Publications

  • Rasmussen, S. GC, McHale, M., Tinkham, W.T. 2021. Fort Collins Urban Tree Canopy: What can a mid-sized, semi-arid city tell us about human-made forests? Urban Ecosystems, accepted.
  • Tinkham, W.T., Battaglia, M.A., and Hoffman, C.M. 2021. Evaluating long-term seedling growth across densities using Nelder plots and FVS in the Black Hills, South Dakota, USA. Forest Science, fxab009, doi: 10.1093/forsci/fxab009.
  • Swayze, N.P. GA, Tinkham, W.T., Vogeler, J.C., and Hudak, A.T. 2021. Influence of Flight Parameters on UAS-Based Monitoring of Tree Height, Diameter, and Density. Remote Sensing of Environment, 263, 112540, doi: 10.1016/j.rse.2021.112540.
  • Tinkham, W.T. and Swayze, N.P. GA 2021. Influence of Agisoft Metashape Parameters on Individual Tree Detection Using Structure from Motion Canopy Height Models. Forests, 12(2), 250, doi: 10.3390/f12020250.
  • Creasy, M.B. GA, Tinkham, W.T., Hoffman, C.M., and Vogeler, J.C. 2021. Potential for individual tree monitoring in ponderosa pine-dominated forests using unmanned aerial system structure from motion point clouds. Canadian Journal of Forest Research, 51, doi: 10.1139/cjfr-2020-0433.

GA – Graduate Adviser; GC – Graduate Committee

  • Hudak, A.T., Fekety, P.A., Kane, V.R., Kennedy, R.E., Filippelli, S.K., Falkowski, M.J., Tinkham, W.T., Smith, A.M.S., Crookston, N.L., Domke, G.M., Corrao, M.V., Bright, B.C., Churchill, D.J., Gould, P.J., McGaughey, R.J., Kane, J.T., and Dong, J. 2020. A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA. Environmental Research Letters, 15(9), 095003, doi: 10.1088/1748-9326/ab93f9.
  • Lelande, B.M.GC, Houghs, K., Jacobi, W.R., Tinkham, W.T., Reich, R., and Stewart, J.E. 2020. Subalpine fir mortality in Colorado is associated with stand density, warming climates and an interaction among fungal diseases and the western balsam bark beetle. Forest Ecology and Management, 466, 118133, doi: 10.1016/j.foreco.2020.118133.
  • Cannon, J.B., Tinkham, W.T., DeAngelis, R.K., Hill, E.M., and Battaglia, M.A. 2019. Variability in mixed conifer spatial structure changes understory light environments. Forests, 10(11), 1015, doi: 10.3390/f10111015.
  • Ex, S.A., Ziegler, J.P., Tinkham, W.T., and Hoffman, C.M. 2019. Long-term impacts of fuel treatment placement with respect to forest cover type on potential fire behavior across a mountainous landscape. Forests, 10(5), 438, doi: 10.3390/f10050438.
  • Tinkham, W.T., Mahoney, P.R., Smith, A.M.S., Hudak, A.T., Domke, G.M., Falkowski, M.J., Nelson, A., and Woodall, C.W. 2018. Applications of the United States Forest Service Forest Inventory and Analysis dataset: a review and future directions. Canadian Journal of Forest Research, 48, 1251-1268, doi: 10.1139/cjfr-2018-0196.
  • Wojcik, V., Smith, L., Carromero, W., Adams, D.L., Davis, S., DeBano, S.J., Fallon, C. Hatfield, R., Black, S.H., Kaye, T., Jepsen, S., McKnight, S., Morandin, L., Pelton, E., Rhoades, P., Rourke, K., Rowland, M., and Tinkham, W.T. 2018. New Research and BMPs in Natural Areas: A synthesis of pollinator management symposium from the 44th Natural Areas Conference, October 2017. Natural Areas Journal, 38, 5, 334-346, doi: 10.3375/043.038.0503.
  • Rhoades, P.R., Davis, T.S., Tinkham, W.T., and Hoffman, C.M. 2018. Effects of seasonality, forest structure and understory plant richness on bee community assemblage in a southern Rocky Mountain mixed conifer forest. Annals of the Entomological Society of America, 111, 5, 287-294, doi: 10.1093/aese/say021.
  • Tinkham, W.T., Dickinson, Y., Hoffman, C.M., Battaglia, M.A., Ex, S., and Underhill, J. 2017. Visualization of heterogeneous forest structures following treatments in the southern Rocky Mountains. USDA Forest Service General Technical Report, RMRS-GTR-365, Fort Collins, CO. p. 72.
  • Hyde, J.C., Yedinak, K.M., Talhelm, A.F., Smith, A.M.S., Bowman, D.M.J.S, Johnston, F.H., Lahm, P., Fitch, M., and Tinkham, W.T. 2017. Air quality policy and fire management responses addressing smoke from wildland fires in the United States and Australia. International Journal of Wildland Fire, 26, 5, 347-363, doi: 10.1071/WF16154.
