Books and Book chapters (6)
  1. Kainer, K.A., L.H.O. Wadt, and C.L. Staudhammer. 2023. Contribuição associada ao modo de vida de populações locais e à conservação florestal. In Castanha‑da‑amazônia:estudos sobre a espécie e sua cadeia de valor aspectos sociais, econômicos e organizacionais, Volume 1 (L.H.O. Wadt, J.F. Maroccolo, M.C. Guedes, K. Emídio da Silva, Ed.). Embrapa, Brasilia, Brazil. 81-106.
  2. Rumpel, C., F. Amiraslani, J.-C. Lata, C.M. Cordovil, E. Nartey, C.L. Staudhammer, E. Yeboah. 2022. Management of soil carbon sequestration in urban areas including green infrastructures and technosols In Understanding and managing soil carbon sequestration (C. Rumpel, Ed.). Burleigh-Dodds, Cambridge, UK.
  3. Kozak, A., R.A. Kozak, C.L. Staudhammer, S. Watts. 2019. Introductory Probability and Statistics: Applications for Forestry and Natural Sciences, 2nd edition. CABI, Wallingford, UK.
  4. Brandeis, T.J., F.J. Escobedo, C.L. Staudhammer, D.J. Nowak, W.C. Zipperer. 2014. San Juan Bay Estuary Watershed Urban Forest Inventory. Gen.Tech. Rep. SRS-190. Asheville, NC: USDA, Forest Service, Southern Research Station. 52 Pp.
  5. Staudhammer, C.L., L.A. Hermansen-Baez, D.R. Carter, E.A. Macie (editors). 2011. Wood to energy: using southern interface fuels for bioenergy. Gen.Tech. Rep. SRS-132. Asheville, NC: USDA, Forest Service, Southern Research Station. 90 Pp.
  6. Kozak, A., R.A. Kozak, C.L. Staudhammer, S. Watts. 2008. Introductory Probability and Statistics: Applications for Forestry and Natural Sciences. CABI, Wallingford, UK.
Refereed Journal Articles (104) (* represents graduates student or post-doctoral authors under my supervision)
  1. Tang, X., G. Starr, C.L. Staudhammer, K. Zhang, L. Li , N. Li, F.H. Ajloon, Y. Gong*. 2024. VCPNET: A new dataset to benchmark vegetation carbon phenology metrics. Ecological. Informatics 82: 102741 https://doi.org/10.1016/j.ecoinf.2024.102741.
  2. Wright-Osment, N., G. Starr, S. Oberbauer, B. Mortazavi, C.L. Staudhammer. 2024. Recovery of Energetic Metabolites via Subnivean Photosynthesis in Arctic Tundra Plants: Implication for climate change. Ecosphere 15(7): e4936. https://doi.org/10.1002/ecs2.4936.
  3. Clerici, N., C.L. Staudhammer, F.J. Escobedo. 2024. Disentangling the deforestation-environmental crime nexus in Latin America. Trees, Forests and People 17: 100610.
  4. *Yannick, D., S. Oberbauer, C.L. Staudhammer, J. Cherry, G. Starr. 2024. Carbon Dynamics of a Coastal Wetland Transitioning to Mangrove Forest. JGR-Biogeosciences.129, e2023JG007991. https://doi.org/10.1029/2023JG007991.
  5. Whelan, W., S. Bigelow, C.L. Staudhammer, G. Starr, J. Cannon. 2024. Damage prediction for planted longleaf pine in extreme winds. Forest Ecology and Management 560: 121828. https://doi.org/10.1016/j.foreco.2024.121828.
  6. Wright-Osment, N., G. Starr, D.P. Aubrey, B.M. Rau, C.L. Staudhammer. 2023. The Effect of Rapid Development on Soil CO2 efflux in a Cellulosic Biofuel Stand. Forests 14(2): 258.  https://doi.org/10.3390/f14020258.
  7. *Yu, Z, C.L. Staudhammer, S.L. Malone, S.F. Oberbauer, J. Zhao, G. Starr. 2022. Biophysical factors and water dynamics impact methane fluxes in everglades freshwater marshes. Ecosystems. https://doi.org/10.1007/s10021-022-00787-0.
  8. *Romero, F., L. Jacovine, C.M.M.E. Torres, S. Ribeiro, S.J.S. Soares da Rocha, T.N.O. Novais, R.O. Gaspar, L.F. da Silva, E. Vidal, H.G. Leite, C.L. Staudhammer, P. Fearnside. 2022. Aboveground biomass allometric models for large trees in southwestern Amazonia. Trees, Forests and People 9: 100317. https://doi.org/10.1016/j.tfp.2022.100317.
