Sustainability scientist
Jianguo Liu (; born 1963) is a Chinese American ecologist and sustainability scientist specializing in the human-environment and sustainability studies. He is University Distinguished Professor at Michigan State University.
Early life and education.
Liu was born in Hunan Province, Southern China, in 1963. He received a B.S. in plant protection at Hunan Agricultural University in 1983, an M.S. in ecology at the Chinese Academy of Sciences in Beijing in 1986, and a PhD in ecology (with focus on ecological economics) from the University of Georgia in 1992. He did his postdoctoral study at Harvard University during 1992-1994.
Career.
Liu joined the faculty of Michigan State University in 1995. He has been the Rachel Carson Chair in Sustainability since 2004 and University Distinguished Professor since 2005. In 2004, he became the founding director of the Center for Systems Integration and Sustainability.
Liu was a visiting scholar (on sabbatical) at Stanford University (2001-2002), Harvard University (2008), and Princeton University (2009). He has also been a research affiliate with the Institute of Social Research at the University of Michigan – Ann Arbor since 2002. 
Research.
Liu has published approximately 400 journal articles, book chapters, and books, in collaboration with hundreds of students and scholars around the world. His publications cover a variety of topics, such as telecoupling, systems integration, sustainability, protected areas, biodiversity, ecosystem restoration, ecosystem services, forest dynamics, drivers of environmental change (e.g. divorce and household proliferation), coupled human and natural systems, ecology, ecological economics, conservation, environment, food systems, land use and land cover change, landscapes, metacoupling, climate change impact, nature-based climate solutions (e.g., natural carbon capture and sequestration), natural resources (e.g., bioenergy, forests, land, water), sociology (e.g., social norms), sustainable development goals, systems modeling, technology (e.g., AI, geographic information systems, machine learning, remote sensing), and wildlife. Below are a few highlights.
References.
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