  • Tinkham, W.T., Hoffman, C.M., Ex, S.A., Battaglia, M., and Smith, A.M.S. 2017. Sensitivity of crown fire modeling to inventory parameter dubbing in FVS. In proceedings of 2017 Forest Vegetation Simulator (FVS) e-Conference, USDA Forest Service e-General Technical Report, SRS-eGTR-224. Asheville, NC. p. 114-123.
  • Tinkham, W.T., Nagel, L., and Roske, M. 2017. Assessment of user needs during the modernization of the Forest Vegetation Simulator. In proceedings of 2017 Forest Vegetation Simulator (FVS) e-Conference, e-Gen. Tech. Rep. SRS-224. Asheville, NC. p. 1-2.
  • Smith, A.M.S., Talhelm, A.F., Johnson, D.M., Kolden, C.A., Abatzoglou, J.T., Sparks, A.M., Yedinak, K.M., Lutz, J.A., Tinkham, W.T., Apostol, K.G., Adams, H., and Pregitzer, K.S. 2017. Effects of fire radiative energy density dose on Pinus contorta and Larix occidentalis seedling physiology and mortality. International Journal of Wildland Fire, 26, 1, 82-94, doi: 10.1070/WF16077.
  • Vakili, E., Hoffman, C.M., Keane, R.E., Tinkham, W.T., and Dickinson, Y. 2016. Spatial variability of surface fuels in treated and untreated ponderosa pine forests of the southern Rocky Mountains. International Journal of Wildland Fire, 25, 11, 1156-1168, doi: 10.1071/WF16072.
  • Caggiano, M., Tinkham, W.T., Hoffman, C.M., Hawbaker, T., and Cheng, T. 2016. High resolution mapping of development in the Wildland-Urban Interface using object based image extraction. Heliyon, 2, 10, e00174, doi: 10.1016/j.heliyon.2016.e00174.
  • Tinkham, W.T., Smith, A.M.S., Affleck, D., Saralecos, J.D., Falkowski, M.J., Hoffman, C.M., Hudak, A.T., and Wulder, M.A. 2016. Development of height-volume relationships in second growth Abies grandis for use with aerial LiDAR. Canadian Journal of Remote Sensing, 42, 5, 400-410, doi: 10.1080/07038992.2016.1232587.
  • Tinkham, W.T., Hoffman, C.M., Ex, S.A., Battaglia, M.A., and Saralecos, J.D. 2016. Ponderosa pine forest restoration treatment longevity: implications of regeneration on fire hazard. Forests, 7, 137, pp 19, doi: 10.3390/f7070137.
  • Grayson, L.M., Keefe, R.F., Tinkham, W.T., Eitel, J.U.H., Saralecos, J.D., Smith, A.M.S., and Zimbelman E.G. 2016. Accuracy of WAAS-enabled GPS-RF warning signals when crossing a terrestrial geofence. Sensors, 16, 912, doi: 10.3390/s16060912.
  • Tinkham, W.T., Smith, A.M.S., Higuera, P.E., Hatten, J.A., Brewer, N.W., and Doerr, S.H. 2016. Replacing time with space: Using laboratory fires to explore the effects of repeated burning on black carbon degradation. International Journal of Wildland Fire, 25, 2, 242-248, doi: 10.1071/WF15131.
  • Smith, A.M.S., Sparks, A.M., Kolden, C.A., Abatzoglou, J.T, Talhelm, A.F., Johnson, D.M., Boschetti, L., Lutz, J.A., Apostol, K.G., Yedinak, K.M., Tinkham, W.T., and Kremens, R.L. 2016. Towards a new paradigm in fire severity research using dose-response experiments. International Journal of Wildland Fire, 25, 158-166, doi: 10.1071/WF15130.
  • Tinkham, W.T., Hoffman, C.M., Canfield, J.M., Vakili, E., and Reich, R.M. 2016. Using the photoload technique with double sampling to improve surface fuel loading estimates. International Journal of Wildland Fire, 25, 2, 224-228, doi: 10.1071/WF15027.
  • Blades, J.J., Klos, Z.P., Kemp, K.B., Hall, T.E., Force, J., Morgan, P., and Tinkham, W.T. 2016. Forest managers’ response to climate change science: evaluating the constructs of boundary objects and organizations. Forest Ecology and Management, 360, 376-387, doi: 10.1016/j.foreco.2015.07.020.
  • Tinkham, W.T., Denner, R., and Graham, R.T. 2015. Climate, Snowpack, and Streamflow of Priest River Experimental Forest, Revisited. USDA Forest Service General Technical Report, RMRS-GTR-331, Fort Collins, CO U.S.
  • Saralecos, J.D., Keefe, R.F., Tinkham, W.T., Brooks, R.H., and Johnson, L.R. 2015. Operational influences affecting sawlog weight and volume relationships in the intermountain west. Forest Products Journal, 65, 5-6, 198-208, doi: 10.13073/FPJ-D-14-00087.
