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Hui Liu

Associate Professor
Department of Marine Biology



E-mail: liuh@tamug.edu
Phone: +1 (409) 740.4716
Fax: +1 (409) 740.5001

Ocean & Coastal Studies Bldg., Office 257


CV


Get To Know Hui Liu

What in your life drew you to your current field of study?

Passion, preparation and persistence to understand the mysterious fluctuations of marine living resources in a changing world.

What do you hope your students gain from studying or working with you?

I believe “teaching students how to think is more important than what to think”. From studying or working with me, I expect my students to develop the skills for independent-thinking, logical-reasoning and problem-solving, which is key to be competent for career development.

What are you passionate about in your personal life?

Family, friends and hobbies.

Expertise
Zooplankton processes in the ocean, population dynamics and interactions of marine fishes, quantitative fisheries research, statistical and numerical ecosystem modeling.
Education

Ph.D. Oceanography, University of Alaska Fairbanks, 2006
M.S. Statistics, University of Alaska Fairbanks, 2008
M.S. Marine Biology, Ocean University of China, 1995
B.S. Fisheries, Ocean University of China, 1992

Courses Taught

MARB 303: Biostatistics
MARB 482: Seminar: Science Communication
MARB 606: Advanced Concepts in Marine Biology and Ecology

Publications

Yang Q, Liu H, Liu G-z, Gu Y-b. 2018. Spatio-temporal distribution pattern of Calanus sinicus and its relationship with climate variability in the northern Yellow Sea. ICES Journal of Marine Science 75:2, 764–772.

Liu H, Zhang X, Yang Q, Zuo T, Quigg A. 2017. Mesozooplankton dynamics in relation to environmental factors and juvenile fish in a subtropical estuary of the Gulf of Mexico. Journal of Coastal Research 33:5, 1038–1050.

Harford WJ, Karnauskas M, Walter JF, Liu H. 2017. Non-parametric modeling reveals environmental effects on Bluefin tuna recruitment in Atlantic, Pacific, and Southern Oceans. Fisheries Oceanography 26:4, 396–412.

Liu H, Karnauskas M, Zhang X, Linton B, Porch C. 2017. Forecasting dynamics of red snapper (Lutjanus campechanus) in the U.S. Gulf of Mexico. Fisheries Research 187:31–40.

Bi R, Liu H. 2017. Effects of variability among individuals on zooplankton population dynamics under environmental conditions. Marine Ecology Progress Series 564: 9–28.

Hu H, Wang J, Liu H, Goes J. 2016. Simulation of phytoplankton distributions and variations in the Bering-Chukchi Sea with a 3-D physical biological model, Journal of Geophysical Research – Oceans 121:4041–4055.

Liu H, Bi H, Peterson WT. 2015.Large-scale forcing of environmental conditions on subarctic copepods in the northern California Current system. Progress in Oceanography 134:404–412.

Glaser SM, Fogarty MJ, Liu H, Altman I, Hsieh C-h, Kaufman L, MacCall A, Rosenberg A, Ye H, Sugihara G. 2014. Dynamic complexity in coupled human-marine resource systems. Fish and Fisheries 15:616–633.

Liu H, Fogarty MJ, Hare JA, Hsieh C-h, Glaser SM, Ye H, Deyle E, Sugihara G. 2014. Modeling dynamic interactions and coherence between marine zooplankton and fishes linked to environmental variability. Journal of Marine Systems 131:120–129.

Liu H, Hopcroft RR, Bi H. 2013. Statistical modeling copepod growth rates: comparisons for data collections using the artificial cohort (AC) method. Journal of Experimental Marine Biology and Ecology 448:271–280.

Liu H, Fogarty MJ, Glaser SM, Altman I, Kaufman L, Rosenberg AA, Sugihara G. 2012. Nonlinear dynamic features and co-predictability in the Georges Bank fish community. Marine Ecology Progress Series 464:195–207.

Presentations

2018: Impacts of Hurricane Harvey on zooplankton and the hydrographic conditions in Galveston Bay. Hurricane Harvey Research Symposium, Port Aransas, Texas  

2018: Zooplankton, fisheries and the environment in a changing world. Xiamen University, Xiamen, China

2018: Zooplankton, fisheries and the environment in a changing world. South China Sea Institute of Oceanography, Chinese Academy of Sciences, Guangzhou, China

2018: Roles of zooplankton in trophic interactions and ecosystem shift of a subtropical estuary. ASLO summer meeting, Victoria, Canada

2017: Quantifying the trans-boundary mixing rates of Atlantic Bluefin tuna. AZTI Tecnalia, Pasaia, Spain

2017: Applications of nonlinear forecasting models to single species, fish community and fisheries ecosystems. AZTI Tecnalia, Pasaia, Spain

2016: Time series forecasting models and the application to fisheries research. Harte Research Institute, Texas A&M University Corpus Christi, Corpus Christi, Texas

2015: Exploring the utility of nonlinear time series models forecasting stock abundance of red snapper (Lutjanus campechanus) in the Gulf of Mexico. NOAA/NMFS/SWFSC, La Jolla, California

Grants and Fellowships

2018: National Science FoundatFion supported travel to 2018 PICES annual meeting in Yokohama, Japan [$5,000]

2017: National Science Foundation: RAPID Research: Urgent sampling zooplankton for assessing ecosystem restoration of Galveston Bay after catastrophic impacts of Hurricane Harvey [sole PI: $100,061]

2016: Natural Science Foundation of China: Causes and mechanism of the increase of Calanus sinicus population density in the northern Yellow Sea under global change [Co-PI: ~$100,000]

2015: NOAA Bluefin Tuna Research Program: Development and application of mixed-stock models for determining the origin of Bluefin tuna using natural geochemical tags [Co-PI: $116,597]

2013: NOAA Fisheries and the Environment Program: Exploring the utility of nonlinear time series models forecasting stock abundance of red snapper (Lutjanus campechanus) in the Gulf of Mexico [PI: $74,397]

2013: NOAA Stock Assessment Improvement Program: Exploring nonlinear time series models for forecasting stock abundances in the Gulf of Mexico [PI: $67,474]
Professional Appointments

2017-, U.S. representative on the North Pacific Marine Science Organization (PICES) workgroup on zooplankton production

2013-, Graduate Faculty of the Department of Oceanography, Texas A&M University
Current Graduate Students

Jillian Gilmartin (Ph.D. candidate, expect to complete in 2020)

Chengxue Li (Ph.D. student, expect to complete in 2022)