  9. *Lambert, C. S. Landry, A. Koeser, M. Andreu, G. Starr, C.L. Staudhammer. 2022. Impact of model choice in predicting urban forest storm damage when data is uncertain. Landscape and Urban Planning 226: 104467. https://doi.org/10.1016/j.landurbplan.2022.104467.
  10. Ruzol, R., S. Younger, D. Aubrey, H. Loescher, G. Starr, C.L. Staudhammer, C.R. Jackson. 2022. Water use from a young loblolly pine bioenergy plantation: effects of intensive management on stand evapotranspiration. Ecosphere 13(6): e4100. https://doi.org/10.1002/ecs2.4100
  11. *Gong, Y., C.L. Staudhammer, S. Wiesner, Y. Zhang, J. Cannon, G. Starr. 2022. Uncertainty in parameterizing a flux-based phenological model with ecosystem respiration. Ecosphere 13(5): e4101. https://doi.org/10.1002/ecs2.4101
  12. Staudhammer, C.L., S.L. Malone, J. Zhao, Z. Yu, G. Starr, S.F. Oberbauer. 2022. Methane emissions from subtropical wetlands: An evaluation of the role of data filtering on annual methane budgets. Agricultural and Forest Meteorology 321: 108972. https://doi.org/10.1016/j.agrformet.2022.108972
  13. Malone, S.L., P. Olivas, J. Zhao, J. Kominoski, C.L. Staudhammer, J.A. Cummings, S.F. Oberbauer, G. Starr. 2022. Integrating aquatic metabolism and net ecosystem CO2 balance in calcareous short- and long-hydroperiod subtropical freshwater wetlands. Ecosystems 25: 567–585. https://doi.org/10.1007/s10021-021-00672-2.
  14. Kenney, G., C.L. Staudhammer, S. Wiesner, S. Brantley, S. Bigelow, G. Starr. 2021. Hurricane Michael altered the structure and function of longleaf pine woodlands. JGR – Biogeosciences, 126, e2021JG006452. https://doi.org/10.1029/2021JG006452.
  15. Zhao, J., S.L. Malone, C.L. Staudhammer, G. Starr, H. Hartmann, S.F. Oberbauer. 2021. Freshwater wetland plants respond nonlinearly to inundation over a sustained period. American Journal of Botany 108(10): 1-15. https://doi.org/10.1002/ajb2.1746.
  16. Landry, S., A. Koeser, B. Kane, D. Hilbert, D. McLean, M. Andreu, C.L. Staudhammer. 2021. Urban forest response to Hurricane Irma: The role of landscape configuration and sociodemographic context. Urban Forestry & Urban Greening 61: 127093. https://doi.org/10.1016/j.ufug.2021.127093.
  17. *Gong, Y., C.L. Staudhammer, G. Kenney, S. Wiesner, Y. Zhang, G. Starr. 2021. Vegetation structure drives forest phenological recovery after hurricane. Science of the Total Environment 774, 145651. https://doi.org/10.1016/j.scitotenv.2021.145651.
  18. Staudhammer, C.L., L.H.O. Wadt, K.A. Kainer, T.A. da Cunha. 2021. Comparative models disentangle drivers of fruit production variability of an economically and ecologically important long-lived Amazonian tree. 2021. Nature Scientific Reports 1, 2563. https://doi.org/10.1038/s41598-021-81948-4.
  19. *Gong, Y., C.L. Staudhammer, S. Wiesner, G. Starr, Y. Zhang. 2021. Characterizing growing season length of subtropical coniferous forests with a phenological model. Forests 12, 95. https://doi.org/10.3390/f12010095.
  20. *Romero, F., L. Jacovine, C.M.M.E. Torres, C.L. Staudhammer, S. Ribeiro, S.J.S. Soares da Rocha, T.N.O. Novais, R.A.B. Romero, R.O. Gaspar, S.I.S. Velasquez, L.F. da Silva, E. Vidal, P. Fearnside. 2021. Forest management with reduced-impact logging in Amazonia: Estimated aboveground volume and carbon in commercial tree species in managed forest in Brazil’s state of Acre. Forests 12(4):481. https://doi.org/10.3390/f12040481.
  21. Wiesner, S., G. Starr, L. Boring, J. A. Cherry, P.C. Stoy, C.L. Staudhammer. 2020. Forest structure and composition drive differences in metabolic energy and entropy dynamics during temperature extremes in longleaf pine savannas. Agricultural and Forest Meteorology 297, 108252. https://doi.org/10.1016/j.agrformet.2020.108252.
