Assistant Professor of Natural Resource Management and Policy
Research: human dimensions of wildlife, natural resource management; ecosystem services; GIS
- PhD., Wildlife Biology, University of Alaska Fairbanks, 2007
- B.S. Genetics and cell biology, University of Minnesota Twin cities, 1999
- B.S. Ecology, evolution, and behavior, University of Minnesota Twin cities, 1999
I am interested in interdisciplinary research that examines people, ecosystems and their interactions. My research topics include human dimensions of subsistence and sport harvest, land use, ecosystem management, ecosystem services, climate change, and wildfire. I use geographic information systems (GIS), statistics, modeling, and other qualitative and quantitative methods. I enjoy combining social, economic, and biological data to examine how people use and value ecosystem services. Much of my research has dealt with moose and moose hunting in Alaska. But also I am the lead Alaska researcher for an international project called TUNDRA (http://site.uit.no/tundra/) which examines how socio-economic conditions and governance influence land use and harvest by communities in the Arctic.
Download Jennifer Schmidt's Vita (PDF, 463KB).
TUNDRA: Land use and subsistence in the Arctic
Wildlife management in Alaska: a rural perspective
TUNDRA: Community dynamics and trust in Alaska
TUNDRA: Attitudes and opinions about mining in the Artic
Peer Review Publications:
Schmidt, J.I., Kellie, K.A. and Chapin, T. III (2015). Detecting, estimating, and correcting for biases in harvest data: moose hunting in Alaska. Journal of Wildlife Management, 79:1152-1162. (email me for a copy)
Schmidt, J.I., Aanesen, M., Klokov, K., Khrutschev, S., and Hausner, V. (2015). Demographic and economic disparities among Arctic regions. Polar Geography. dx.doi.org/10.1080/1088937X.2015.1065926
Beaman, J., Vaske, J., Schmidt, J.I., and Huan, T.C. (2015) Measuring and correcting response heaping arising from the use of prototypes. Human Dimensions of Wildlife, 20:167-173.
Schmidt, J.I. and Chapin III, F.S. (2014) Relationship of Community Characteristics to Harvest Reporting: Comparative Study of Household Surveys and Harvest Tickets in Alaska. Human Dimensions of Wildlife 19:334-346.
Deheaping software - a program to deal with rounding (i.e. heaping) bias in self-reported survey data. This program helps to assess and correct for biases in metrics such as number of days hunted, number of fish/game harvested, number of visits to parks, etc.