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.

Genomic and common garden approaches yield complementary results for quantifying environmental drivers of local adaptation in rubber rabbitbrush, a foundational Great Basin shrub

Faske, T.M.; Agneray, A.C.; Jahner, J.P.; Sheta, L.M.; Leger, E.A.; Parchman, T.L. 2021. Genomic and common garden approaches yield complementary results for quantifying environmental drivers of local adaptation in rubber rabbitbrush, a foundational Great Basin shrub. Evolutionary Applications. 14(12): 2881-2900.

Great Basin Native Plant Project: 2022 Progress Report

Kilkenny, F.; Ott, J.; Barga, S.; Irwin, J.; Rizkowsky, K.; Campbell, N.; Richardson, B.; Milano, E.; Gucker, C. 2023. Great Basin Native Plant Project: 2022 Progress Report. Boise, ID: U.S. Department of Agriculture, Rocky Mountain Research Station. 53 p.

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.

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.

Great Basin Native Plant Selection and Increase Project: 2011 progress report

Shaw, Nancy; Pellant, Mike. 2012. Great Basin Native Plant Selection and Increase Project: 2011 progress report. Boise, ID: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Grassland, Shrubland and Desert Research Program. 212 p.

Great Basin Native Plant Selection and Increase Project: 2009 progress report

Shaw, Nancy; Pellant, Mike. 2010. Great Basin Native Plant Selection and Increase Project: 2009 progress report. Boise, ID: U.S. Department of Agriculture, Rocky Mountain Research Station. 183 p.

Great Basin Native Plant Selection and Increase Project: 2007 progress report

Shaw, Nancy; Pellant, Mike. 2008. Great Basin Native Plant Selection and Increase Project: 2007 progress report. Boise, ID: U.S. Department of Agriculture, Rocky Mountain Research Station. 178 p.