Current Research

Ecology and silviculture of oaks.

Research Interests

Silviculture of mixed oak stands

Vegetation classification

Wildlife habitat modeling

Remote sensing and geospatial analysis

Past Research

Prasad, A.M., J. Pedlar, M.P. Peters, D. McKenney, L.R. Iverson, S. Matthews, and B.T. Adams 2020. Combining US and Canadian forest inventories to assess habitat suitability and migration potential of 25 tree species under climate change. Diversity and Distributions 26:1142–1159. https://doi.org/10.1111/ddi.13078

Adams, B.T., L.R. Iverson, S.N. Matthews, M.P. Peters, A.M. Prasad, and D.M. Hix. 2020 Mapping forest composition with Landsat time series: an evaluation of seasonal composites and harmonic regression. Remote Sensing 12:610. https://doi.org/10.3390/rs12040610

Iverson, L.R., J.L. Bartig, G.J. Nowacki, M.P Peters, J.M. Dyer, T.F. Hutchinson, S.N. Matthews, B.T. Adams. 2019. USDA Forest Service section, subsection, and landtype descriptions for southeastern Ohio. Research Map NRS-10. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 68 p. [Printed map included]. https://doi.org/10.2737/NRS-RMAP-10

Adams, B.T., and S.N. Matthews. 2019. Diverse temperate forest bird assemblages demonstrate closer correspondence to plant species composition than vegetation structure. Ecography 42:1752:1764. https://doi.org/10.1111/ecog.04487

Adams, B.T., S.N. Matthews, M.P. Peters, A.M. Prasad, and L.R. Iverson. 2019. Mapping floristic gradients of forest composition using an ordination-regression approach with Landsat OLI and terrain data in the Central Hardwoods region. Forest Ecology and Management 434:87–98. https://doi.org/10.1016/j.foreco.2018.12.018

Adams, B.T., and S.N. Matthews. 2018. Enhancing forest and shrubland mapping in a managed forest landscape with Landsat-LiDAR data fusion. Natural Areas Journal 38:402–418. https://doi.org/10.3375/043.038.0509

Why This Research is Important

Oaks are foundational species in eastern hardwood forests and support numerous ecosystem services. However, shifting disturbance regimes and multiple environmental and ecological stressors challenge their continued dominance. My research addresses these challenges.

Education

• The Ohio State University, Ph.D Environment and Natural Resources 2018
• Bowling Green State University, M.S. Biology (Conservation Biology) 2014
• The Ohio State University, B.S. Wildlife Science (major), Evolution and Ecology (minor) 2010

Professional Experience

Featured Publications & Products

• Adams, Bryce ; Iverson, Louis ; Matthews, Stephen ; Peters, Matthew ; Prasad, Anantha ; Hix, David M. 2020. Mapping Forest Composition with Landsat Time Series: An Evaluation of Seasonal Composites and Harmonic Regression.
• Prasad, Anantha ; Pedlar, John ; Peters, Matt ; McKenney, Dan ; Iverson, Louis ; Matthews, Steve ; Adams, Bryce . 2020. Combining US and Canadian forest inventories to assess habitat suitability and migration potential of 25 tree species under climate change.
• Iverson, Louis R.; Bartig, Jarel L.; Nowacki, Gregory J.; Peters, Matthew P.; Dyer, James M.; Hutchinson, Todd F.; Matthews, Stephen N.; Adams, Bryce T. 2019. USDA Forest Service section, subsection, and landtype descriptions for southeastern Ohio.

Citations of non US Forest Service Publications

• Adams, B.T., and S.N. Matthews. 2018. Enhancing forest and shrubland mapping in a managed forest landscape with Landsat-LiDAR data fusion. Natural Areas Journal 38:402–418. https://doi.org/10.3375/043.038.0509
• Adams, B.T., N. Matthews, M.P. Peters, A.M. Prasad, and L.R. Iverson. 2019. Mapping floristic gradients of forest composition using an ordination-regression approach with Landsat OLI and terrain data in the Central Hardwoods region. Forest Ecology and Management 434:87–98. https://doi.org/10.1016/j.foreco.2018.12.018
• Adams, B.T., and S.N. Matthews. 2019. Diverse temperate forest bird assemblages demonstrate closer correspondence to plant species composition than vegetation structure. Ecography 42:1752:1764. https://doi.org/10.1111/ecog.04487