Michael Runge is a research ecologist at the Eastern Ecological Science Center, where he has worked since 1999.
Professional Experience
2001-present Research Ecologist at USGS Eastern Ecological Science Center (Previously Patuxent Wildlife Research Center)
2009 to 2010 visiting scientist at the University of Melbourne, School of Botany
1989 to 1994 taught math and science at St. Francis High School in Louisville, Kentucky
Education and Certifications
B.A. in biology and philosophy (1989) from the Johns Hopkins University
M.A.T. (Master of Arts in Teaching) in biology (1994) from Spalding University
Ph.D. in wildlife science (1999),with minors in biometrics and agricultural economics, from Cornell University
Honors and Awards
Regional Director’s Award for Excellence in Communication. USGS Western Region. November 2007. “In recognition of outstanding science leading to enhanced understanding of the relation bet
Unit Award for Excellence of Service. U.S. Department of Interior. November 2007. In recognition of the outstanding contributions of the International Polar Bear Science Team
Unit Award for Excellence of Service. U.S. Department of Interior. September 2007. In recognition of introducing the adaptive management initiative across the Department
Regional Director’s Conservation Award, USFWS Region 4. May 2007. For contributions to and partnership in the science and recovery efforts of the Florida manatee.
Extraordinary Contribution. Chief, National Wildlife Refuge System, USFWS. June 2003. For extraordinary contributions to Fulfilling the Promise.
Superior Service Award. United States Department of Interior. October 2005. For making your science available to natural resource managers for use in their management decisions
STAR Award - USFWS Region 5. June 2004. For outstanding contributions to improving wildlife management science on National Wildlife Refuges
STAR Award - USGS. August 2003. For supporting the USFWS in the manatee incidental take rule-making.
STAR Award - PWRC, U.S. Geological Survey. January 2002. For helping organize and present the Adaptive Management Workshop at the 2001 Wildlife Society Meeting.
STAR Award - PWRC, U.S. Geological Survey. January 2002. For helping organize and present the Adaptive Management Workshop at the 2001 Wildlife Society Meeting.
Gamma Sigma Delta. Cornell University. Election, May 1998.
Delta Epsilon Sigma. Spalding University. Election, April 1994.
Phi Beta Kappa. Johns Hopkins University. Election, March 1988.
Presidential Scholar. The White House. June 1985.
Science and Products
Disease Decision Analysis and Research
COVID-19 Pathways and Wildlife Dynamics
Decision Science Support for SARS-CoV-2 Risk to North American Bats
Decision science support for Chronic Wasting Disease
Is timing really everything? Evaluating Resource Response to Spring Disturbance Flows
Markov decision processes in non-autonomous socio-ecological systems
Informing Management of Waterfowl Harvest in a Changing Climate
Population Ecology of Florida Manatees
Environmental Management of Vector-borne Diseases
Structured Decision Making
Decision-Support for Migratory Bird Management in the Face of Uncertainty
Integrating Habitat and Harvest Management for Northern Pintails
Decision-Support Framework for Linking Regional-Scale Management Actions to Continental-Scale Conservation of Wide-Ranging Species
An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (Karenia brevis)
The changing dynamics of highly pathogenic avian influenza H5N1: Next steps for management & science in North America
Multiple models for outbreak decision support in the face of uncertainty
A simplified method for value of information using constructed scales
Evaluating management alternatives for Wyoming elk feedgrounds in consideration of chronic wasting disease
Unstructured-grid approach to develop high-fidelity groundwater model to understand groundwater flow and storage responses to excessive groundwater withdrawals in the Southern Hills aquifer system in southeastern Louisiana (USA)
Qualitative value of information provides a transparent and repeatable method for identifying critical uncertainty
Proceedings of the Fiscal Year 2022 Annual Reporting Meeting to the Glen Canyon Dam Adaptive Management Program
Context-dependent representation of within- and between-model uncertainty: Aggregating probabilistic predictions in infectious disease epidemiology
Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi-model study
Hurdles to developing quantitative decision support for Endangered Species Act resource allocation
Structured decision making
Vote-processing rules for combining control recommendations from multiple models
Decision-Support Tool to Estimate SARS-CoV-2 Human-to-bat Transmission Risk
This application is designed to evaluate the risk of SARS-CoV-2 transmission from humans to North American bats during winter field work and specifically surveys of winter roosts and hibernacula for white-nose syndrome.
