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Albaugh, T.J., L.C. Kiser, T.R. Fox, H.L. Allen, R.A. Rafael, and J. L. Stape. 2014. Ecosystem nutrient retention after fertilization of Pinus taeda. Forest Science. http://dx.doi.org/10.5489/forsci.13-159.

Albaugh, J.M., J.-C. Domec, C.A. Maier, E.B. Sucre, Z.H. Leggett, and J.S. King. 2014. Gas exchange and stand-level estimates of water use and gross primary productivity in an experimental pine and switchgrass intercrop forestry system on the Lower Coastal Plain of North Carolina, U.S.A. Agricultural and Forest Meteorology 192-193:27-40. doi: http://dx.doi.org/10.1016/j.agrformet.2014.02.013

Albaugh, T.J., E.D. Vance, C. Gaudreult, T.R. Fox, H. L. Allen, J. L. Stape, and R.A. Rubilar. 2012. Carbon emissions and sequestration from fertilization of pine in the southeastern United States. Forest Science 58(5): 419-429. doi: http://dx.doi.org/10.5849/forsci.11-050

Albaugh, T.J., H.L. Allen, J.L. Stape, T.R. Fox, R.A. Rubilar, and J.W. Price. 2012. Intra-annual nutrient flux in Pinus taeda. Tree Physiology 32(10): 1237-1258. doi: http://dx.doi.org/10.1093/treephys/tps082

Albaugh, T.J., J.L. Stape, T.R. Fox, R.A. Rubilar, and H.L. Allen. 2012. Midrotation vegetation control and fertilization response in Pinus taeda and Pinus elliottii across the Southeastern United States. Southern Journal of Applied Forestry 36(1):44-53. doi: http://dx.doi.org/10.5849/sjaf.10-042

Albaugh, T.J., T.R. Fox, C.E. Blinn, H.L. Allen, R.A. Rubilar, and J.L. Stape. 2013. Developing a New Foliar Nutrient-Based Method to Predict Response to Competing Vegetation Control in Pinus taeda. Southern Journal of Applied Forestry 37(4):196-201. doi: http://dx.doi.org/10.5849/sjaf.12-025

Bartkowiak, SM, Samuelson, L., McGuire, MA and Teskey, R. 2015. Fertilization increases sensitivity of canopy stomatal conductance and transpiration to throughfall reduction in an 8-year-old loblolly pine plantation.  Forest Ecology and Management 354:87-96. http://dx.doi.org/10.1016/j.foreco.2015.06.033

Bell, DM, Ward, EJ, Oishi, AC, Oren, R, Flikkema, PG and Clark, JS. 2015.  A state-space modeling approach to estimating canopy conductance and associated uncertainties from sap flux density data. Tree Physiology 35, 792–802. doi:10.1093/treephys/tpv041

Bracho, R.G., G. Starr, H.L.  Gholz., T.A. Martin, W.P. Cropper, and H.W. Loescher. 2012. Controls on carbon dynamics by ecosystem structure and climate for southeastern U.S. slash pine plantations. Ecological Monographs 82: 101-128. doi: http://dx.doi.org/10.1890/11-0587.1

Campoe, O.C., J.L. Stape, T. J. Albaugh, H. L. Allen, T.R. Fox, R. Rubilar, and D. Binkley. 2012. Fertilization and irrigation effects on tree level aboveground net primary production, light interception and light use efficiency in a loblolly pine plantation. Forest Ecology and Management 288: 43-38. doi: http://dx.doi.org/10.1016/j.foreco.2012.05.026

Carlson, C.A., T.R.Fox, H.L. Allen, T.A. Albaugh, J.L. Stape, and R.P. Rubilar. 2014. Growth responses of loblolly pine in the Southeast United States to midrotation applications of nitrogen, phosphorus, potassium, and micronutrients. Forest Science 60(1):157-169. doi: http://dx.doi.org/10.5849/forsci.12-158

Domec, J-C, Ward EJ, Oishi AC, Palmroth S, Radecki A, Bell DM, Miao G, Gavazzi M, Johnson DM, King JS, McNulty SG, Oren R, Sun G, Noormets A. 2015. Conversion of natural forests to managed forest plantations impacts tree response to climatic variable and affects negatively tree resistance to prolonged droughts. Forest Ecology and Management: 355:58-71. doi:10.1016/j.foreco.2015.04.012

Domec, J.-C. 2011. Let’s not forget about the effect of xylem surface tension on plant water relations. Tree Physiology 31:359-360. doi: http://dx.doi.org/10.1093/treephys/tpr039

Elliot, J.R. and T.R. Fox. 2014. Ammonia volatilization following fertilization with urea or ureaform in a thinned loblolly pine plantation. Soil Science Society of America Journal 78:1469-1473.

Gonzalez-Benecke, C.A., E.J. Jokela, W.P. Cropper, Jr., R.G. Bracho, and D.J. Leduc. 2014. Parameterization of the 3-PG model for Pinus elliottii stands using alternative methods to estimate fertility rating, biomass partitioning and canopy closure. Forest Ecology and Management 327:55-75.