  22. *Caruso, N., C.L. Staudhammer, L.J. Rissler. 2020. A demographic approach to understanding the effects of climate on population growth. Oecologia. 193, 889–901. https://doi.org/10.1007/s00442-020-04731-8.
  23. Bongiolo, E., K.A. Kainer, W. Cropper, C.L. Staudhammer, L.H.O. Wadt. 2020. Swidden fallow management to increase landscape-level Brazil nut productivity. Forest Ecology and Management 464: 118019. https://doi.org/10.1016/j.foreco.2020.118019. 
  24. Wiesner, S., P. Stoy, C.L. Staudhammer, G. Starr. 2020. Using metabolic energy density metrics to understand differences in ecosystem function during drought. JGR-Biogeosciences 125(94). https://doi.org/10.1029/2019JG005335.
  25. *Romero, F., L. Jacovine, S. Ribeiro, J.A.F. Neto, L. Ferrante, S.J.S. Soares da Rocha, C.M.M.E. Torres, V.T. Machado de Morais Jr., R.O. Gaspar, S.I.S. Velasquez, E. Vidal, C.L. Staudhammer, P. Fearnside. 2020. Stocks of carbon in logs and timber products from forest management in the southwestern Amazon. Forests 1(10), 1113. https://doi.org/10.3390/f11101113.
  26. *Romero, F., L. Jacovine, S. Ribeiro, C.M.M.E. Torres, L.F. da Silva, R. Gaspar, S.J.S. Soares da Rocha, C.L. Staudhammer, P. Fearnside. 2020. Allometric equations for volume, biomass and carbon in commercial stems harvested in a managed forest in the southwestern Amazon: A case study. Forests 11(8), 874. https://doi.org/10.3390/f11080874.
  27. Zhao, J., S.A. Malone, S.F. Oberbauer, P.C. Olivas, J.L. Schedlbauer, C.L. Staudhammer, G. Starr. 2019. Intensified inundation shifts a freshwater marsh from a CO2 sink to a source. Global Change Biology 25(10): 3319-3333. https://doi.org/10.1111/gcb.14718.
  28. Hiers, J.K., C.L. Staudhammer, J. Hom, J.J. O’Brien, H.L. Gholz, T.A. Martin, G. Starr. 2019. Fine dead fuel moisture shows complex lagged responses to environmental conditions in a palmetto (Serenoa repens) flatwoods. Agricultural & Forest Meteorology 266-267: 20-28. https://doi.org/10.1016/j.agrformet.2018.11.038.
  29. Wiesner, S., C.L. Staudhammer, P. Stoy, L. Boring, G. Starr. 2019. Quantifying energy use efficiency via maximum entropy production: A case study from longleaf pine ecosystems. Biogeosciences 16: 1845-1863. https://doi.org/10.5194/bg-16-1845-2019.
  30. Wiesner, S., C.L. Staudhammer, C. Javaheri, J.K. Hiers, L. Boring, G. Starr. 2019. The role of understory phenology and productivity in the carbon dynamics of longleaf pine savannas.  Ecosphere 10(4):e02675. https://doi.org/10.1002/ecs2.2675.
  31. Staudhammer, C.L., F.E. Escobedo, A. Blood*. 2018. Assessing statistical methods for comparing species diversity from disparate data sources: the case of urban and peri-urban forests. Ecosphere 9(10):e02450. https://doi.org/10.1002/ecs2.2450.
  32. Escobedo, F.J., N. Clerici, C.L. Staudhammer, A. Feged-Rivadeneira, J.C. Bohorquez, G. Tovar. 2018. Trees and Crime in Bogota, Colombia: Is the link an ecosystem disservice or service? Land Use Planning 78: 583-592. https://doi.org/10.1016/j.landusepol.2018.07.029.
  33. Bigelow, S.W., N. Jansen, S.B. Jack, R.J, Mitchell, C.L. Staudhammer. 2018. Influence of selection method on skidder-trail soil compaction in longleaf pine forest. Forest Science 64: 641-652. https://doi.org/10.1093/forsci/fxy023.
  34. Kleindl, W., P. Stoy, M. Binford, A. Desai, M. Dietze, C. Schultz, G. Starr, C.L. Staudhammer, D.J.A. Wood. 2018. Toward a Social-ecological theory of forest macrosystem ecology. Forests 9(4): 200. https://doi.org/10.3390/f9040200.
