and Ü. Eler. 2019. Modelling dominant height growth of cedar (Cedrus libani A. Rich) stands in Turkey. For. Sci. 65:725-733.

Zhang X., L. Lu, **Q. V. Cao**, L. Lu, H. Wang, A. Duan, and J. Zhang. 2019. Use of modified Reineke’s stand density index in predicting growth and survival of
Chinese fir plantations. For. Sci. 65:776-783.

Sun, S., **Q. V. Cao**, and T. Cao. 2019. Characterizing diameter distributions for uneven-aged pine-oak mixed forests in China. Forests 10:596.

Sun, S., **Q. V. Cao**, and T. Cao. 2019. Evaluation of distance-independent competition indices in predicting tree survival
and diameter growth. Can. J. For. Res. 49: 440-446.

Zhang X., L. Lu, **Q. V. Cao**, A. Duan, and J. Zhang. 2018. Climate-sensitive self-thinning trajectories of Chinese fir plantations in south China. Can. J. For. Res. 48:1388-1397.

Özçelik, R., **Q. V. Cao**, G. Trincado, and N. Gocer. 2018. Predicting tree height from tree diameter and dominant height using mixed-effects
and quantile regression models for two species in Turkey. For. Ecol. Mgt. 419-420:240-248.

Zhang X., **Q. V. Cao**, C. Xiang, A. Duan, and J. Zhang. 2017. Modeling tree mortality in relation to climate, initial planting density, and competition
in Chinese fir plantations using a Bayesian logistic multilevel method. Can. J. For. Res. 47:1278-1285.

**Cao, Q. V.** 2017. An integrated system for modeling tree and stand survival. Can. J. For. Res. 47:1405-1409.

Özçelik, R. and **Q. V. Cao**. 2017. Evaluation of fitting and adjustment methods for taper and volume prediction of black
pine in Turkey. For. Sci. 63:349-355.

**Cao, Q. V.** 2017. Evaluation of methods for modeling individual tree survival. For. Sci. 63:356-361.

Zhang X., **Q. V. Cao**, C. Xiang, A. Duan, and J. Zhang. 2017. Predicting total and component biomass of Chinese fir using a forecast combination
method. iForest 10: 687-691.

Zhang, X., **Q. V. Cao**, A. Duan, and J. Zhang. 2016. Self-thinning trajectories of Chinese fir plantations in southern China. For. Sci. 62:594-599.

**Cao, Q. V.**, and J. Wang. 2015. Evaluation of methods for calibrating a tree taper equation. For. Sci. 61:213-219.

Hevia, A., **Q. V. Cao**, J. G. Álvarez-González, A. D. Ruiz-González, K. von Gadow. 2015. Compatibility of whole-stand and individual-tree models using composite estimators
and disaggregation. For. Ecol. Mgt. 348:46-56.

**Cao, Q. V.** 2014. Linking individual-tree and whole-stand models for forest growth and yield prediction. For. Ecosys. 1:18.

Zhang, X., A. Duan, L. Dong, **Q. V. Cao**, and J. Zhang. 2014. The application of Bayesian model averaging in compatibility of stand basal area for
even-aged plantations in southern China. For. Sci. 60:645-651.

**Cao, Q. V.**, and D. W. Coble. 2014. Deriving a diameter distribution from stand table data. For. Sci. 60:628-635.

Bohora, S. B., and **Q. V. Cao**,. 2014. Prediction of tree diameter growth using quantile regression and mixed-effects models. For. Ecol. Mgt. 319:62-66.

Dean, T. J., M. Jerez, and **Q. V. Cao**. 2013. A simple stand growth model based on canopy dynamics and biomechanics. For. Sci. 59:335-344.

Poudel, K., and **Q. V. Cao**. 2013. Evaluation of methods to predict Weibull parameters for characterizing diameter distributions. For. Sci. 59:243-252.

Coble, D. W., **Q. V. Cao**, and L. Jordan. 2012. An annual tree survival and diameter growth model for loblolly and slash pine plantations
in east Texas. South. J. Appl. For. 36:79-84.

