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
Herb, William R, Johnson, Lucinda B Jacobson, Peter C & Stefan, Heinz G. 2014. Projecting coldwater fish habitat in lakes of the glacial lakes region under changing land use and climate regimes.
Allan, J David, McIntyre, Peter B, Smith, Sigrid D P, Halpern, Benjamin S, Boyer, Gregory L, Buchsbaum, Andy, Burton, G A, Campbell, Linda M, Chadderton, W Lindsay, Ciborowski, Jan J H, Doran, Patrick J, Eder, Tim, Infante, Dana M, Johnson, Lucinda B Jos. 2013. Joint analysis of stressors and ecosystem services to enhance restoration effectiveness.. Proceedings of the National Academy of Sciences of the United States of America 110(January):372--7.
Jicha, T. M., Johnson, L. B., Hill, B. H., Regal, R. R. Elonen, C. M. & Pearson, M. S.. 2013. SPATIAL AND TEMPORAL PATTERNS OF NITRIFICATION RATES IN FORESTED FLOODPLAIN WETLAND SOILS OF UPPER MISSISSIPPI RIVER POOL 8. River Research and Applications (May)
Kovalenko, KE, Brady, VJ, Brown, TN, Ciborowski, JJH, Danz, NP, Gathman, JP, Host, GE, Howe, RW, Johnson, LB Niemi, GJ & Reavie, ED. 2013. Congruence of community thresholds in response to anthropogenic stressors in Great Lakes coastal wetlands. Freshwater Science
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 70:1531--1541.
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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.
A Comprehensive Stressor-Response Model to Inform Ecosystem Restorations Across the Great Lakes Basin
Two maps depicting anthropogenic stresses across the Great Lakes Basin will be merged into a composite map that spans the entire basin.
Improving Hydrology Predictions with LiDAR
Use newly available soils and topographic data to update predictions of peak and base flow in MN`s north shore streams.
Spatial Conservation and Investment Portfolios to Manage Climate-Related Risk
This project brings together economists and spatial scientists in landscape ecology to carry out important developments in the science of risk management tools from financial portfolio theory that exploits information about spatial covariances in projected ecological conditions, and show how policy makers and conservation agents can apply those tools to spatial targeting of mitigation, restoration, and adaptation investments.
The objectives of the overall project are: (1) Develop a new enriched set of conservation-outcome forecasts for the Prairie Pothole Region (PPR) with higher spatial accuracy and for a more diverse set of possible climate scenarios than previously available. (2) Construct spatially explicit data sets suitable for MPT analysis of ecological outcomes for two other previously studied conservation problems under multiple possible climate outcomes (Eastern birds, Appalachian salamanders); quantify and test hypotheses about the drivers of spatial patterns in ecological uncertainty. (3) Using the data on those three diverse conservation problems, evaluate the performance of MPT relative to simple or no diversification, and identify the kinds of problems for which this methodology is most useful. (4) Identify when and how iterated portfolio analysis can best be done to develop spatially disaggregated investment strategies in the absence of information on a large number of climate scenarios. (5) Develop a method of portfolio analysis to guide allocation of investment between both land purchases in different areas and stewardship activities to buffer protected areas against warming. (6) Identify the potential for using multi-objective portfolio analysis methodologies in conservation planning.
Landscape ecologists at NRRI will be developing spatial data on ecological returns and risk from conservation investments in varied sub-regions of the Prairie Pothole Region (Objective 1) and providing data and support to the ecologists and economists from University of Illinois to complete Objectives 2-6.
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, in the form of nitrogen and phosphorus inputs, and habitat.
GLEI II - Indicator Testing and Refinement
The GLEI-II project will focus on wetland near shore conditions of the Great Lakes, and consists 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, 3) test and compare analytical techniques to cross-calibrate indicators from concurrent monitoring programs, 4) evaluate cost-effectiveness of indicators,5) implement a data collection, analysis, and reporting system, as well as a map of baseline conditions for the Great Lakes basin based on historical and current monitoring information.
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.