Gonzalez-Benecke, C.A., S.A. Gezan, T.J. Albaugh, H.L. Allen, H.E. Burkhart, T.R. Fox, E.J. Jokela, C.A. Maier, T.A. Martin, R.A. Rubilar, and L.J. Samuelson. 2014. Local and general above-stump biomass functions for loblolly and slash pine trees. Forest Ecology and Management. http://dx.doi.org/10.1016/j.foreco.2014.09.002.

Gopalakrishnan R, Thomas VA, Coulston JW, and RH Wynne. 2015. Prediction of Canopy Heights over a Large Region Using Heterogeneous Lidar Datasets: Efficacy and Challenges. Remote Sensing 7 (9): 11036-11060. http://www.dx.doi.org/10.3390/rs70911036

Johnsen, K.H., T. Keyser, J. Butnor, C. Gonzalez-Benecke, D. Kaczmarek, C. Maier, H. McCarthy, and G. Sun. 2013. Forest productivity and carbon sequestration of forests in the southern United States. In:  Climate Change Adaptation and Mitigation Management Options (ed. Jim Vose). CRC Press.

Johnson D.M., C.R. Brodersen, M. Reed, J.C. Domec, R.B. Jackson. 2014. Contrasting hydraulic architecture and function in deep and shallow roots of tree species from a semi-arid habitat. Annals of Botany 113: 614-627. http://dx.doi.org/10.1093/aob/mct294.

Johnson, K. H., L.J. Samuelson, F.G. Sanchez, and R. J. Eaton. 2013. Soil carbon and nitrogen content and stabilization in mid-rotation, intensively managed sweetgum and loblolly pine stands. Forest Ecology and Management 302: 144-153. doi: http://dx.doi.org/10.1016/j.foreco.2013.03.016

Jones, P.D. and T.R. Fox. 2013. Stem sinuosity in Pinus taeda stands: Is it a problem we need to be concerned with? Forest Products Journal 62:354-358.

Kiser, L.C. and T.R. Fox. 2012. Soil accumulation of nitrogen and phosphorous following annual fertilization of loblolly pine and sweetgum on sandy sites. Soil Science Society of America Journal 76:2278-2288. doi: http://dx.doi.org/10.2136/sssaj2012.0118

Kiser, L.C., T.R. Fox, and C.A. Carlson. 2013. Foliage and litter chemistry, decomposition, and nutrient release in Pinus taeda. Forests 4:5965-612. doi: http://dx.doi.org/10.3390/f4030595

Maier, C.A., K.H. Johnsen, P. Dougherty, D. McInnis, P. Anderson, and S. Patterson. 2012. Effect of harvest residue management on tree productivity and carbon pools during early stand development in a loblolly pine plantation. Forest Science 58(5): 430-445. doi: http://dx.doi.org/10.5849/forsci.11-069 

McDowell, N.G., R.A. Fisher, C. Xu, J.C. Domec, T. Hölttä, et al 2013. Evaluating theories of drought-induced vegetation mortality using a multi-model experiment framework. Tansley Review New Phytologist 200:304-321. doi: http://onlinelibrary.wiley.com/doi/10.1111/nph.12465/full

Miller, B.W. and T.R. Fox. 2011. Long-term fertilizer effects on oxalate desorbable phosphorus pools in a typic paleaquult. Soil Science Society of America Journal 75 (3):1110-1116. doi: http://dx.doi.org/10.2136/sssaj2010.0037

Minick, K.J., B.D. Strahm, T.R. Fox, E.B.Sucre, Z.H. Leggett, and J.L. Zerpa. 2014. Switchgrass intercropping reduces soil inorganic nitrogen in a young loblolly pine plantation in coastal North Carolina. Forest Ecology and Management 319:161-168.

Noormets A, Epron D, Domec JC, McNulty SG, Fox TD, Sun G, King JS. 2015. Effects of forest management on productivity and carbon sequestration: a review. Forest Ecology and Management 355: 124-140. http://dx.doi.org/10.1016/j.foreco.2015.05.019

Noormets A, Nouvellon Y. 2015. Introduction for special issue: Carbon, water and nutrient cycling in managed forests. Forest Ecology and Management 355: 1-3. http://dx.doi.org/10.1016/j.foreco.2015.08.022

Palmroth, S., G.G. Katul, C.A. Maier, E. Ward, S. Manzoni, and G. Vico. 2013. On the complementary relationship between marginal nitrogen and water use efficiencies among Pinus taeda leaves grown under ambient and enriched CO₂ environments. Annals of Biology 111:467-477 doi: http://dx.doi.org/10.1093/aob/mcs268

Pile, L. C.A. Maier, G.G. Wang, D. Yu, T.M. Shearman. 2016. Response of two genetically superior loblolly pine clonal ideotypes to a severe ice storm. Forest Ecology and Management 360: 213-220. http://dx.doi.org/10.1016/j.foreco.2015.10.044

McElligott, K.M., Seiler, J.R., and B.D. Strahm. 2016. Partitioning soil respiration across four age classes of loblolly pine (Pinus Taeda L.) on the Virginia Piedmont. Forest Ecology and Management 378, pp. 173-180. http://authors.elsevier.com/a/1TSZZ1L~Gw8~tI

Raymond, J., T. Fox and B. Strahm. 2014. Can enhanced efficiency fertilizers affect the fate of nitrogen in loblolly pine plantations. Better Crops. 98(2):4-6.

Sabatia, C.O. and H. E. Burkhart. 2014. Predicting site index of plantation loblolly pine from biophysical variables. Forest Ecology and Management 326: 142-156.

