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Amateis, R. L. and H. E. Burkhart. 2012.  Rotation-age results from a loblolly pine spacing trial. Southern Journal of Applied Forestry 36(1):11-18. doi: http://dx.doi.org/10.5849/sjaf.10-038

Amateis, R.L. and H.E. Burkhart. 2013. Relating quantity, quality and value of lumber to planting density for loblolly pine plantations. Southern Journal of Applied Forestry 37(2):97-101. doi: http://dx.doi.org/10.5849/sjaf.12-012

Amateis, R.L., H.E. Burkhart, and G.Y. Jeong. 2013. Modulus of elasticity declines with decreasing planting density of loblolly pine (Pinus taeda) plantations. Annals of Forest Science 70:743-750. doi: http://dx.doi.org/10.1007/s13595-013-0316-6

Antón-Fernández, C., H. E. Burkhart, and R. L. Amateis. 2012.  Modeling the effects of initial spacing on stand basal area development of loblolly pine.  Forest Science 58(2):95-105. doi: http://dx.doi.org/10.5849/forsci.10-074

Blinn, C.E., T.J. Albaugh, T.R. Fox, R.H. Wynne, J.L. Stape, R.A. Rubilar and H.L. Allen. 2012. A method for estimating deciduous competition in pine stands using Landsat. Southern Journal of Applied Forestry 36(2):71-78. http://dx.doi.org/10.5849/sjaf.10-034

Brooks, E.B., R.H. Wynne, V.A. Thomas, C.E. Blinn, and J.W. Coulston. 2013. On-the-fly massively multitemporal change detection using statistical quality control charts and Landsat data. IEEE Transactions on Geosciences and Remote Sensing 52(5):1-17. doi: http://dx.doi.org/10.1109/TGRS.2013.2272545

Bryars, C., C. Maier, D. Zhao, M. Kane, B. Borders, R. Will, and R. Teskey. 2013. Fixed physiological parameters in the 3-PG model produced accurate estimates of loblolly pine growth on sites in different geographic regions. Forest Ecology and Management 289: 501-514. doi: http://dx.doi.org/10.1016/j.foreco.2012.09.031

Burkhart, H.E. 2012. Comparison of maximum size-density relationships based on alternate stand attributes for predicting tree numbers and stand growth. Forest Ecology and Management 289: 404-408. doi: http://dx.doi.org/10.1016/j.foreco.2012.10.041

Caldwell, P.V., G. Sun, S.G. McNulty, E.C. Cohen, and J.A. Moore Myers. 2012. Impacts of impervious cover, water withdrawals, and climate change on river flows in the conterminous U.S. Hydrology and Earth Systems Sciences. 16:2839-2857. doi: http://dx.doi.org/10.5194/hess-16-2839-2012

Chapman, L.Y., S. McNulty, G. Sun, and Y. Zhang. 2013. Net nitrogen mineralization in natural ecosystems across the conterminous US. International Journal of Geosciences 9:1300-1312. doi: http://dx.doi.org/10.4236/ijg.2013.49125

Domec, J.C., G. Sun, A. Noormets, M. Gavazzi, E. Treasure, E. Cohen, J.J. Swenson, S. McNulty, and J. King. 2012. A comparison of three methods to estimate evapotranspiration in two contrasting loblolly pine plantations: Age-related changes in water use and drought sensitivity of evapotranspiration components. Forest Science 58(5): 497-512. doi: http://dx.doi.org/10.5849/forsci.11-051

Domec, J.-C., J. Ogee, A. Noormets, J. Jouangy, M. Gavazzi, E. Treasure, G. Sun, S.G. McNulty, and J.S. King. 2012. Interactive effects of nocturnal transpiration and climate change on the root hydraulic redistribution and carbon and water budgets of southern United States pine plantations. Tree Physiology 32(6): 707-723. doi: http://dx.doi.org/10.1093/treephys/tps018

Garcia, O., H.E. Burkhart, and R.L. Amateis. 2011. A biologically-consistent stand growth model for loblolly pine in the Piedmont physiographic region, USA. Forest Ecology and Management 262(11):2035-2041. doi: http://dx.doi.org/10.1016/j.foreco.2011.08.047 

Gonzalez-Benecke CA, Teskey RO, Martin TA, Jokela EJ, Fox TR, Kane MB, Noormets A. 2016. Regional validation and improved parameterization of the 3-PG model for Pinus taeda stands. Forest Ecology and Management 361: 237–256. http://www.dx.doi.org/10.1016/j.foreco.2015.11.025

Gonzalez-Benecke, C.A., E.J. Jokela, and T.A. Martin. 2012. Modeling the effects of stand development, site quality, and silviculture on leaf area index, litterfall, and forest floor accumulations in loblolly and slash pine plantations. Forest Science 58(5): 457-471. doi: http://dx.doi.org/10.5849/forsci.11-072

Gonzalez-Benecke, C.A., T.A. Martin, E.J. Jokela, and R. De La Torre. 2011. A flexible hybrid model of life cycle carbon balance for loblolly pine (Pinus taeda L.) management systems.  Forests 2(3):749-776. doi: http://dx.doi.org/10.3390/f2030749

Mortazavi, B., M.H. Conte, J.P Chanton, J.C. Weber, T.A. Martin, and W.C. Cropper, Jr. 2012. Variability in the carbon isotopic composition of foliage carbon pools (soluble carbohydrates, waxes) and respiration fluxes in southeastern U.S. pine forests. Journal of Geophysical Research 117, G02009. doi: http://dx.doi.org/10.1029/2011JG001867