Zhang, X., Y. Lei, **Q. V. Cao**, X. Chen, and X. Liu. 2011. Improving tree survival prediction with forecast combination and disaggregation. Can. J. For. Res. 41:1928-1935.

**Cao, Q. V.**, and J. Wang. 2011. Calibrating fixed- and mixed-effects taper equations. For. Ecol. Mgt. 262:671-673.

Allen II, M. G., D. W. Coble, **Q. V. Cao**, J. Yeiser, and I. Hung. 2011. A modified stand table projection growth model for unmanaged loblolly and slash pine
plantations in east Texas. South. J. Appl. For. 35:115-120.

**Cao, Q. V.**, and T. J. Dean. 2011. Modeling crown structure from LiDAR data with statistical distributions. For. Sci. 57:359-364.

Zhang, X., Y. Lei, and **Q. V. Cao**. 2010. Compatibility of stand basal area predictions based on forecast combination. For. Sci. 56:552-557.

**Cao, Q. V.**, F. Yao, and Q. Wu. 2010. Effects of sample size on characterization of wood-strand length distribution. Wood and Fiber Sci. 42:46-50.

**Cao, Q. V.** 2009. Calibrating a segmented taper equation with two diameter measurements. South. J. Appl. For. 33:58-61.

Strub, M. R., C. J. Cieszewski, and **Q. V. Cao**. 2009. 2007 Southern Mensurationists Conference. South. J. Appl. For. 33:52.

Dean, T. J., **Q. V. Cao**, S. D. Roberts, D. L. Evans. 2009. Modeling crown structure from airborne laser scanner data. For. Ecol. Mgt. 257:126-133.

**Cao, Q. V.**, P. Tian,, and Q. Wu. 2009. Modeling diameter distributions of poly(N-isopropylacrylamide-co-methacrylic acid)
nanoparticles. J. Appl. Polymer Sci. 111:2584.2589.

**Cao, Q. V.**, and M. R. Strub. 2008. Simultaneous estimation of parameters of an annual tree survival and diameter growth
model. For. Sci. 54:617-624.

**Cao, Q. V.**, and T. J. Dean. 2008. Using segmented regression to model the density-size relationship in direct-seeded
slash pine stand. For. Ecol. Mgt. 255:948-952.

**Cao, Q. V.**, and Q. Wu. 2007. Characterizing wood fiber and particle length with a mixture distribution and a segmented
distribution. Holzforschung 61:124-130.

Qin, J., **Q. V. Cao**, and D. C. Blouin. 2007. Projection of a diameter distribution through time. Can. J. For. Res. 37:188-194.

Lu, J. Z., C. J. Monlezun, Q. Wu, and **Q. V. Cao**. 2007. Fitting Weibull and lognormal distributions to wood fiber length. Wood and Fiber Sci. 39:82-94.

**Cao, Q. V.** 2007. Incorporating whole-stand and individual-tree models in a stand-table projection system. For. Sci. 53:45-49.

**Cao, Q. V.** 2006. Predictions of individual-tree and whole-stand attributes for loblolly pine plantations. For. Ecol. Mgt. 236:342-347.

Nord-Larsen, T., and **Q. V. Cao**. 2006. A diameter distribution model for even-aged beech in Denmark. For. Ecol. Mgt. 231:218-225.

Qin, J., and **Q. V. Cao**. 2006. Using disaggregation to link individual-tree and whole-stand growth models. Can. J. For. Res. 36:953-960.

Jerez, M., T. J. Dean, **Q. V. Cao**, and S. D. Roberts. 2005. Describing leaf area distribution in loblolly pine plantations with the Johnson’s
SB function. For. Sci. 51:93-101.

**Cao, Q. V.** 2004. Predicting parameters of a Weibull function for modeling diameter distribution. For. Sci. 50:682-685.

Dean, T. J., and **Q. V. Cao**. 2003. Inherent correlations between stand biomass variables calculated from tree measurements. For. Sci. 49:279-284.

