Center for Water
and the Environment
Lucinda Johnson, Ph.D., NRRI Interim Director, CWE Center Director, and Senior Research Associate
Position and Focus
Areas of interest include bioindicators, amphibians and watersheds. Research projects include: effects of multiple stressors on aquatic communities; testing indicators of coastal ecosystem integrity using fish and macroinvertebrates; protocols for selecting classification systems and reference conditions: a comparison of methods.
Ph.D., Zoology, Michigan State University, 1999
M.S., Environmental Science and Forestry, State University of New York, 1984
B.A., Duke University, 1976
Olker, J H, Johnson, L B Axler, R P & Johnson, C M. 2013. Factors influencing ultraviolet radiation dose to developing frogs in northern vernal pools. Canadian Journal of Fisheries and Aquatic Sciences
Hollenhorst, T P Johnson, L B & Ciborowski, J J H. 2011. Monitoring land cover change in the Lake Superior basin. Aquatic Ecosystem Health and Management 14:433--442.
Host, G E, Brown, T N, Hollenhorst, T P Johnson, L B & Ciborowski, J J H. 2011. High-resolution assessment and visualization of environmental stressors in the Lake Superior basin. Aquatic Ecosystem Health and Management 14:376--385.
Merten, E C, Finlay, J, Johnson, L, Newman, R Heinz, S & Vondracek, B. 2011. Environmental controls of wood entrapment in Upper Midwestern streams. Hydrological Processes 25:593--602.
Niemi, G J, Reavie, E D, Peterson, G S, Kelly, J R, Johnston, C A, Johnson, L B, Howe, R W, Host, G E, Hollenhorst, T P, Danz, N P, Ciborowski, J J H, Brown, T N Brady, V J & Axler, R P. 2011. An integrated approach to assessing multiple stressors for coastal Lake Superior. Aquatic Ecosystem Health and Management 14:1--21.
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Project list for Lucinda Johnson :
(A link will go to the project's current report, an arrow will take you to a project's home page)
Managing the Nations Fish Habitat at Multiple Spatial Scales
1) To refine empirical and mechanistic models for predicting extent of cold water fish habitat under current land use and climate regimes. Predict oxythermal habitat for coldwater fish species using an empirical model incorporating existing land use, lake morphometry, and climate data.
2) Predict future extents of cold water fish habitat in lakes of the Glacial Lakes region under future climate and land use scenarios. Predict future oxythermal habitat in lakes under changing land use and climate for a large set of regional coldwater lakes using empirical models. Predict future oxythermal habitat for individual lakes under changing land use and climate for distinct lake classes and/or geographic regions using a mechanistic model.
Great Lakes Coastal Wetland Monitoring
To assess the biotic condition of all the major coastal wetlands of the Great Lakes, United States and Canadian shorelines.
Prioritizing Wetland Restoration for Water Quality and Habitat Improvement
To prioritize wetland restoration to select sites that will most likely result in high quality wetlands which will be sustainable in the future and second, to prioritize wetland restoration that will improve water quality and habitat.
Great Lakes Coastal Database and Classification Framework
To develop a habitat classification system that focuses on the nearshore and coastal systems of the Great Lakes to provide a data framework that will guide future restoration and management objectives.
GLEI II - Indicator Testing and Refinement
The GLEI-II project will focus on wetland near shore conditions of the Great Lakes, and consist of five tasks: 1) Refine coastal ecosystem indicators from previous monitoring programs through calibration against updated landscape/land use information within the entire Great Lakes basin, 2) test the temporal and geographic integrity of existing Great Lakes indicators. Determine scores for a suite of metrics from sites not sampled previously, and test the applicability of metrics across the Great Lakes basin, including Canada, 3) test and compare analytical techniques to cross-calibrate indicators from concurrent monitoring programs, 4) evaluate indicators for cost-effectiveness, 5) implement a data collection, analysis, and reporting system for recommended indicators as well as a web-based reporting system that integrates landscape/land use information systems, and 6) create a map of baseline conditions for the Great Lakes basin based on historical and current monitoring information.