Welcome to the Tague Team Lab at UCSB!

The Tague EcoHydrology lab focuses on watershed research, addressing the feedbacks among terrestrial vegetation, surface hydrological processes, and atmospheric conditions. We use a variety of techniques to examine the impact of changes in climate and land use on ecosystem health and water resources.
Please scroll through our blog below to see what we’ve been up to!

All are welcome to attend our weekly lab meetings and take part in presentations and scientific discussions. See our Lab meeting schedule & events page for information on each week’s topic or presenter. Meetings are held in the Bren hall lab wing, room 1005.

PostDoc Opportunity

Postdoctoral Scholar in Ecological Modeling of Fire Regimes and Vegetation Growth
Bren School of Environmental Science, University of California Santa Barbara;
Contact Naomi Tague (tague@ucsb.edu)

We are seeking a post-doctoral scholar to join our “Building Resilience to Wildfires” Team at the University of California, Santa Barbara. This is a cross-campus project with the goal of improving landscape level fire management in the California Central Coast and other semi-arid regions. The focus of the post-doctoral scholar will be the ecological modeling component of the
project, where the goal is to apply a state-of-the art ecohydrologic model (RHESSys-Fire) to develop future scenarios of fire risk, post-fire vegetation recovery, post-fire hydrology and longterm fuel treatment effectiveness. The post-doctoral scholar will work closely with the TagueTeamLab under the supervision of PI Tague on the ecological modeling but will also interact with the entire project team to integrate new datasets collected as part of the larger project and participate in science communication and outreach.
We are looking for a post-doctoral scholar with a strong background in ecological or hydrologic modeling. Strong data-science skills, including spatial analysis and the ability to work in UNIX/Linux environment, is essential. At least 2 years of programming experience with R (or equivalents) is required along with a demonstrated ability to work as part of a project team and strong written and oral communication skills. Experience with fire regime models and/or fire ecology would be particularly helpful. Some familiarity with C programming language is also helpful. Applicants must have completed all requirements for a PhD (or equivalent) in a earth
system science discipline with strong data science focus, except the dissertation, by the time of application.

To apply, please submit a cover letter, CV and the names of 3 references to tague@ucsb.edu

This is a full-time position. Competitive salary and benefits commensurate with experience. The initial appointment is for 1 year with the potential for an additional year based on satisfactory performance and funding availability.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Open Date: Nov 15, 2022
Final Date: December 31, 2022

New article – post thinning micrometeorology & soil moisture under extreme drought & record precipitation

This new article compares the below-canopy meteorological and subsurface hydrologic differences between two thinning prescriptions and an unaltered Control during periods of extreme drought and near-record precipitation (with little snow) within a coniferous forest in the rain-snow transition zone of the southern Cascades.

Hardage, K., Wheelock, S.J., Gaffney, R., O’Halloran, T., Serpa, B., Grant, G., Coppoletta, M., Csank, A., Tague, C., Staudacher, M., Tyler, S. (2022) Soil moisture and micrometeorological differences across reference and thinned stands during extremes of precipitation, southern Cascade Range, Frontiers in Forests and Global Change 5:898998. doi: 10.3389/ffgc.2022.898998

Rachel Torres Receives Excellence in Teaching Award

Congratulations to our own Tague Team Lab member – PhD student Rachel Torres – on receiving the Graduate Student Association Excellence in Teaching Award, recognizing her outstanding work for teaching and mentoring students in Earth System Science and Environmental Modeling at the Bren School, and Introduction to Environmental Science for the UCSB Environmental Studies department.

Upcoming Machine learning/RHESSys output presentation

This Master of Environmental Data Science (MEDS) Capstone Project Presentation features a machine learning algorithm designed to interpret RHESSys output and extract meaningful insights into the possible impacts of climate change on forest health, and visualize findings in an interactive manner that is accessible to forest managers, students, and the general public.

A Reproducible Machine Learning Approach for Interpreting Ecohydrologic Model Outputs

Thursday, May 26 2022, 1:10-1:30
Bren Hall 1414 + Livestream
Student group: Alex Clippinger, Wylie Hampson, Shale Hunter, Peter Menzies
Faculty Advisor: Christina (Naomi) Tague