Ochi, N., and **Q. V. Cao**. 2003. A comparison of compatible and annual growth models. For. Sci. 49:285-290.

**Cao, Q. V.**, S. Li, and M. E. McDill. 2002. Developing a system of annual tree growth equations for the loblolly pine-shortleaf
pine type in Louisiana. Can. J. For. Res. 32:2051-2059.

**Cao, Q. V.**, T. J. Dean, and V. C. Baldwin, Jr. 2000. Modeling the size-density relationship in direct-seeded slash pine stands. For. Sci. 46:317-321.

**Cao, Q. V.** 2000. Prediction of annual diameter growth and survival for individual trees from periodic
measurements. For. Sci. 46:127-131.

**Cao, Q. V.**, and V. C. Baldwin, Jr. 1999. A new algorithm for stand table projection models. For. Sci. 45:506-511.

Shi, K., and **Q. V. Cao**. 1997. Leaf area growth and foliage efficiency of loblolly pine plantations. For. Ecol. Mgt. 95:109-115.

**Cao, Q. V.**, V. C. Baldwin, Jr., and R. E. Lohrey. 1997. Site index curves for direct-seeded loblolly and longleaf pines in Louisiana. South. J. Appl. For. 21:134-138.

**Cao, Q. V.** 1997. A method to distribute mortality in diameter distribution models. For. Sci. 43:435-442.

**Cao, Q. V.** 1994. A tree survival equation and diameter growth model for loblolly pine based on the
self-thinning rule. J. Appl. Ecology 31:693-698.

**Cao, Q. V.** 1993. Estimating coefficients of base-age invariant site index equations. Can. J. For. Res. 23:2343-2347.

**Cao, Q. V.**, and K. M. Durand. 1991. A growth and yield model for improved eastern cottonwood plantations in the lower
Mississippi Delta. South. J. Appl. For. 15:213-216.

**Cao, Q. V.**, and K. M. Durand. 1991. Site index curves for eastern cottonwood plantations in the lower Mississippi Delta. South. J. Appl. For. 15:28-30.

Hawkins, K. E., J. E. Hotvedt, **Q. V. Cao**, and B. D. Jackson. 1988. Using the Weibull distribution to model harvesting machine productivity. For. Prod. J. 38:59-65.

Parresol, B. R., J. E. Hotvedt, and **Q. V. Cao**. 1987. A volume and taper prediction system for baldcypress. Can. J. For. Res. 17:250-259.

Valenti, M. A., and **Q. V. Cao**. 1986. Use of crown ratio to improve loblolly pine taper equations. Can. J. For. Res. 16:1141-1145.

**Cao, Q. V.**, and W. D. Pepper. 1986. Predicting inside bark diameter for shortleaf, loblolly, and longleaf pines. South. J. Appl. For. 10:220-224.

Valenti, M. A., and **Q. V. Cao**. 1986. A comparison of the effects of one-step and two-step pruning on loblolly pine stem
form. South. J. Appl. For. 10:251-253.

Brewer, J. A., P. Y. Burns, and **Q. V. Cao**. 1985. Short-term projection accuracy of five asymptotic height-age curves for loblolly pine. For. Sci. 31:414-418.

Hotvedt, J. E., **Q. V. Cao**, and B. R. Parresol. 1985. Tree-volume and stem-profile functions for baldcypress. South. J. Appl. For. 9:227-232.

**Cao, Q. V.**, and H. E. Burkhart. 1984. A segmented distribution approach for modeling diameter frequency data. For. Sci. 30:129-137.

**Cao, Q. V.**, H. E. Burkhart, and T. A. Max. 1980. Evaluation of two methods for cubic-volume prediction of loblolly pine to any merchantable
limit. For. Sci. 26:71-80.

**Cao, Q. V.**, and H. E. Burkhart. 1980. Cubic-foot volume of loblolly pine to any height limit. South. J. Appl. For. 4:166-168.