Scott D. Peckham

Post Doctoral Research Associate
Department of Botany
University of Wyoming, Laramie, WY USA
Email: speckham@uwyo.edu

EDUCATION

Ph.D. in Forestry, University of Wisconsin-Madison (2009-2011)
M.S. in Environmental Monitoring, University of Wisconsin-Madison (2003-2005)
B.S. in Electrical and Computer Engineering, University of Wisconsin-Madison (1997-2001)

CURRENT RESEARCH INTERESTS

Ecosystem model development and simulating of carbon, nitrogen, and water fluxes using multiple observational data sets. Model comparison using Bayesian frameworks. Modeling disturbance effects on biogeochemical cycling in forest ecosystems.

PROFESSIONAL EXPERIENCE

Post Doctoral Research Associate (4/2012-present), University of Wyoming, Laramie, WY. Research Assistant (6/2011-12/2011), University of Wisconsin, Madison, WI.
Senior Research Specialist (2005-2011), University of Wisconsin, Madison, WI.
Graduate Graduate Project Assistant (2003-2005), University of Wisconsin, Madison, WI.
Teaching Assistant (2004), University of Wisconsin, Madison, WI.

PUBLICATIONS IN REFEREED JOURNAL

(1) Peckham, Gower, Perry, Stueve, and Wilson (2013). Modeling harvest and biomass removal effects on the forest carbon balance of the Midwest, USA. Environmental Science and Policy, 25, 22-35.

(2) Wang, Mladenoff, Forrester, Blanco, Sheller, Peckham and Keough (2013). Multi-model simulations of forest harvesting effects on long-term productivity and C/N cycling in aspen forests. Ecological Applications, doi:10.1890/12-088.1.

(3) Peckham and Gower (2012). Simulating the effects of harvest and biofuel production on the forest system carbon balance of the Midwest, USA. Global Change Biology Bioenergy, doi:10.1111/gcbb.12033.

(4) Peckham, Gower, and Buongiorno (2012). Estimating the whole-system forest carbon budget and maximizing future carbon uptake. Carbon balance and Management, 7:6.

(5) Wolter, Berkley, Peckham, Singh, and Townsend (2012). Exploiting tree shadows on snow for estimating forest basal area using Landsat data. Remote Sensing of Environment, 121, 69-79.

(6) Peckham and Gower (2011). Simulated long-term effects of harvest and biomass residue removal on soil carbon and nitrogen content and productivity for two Upper Great Lakes forest ecosystems. Global Change Biology Bioenergy, 3 (2), 135-147.

(7) Peckham, Ahl, and Gower (2009). Bryophyte cover estimation in a boreal black spruce forest using airborne lidar and multispectral sensors. Remote Sensing of Environment, 113, 1127-1132.

(8) Bond-Lamberty, Peckham, Gower, and Ewers (2009). Effects of fire on regional evapotranspiration in the central Canadian boreal forest. Global Change Biology, 15, 1242-1254.

(9) Peckham, Ahl, Serbin, and Gower (2008). Fire-induced changes in start of growing season and leaf maturity in the Canadian boreal forest, Remote Sensing of Environment, 112, 3594-3603.

(10) Bond-Lamberty, Peckham, Ahl, and Gower (2007). Fire as the dominant driver of central Canadian boreal forest carbon balance, Nature, 450, 89-92.

(11) Peckham, Chipman, Lillesand, and Dodson (2006). Alternate stable states and the shape of the lake trophic distribution, Hydrobiologia 571 (1): 401-407.

(12) Peckham and Lillesand (2006). Detection of spatial and temporal trends in Wisconsin lake water clarity using satellite-derived estimates of Secchi depth, Lake and Reservoir Management, 22 (4): 331-341.

Berkley, Peckham, Sampath, Bodewes, Ntambi, and Van Deelen (2013). Comparison of fat tissue from wolf prey species and its influence on sled dog’s fatty acid composition: implications for estimating wolf diet using fatty acid analysis. Wildlife Society Bulletin. (In press).

Wolter, Berkley, Peckham, and Singh (2013). Using Landsat sensor data as a management tool for oak woodland and savanna ecosystem restoration. Journal of Fish and Wildlife Management, (In press).

Nunes, Gower, Peckham, Magalhaes, Lopes, and Rego (2013). Estimation of productivity in pine and oak forests in northern Portugal using Biome-BGC. Forest Ecology and Management (Submitted).

MacFarland, Van Deelen, Peckham, Garshelis, Etter, and Noyce (2013). Using occupancy estimation to model biogeographic patterns: a case study of American black bear (Ursus americanus) in the Northern Great Lakes Region of the United States. Canadian Journal of Zoology (in preparation).

Peckham, Ewers, Mackay, Frank, Massman, Ryan, Scott, and Pendall. Bayesian analysis of a carbon cycle model: Implications for parameter estimation and model selection. Global Change Biology, (In preparation).

PROFESSIONAL AFFILIATIONS

Journal peer reviewer: Remote Sensing of Environment, Ecosphere, JGR-Biogeosciences, Carbon Management, International Journal of Wildland Fire
Member: AGU, ESA