Wade Tinkham

Fort Collins, CO 80526-2098
United States
- Developing individual tree fire severity assessment methods using UAS.
- Assessing the process and pattern of tree regeneration in high severity fire patches through satellite remote sensing.
- Evaluating the potential of different lodgepole pine seed sources to perform under projected climates in Colorado.
- Testing and improving forest growth and yield models for characterizing tree and stand dynamics.
Forest managers are increasingly trying to include spatially explicit objectives, such as wildlife habitat improvement, in management plans. To do this, managers require forest inventory data at improved spatial extents than traditional forest inventories can provide. Hybridizing UAS and field observations seems to provide both a resolution and extent of observations capable of providing traditional inventory metrics, but also the spatial tree pattern information for contemporary management planning.
- University of Idaho, Ph.D., Natural Resources; Biometrics/Remote Sensing, 2013
- University of Idaho, M.S., Forest Science, 2010
- Washington State University, B.S., Forest Management, 2008
- Research Forester, Rocky Mountain Research Station, Forest Service, U.S. Department of Agriculture, 2022 - Current
- Assistant Professor of Forest Biometrics, Department of Forest and Rangeland Stewardship, Colorado State University, 2016 - 2022
- Postdoctoral Fellow, Department of Forest and Rangeland Stewardship, Colorado State University, 2013 - 2016
- Graduate Reseach and Teaching Assistant, University of Idaho, 2008 - 2013
- Neal C. Swayze, Wade T. Tinkham, Matthew B. Creasy, Jody C. Vogeler, Chad M. Hoffman, Andrew T. Hudak. 2022. Influence of UAS flight altitude and speed on aboveground biomass prediction
- Neal C. Swayze, Wade T. Tinkham, Jody C. Vogeler, Andrew T. Hudak. 2021. Influence of flight parameters on UAS-based monitoring of tree height, diameter, and density
- Sophie R. Bonner, Chad M. Hoffman, Jeffrey M. Kane, J. Morgan Varner, J. Kevin Hiers, Joseph J. O'Brien, Heather D. Rickard, Wade T. Tinkham, Rodman R. Linn, Nicholas Skowronski, Russell A. Parsons, Carolyn H. Sieg. 2021. Invigorating prescribed fire science through improved reporting practices
- Wade T. Tinkham, Mike A. Battaglia, Chad M. Hoffman. 2021. Evaluating long-term seedling growth across densities using Nelder plots and the Forest Vegetation Simulator (FVS) in the Black Hills, South Dakota, USA
- Jeffery B. Cannon, Wade T. Tinkham, Ryan K. DeAngelis, Edward M. Hill, Mike A. Battaglia. 2019. Variability in mixed conifer spatial structure changes understory light environments
- Wade T. Tinkham, Patrick R. Mahoney, Andrew T. Hudak, Grant M. Domke, Mike J. Falkowski, Chris W. Woodall, Alistair M. S. Smith. 2018. Applications of the United States Forest Inventory and Analysis dataset: A review and future directions
- W. T. Tinkham, M. A. Battaglia, C. M. Hoffman. 2022. Evaluating long-term ponderosa pine seedling growth across densities using Nelder plots and FVS in the Black Hills, South Dakota, USA
- Andrew T. Hudak, Patrick A. Fekety, Van R. Kane, Robert E. Kennedy, Steven K. Filippelli, Michael J. Falkowski, Wade T. Tinkham, Alistair M. S. Smith, Nicholas L. Crookston, Grant M. Domke, Mark V Corrao, Benjamin C. Bright, Derek J. Churchill, Peter J. Gould, Robert J. McGaughey, Jonathan T. Kane, Jinwei Dong. 2020. A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA
- Wade T. Tinkham, Yvette Dickinson, Chad M. Hoffman, Mike A. Battaglia, Seth Ex, Jeffrey Underhill. 2017. Visualization of heterogeneous forest structures following treatment in the southern Rocky Mountains
- Wade T. Tinkham, Chad M. Hoffman, Seth A. Ex, Michael A. Battaglia, Jarred D. Saralecos. 2016. Ponderosa pine forest restoration treatment longevity: Implications of regeneration on fire hazard
- Wade T. Tinkham, Alistair M. S. Smith, David L. R. Affleck, Jarred D. Saralecos, Michael J. Falkowski, Chad M. Hoffman, Andrew T. Hudak, Michael A. Wulder. 2016. Development of height-volume relationships in second growth Abies grandis for use with aerial LiDAR
- Emma Vakili, Chad M. Hoffman, Robert E. Keane, Wade T. Tinkham, Yvette Dickinson. 2016. Spatial variability of surface fuels in treated and untreated ponderosa pine forests of the southern Rocky Mountains
- Wade T. Tinkham, Robert Denner, Russell T. Graham. 2015. Climate, snowpack, and streamflow of Priest River Experimental Forest, revisited
- Alistair M. S. Smith, Crystal A. Kolden, Wade T. Tinkham, Alan F. Talhelm, John D. Marshall, Andrew T. Hudak, Luigi Boschetti, Michael J. Falkowski, Jonathan A. Greenberg, John W. Anderson, Andrew Kliskey, Lilian Alessa, Robert F. Keefe, James R. Gosz. 2014. Remote sensing the vulnerability of vegetation in natural terrestrial ecosystems
- Nolan W. Brewer, Alistair M.S. Smith, Jeffery A. Hatten, Philip E. Higuera, Andrew T. Hudak, Roger D. Ottmar, Wade T. Tinkham. 2013. Fuel moisture influences on fire-altered carbon in masticated fuels: An experimental study
- Wade T. Tinkham, Alistair M. S. Smith, Chad Hoffman, Andrew T. Hudak, Michael J. Falkowski, Mark E. Swanson, Paul E. Gessler. 2012. Investigating the influence of LiDAR ground surface errors on the utility of derived forest inventories
- Wade T. Tinkham, Hongyu Huang, Alistair M.S. Smith, Rupesh Shrestha, Michael J. Falkowski, Andrew T. Hudak, Timothy E. Link, Nancy F. Glenn, Danny G. Marks. 2011. A comparison of two open source LiDAR surface classification algorithms