Phenotypes and environment predict seedling survival for seven co-occurring Great Basin plant taxa growing with invasive grass

Agneray, A.C.; Parchman, T.L.; Leger, E.A. 2022. Phenotypes and environment predict seedling survival for seven co-occurring Great Basin plant taxa growing with invasive grass. Ecology and Evolution. 12(5): e8870.

Great Basin Native Plant Project Report 2018-2021

Kilkenny, F.F. 2022. Great Basin Native Plant Project Report 2018-2021. Boise, ID: U.S. Department of Agriculture, Rocky Mountain Research Station. 65 p.

Using climate-driven adaptive evolution to guide seed sourcing for restoration in a diverse North American herb-shrub species

Johnson, R.C.; Love, S.L.; Carver, D.; Irish, B.M. 2022. Using climate-driven adaptive evolution to guide seed sourcing for restoration in a diverse North American herb-shrub species. Restoration Ecology. 31(4): e13856.

Influence of seeding treatments on vegetation succession following wildfire

Kilkenny, F.F.; Ott, J. 2022. Influence of seeding treatments on vegetation succession following wildfire. Research Highlights. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. Online: https://www.fs.usda.gov/research/rmrs/news/highlights/influence-seeding-treatments-vegetation-succession-following-wildfire

How predictable are evolutionary responses to environment? Comparing trait-environment relationships among three species of Asteraceae forbs in the Great Basin

Bartz, T.A. 2022. How predictable are evolutionary responses to environment? Comparing trait-environment relationships among three species of Asteraceae forbs in the Great Basin. Reno, NV: University of Nevada, Reno. Thesis. 80 p.

Spatial models can improve the experimental design of field-based transplant gardens by preventing bias due to neighborhood crowding

Zaiats, A.; Requena-Mullor, J.M.; Germino, M.J.; Forbey, J.S.; Richardson, B.A.; Caughlin, T.T. 2022. Spatial models can improve the experimental design of field-based transplant gardens by preventing bias due to neighborhood crowding. Ecology and Evolution. 12(12): e9630.

Web-based tools for sourcing seeds adapted to future climates

Richardson, B.A.; Kilkenny, F.F. 2022. Web-based tools for sourcing seeds adapted to future climates. Research Highlights. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. Online: https://www.fs.usda.gov/research/news/highlights/web-based-tools-sourcing-seeds-adapted-future-climates

Forb genetic research provides a basis for restoration

Richardson, B.A.; Kilkenny, F.F.; Milano, E.R.; Islam-Faridi, N. 2022. Forb genetic research provides a basis for restoration. Research Highlight. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. Online: https://www.fs.usda.gov/research/rmrs/news/highlights/forb-genetic-research-provides-basis-restoration

Not all seed transfer zones are created equal: Using fire history to identify seed needs in the Cold Deserts of the Western US

Barga, S.C.; Kilkenny, F.F.; Jensen, S.; Kulpa, S.M.; Agneray, A.C.; Leger, E.A. 2022. Not all seed transfer zones are created equal: Using fire history to identify seed needs in the Cold Deserts of the Western US. bioRxiv: 10.1101/2022.08.15.503985v1.

Does a history of co-occurrence predict plant performance, community productivity, or invasion resistance?

Agneray, A.C.; Forister, M.L.; Parchman, T.L.; Leger, E.A. 2022. Does a history of co-occurrence predict plant performance, community productivity, or invasion resistance? bioRxiv 2022.09.20.508783 *This article is a preprint and has not been certified by peer review