Jana S Stewart
Biography
Jana Stewart is a Geographer with the US Geological Survey, Wisconsin Water Science Center. She has an M.S. in Environmental Monitoring and Remote Sensing from the University of Wisconsin - Madison, an M.S. in Agricultural Journalism from the University of Wisconsin - Madison, and a B.S. in Horticulture from the University of Wisconsin - Madison. Over the years, she has worked on a variety of projects for the National Water Quality Assessment (NAWQA) Program including the Western Lake Michigan and Upper Illinois River Basin NAWQAs, Data Synthesis team, and BioData User Group. She has also served as the National NAWQA Archival Coordinator. She has been Principal Investigator for regional modeling and decision support projects that integrate scientific data and empirical models with geographic information systems (GIS) and web-based technologies in the Great Lakes and Northeast US regions including the NorEaST Stream Temperature Web Portal, 2) FishVis Decision Support Mapper, and 3) Great Lakes Aquatic Gap project. Jana is an avid outdooor enthusiast and loves gardening, and kayaking, skiing, and cycling with friends across the country.
EDUCATION
M.S. Environmental Monitoring, Institute for Environmental Studies, University of Wisconsin-Madison, 1994
M.S. Agricultural Journalism, University of Wisconsin-Madison, 1985
B.S. Horticulture, University of Wisconsin-Madison, 1978
AREAS OF EXPERTISE
Research interests include linking geographic information systems and regional databases to develop predictive models that can be used to evaluate the influences of natural and anthropogenic environmental factors and climate change on stream water quality, physical habitat, and aquatic biota; assess disturbance, and to identify gaps in the conservation of aquatic species and their habitats. Other interests include developing regional databases to integrate data across multiple agencies and developing decision support mapping tools and to deliver results for use by resource managers for conservation planning and decision making.
Science and Products
SPARROW modeling: Great Lakes, Mississippi River, Ohio River, and Red River Basins
SPARROW models for the Great Lakes, Ohio River, Upper Mississippi River, and Red River Basins predict long-term mean annual loads, yields, concentrations, and source contributions of water, nitrogen, phosphorus, and sediment throughout the Midwest.
SPARROW nutrient modeling: Mississippi/Atchafalaya River Basin (MARB)
SPARROW models for the Mississippi/Atchafalaya River Basin
(MARB) predict long-term average loads, concentrations, yields, and source contributions of water, nitrogen, phosphorus, and suspended sediment to the Gulf of Mexico.
SPARROW nutrient modeling: Binational (US/Canada) models
SPARROW phosphorus and nitrogen models are being developed for the entire Great Lakes Basin and the Upper Midwest part of the U.S., and the Red and Assiniboine River Basin, as part of a Binational project between the USGS and the International Joint Commission (IJC) and National Research Council (NRC) of Canada.
SPARROW modeling: Estimating nutrient, sediment, and dissolved solids transport
SPARROW (SPAtially Referenced Regression On Watershed attributes) models estimate the amount of a contaminant transported from inland watersheds to larger water bodies by linking monitoring data with information on watershed characteristics and contaminant sources. Interactive, online SPARROW mapping tools allow for easy access to explore relations between human activities, natural processes...
FishVis Mapper
The FishVis Mapper is the product of an Upper Midwest and Great Lakes LCC project, “A Regional Decision Support Tool for Identifying Vulnerabilities of Riverine Habitat and Fishes to Climate Change” that developed an approach for predicting fish species occurrence under current climate conditions and project how fish species occurrence may change under future climate conditions.
FishVis Mapper
The FishVis Mapper is the product of an Upper Midwest and Great Lakes LCC project, “A Regional Decision Support Tool for Identifying Vulnerabilities of Riverine Habitat and Fishes to Climate Change” that developed an approach for predicting fish species occurrence under current climate conditions and project how fish species occurrence may change under future climate conditions.