Samuelson, L.J., C.J. Pell, T.A. Stokes, S.M. Bartkowiak, M.K. Akers, M. Kane, D. Markewitz, M.A. McGuire, and R.O. Teskey. 2014. Two-year throughfall and fertilization effects on leaf physiology and growth of loblolly pine in the Georgia Piedmont. Forest Ecology and Management 330:29-37. doi: http://dx.doi.org/10.1016/j.foreco.2014.06.030

Samuelson, L.J., T.A. Stokes, and K.H. Johnsen. 2012. Ecophysiological comparison of 50-year-old longleaf pine, slash pine and loblolly pine.  Forest Ecology and Management 274:108-115.
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Samuelson, L.J., T.L. Eberhardt, S.M. Bartkowiak, and K.H. Johnsen. 2013. Relationships between climate, radial growth and wood properties of mature loblolly pine in Hawaii and a northern and southern site in the southeastern United States. Forest Ecology and Management 310:786-795. doi: http://dx.doi.org/10.1016/j.foreco.2013.09.025

Stovall, J.P., J.R. Seiler, and T.R. Fox. 2013. Allometry varies among six-year-old Pinus taeda (L.) clones in the Virginia Piedmont. Forest Science 59(1): 50-62. doi: http://dx.doi.org/10.5849/forsci.10-095.

Stovall, J. P., C.A. Carlson, J.R. Seiler, T.R. Fox, and M.A. Yanez. 2011. Growth and stem quality responses to fertilizer applications by 21 loblolly pine clones in the Virginia Piedmont. Forest Ecology and Management 261: 362-372.doi: http://dx.doi.org/10.1016/j.foreco.2010.10.018

Stovall, J.P., T.R. Fox, and J. R. Seiler. 2012. Short-term changes in biomass partitioning of two full-sib clones of Pinus taeda L. under differing fertilizer regimes over four months. Trees: Structure and Function 26(3):951-961. doi: http://dx.doi.org/10.1007/s00468-011-0673-4

Subedi, S., M. Kane, D. Zhao, B. Borders, and D. Greene. 2012. Cultural intensity and planting density effects on aboveground biomass of 12-year-old loblolly pine trees in the Upper Coastal Plain and Piedmont of the Southeastern United States. Forest Ecology and Management 267: 157-162. doi: http://dx.doi.org/10.1016/j.foreco.2011.12.008

Templeton, B.S., J.R. Seiler, J.A. Peterson, M. Tyree. 2015. Environmental and stand management Influences on Soil CO₂ Efflux across the Range of Loblolly Pine.  Forest Ecology and Management 355: 15-23. http://www.dx.doi.org/10.1016/j.foreco.2015.01.031

Tian, S., Youssef, M.A., Sun, G., Chescheir, G.M., Noormets, A., Amatya, D.M., Skaggs, R.W., King, J.S., McNulty, S., Gavazzi, M., Miao, G., Domec, J.-C., 2015. Testing DRAINMOD-FOREST for predicting evapotranspiration in a mid-rotation pine plantation. Forest Ecology and Management 355:37-47. http://dx.doi.org/10.1016/j.foreco.2015.03.028

Tyree, M.C., J.R. Seiler, and C.A. Maier. 2014. Contrasting genotypes, soil amendments, and their interactive effects on short-term total soil CO₂ efflux in a 3-year-old Pinus taeda L. plantation. Soil Biology and Biochemistry 69:93-100. doi: http://dx.doi.org/10.1016/j.soilbio.2013.10.050

Vogel, J.G., L. Suau, T.A. Martin, and E.J. Jokela. 2011. Long term effects of weed control and fertilization on the carbon and nitrogen pools of a slash and loblolly pine forest in north central Florida. Canadian Journal of Forest Research 41(3):552-567. doi: http://dx.doi.org/10.1139/X10-234

Vogel, J.G., He D., Jokela E.J., Hockaday W., and Schuur E.A.G. 2015. The effect of fertilization levels and genetic deployment on the isotopic signature, constituents, and chemistry of soil organic carbon in managed loblolly pine (Pinus taeda L.) forests. Forest Ecology and Management.

Ward EJ, Domec JC, Laviner MA, Fox TD, Sun G, McNulty SG, King JS, Noormets A. 2015. Fertilization simulates drought stress: water use and stomatal conductance of loblolly pine (Pinus taeda) in a factorial fertilization and throughfall reduction experiment. Forest Ecology and Management 355: 72-82. http://www.dx.doi.org/10.1016/j.foreco.2015.04.009

Ward, E.J., R. Oren, D.M. Bell, J.S. Clark, H.R. McCarthy, H. Seok-Kim, and J.-C. Domec. 2013. The effects of elevated CO₂ and nitrogen fertilization on stomatal conductance estimated from scaled sap flux measurements at Duke FACE. Tree Physiology 33(2):135-151. doi: http://dx.doi.org/10.1093/treephys/tps118

Will, R.E., T.R. Fox, M. Akers, J-C Domec, E. Jokela, M. Kane, M.A. Laviner, G. Lokuta, D. Markewitz, M.A. McGuire, C. Meek, A. Noormets, L. Samuelson, J. Seiler, B. Strahm, R. Teskey, J. Vogel, E. Ward, J. West, D. Wilson, T. Martin. 2015.  A Range-wide experiment to investigate nutrient and soil moisture interactions in loblolly pine plantations.  Forests 6: 2014-2028; doi:10.3390/f6062014