  35. Kainer, K.A., L.H.O. Wadt, and C.L. Staudhammer. 2018. The evolving role of Bertholletia excelsa in Amazonia: contributing to local livelihoods and forest conservation. Revista Desenvolvimento e Meio Ambiente 48 (Edição especial: 30 Anos do Legado de Chico Mendes): 477-497. http://dx.doi.org/10.5380/dma.v48i0.58972.
  36. Zhao, J., S.F. Oberbauer, P.C. Olivas, J.L. Schedlbauer, J.L. May, J.G. Moser, S. Malone, C.L. Staudhammer, G. Starr. 2018. Contrasting photosynthetic responses of two dominant macrophyte species to seasonal inundation in an Everglades freshwater prairie. Wetlands 38(5): 893-903. https://doi.org/10.1007/s13157-018-1038-1.
  37. Zhao, J., P. Olivas, S. Kunwor*, S. Malone, C.L. Staudhammer, G. Starr, S.F. Oberbauer. 2018. Comparison of sensible heat flux measured by large aperture scintillometer and eddy covariance in a seasonally-inundated wetland. Agriculture & Forest Meteorology 259: 345-354. https://doi.org/10.1016/j.agrformet.2018.05.026.
  38. Wiesner, S., H.W. Loescher, C.L. Staudhammer, A. Baron, L. Boring, R.J. Mitchell, G. Starr. 2018. Interactions among abiotic drivers, disturbance and net ecosystem exchange of carbon on the soil respiration of subtropical savannas. Ecosystems https://doi.org/10.1007/s10021-018-0246-0.
  39. Wadt, L.H.O., C. Faustino, C.L. Staudhammer, K.A. Kainer, J.S. Evangelista. 2018. Primary and secondary dispersal of Bertholletia excelsa: Implications for sustainable harvests. Forest Ecology and Management 415-416: 98-105. https://doi.org/10.1016/j.foreco.2018.02.014.
  40. Starr, G., J.R. Jarnigan, C.L. Staudhammer, J.A. Cherry. 2018. Variation in ecosystem carbon dynamics of saltwater marshes in the northern Gulf of Mexico. Wetland Ecology and Management 26: 581–596. https://doi.org/10.1007/s11273-018-9593-z.
  41. Bertwell, T.D., K.A. Kainer, W.P. Cropper, C.L. Staudhammer, L.H.O. Wadt. 2018. Are Brazil nut populations threatened by fruit harvest? Biotropica 50(1): 50–59. https://doi.org/10.1111/btp.12505.
  42. Roman, L., H. Pearsall, T. Eisenman, T. Conway, R. Fahey, S. Landry, J. Vogt, N. van Doorn, M. Grove, D. Locke, A. Bardekjian, J. Battles, Cadenasso, C. Konijnendijk van den Bosch, M. Avolio, M. A. Berland, D. Jenerette, S.K. Mincey, D.E. Pataki, C. L. Staudhammer. 2018. Human and biophysical legacies shape contemporary urban forests: A literature synthesis. Urban Forestry and Urban Greening 31: 157-168. https://doi.org/10.1016/j.ufug.2018.03.004.
  43. Wangdi, N., K. Om, C. Thinley, D. Drukpa, T. Dorji, A. Darabant, P.B. Chhetri, I.U. Ahmed, C.L. Staudhammer, R. Jandl, A. Schindlbacher, P. Hietz, K. Katzensteiner, D. Godbold, G. Gratzer. 2017. Climate Change in Remote Mountain Regions: A Throughfall-Exclusion Experiment to Simulate Monsoon Failure in the Himalayas. Mountain Research 37: 294-309. https://doi.org/10.1659/MRD-JOURNAL-D-16-00097.1.
  44. *Londres, M., M. Schulze, C.L. Staudhammer, K. Kainer. 2017. Population structure and fruit production of Andiroba (Carapa guianensis, Meliaceae) in Amazonian várzea floodplain forests: implications for community-based management. Tropical Conservation 10(1). https://doi.org/10.1177/1940082917718835.
  45. *Kunwor, S., G. Starr, H.W. Loescher, C.L. Staudhammer. 2017. Preserving the variance in imputed eddy-covariance measurements: Alternative methods for defensible gap filling. Agricultural and Forest Meteorology 232: 635–649. https://doi.org/10.1016/j.agrformet.2016.10.018.
  46. *Malone, S.L., J. Barr, J. Fuentes, S.F. Oberbauer, C.L. Staudhammer, E.E. Gaiser, G. Starr. 2016. Sensitivity to low temperature events: implications for CO2 dynamics in subtropical coastal ecosystems. Wetlands 36:957–967. https://doi.org/10.1007/s13157-016-0810-3.
