Publications

Grantham, T.E., D.M. Carlisle, J. Howard, B. Lane, R.A. Lusardi, A. Obester, S. Sandoval-Solis, B. Stanford, E.D. Stein, K.T. Taniguchi-Quan, S.M. Yarnell, and J.K.H. Zimmerman. (2022). Modeling Functional Flows in California’s Rivers. Front. Environ. Sci. 10:787473. doi: 10.3389/fenvs.2022.787473

Taniguchi-Quan, K.T., K. Irving, E.D. Stein, A. Poresky, R.A. Wildman Jr, A. Aprahamian, C. Rivers, G. Sharp, S.M. Yarnell, and J.R. Feldman. (2022). Developing Ecological Flow Needs in a Highly Altered Region: Application of California Environmental Flows Framework in Southern California, USA. Front. Environ. Sci. 10:787631. doi: 10.3389/fenvs.2022.787631

Irving, K., K.T. Taniguchi-Quan, A. Aprahamian, D. River, G. Sharp, R.D. Mazor, S. Theroux, A. Holt, R.A. Peek, and E.D. Stein. (2022). Application of flow-ecology analysis to inform prioritization for stream restoration and management actions. Front. Environ. Sci. 9:787462. doi: 10.3389/fenvs.2021.787462

Obester, A.N., R.A. Lusardi, N.R. Santos, R.A. Peek, and S.M. Yarnell. (2022). The use of umbrella fish species to provide a more comprehensive approach for freshwater conservation management. Aquatic Conservation: Marine and Freshwater Ecosystems, 32( 1), 112128. doi: 10.1002/aqc.3746

Peek R.A., K. Irving, S.M. Yarnell, R.A. Lusardi, E.D. Stein, and R. Mazor. (2022). Identifying Functional Flow Linkages Between Stream Alteration and Biological Stream Condition Indices Across California. Front. Environ. Sci. 9:790667. doi: 10.3389/fenvs.2021.790667

Yarnell S.M., A. Willis, A. Obester, R.A. Peek, R.A. Lusardi, J. Zimmerman, T.E. Grantham, and E.D. Stein. (2022). Functional Flows in Groundwater-Influenced Streams: Application of the California Environmental Flows Framework to Determine Ecological Flow Needs. Front. Environ. Sci. 9:788295. doi: 10.3389/fenvs.2021.788295

Stein, E.D., J. Zimmerman, S.M. Yarnell, B. Stanford, B. Lane, K.T. Taniguchi-Quan, A. Obester, T.E. Grantham, R.A. Lusardi, and S. Sandoval-Solis. (2021). The California Environmental Flows Framework: Meeting the Challenges of Developing a Large-Scale
Environmental Flows Program
. Frontiers in Environmental Science 9:769943. doi: 10.3389/fenvs.2021.769943

Yarnell, S.M., E.D. Stein, J.A. Webb, T.E. Grantham, R.A. Lusardi, J. Zimmerman, R.A. Peek, B.A. Lane, J. Howard, and S. Sandoval‐Solis. (2020). A functional flows approach to selecting ecologically relevant flow metrics for environmental flow applications. River Research and Applications, 36(2), 318–324. doi: 10.1002/rra.3575

Grantham, T.E., J.F. Mount, E.D. Stein, and S.M. Yarnell. (2020). Making the most of water for the environment: a functional flows approach for California Rivers. Public Policy Institute of California. https://www.ppic.org/publication/making-the-most-of-water-for-the-environment/

Patterson, N.K., B.A. Lane, S. Sandoval-Solis, G.B. Pasternack, S.M. Yarnell, and Y. Qiu. (2020). A hydrologic feature detection algorithm to quantify seasonal components of flow regimes. Journal of Hydrology 585. doi: 10.1016/j.jhydrol.2020.124787

Lane, B.A., S. Sandoval-Solis, E.D. Stein, S.M. Yarnell, G.B. Pasternack, and H.E. Dahlke. (2018). Beyond metrics? The role of hydrologic baseline archetypes in environmental water management. Environmental Management. doi: 10.1007/s00267-018-1077-7

Lane, B.A., H.E. Dahlke, G.B. Pasternack, and S. Sandoval-Solis. (2017). Revealing the Diversity of Natural Hydrologic Regimes in California with Relevance for Environmental Flows Applications. Journal of the American Water Resources Association (JAWRA) 53(2):411-430. doi: 10.1111/1752-1688.12504

Pyne, M.I., D.M. Carlisle, C.P. Konrad, and E.D. Stein. (2017). Classification of California streams using combined deductive and inductive approaches: Setting the foundation for analysis of hydrologic alteration. Ecohydrology. (2017). 10:e1802. doi: 10.1002/eco.1802

Yarnell, S.M., G.E. Petts, J.C. Schmidt, A.A. Whipple, E.E. Beller, C.N. Dahm, … J.H. Viers. (2015). Functional Flows in Modified Riverscapes: Hydrographs, Habitats and Opportunities. BioScience, biv102. doi: 10.1093/biosci/biv102