Worsham, L., D. Markewitz, N.P. Nibbelink, and L.T. West. 2012. A comparison of three field sampling methods to estimate soil carbon content. Forest Science 58(5): 513-522. doi: http://dx.doi.org/10.5849/forsci.11-084

Xiao, J., Q. Zhuang, B.E. Law, D.D. Baldocchi, J. Chen, A.D. Richardson, J.M. Melillo, K.J. Davis, D.Y. Hollinger, S. Wharton, R. Oren, A. Noormets, M.L. Fischer, S.B. Verma, D.R. Cook, G. Sun, S.G. McNulty, S.C. Wofsy, P.V. Bolstad, S.P. Burns, P.S. Curtis, B.G. Drake, M. Falk, D.R. Foster, L. Gu, J.L. Hadley, G.G. Katul, M. Litvak, S. Ma, T.A. Martin, R. Matamala, T.P. Meyers, R.K. Monson, J.W. Munger, W.C. Oechel, K.T. Paw U, H.P. Schmid, R.L. Scott, G. Starr, A. Suyker, and M.S. Torn. 2011. Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations. Agricultural and Forest Meteorology 151:60-69.  doi: http://dx.doi.org/10.1016/j.agrformet.2010.09.002

Zerpa, J. L. and T.R. Fox. 2011. Controls of Volatile NH3 losses from loblolly pine plantations fertilized with urea in the Southeast US. Soil Science Society of America Journal 75:257-266. doi: http://dx.doi.org/10.2136/sssaj2010.0101  

Zhao, D., M. Kane, B. Borders, S. Subedi, M. Akers.  2012.  Effects of cultural intensity and planting density on stand-level aboveground biomass production and allocation for 12-year-old loblolly pine plantations in the Upper Coastal Plain and Piedmont of the Southeastern United States.  Canadian Journal of Forest Research 42 (1): 111-122. doi: http://dx.doi.org/10.1139/x11-166

Zhao, D. and M. Kane. 2012. Differences in growth dynamics of loblolly and slash pine plantations in the southeastern United States. Forest Ecology and Management 281: 84-92. doi: http://dx.doi.org/10.1016/j.foreco.2012.06.027

Zhao, D., M. Kane, R. Teskey, D. Markewitz, D. Greene, B. Borders. 2014. Impact of management on nutrients, carbon, and energy in aboveground biomass components of mid-rotation loblolly pine (Pinus taeda L.) plantations. Annals of Forest Science. In press. http://dx.doi.org/10.1007/s13595-014-0384-2.

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.

Alberto, F.J., S.N. Aitken, R. Alia, S.C. González-Martínez, H. Hanninen, A. Kremer, F. Lefèvre, T. Lenormand, S. Yeaman, R.W. Whetten, and O. Savolainen. 2013. Potential for evolutionary responses to climate change – evidence from tree populations. Global Change Biology 19(6): 1645-1661. doi: http://dx.doi.org/10.1111/gcb.12181

Aspinwall, M.J., S.E. McKeand, and J.S. King. 2012. Carbon sequestration from 40 years of planting genetically improved loblolly pine across the Southeast United States. Forest Science 58(5): 446-456. doi: http://dx.doi.org/10.5849/forsci.11-058

Chhatre, V., T. Byram, D.B. Neale, J.L. Wegrzyn, and K.V. Krutovsky. 2013. Genetic structure and association mapping of adaptive and selective traits in the East Texas loblolly pine (Pinus taeda L.) breeding populations. Tree Genetics and Genomes 9(5):1161-1178. doi: http://dx.doi.org/10.1007/s11295-013-0624-x

Dasgupta, M. G., V. Dharanishanthi, I. Agarwal, and K. V. Krutovsky. 2015. Development of genetic markers in Eucalyptus species by target enrichment and exome sequencing. PLoS One 10(1): e0116528. http://www.dx.doi.org/10.1371/journal.pone.0116528

Eckert, A. J., J. L. Wegrzyn, J. D. Liechty, J. M. Lee, W. P. Cumbie, J. M. Davis, B. Goldfarb, C. A. Loopstra, S. R. Palle, T. Quesada, C. H. Langley, and D. B. Neale. 2013. The evolutionary genetics of the genes underlying phenotypic associations for loblolly pine (Pinus taeda, Pinaceae). Genetics 195:1353-1372. doi: http://dx.doi.org/10.1534/genetics.113.157198.

Egbäck, S., B.P. Bullock, F. Isik, and S. McKeand. 2015.  Height-diameter relationships for different genetic planting stock of loblolly pine at age six.  Forest Science 61(3): 424-428. http://www.dx.doi.org/10.5849/forsci.14-015

Farjat, A.E., Isik, F., Reich, B.J., Whetten, R.W., McKeand, S.E. 2015. Modeling Climate Change Effects on the Height Growth of Loblolly Pine. Forest Science 61 (4, 5): 703-715. http://www.dx.doi.org/10.5849/forsci.14-075

Isik, F. 2014. Genomic selection in forest tree breeding: the concept and an outlook to the future. New Forests 45(3): 379-401.