Noormets, A., S.G. McNulty, J.C. Domec, M.J. Gavazzi, G. Sun, and J.S. King. 2012. The role of harvest residue in rotation cycle carbon balance in loblolly pine plantations. Respiration partitioning approach. Global Change Biology 18(10):3186-3201. doi: http://dx.doi.org/10.1111/j.1365-2486.2012.02776.x

Novick, K. A., Oishi, A. C., Ward, E. J., Siqueira, M. B. S., Juang, J.-Y. and Stoy, P. C. 2015. On the difference in the net ecosystem exchange of CO2 between deciduous and evergreen forests in the southeastern United States. Global Change Biology 21: 827–842. doi: 10.1111/gcb.12723

Peduzzi, A., R.H. Wynne, T.R. Fox, R.F. Nelson and V.A. Thomas. 2012. Estimating leaf area index in intensively managed pine plantations using airborne laser scanner data. Forest Ecology and Management 270:54-65. doi: http://dx.doi.org/10.1016/j.foreco.2011.12.048 

Peduzzi, A., R.H. Wynne, V.A. Thomas, R.F. Nelson, J.J. Reis, M. Sanford. 2012. Combined use of airborne lidar and DBInSAR data to estimate LAI in temperate mixed forests. Remote Sensing 4(6): 1758-1780. doi: http://dx.doi.org/10.3390/rs4061758

Ross, C.W., S. Grunwald, and D.B. Myers. 2014. Spatiotemporal modeling of soil organic carbon stocks across a subtropical region. Science of the Total Environment 461-462:149-157 doi: http://dx.doi.org/10.1016/j.scitotenv.2013.04.070

Russell, M.B., H.E. Burkhart, R.L. Amateis, and S.P. Prisley. 2012. Regional locale and its influence on the prediction of loblolly pine diameter distributions. Southern Journal of Applied Forestry 36(4): 198-203. doi: http://dx.doi.org/10.5849/sjaf.10-030.

Sabatia, C.O., and H.E. Burkhart. 2012. Competition among loblolly pine trees: Does genetic variability of the trees in a stand matter? Forest Ecology and Management 263(1):122-130. doi: http://dx.doi.org/10.1016/j.foreco.2011.09.009 

Sabatia, C.O. and H.E. Burkhart. 2013. Height and diameter relationships and distributions in loblolly pine stands of enhanced genetic material. Forest Science 59(3):278-789. doi: http://dx.doi.org/10.5849/forsci.11-093

Sabatia, C.O. and H.E. Burkhart. 2013. Modeling height development of loblolly pine genetic varieties. Forest Science 59(3): 267-277. doi: http://dx.doi.org/10.5849/forsci.11-103

Sun, G., K. Alstad, J. Chen, S. Chen, C.R. Ford, G. Lin, C. Liu, N. Lu, S.G. McNulty, H. Miao, A. Noormets, J.M. Vose, B. Wilske, M. Zeppel, Y. Zhang, and Z. Zhang. 2011. A general predictive model for estimating monthly ecosystem evapotranspiration. Ecohydrology 4: 245-255. doi: http://dx.doi.org/10.1002/eco.194

Sun, S.-L., G. Sun, P. Caldwell, S. McNulty, E. Cohen, J.-F. Xiao, and Y. Zhang. 2015. Drought Impacts on Ecosystem Functions of the U.S. National Forests and Grasslands: Part I. Evaluation of a Water and Carbon Balance Model, Forest Ecology and Management 353: 260–268. http://dx.doi.org/10.1016/j.foreco.2015.03.054

Sun, S.-L., G. Sun, P. Caldwell, S. McNulty, E. Cohen, J.-F. Xiao, and Y. Zhang. 2015. Drought Impacts on Ecosystem Functions of the U.S. National Forests and Grasslands: Part II Model Results and Management Implications. Forest Ecology and Management, 353 (2015) 269–279. http://dx.doi.org/10.1016/j.foreco.2015.04.002

Sun, G., P. Caldwell, A. Noormets, E. Cohen, S.G. McNulty, E. Treasure, J.-C. Domec, Q. Mu, J. Xiao, R. John, and J. Chen. 2011a. Upscaling key ecosystem functions across the conterminous U.S. by a Water-Centric Ecosystem Model. Journal of Geophysical Research 116, G00J05. doi: http://dx.doi.org/10.1029/2010JG001573

Tor-ngern, P., Oren, R., Ward, E. J., Palmroth, S., McCarthy, H. R. and Domec, J.-C. 2015. Increases in atmospheric CO2 have little influence on transpiration of a temperate forest canopy. New Phytologist 205: 518–525. http://www.dx.doi.org/10.1111/nph.13148

VanderSchaaf, C.L. and H.E. Burkhart. 2012. Development of planting density-specific density management diagrams for loblolly pine. Southern Journal of Applied Forestry 36(3): 126-129. doi: http://dx.doi.org/10.5849/sjaf.10-043

Zhang, F., J.M. Chen, J. Chen, C.M. Gough, D. Dragoni, and T.A. Martin. Evaluating spatial and temporal patterns of MODIS GPP over the conterminous U.S. against flux measurements and a process model. Remote Sensing of Environment 124:717-729. doi: http://dx.doi.org/10.1016/j.rse.2012.06.023

Duan, K., Sun, G., Sun, S., Caldwell, P.V., Cohen, E.C., McNulty, S.G., Aldridge, H.D., and Zhang, Y. 2016. Divergence of ecosystem services in U.S. National Forests and Grasslands under a changing climate. Scientific Reports 6:24441. http://dx.doi.org/10.1038/srep24441.

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The Pine Integrated Network: Education, Mitigation, and Adaptation project (PINEMAP) is a Coordinated Agricultural Project funded by the USDA National Institute of Food and Agriculture, Award #2011-68002-30185.