  47. Darabant, A., T. Dorji, C.L. Staudhammer, P.B. Rai, G. Gratzer. 2016. Burning for enhanced non-timber forest product yield may jeopardize the resource base through interactive effects. Journal of Applied Ecology 53: 1613–1622. https://doi.org/10.1111/1365-2664.12746.
  48. *Blood, A., G. Starr, F. Escobedo, A. Chappelka, E. Wiseman, R. Sivakumar, C.L. Staudhammer. 2016. Resolving uncertainties in predicted crown relationships for urban trees of the Southeastern United States: local and general equations for widespread species. Urban Forestry and Urban Greening 20: 282 - 294. https://doi.org/10.1016/j.ufug.2016.09.009.
  49. Darabant, A, P.B. Rai, C.L. Staudhammer, T. Dorji. 2016. Designing and evaluating bamboo harvesting methods for local needs: integrating Local Ecological Knowledge and science. Environmental Management 58(2):312-22. https://doi.org/10.1007/s00267-016-0702-6.
  50. Kirkman, L.K., L.M. Giencke, R.S. Taylor, L.R. Boring, C.L Staudhammer, R.J. Mitchell. 2016. Productivity and species richness in a longleaf pine woodlands: resource and disturbance influence across edaphic gradient. Ecology 97: 2259–2271. https://doi.org/10.1002/ecy.1456.
  51. *Blood, A., G. Starr, F. Escobedo, A. Chappelka, C.L. Staudhammer. 2016. How do urban forests compare? A study of within urban versus peri-urban tree diversity in forests of the Southeastern US. Forests 7(6): 120. https://doi.org/10.3390/f7060120.
  52. Starr, G., C.L. Staudhammer, S. Wiesner, S. Kunwor*, H.W. Loescher, A. Baron-Lopes, A. Whelan, R. Mitchell, L. Boring. 2016. Carbon dynamics of Pinus palustris ecosystems following drought. Forests 7(5): 98. https://doi.org/10.3390/f7050098.
  53. Escobedo, F.J., N. Clerici, C.L. Staudhammer, G.T. Corzo. 2015. Socio-ecological dynamics and inequality in Bogotá, Colombia’s public urban forests and their ecosystem services. Urban Forestry & Urban Greening 14: 1040-1053. https://doi.org/10.1016/j.ufug.2015.09.011.
  54. Whelan, A., G. Starr, C.L. Staudhammer, H. Loescher, R. Mitchell. 2015. Effects of drought and prescribed fire on energy exchange in longleaf pine ecosystems. Ecosphere 6(7): 128. https://doi.org/10.1890/ES15-00111.1.
  55. Mortazavi, B. A.C. Ortmann, L. Wang, R. Bernard, C.L. Staudhammer, J.D. Dalrymple, R.H. Carmichael, A. Kleinhuizen. 2015. Evaluating the impact of oyster (Crassostrea virginica) gardening on sediment nitrogen cycling in a subtropical estuary. Bulletin of Marine Science 91(3). https://doi.org/10.5343/bms.2014.1060.
  56. *Becknell, J.M., A. Desai, M. Dietze, C. Schultz, G. Starr, J. Franklin, J. Hall, A. Pourmokhtarian, P. Stoy, P. Duffy, M. Binford, C.L. Staudhammer. 2015. Assessing interactions among changing climate, management, and disturbance in forests: A macrosystems approach. Bioscience 65 (3): 263–274. https://doi.org/10.1093/biosci/biu234 .
  57. Staudhammer, C.L., F.J. Escobedo, N. Holt, L.J. Young, T.J. Brandeis, W. Zipperer. 2015. Predictors, spatial distribution, and occurrence of woody invasive plants in subtropical urban ecosystems. Journal of Ecological Management 155: 97-105. https://doi.org/10.1016/j.jenvman.2015.03.012.
  58. *Malone, S.L., C. Keough, C.L. Staudhammer, M.G. Ryan, W.J. Parton, G. Starr. 2015. Ecosystem resistance in the face of climate change: A case study from the freshwater marshes of the Florida Everglades. Ecosphere 6(4): 57. https://doi.org/10.1890/ES14-00404.1.
  59. Starr, G., C.L. Staudhammer, H.W. Loescher, R. Mitchell, A. Whelan, J. McGee, J.K. Hiers, J.J. O’Brien. 2015. Time series analysis of forest carbon dynamics: Recovery of Pinus palustris following a prescribed fire. New Forests 46:63–90. https://doi.org/10.1007/s11056-014-9447-3.
