Dr. Gan receives Texas Forestry Association
Research, Development, and Innovation Award

Dr. Gan receives Texas Forestry Association Research, Development, and Innovation Award
Photo by Judith Turlington

Dr. Jianbang Gan was selected by the Texas Forestry Association to receive the Research, Development, and Innovation Award. This award honors an individual who has provided research, developed a process or demonstrated innovation that benefits the forestry profession. He was honored at the Awards Luncheon during the Texas Forestry Association meeting in Nacogdoches, Texas on October 21, 2010.

Dr. Gan is a professor in Forest Economics and Management, jointly appointed in the Departments of Ecosystem Science and Management and Agricultural Economics. His current research centers on the economics of bioenergy and natural and human disturbances including climate change, wildfire, pest infestation, and invasion of alien species as related to forest resource management/conservation. He is also keen in issues related to forest product trade and socially or economically disadvantaged forestland owners. In addition, he has some research experience in sustainable forest management in Africa and Asia. He teaches four undergraduate- and graduate-level courses. Before joining Texas A&M University, he taught forestry and agricultural economics and served as coordinator of the Forest Resources Program at Tuskegee University. Dr. Gan received both M.S. and Ph.D. degrees from Iowa State University.

The Department of Ecosystem Science and Management (ESSM) was formed in March 2007 by a merger of the Departments of Rangeland Ecology and Management and Forest Science. This new academic Department reflects an expanded emphasis on ecosystem science and natural resource management in its education, research, and extension programs. The Department is in the College of Agriculture and Life Sciences and it is comprised of 50 faculty, 57 staff, and 100 graduate and 230 undergraduate students. The primary mission of the Department is to 'solve real world problems with research-based solutions'.