Koralewski, T. E., J. E. Brooks, and K. V. Krutovsky, 2014. Molecular evolution of drought tolerance and wood strength related candidate genes in loblolly pine (Pinus taeda L.). Silvae Genetica 63(1-2): 59-66.

Kim, T.J., B.P. Bullock, and S.E. McKeand. 2015. Spatial autocorrelation among different levels of genetic control and spacings in loblolly pine. Forest Science 61(3): 438-444. http://www.dx.doi.org/10.5849/forsci.14-034

Koralewski, T. E., H.-H. Wang, W. E. Grant, and T. D. Byram. 2015. Plants on the move: Assisted migration of forest trees in the face of climate change. Forest Ecology and Management 344: 30-37. http://dx.doi.org/10.1016/j.foreco.2015.02.014

Neale, D.B., J. L. Wegrzyn, K.A. Stevens, A.V. Zimin, D. Puiu, M.W. Crepeau, C. Cadeno, M. Koriabine, A.E. Hotz-Morris, J.D. Liechty, P.J. Martinez-Garcia, H.A. Vasquez-gross, B.Y. Lin J.J. Qieve, W.M. Dougherty, S. Furentes-Soriano, L.-S. Wu, D. Gilbert, G. Marcais, M. Rogerts, C. Holt, M. Yandell, J.M. Davis, K.E. Smith, J. FD Dean, W.W. Lorenz, R.W. Whetten, R. Sederoff, N. Wheeler, P.E. McGuire, D. Main, C.A. Loopstra, K. Moctaitis, P.J. dejong, J.A. Yorke, S.L Salzberg, C.H. Langley. 2014. Decoding the massive genome of loblolly pine using haploid DNA and novel assembly strategies. Genome Biology 15:R59 http://genomebiology.com/2014/15/3/R59

Palle, S. R., C. M. Seeve, A. J. Eckert, J. L. Wegrzyn, D. B. Neale, C. A. Loopstra. 2013. Association of loblolly pine xylem development gene expression with single nucleotide polymorphisms. Tree Physiology 33:763-774. doi: http://dx.doi.org/10.1093/treephys/tpt054

Resende, M.F.R., Jr., P. Muñoz, J.J. Acosta, G.F. Peter, J.M. Davis, D. Grattapaglia, M.D.V. Resende, and M. Kirst. 2012. Accelerating the domestication of trees using genomic selection: Accuracy of prediction models across ages and environments. New Phytologist 193:617-624. doi: http://dx.doi.org/10.1111/j.1469-8137.2011.03895.x

Resende, M.F.R.,Jr., P. Muñoz, M.D.V. Resende, D.J. Garrick, R.L. Fernando, J.M. Davis, E.J. Jokela, T.A. Martin, G.F. Peter, and M. Kirst. 2012. Accuracy of genomic selection methods in a standard dataset of loblolly pine (Pinus taeda L.). Genetics 190: 1503-1510. doi: http://dx.doi.org/10.1534/genetics.111.137026

Smith, B.C., B.P. Bullock, F. Isik, and S.E. McKeand. 2014.  Modeling genetic effects on growth of diverse provenances and families of loblolly pine across optimum and deficient nutrient regimes.  Canadian Journal of Forest Research 44: 1453–1461.

Wegrzyn J.L., J.D. Liechty, K.A. Stevens L.-S. Wu, C.A. Loopstra, H.A. Vasquez-Gross, W.M. Dougherty, B.Y. Lin, J.J. Zieve, P.J. Martinez-Garcia, C. Holt C M. Yandell, A.V. Zimin, J.A. Yorke, M.W. Crepeau, D. Puiu, S.L. Salzberg, P.J. de Jong, K. Mockaitis, D. Main, C.H. Langley, and D.B. Neale. 2014. Unique features of the loblolly pine (Pinus taeda L.) megagenome revealed through sequence annotation. Genetics 196:891-909. doi: http://dx.doi.org/10.1534/genetics.113.159996.

Westbrook J. W., V. E. Chhatre, L-S. Wu, S. Chamala, L. G. Neves, P. Muñoz, P. J. Martínez-García, D. B. Neale, M. Kirst, K. Mockaitis, C. D. Nelson, G. F. Peter, J. M. Davis, and C. S. Echt. 2015. A consensus genetic map for Pinus taeda and Pinus elliottii and extent of linkage disequilibrium in two genotype-phenotype discovery populations of P. taeda. G3 (Bethesda), in press (available online at  http://www.g3journal.org/content/early/2015/06/11/g3.115.019588.abstract)

Zapata-Valenzuela, J., F. Ogut, A. Kegley, W.P. Cumbie, F. Isik, B. Li, and S.E. McKeand.  2014.  Seedling evaluation of Atlantic Coastal and Piedmont sources of Pinus taeda L. and their hybrids for cold hardiness.  Forest Science 61(1):169–175. http://dx.doi.org/10.5849/forsci.12-610

Abt, K., R. Abt, and C. Galik. 2012. Effect of bioenergy demands and supply response on markets, carbon and land use. Forest Science 58(5): 523-539. doi: http://dx.doi.org/10.5849/forsci.11-055

Abt, R.C. and K.L. Abt. 2012. Potential impact of bioenergy demand on the sustainability of the southern forest resource. Journal of Sustainable Forestry 32(1-2):175-194. doi: http://dx.doi.org/10.1080/10549811.2011.652044

Adams, D.C. (Guest Editor). 2015. Special Issue of Forests: Ecosystem services from forests. http://www.mdpi.com/journal/forests/special_issues/forests_services.