  60. *Malone, S.L., C.L. Staudhammer, H.W. Loescher, P. Olivas, S.F. Oberbauer, M.G. Ryan, J. Schedlbauer, G. Starr. 2014. Seasonal patterns in energy partitioning of two freshwater marsh ecosystems in the Florida Everglades. JGR Biogeosciences. https://doi.org/10.1002/2014JG002700.
  61. *Timilsina, N., F.J. Escobedo, C.L. Staudhammer, T.J. Brandeis. 2014. Analyzing the causal factors of carbon stores in a subtropical urban forest. Ecological Complexity 20:23-32. https://doi.org/10.1016/j.ecocom.2014.07.001.
  62. *Timilsina, N., C.L. Staudhammer, F.J. Escobedo, A.B. Lawrence*. 2014. Tree biomass, wood waste yield, and carbon storage changes in an urban forest. Landscape and Urban Planning 127:18-27. https://doi.org/10.1016/j.landurbplan.2014.04.003.
  63. Kainer, K.A., L.H.O. Wadt, C.L. Staudhammer. 2014. Testing a silvicultural recommendation: Brazil nut responses 10 years after liana cutting. Journal of Applied Ecology 51(3): 655-663. https://doi.org/10.1111/1365-2664.12231.
  64. Rockwell, C., K. Kainer, C. Baraloto, C.L. Staudhammer. 2014. Logging in bamboo-dominated forests in southwestern Amazonia: Caveats and opportunities for smallholder forest management. Forest Ecology and Management 315: 202–210. https://doi.org/10.1016/j.foreco.2013.12.022 .
  65. Camp, E.V., C.L. Staudhammer, W.E. Pine III, J.C. Tetzlaff, T.K. Frazer. 2014. Replacement of rooted macrophytes by filamentous macroalgae: effects on small fishes and macroinvertebrates. Hydrobiologia 722:159–170. https://doi.org/10.1007/s10750-013-1694-3 .
  66. Zeidemann, V., K.A. Kainer, C.L. Staudhammer. 2014. Heterogeneity in NTFP quality, access and management shape benefit distribution in an Amazonian extractive reserve. Environmental Conservation 41(3): 424-252. https://doi.org/10.1017/S0376892913000489.
  67. *Malone, S.L., C.L. Staudhammer, S.F. Oberbauer, P. Olivas, M.G. Ryan, J. Schedlbauer, H.W. Loescher, G. Starr. 2014. El Niño Southern Oscillation (ENSO) enhances CO2 exchange rates in freshwater marsh ecosystems in the Florida Everglades. Plos ONE 9(12): e11505 https://doi.org/10.1371/journal.pone.0115058.
  68. Tucker-Lima, J.M., C.L. Staudhammer, T. Brandeis, W. Zipperer, F. Escobedo. 2013. Temporal dynamics of a subtropical urban forest in San Juan, Puerto Rico, 2001-2010. Landscape and Urban Planning 120: 96-106. https://doi.org/10.1016/j.landurbplan.2013.08.007.
  69. *Malone, S.L., G. Starr, C.L. Staudhammer, M.G. Ryan. 2013. Effects of simulated drought on the carbon balance of Everglades short-hydroperiod marsh. Global Change Biology https://doi.org/10.1111/gcb.12211.
  70. Staudhammer, C.L., L.H.O. Wadt, K.A. Kainer. 2013. Tradeoffs in diameter growth and reproduction shift over the lifetime of a long-lived tropical species. Oecologia 173(1): 45-57. https://doi.org/10.1007/s00442-013-2603-1.
  71. Whelan, A., R. Mitchell, C.L. Staudhammer, G. Starr. 2013. Cyclic occurrence of fire and its role in carbon dynamics along an edaphic moisture gradient in longleaf pine ecosystems. PLoS ONE 8(1): e54045. https://doi.org/10.1371/journal.pone.0054045.
  72. Genet, H., S.F. Oberbauer, S.J. Colby, C.L. Staudhammer, G. Starr. 2013. Growth responses of Sphagnum hollows to a season lengthening manipulation in Alaskan arctic tundra. Polar Biology 36(1):41-50. https://doi.org/10.1029/2009JG001254.
  73. *Timilsina, N. and C.L. Staudhammer. 2013. Individual tree-based diameter growth model of slash pine in Florida using non-linear mixed modeling. Forest Science 59(1): 27-37. https://doi.org/10.5849/forsci.10-028.