  • Kemp, K.B., Blades, J.J., Klos, Z.P., Hall, T.E., Force, J., Morgan, P., and Tinkham, W.T. 2015. Managing for climate change on federal lands of the western United States: perceived usefulness of climate science, effectiveness of adaptation strategies, and barriers to implementation. Ecology & Society, 20, 2, 17, doi: 10.5751/ES-07522-200217.
  • Sparks, A.M., Boschetti, L., Tinkham, W.T., Smith, A.M.S., Lannom, K.O., and Newingham, B.A. 2015. An accuracy assessment of the MTBS burned area product for shrub-steppe fires in the northern Great Basin, United States. International Journal of Wildland Fire, 24, 70-78, doi: 10.1071/WF14131.
  • Keefe, R.F., Eitel, J.U.H., Smith, A.M.S., and Tinkham W.T. 2014. Applications of multi transmitter GPS-VHF in forest engineering. Proceedings, 47th International Symposium on Forestry Mechanization and 5th International Forest Engineering Conference, Gerardmer, France.
  • Smith, A.M.S., Falkowski, M.J., Greenberg, J.A., and Tinkham, W.T. 2014. Remote Sensing of Vegetation Structure, Function, and Condition: Special issue. Remote Sensing of Environment, 154, 319-321, doi: 10.1016/j.rse.2014.05.002.
  • Smith, A.M.S., Kolden, C.A., Tinkham, W.T., Talhelm, A., Marshall, J.D., Hudak, A.T., Boschetti, L., Falkowski, M.J., Greenberg, J.A., Anderson, J.W., Kliskey, A.D., Alessa, L., Keefe, R.F., and Gosz, J.R. 2014. Remote sensing the vulnerability of vegetation in natural terrestrial ecosystems. Remote Sensing of Environment, 154, 322-337, doi: 10.1016/j.rse.2014.03.038.
  • Saralecos, J.D., Keefe, R.F., Tinkham, W.T., Brooks, R.H., Smith, A.M.S., and Johnson, L.R. 2014. Effects of harvesting systems and bole moisture loss on weight scaling of Douglas-fir sawlogs (Pseudotsuga menziesii var. glauca Franco). Forests, 5, 9, 2289-2306, doi: 10.3390/f5092289.
  • Lannom, K.O., Tinkham, W.T., Smith, A.M.S., Abatzoglou, J., Newingham, B.A., Hall, T.E., Morgan, P., Strand, E.K., Paveglio, T.B., Anderson, J.W., and Sparks, A.M. 2014. Defining extreme wildland fires using geospatial data. International Journal of Wildland Fire, 23, 322-337, doi: 10.1071/WF13065.
  • Tinkham, W.T., Smith, A.M.S., Link T.E., Marshall, H.P., Falkowski, M.J., and Winstral, A. 2014. Quantifying spatial distribution of snow depth errors from LiDAR using Random Forests. Remote Sensing of Environment, 141, 105-115, doi: 10.1016/j.rse.2013.10.021.
  • Smith, A.M.S., Tinkham, W.T., Roy, D.P., Boschetti, L., Kremens, R.L., Kumar, S.S., Sparks, A.M., and Falkowski, M.J. 2013. Quantification of fuel moisture effects on biomass consumed derived from fire radiative energy retrievals. Geophysical Research Letters, 40, 6293-6302, doi: 10.1002/2013GL058232.
  • Heward, H., Smith, A.M.S., Roy, D.P., Tinkham, W.T., Hoffman, C.M., Morgan, P., and Lannom, K.O. 2013. Is fire severity related to fire intensity? Observations from landscape scale remote sensing. International Journal of Wildland Fire, 22, 7, 910-918, doi: 10.1071/WF12087.
  • Tinkham, W.T., Hoffman, C.M., Falkowski, M.J., Smith, A.M.S., Link T.E., and Marshall, H.P. 2013. A methodology to spatially characterize vertical accuracies in LiDAR-derived products. Photogrammetric Engineering and Remote Sensing, 79, 8, 709-716, doi: 10.14358/PER.79.8.709.
  • Brewer, N.W., Smith, A.M.S., Hatten, J.A., Higuera, P.E., Hudak, A.T., Ottmar, R.D., and Tinkham, W.T. 2013. Fuel moisture influence on Fire-altered carbon in masticated fuels: An experimental study. Journal of Geophysical Research – Biogeosciences, 119, 1-11, doi: 10.1029/2012JG002079.
  • Tinkham, W.T., Smith, A.M.S., Hoffman, C.M., Hudak, A.T., Falkowski, M.J., Swanson, M.E., and Gessler, P.E. 2012. Investigating the influence of LiDAR ground surface errors on the utility of derived forest inventories. Canadian Journal of Forest Research, 42, 413-422, doi: 10.1139/X11-193.
  • Tinkham, W.T., Huang, H., Smith, A.M.S., Shrestha, R., Falkowski, M.J., Hudak, A.T., Link T.E., Glenn, N.F., and Marks, D.G. 2011. A comparison of two open source LiDAR surface classification algorithms. Remote Sensing, 3, 638-649, doi: 10.3390/rs3030638.