An, H., J. Gan, and S. Cho.  2015.  Assessing climate change impacts on wildfire risk in the United States.  Forests 6:3197-3211. http://www.dx.doi.org/10.3390/f6093197

Cademus, R., Escobedo, F.J., McLaughlin, D., and Abd-Elrahman, A. 2014. Analyzing trade-offs, synergies, and drivers among timber production, carbon sequestration, and water yield in Pinus elliotii forests in southeastern USA. Forests, 5:1409-1431.

Daystar, J., Gonzalez, R., Reeb, C., Venditti, R., Treasure, T., Abt, R., and Kelley, S. 2014. Economics, environmental impacts, and supply chain analysis of cellulosic biomass for biofuels in the southern US: Pine, eucalyptus, unmanaged hardwoods, forest residues, switchgrass, and sweet sorghum. BioRes. 9(1), 393-444.

Dwivedi P, Khanna M (2014) Abatement cost of wood-based energy products at the production level on afforested and reforested lands. Global Change Biology Bioenergy. http://dx.doe.org/10.1111/gcbb.12199

Dwivedi P, Khanna M (2014) Abatement cost of GHG emissions for wood-based electricity and ethanol at production and consumption levels. Plos One. 9(6):e100030 (14 pp).

Dwivedi P, Khanna M (2014) Wood-based bioenergy products – land or energy efficient? Canadian Journal of Forest Research 44:1187-1195.

Dwivedi, P., M. Khanna, R. Bailis, A. Ghilardi. 2014. Potential greenhouse gas benefits of transatlantic wood pellet trade. Environmental Research Letters 9 (2), 024007

Dwivedi, P., R. Bailis, and M. Khanna. 2013.  Is Use of Both Pulpwood and Logging Residues Instead of Only Logging Residues for Bioenergy Development a Viable Carbon Mitigation Strategy? BioEnergy Research. doi: http://doi.org/10.1007/s12155-013-9362-z

Galik, C.S. and R.C. Abt. 2012. The effect of assessment scale and metric selection on the greenhouse gas benefits of woody biomass. Biomass and Bioenergy 44:1-7. doi: http://dx.doi.org/10.1016/j.biombioe.2012.04.009

Gan, J. (Guest Editor).  2015.  Special Issue of Forests: Climate change and forest fires. http://www.mdpi.com/journal/forests/special_issues/forest_fire.

Gan, J., A. Jarrett, and C. Johnson Gaither.  2015.  Landowner response to wildfire risk: Adaptation, mitigation or doing nothing.  Journal of Environmental Management 159: 186-191. http://dx.doi.org/10.1016/j.jenvman.2015.06.014

Gan, J. 2013. Economic and environmental competitiveness of US-made forest products: Implications for offshore outsourcing. Journal of Forestry 111(2):94-100. doi: http://dx.doi.org/10.5849/jof.12-053

Gan, J., A. Jarrett, and C. Johnson Gaither. 2014. Wildfire risk adaptation: Propensity of forestland owners to purchase wildfire insurance in the southern U.S. Canadian Journal of Forest Research 44: 1376-1382.

Gan, J., A. Jarrett, and C. Johnson Gaither. 2014. Wildfire risk adaptation: Propensity of forestland owners to purchase wildfire insurance in the southern U.S. Canadian Journal of Forest Research, 44: 1376-1382. http://dx.doi.org/10/1139cjfr-2014-0301.

Gan, J. and B. Cashore. 2013. Opportunities and challenges for integrating bioenergy into sustainable forest management certification programs. Journal of Forestry 111(1):11-16. doi: http://dx.doi.org/10.5849/jof.11-092

Gan, J., C.T. Smith, and J.W.A. Langeveld. 2012. Effects of considering greenhouse gas consequences on fertilizer use in loblolly pine plantations. Journal of Environmental Management 113: 383-389. doi: http://dx.doi.org/10.1016/j.jenvman.2012.09.015

Gonzalez-Benecke, C.A., A. Susaeta, T. Martin, E. Jokela, and D. Carter. 2014. Balancing revenue and nutrient removals in Pinus elliottii Engelm stands managed for pinestraw and wood production. Forest Science 60(1):109-118. doi: http://dx.doi.org/10.5849/forsci.12-144

Grebner, D.L., R.K. Grala, O. Joshi, and G. Perez-Verdin.  2015.  Physical and economic aspects to assessing woody biomass availability for bioenergy production and related supply constraints.  In:  Handbook of Bioenergy (pp. 299-321).  Eds. Eskogilu, S. Rebennack, S., and P.M. Pardalos.  Springer International Publishing, Switzerland  343 p.