  74. Jimenez, K.L., G. Starr, J. L. Schedlbauer, C.L. Staudhammer, H. W. Loescher, S.F. Oberbauer. 2012. Carbon dioxide exchange rates from short- and long-hydroperiod everglades freshwater marsh. Journal of Geophysical Research 117, G04009. https://doi.org/10.1029/2012JG002117.
  75. *Timilsina, N. and C.L. Staudhammer. 2012. Individual tree mortality model for slash pine in Florida: a mixed modeling approach. Southern Journal of Applied Forestry 36(4): 211-219. https://doi.org/10.5849/sjaf.11-026.
  76. Klimas, C., K.A. Kainer, L.H. Wadt, C.L. Staudhammer, V. Rigamonte-Azevedo, Freire Correia, M.; L.M. da Silva Lima. 2012. Control of Carapa guianensis phenology and seed production: a 5-year study exploring the influences of tree attributes, habitat heterogeneity, and climate cues. Journal of Tropical Ecology 28:105-118. https://doi.org/10.1017/S0266467411000630.
  77. Tamang, B., M.G. Andreu, C.L. Staudhammer, D.L. Rockwood, S. Jose. 2012. Equations for estimating aboveground biomass of cadaghi (Corymbia torelliana) trees in farm windbreaks. Agroforestry Systems 86(2): 255-266. https://doi.org/10.1007/s10457-012-9490-z.
  78. *Lawrence, A.B., F.J. Escobedo, C.L. Staudhammer, W. Zipperer. 2012. Analyzing growth and mortality in a subtropical urban forest ecosystem. Landscape and Urban Planning 104:85-94. https://doi.org/10.1016/j.landurbplan.2011.10.004
  79. Tamang, B., M.G. Andreu, C.L. Staudhammer, D.L. Rockwood, S. Jose. 2011. Towards an empirical relationship between root length density and root number in windbreak-grown cadaghi (Corymbia torelliana) trees. Plant Root 5:40-45. https://doi.org/10.3117/plantroot.5.40.
  80. Soriano, M., K.A. Kainer, C.L. Staudhammer, E. Soriano. 2011. Implementing multiple forest management in Brazil nut-rich community forests: effects of logging on natural regeneration and forest disturbance. Forest Ecology and Management 268: 92-102. https://doi.org/10.1016/j.foreco.2011.05.010.
  81. *Malone, S.L, L.N. Kobziar, C.L. Staudhammer, A. Abd-elrahman. 2011. Modeling relationships among 217 fires using remote sensing of burn severity in southern pine forests. Remote Sensing 3: 2005-2028. https://doi.org/10.3390/rs3092005.
  82. *Thompson, B.K., F.J. Escobedo, C.L. Staudhammer, C.J. Matyas, Y. Qiu. 2011. Modeling hurricane-caused urban forest debris in Houston, Texas. Landscape and Urban Planning 101: 286–297. https://doi.org/10.1016/j.landurbplan.2011.02.034.
  83. Staudhammer, C.L., F.J. Escobedo, A.B. Lawrence*, M. Duryea, P. Smith, M. Merritt. 2011. Rapid assessment of change and hurricane impacts to Houston’s urban forest structure. Arboriculture & Urban Forestry 37(2):60-66. https://doi.org/10.48044/jauf.2011.009.
  84. Lee, H., E.A.G. Schuur, J.G. Vogel, M. Lavoie, D. Bhadra, C.L. Staudhammer. 2011. A Spatially explicit analysis to model carbon fluxes at a larger scale in upland tundra where permafrost is thawing. Global Change Biology 17(3): 1379-1393. https://doi.org/0.1111/j.1365-2486.2010.02287.x.
  85. Zhao, M., F.J. Escobedo, C.L. Staudhammer. 2010. Spatial patterns of a subtropical, coastal urban forest: Implications for land tenure, hurricanes, and invasives. Urban Forestry & Urban Greening 9(3): 205-214. https://doi.org/10.1016/j.ufug.2010.01.008.
  86. Johnson, S.A., M.E. McGarrity, C.L. Staudhammer. 2010. An effective chemical deterrent for invasive Cuban Treefrogs. Human-Wildlife Interactions 4(1):112-117. https://doi.org/10.26077/J18S-CQ05.
  87. Escobedo, F., C. Luley, J. Bond, C.L. Staudhammer, C. Bartel. 2009. Hurricane debris and damage assessment for Florida urban forests. Arboriculture & Urban Forestry 35(2): 100-106. https://doi.org/10.48044/jauf.2009.018. 
  88. Staudhammer, C.L., E.J. Jokela, T.A. Martin. 2009. Competition dynamics in pure- versus mixed-family stands of loblolly and slash pine in the southeastern United States. Canadian Journal of Forest Research 39(2): 396-409. https://doi.org/10.1139/X08-184.
