Center for Water
and the Environment
Lucinda Johnson, Ph.D., 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
7: Brooks, B W, Lazorchak, J M, Howard, M D A, Johnson, M-V V, Morton, S L, Perkins, D A K, Reavie, E D, Scott, G I, Smith, S A Steevens, J A. 2016. Are harmful algal blooms becoming the greatest inland water quality threat to public health and aquatic ecosystems?. Environmental Toxicology and Chemistry 35:6--13.
7: Olker, J H, Kovalenko, K E, Ciborowski, J J H, Brady, V J Johnson, L B. 2016. Watershed land use and local habitat: implications for habitat assessment. Wetlands In press
7: Stueve, K M, Hollenhorst, T P, Kelly, J R Johnson, L B & Host, G E. 2015. High-resolution maps of forest-urban watersheds present an opportunity for ecologists and managers. Landscape Ecology 30:313--323.
7: Robinson, Stacie J., Neitzel, David F., Moen, Ronald A., Craft, Meggan E., Hamilton, Karin E., Johnson, Lucinda B., Mulla, David J., Munderloh, Ulrike G., Redig, Patrick T., Smith, Kirk E., Turner, Clarence L. Umber, Jamie K. & Pelican, Katharine M.. 2015. Disease Risk in a Dynamic Environment: The Spread of Tick-Borne Pathogens in Minnesota, USA. EcoHealth 12:152--163.
7: Herb, W R, Johnson, L B Jacobson, P C & Stefan, H G. 2014. Projecting cold-water fish habitat in lakes of the glacial lakes region under changing land use and climate regimes. Canadian Journal of Fisheries and Aquatic Sciences 71:1334--1348.
to view complete publication list.
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)
Prioritizing Future Management of North Shore Trout Streams
Maintenance Agreement for the Wetland Restoration Tool
Collaborative Research: Climatic and Anthropogenic Forcing of Wetland Landscape Connectivity in the Great Plains
This collaborative project brings together hydrological modelers, ecologists, and spatial scientists from five universities to establish links among climatic and land use drivers affecting habitat connectivity for wildlife in current and projected wetland landscapes. Building on a theoretical framework of well-established landscape ecological principles regarding effects of land cover and connectivity, this work will examine patterns and processes that interact across local to continental scales and incorporate Land Cover/Land Use Change (LCLUC) projections in predicting habitat suitability and landscape connectivity for wetland-dependent species.
The objective of the overall project is to assess the influence of climatic drivers of wetland landscape habitat connectivity in the Great Plains, incorporating sophisticated hydrologic modeling with projected climate change and LCLUC to predict impacts on amphibians and waterbirds under a range of likely future scenarios.
Landscape ecologists at NRRI will be working on the amphibian modeling portion of this project, with the sub-objective to model the effects of climate and land use/land cover change on wetland habitat availability and connectivity at local and landscape scales using amphibians (anurans and salamanders) as a focal group with low vagility.
Developing a decision support system for prioritizing protection and restoration areas of Great Lakes coastal wetlands
Adaptive Management of Untreated Urban Runoff: An Initial Regional Assessment of Potential Restoration Priority Areas
Woolpert-NOAA ELOHA Modeling (External Sales)
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.
Integrative social and hydrologic models for enhanced resiliency of coastal communities under extreme weather events
To assess the interactions between environmental risk and community response of coastal ecosystems in the face of changing precipitation regimes and extreme weather events
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 to develop sets of conservation-outcome forecasts from multiple possible climate scenarios for: 1) wetlands in the Prairie Pothole Region, 2) Eastern Birds, and 3) Appalachian salamanders which can be used to quantify and test hypotheses about the drivers of spatial patterns in ecological uncertainty and construct spatially explicit data sets suitable for MPT analysis. These data will be used for MPT analysis, including evaluation of performance, identifying the kinds of problems this methodology is most useful, identifying when and how iterated portfolio analysis can best be done in absence of data from a large number of climate scenarios, developing a method to guide investment allocation (land purchases and stewardship activities), and identifying potential for 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 and providing data and support to the ecologists and economists from University of Illinois to complete the rest of the objectives.
An open standards data and metadata pipeline for the Natural Resources Research Institute Great Lakes Data