Gruchy, S.R., D.L. Grebner, I.A. Munn, O. Joshi, and A. Hussain. 2012. An assessment of nonindustrial private forest landowner willingness to harvest woody biomass in support of bioenergy production in Mississippi: A contingent rating approach. Forest Policy and Economics 15:140-145. doi: http://dx.doi.org/10.1016/j.forpol.2011.09.007

Henderson, J., S.D. Roberts, D.L. Grebner, and I.A Munn. 2013. A graphical comparison of loblolly pine growth-and-yield models. Southern Journal of Applied Forestry 37(3):169-176. doi: http://dx.doi.org/10.5849/sjaf.10-013

Huang, J., B. Abt, G. Kindermann, and S. Ghosh. 2011. Empirical analysis of climate change impact on loblolly pine plantations in the southern United States. Natural Resource Modeling 24(4):445-476. doi: http://dx.doi.org/10.1111/j.1939-7445.2011.00098.x

Joshi, O., Grebner, D.L., Henderson, J.E., and S.R. Gruchy.  2015.  Landowners, bioenergy, and extension strategies.  Journal of Extension, 53(2). Available online at:  http://www.joe.org/joe/2015april/a3.php

Joshi, O., D.L. Grebner, A. Hussain, and S.C. Grado. 2013. Landowner knowledge and willingness to supply woody biomass for wood-based bioenergy: Sample selection approach. Journal of Forest Economics 19(2):97-109. doi: http://dx.doi.org/10.1016/j.jfe.2012.11.003

Joshi, O., Grebner, D.L., Munn, I.A., and R.K. Grala.  2015.  Issues Concerning Landowner Management Plan Adoption Decisions: A Recursive Bivariate Probit Approach.  International Journal of Forestry Research, vol. 2015, Article ID 926303, 8 pages. http://dx.doi.org/10.1155/2015/926303.

Joshi, O. Grebner, D.L., and P. N. Khanal.  2015.  Status of urban wood waste and their potential use for bioenergy in Mississippi.  Resources, Conservation & Recycling, 102(2015):  20-26. http://www.dx.doi.org/10.1016/j.resconrec.2015.06.010

Joshi, O., Grebner, D.L., Munn, I.A., Grado, S.C., Grala, R.K., and A. Hussain.  2014.  Factors influencing utilization of woody biomass from wood processing facilities in Mississippi.  Forest Products Journal, 64(1/2):  64-71.

Joshi, O., D.L. Grebner, I.A. Munn, and A. Hussain. 2013. Understanding Landowner Preferences for Woody Biomass Harvesting: A Choice Experiment-Based Approach. Forest Science 59(5):549-558. doi: http://dx.doi.org/10.2136/sssaj2012.0118

Kabli, M., J. Gan, and L. Ntaimo.  2015.  A stochastic programming model for fuel treatment management.  Forests 6(6): 2148-2162. http://dx.doi.org/10.3390/f6062148.

Kreye, M.M., D.C. Adams, and F.J. Escobedo. 2014. The value of forest conservation for water quality protection. Forests 5(5):862-884. doi: http://dx.doi.org/10.3390/f5050862

Miner, Reid A. Robert C. Abt, Jim L. Bowyer, Marilyn Buford, Robert W. Malmsheimer, Jay O’Laughlin, Elaine E. Oneil, Roger A. Sedjo, Kenneth E. Skog. 2014. Forest Carbon Accounting Considerations in US Bioenergy Policy. Journal of Forestry. http://dx.doi.org/10.5849/jof.14-009

Nepal, P., R.K. Grala, and D.L. Grebner. 2012. Financial feasibility of increasing carbon sequestration in harvested wood products in Mississippi. Forest Policy and Economics 14(1):99-106. doi: http://dx.doi.org/10.1016/j.forpol.2011.08.005

Nepal, P., R.K. Grala, and D.L. Grebner. 2012. Financial implications of enrolling Mississippi forest landowners in carbon offset programs. Southern Journal of Applied Forestry 36(1):5-10. doi: http://dx.doi.org/10.5849/sjaf.09-067

Nepal, P., R.K. Grala, D.L. Grebner, and R. Abt. 2013. Impact of harvest-level changes on carbon accumulation and timber stumpage prices in Mississippi. Southern Journal of Applied Forestry 37(3):160-168. doi: http://dx.doi.org/10.5849/sjaf.12-020

Perez-Verdin, G., J.J. Navar-Chaidez, D.L. Grebner, and C. Soto Alvarez. 2012. Availability and production costs of forest biomass as a feedstock for bioethanol production. Forest Systems 21(3): 526-537. doi: http://dx.doi.org/10.5424/fs/2012213-02636

Susaeta, A.I., C.A. Gonzalez-Benecke, D.R. Carter, T.A. Martin, and E.J. Jokela. 2012. Economical sustainability of pinestraw raking in slash pine stands in the southeastern United States. Ecological Economics 89:89-100. doi: http://dx.doi.org/10.1016/j.ecolecon.2012.05.010

Susaeta, A., Carter, D.R., Adams, D.C. 2014. Impacts of climate change on economics of forestry and adaptation strategies in the Southern United States. Journal of Agricultural and Applied Economics 46(2): 257-272.

Susaeta, A., Carter, D.R., Adams, D.C. 2014. Sustainability of forest management under changing climatic conditions in the southern United States: Adaptation strategies, economic rents and carbon sequestration. Journal of Environmental Management 139: 80-87.

Susaeta, A., Chang, S.J., Carter, D., Lal, P. 2014. Economics of carbon sequestration under fluctuating economic environment, forest management and technological changes: an application to forest stands in the southern United States. Journal of Forest Economics 20(1): 47-64.