  89. Staudhammer, C.L., F. Escobedo, C. Luley, J. Bond. 2009. Patterns of urban forest debris from the 2004 and 2005 hurricane seasons in Florida. Southern J. of Appl. Forestry 33(4): 193-196. https://doi.org/10.1093/sjaf/33.4.193.
  90. *Valle, D.R., C.L. Staudhammer, W. Cropper, P. Van Gardingen. 2009. The importance of multimodel projections to assess uncertainty in projections from simulation models. Ecological Applications 19(7): 1680-1692. https://doi.org/10.1890/08-1579.1.
  91. Cotta, J., K. Kainer, L.H.O.Wadt, C.L. Staudhammer. 2008. Shifting cultivation effects on Brazil nut (Bertholletia excelsa) regeneration. Forest Ecology and Management 256: 28-35. https://doi.org/10.1016/j.foreco.2008.03.026.
  92. Vasconcelos, S.S., D.J. Zarin, M.M. Araújo, L.G.T. Rangel-Vasconcelos, C.J.R. Carvalho, C.L. Staudhammer, F. de Assis Oliveira. 2008. Effects of seasonality, litter removal and dry-season irrigation on litterfall quantity and quality in eastern Amazonian forest regrowth, Brazil. Journal of Tropical Ecology 24:27-38. https://doi.org/10.1017/S0266467407004580.
  93. Wadt, L.H.O., K.A. Kainer, C.L. Staudhammer, R.O. Peréa Serrano. 2008. Sustainable forest use in Brazilian extractive reserves: natural regeneration of Brazil nut in exploited populations. Biological Conservation 141: 332-346. https://doi.org/10.1016/j.biocon.2007.10.007.
  94. Kainer, K.A., L.H.O. Wadt, C.L. Staudhammer. 2007. Explaining variation in Brazil nut fruit production. Forest Ecology and Management 250(3):244-255. https://doi.org/10.1016/j.foreco.2007.05.024.  
  95. *Valle, D.R., C.L. Staudhammer, W. Cropper. 2007. Simulating multiple use forest management: How to integrate the simulation of Non-Timber Forest Product extraction to the simulation of timber extraction in tropical mixed forests? Journal of Forestry 105(6): 301-306. https://doi.org/10.1093/jof/105.6.301.
  96. Rockwell, C.A., K.A. Kainer, C.L. Staudhammer, C. Baraloto. 2007. Future crop tree damage in a certified community forest in southwestern Amazonia. Forest Ecology & Management 242 (2):108-118. https://doi.org/10.1016/j.foreco.2006.12.028.
  97. Staudhammer, C.L., T.C. Maness, R.A. Kozak. 2007. Profile charts for monitoring lumber manufacturing using laser range sensor data. Journal of Quality Technology 39(3): 224-240. https://doi.org/10.1080/00224065.2007.11917690.
  98. Staudhammer, C.L., R.A. Kozak, T.C. Maness. 2006. SPC methods for detecting simple sawing defects using real-time laser range sensor data. Wood and Fiber Science 38(4): 396-416.
  99. Staudhammer, C.L., V.M. LeMay, R.A. Kozak, T.C. Maness. 2005. Mixed-model development for real-time statistical process control data in wood products manufacturing. Forestry, Biometry, Management and Information Sciences 1: 19-35.
  100. Maness, T.C., R.A. Kozak, C.L. Staudhammer. 2004. Reliability testing of statistical process control procedures for manufacturing with multiple sources of variation. Wood and Fiber Science 36(3):443-458.
  101. Maness, T.C., R.A. Kozak, C.L. Staudhammer. 2003. Applying real-time statistical process control to manufacturing processes exhibiting between and within part size variability. Quality Engineering 16(1): 113-125. https://doi.org/10.1081/QEN-120020778.
  102. Maness, T.C., C.L. Staudhammer, R.A. Kozak. 2002. Statistical considerations for real-time size control systems in wood products manufacturing. Wood and Fiber Science 34(3):476-484.
  103. Staudhammer, C.L. and V.M. LeMay. 2001. Introduction and evaluation of possible indices of stand structural diversity. Canadian Journal of Forest Research 31(7): 1105-1115.  https://doi.org/10.1139/cjfr-31-7-1105.
  104. Staudhammer, C.L. and V.M. LeMay. 2000. Height prediction equations using diameter and stand density measures for species in coastal B.C. Forestry Chronicle 76(2): 303-309. https://doi.org/10.5558/tfc76303-2.