The dangers of disaster-driven responses to climate change

New publication “The dangers of disaster-driven responses to climate change” just published in Nature Climate Change from Sarah E. Anderson, Ryan R. Bart, Maureen C. Kennedy, Andrew J. MacDonald, Max A. Moritz, Andrew J. Plantinga, Christina L. Tague and Matthew Wibbenmeyer.

Plant response to changes in subsurface water – new publication

The research in this new publication enhances understanding of deep subsurface water storage across landscapes and identifies key remaining challenges in predicting and managing response to climate and land use change in mountain ecosystems of the Sierra Nevada and in other Mediterranean climates worldwide. Klos, P.Z., Goulden, M.L., Riebe, C.S., Tague, C.L., O’Geen, A.T., Flinchum,Continue reading “Plant response to changes in subsurface water – new publication”

New Publication!

In this new publication, regional regression models using a set of three variables (mean annual precipitation, potential evapotranspiration, and baseflow index) selected via expert assessment was found to be effective in predicting percentile flows and performed similarly to larger sets of variables selected using a data-driven method. Fouad, G.,  Skupin, A., Tague, C.L. (2018) Regional regressionContinue reading “New Publication!”

Tague lab part of a new multi-UC campus research grant

The Tague lab will take part in a three-year project to improve the projection of water resources under a range of future scenarios, titled “Headwaters to Groundwater: Resources in a Changing Climate,” led by UCSB Professor Jeff Dozier, and also includes researchers from Lawrence Livermore National Laboratory, UC Davis, UC Irvine, UCLA, and UC Merced.

New approach to model initialization of vegetation published

New publication from Tague Team Lab member Dr. Erin Hanan et al. about a new approach for initializing vegetation stores in a watershed model. Typical initialization methods such as spin‐up to steady state (which assumes uniform vegetation age across a landscape) or remote sensing with allometric relationships (which are species and region specific and doContinue reading “New approach to model initialization of vegetation published”