Timilsina, N., F.J. Escobedo, W.P. Cropper, A. Abd-Elrahman, T.J.  Brandeis, S. Delphin, and S. Lambert. 2012. A framework for identifying carbon hotspots and forest management drivers. Journal of Environmental Management 114: 293-302. doi:  http://dx.doi.org/10.1016/j.jenvman.2012.10.020

Timilsina, N., W.P. Cropper, Jr., F.J. Escobedo, and J.M. Tucker Lima. 2013. Predicting understory species richness from stand and management characteristics using regression trees. Forests 4(1): 122-136. doi: http://dx.doi.org/10.3390/f4010122

Bowers, A. W., M. C. Monroe, and D. C. Adams. Accepted, in press. Finding the common ground of climate change. Environmental Communication. RENC-2015-0114.R1.

McCabe, S.M., J.F. Munsell, and J.R. Seiler. 2014. Forest field trips among high school science teachers in the southern piedmont. Natural Science Education 43:44-50. doi: http://dx.doi.org/10.4195/nse2013.01.0001

Monroe, M.C. 2012. Enhancing both Cooperative Extension and national environmental education resources. Journal of Extension 50(6) Article 6IAW6. http://www.joe.org/joe/2012december/iw6.php

Monroe, M.C., S. Hall, C. J. Li. In review. Can climate change enhance biology lesson? A quasi-experiment. Applied Environmental Education and Communication.

Monroe, M.C., A. Oxarart, and R.R. Plate. 2013. A role for environmental education in climate change for secondary science educators. Applied Environmental Education and Communication 12: 4-18. doi: http://dx.doi.org/10.1080/1533015X.2013.795827

Monroe, M. C., J. Ireland, and T. A. Martin. 2015. Integration of forestry research and Extension in an Online Graduate Course. Journal of Forestry 113(2): 240-247. http://dx.doi.org/10.5849/jof14-077.

Monroe, M.C., R.R. Plate, D.C. Adams, and D.J. Wojcik. 2014. Harnessing homophily to improve climate change education. Environmental Education Research. doi: http://dx.doi.org/10.1080/13504622.2014.910497.

Monroe, M.C., R.R. Plate, L. Colley. 2015. Assessing an Introduction to Systems Thinking. Natural Sciences Education 44(1): 11-17. http://dx.doi.org/10.4195/nse2014.08.0017.

Munsell, J.F., McCabe, S. and J.R. Seiler. 2015. Forestry Education in US Southern Piedmont High School Science Classes. Journal of Forestry. http://dx.doi.org/10.5849/jof.14-137.

Plate, R. and M. Monroe. 2014. A structure for assessing systems thinking. The Creative Learning Exchange 23(1):1-6 http://clexchange.org/ftp/newsletter/CLEx23.1.pdf#page=1

Framing climate change communication to prompt individual and collective action among adolescents from agricultural communities. Environmental Education Research. DOI: 10.1080/13504622.2017.1318114.

Stevenson, K. T., King, T. L., Selm, K. R, Peterson, M. N., and Monroe, M. C. 2017. Framing climate change communication to prompt individual and collective action among adolescents from agricultural communities. Environmental Education Research. DOI: 10.1080/13504622.2017.1318114.

Burnett, R. E., Vuola, A. J., Megalos, M. A., Adams, D. C., & Monroe, M. C. 2014. North Carolina Cooperative Extension professionals’ climate change perceptions, willingness, and perceived barriers to programming: An educational needs assessment. Journal of Extension [On-line], 52(1) Article 1RIB1.  http://www.joe.org/joe/2014february/rb1.php

Krantz, S. A. and M. C. Monroe. 2015. Message framing matters: Communicating climate change with forest landowners. Journal of Forestry 113 (x): xxx-xxx. http://dx.doi.org/10.5849/jof.14-057.

Krantz, S., M. Monroe, and W.-L. Bartels. 2013. Creating Extension programs for change: Forest landowners and climate change communication. Applied Environmental Education and Communication 12(4):272-279. http://dx.doi.org/10.1080/1533015X.2013.876305

Monroe, M.C. and D.C. Adams. 2012. Increasing response rates to web-based surveys. Journal of Extension 50(6) Article 6TOT7. http://www.joe.org/joe/2012december/tt7.php

Monroe, M.C., Plate, R.R., Adams D.C. and Wojcik, D.J. 2015. Harnessing homophily to improve climate change education. Environmental Education Review 21(2): 221-238. http://dx.doi.org/10.1080/13504622.2014.910497.

Morris, H.L.C., M.A. Megalos, A.J. Vuola, D.C. Adams, and M.C. Monroe. 2014. Cooperative Extension and climate change: Successful program delivery. Journal of Extension 52(2) Article 2COM3. http://www.joe.org/joe/2014april/comm3.php

Morris, H.L.C. Megalos, M.A., Boby, L.A. and Hubbard, W.G. In press. Climate Change Attitudes of Southern Forestry Professionals: Outreach Implications.  Journal of Forestry.

Wojcik, D. J., M. C. Monroe, D. C. Adams, and R. R. Plate. 2014. Message in a bottleneck? Attitudes and perceptions of climate change in the Cooperative Extension Service in the southeastern United States. Journal of Human Sciences and Extension 2(1): 51-70.  Available online at: http://www.jhseonline.com/#!current-issue/c227d