Decision-Support Tool to Estimate SARS-CoV-2 Human-to-bat Transmission Risk
Science and Products
- Science
Filter Total Items: 15
Disease Decision Analysis and Research
The Disease Decision Analysis and Research group is a multi-disciplinary team based out of the Eastern Ecological Science Center whose strengths are in ecology, decision sciences and quantitative modeling.COVID-19 Pathways and Wildlife Dynamics
Below are the USGS 2020 Coronavirus Aid, Relief and Economic Security Act (CARES Act) research projects related to COVID-19 pathways and wildlife dynamics. Select tabs above for related items.Decision Science Support for SARS-CoV-2 Risk to North American Bats
The Eastern Ecological Science Center is working closely with federal, state, and tribal partners to help inform decisions that reduce the risk of SARS-CoV-2 transmission from humans to North American wildlife, including bats.Decision science support for Chronic Wasting Disease
Eastern Ecological Science Center adds the decision analytical skill set to the existing body of USGS expertise on Chronic Wasting Disease (CWD), in support of our sister DOI agencies.Is timing really everything? Evaluating Resource Response to Spring Disturbance Flows
Glen Canyon Dam has altered ecological processes of the Colorado River in Grand Canyon. Before the dam was built, the Colorado River experienced seasonable variable flow rates, including springtime flooding events. These spring floods scoured the river bottom and enhanced natural processes that sustained the Colorado River ecosystem. Since the dam’s construction in 1963, springtime floods have...Markov decision processes in non-autonomous socio-ecological systems
Our ability to effectively manage natural resources is founded in an understanding of how our actions and the environment influence populations, communities, and ecosystems. Current practices use monitoring data from the past to determine key ecological relationships and make predictions about the future with the assumption that those relationships will remain constant. However, many natural systeInforming Management of Waterfowl Harvest in a Changing Climate
The ability to effectively manage wildlife in North America is founded in an understanding of how human actions and the environment influence wildlife populations. Current management practices are informed by population monitoring data from the past to determine key ecological relationships and make predictions about future population status. In most cases, including the regulation of waterfowl huPopulation Ecology of Florida Manatees
USGS is working with partners to understand how the federally protected Florida manatee population changes over time and responds to threats.Environmental Management of Vector-borne Diseases
Effective management programs for vector-borne pathogens, such as West Nile Virus and the Lyme disease spirochete, are necessary to protect public health. However, some vector control methods, such as landscape manipulations and pesticide applications, can also adversely affect nontarget species and environmentally sensitive natural systems. Efficient targeting and integration of vector control...Structured Decision Making
The biggest natural resource management challenges include competing views of the value and uses of those resources in society. Patuxent scientists develop methods to manage resources given those competing views under a “structured decision making” (SDM) framework. Our scientists both practice and train others in key SDM skills, such as model development and monitoring design.Decision-Support for Migratory Bird Management in the Face of Uncertainty
Migratory birds are responding to changes in climate in complex and sometimes unpredictable ways. The timing of breeding and migration typically coincide with the periods of peak food availability; however, these peaks are shifting as temperatures and precipitation patterns change, resulting in a mismatch in the timing of key events. The degree to which this mismatch is impacting migratory birds vIntegrating Habitat and Harvest Management for Northern Pintails
The Challenge: Several blue-ribbon panels have challenged the waterfowl management world to recognize the linkages between the two primary management frameworks: harvest management under the Migratory Bird Treaty Act, and habitat management under the North American Waterfowl Management Plan. Because these two frameworks seek to manage the same populations, there needs to be better coordination, in... - Data
Decision-Support Framework for Linking Regional-Scale Management Actions to Continental-Scale Conservation of Wide-Ranging Species
This data release presents the data, JAGS models, and R code used to manipulate data and to produce results and figures presented in the USGS Open File Report, "Decision-Support Framework for Linking Regional-Scale Management Actions to Continental-Scale Conservation of Wide-Ranging Species", (https://doi.org/10.5066/P93YTR3X). The zip folder is provided so that other can reproduce results from thAn expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (Karenia brevis)
Table summarizing results from expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (Karenia brevis). - Multimedia
- Publications
Filter Total Items: 150
The changing dynamics of highly pathogenic avian influenza H5N1: Next steps for management & science in North America
Highly pathogenic avian influenza virus (HPAIV) H5N1 was introduced in North America in late 2021 through trans-Atlantic pathways via migratory birds. These introductions have resulted in an unprecedented epizootic, a widespread disease event in animals, heavily affecting poultry, wild birds, and recently mammals. The North American incursions occurred during the largest epidemic season (2021–2022AuthorsJohanna Harvey, Jennifer M. Mullinax, Michael C. Runge, Diann ProsserMultiple models for outbreak decision support in the face of uncertainty
Policymakers must make management decisions despite incomplete knowledge and conflicting model projections. Little guidance exists for the rapid, representative, and unbiased collection of policy-relevant scientific input from independent modeling teams. Integrating approaches from decision analysis, expert judgment, and model aggregation, we convened multiple modeling teams to evaluate COVID-19 rAuthorsKatriona Shea, Rebecca K. Borchering, William J M Probert, Emily Howerton, Tiffany L. Bogich, Shou-Li Li, Willem G. van Panhuis, Cecile Viboud, Ricardo Aguás, Artur A. Belov, Sanjana H. Bhargava, Sean M. Cavany, Joshua C. Chang, Cynthia Chen, Jinghui Chen, Shi Chen, YangQuan Chen, Lauren M. Childs, Carson C. Chow, Isabel Crooker, Sara Y. Del Valle, Guido España, Geoffrey Fairchild, Richard C. Gerkin, Timothy C. Germann, Quanquan Gu, Xiangyang Guan, Linhong Guo, Gregory R. Hart, Thomas J. Hladish, Nathaniel Hupert, Daniel Janies, Cliff C. Kerr, Daniel J. Klein, Eili Y. Klein, Gary Lin, Carrie Manore, Lauren A. Meyers, John E. Mittler, Kunpeng Mu, Rafael C. Nunez, Rachel J. Oidtman, Remy Pasco, Ana Pastore y Piontti, Rajib Paul, Carl A. B. Pearson, Dianela R. Perdomo, T. Alex Perkins, Kelly Pierce, Alexander N. Pillai, Rosalyn C. Rael, Katherine Rosenfeld, Chrysm W. Ross, Julie A. Spencer, Arlin B. Stoltzfus, Kok B. Toh, Shashaank Vattikuti, Alessandro Vespignani, Lingxiao Wang, Lisa J. White, X. Pan, Yupeng Yang, Osman N. Yogurtcu, Weitong Zhang, Yanting Zhao, Difan Zou, Matthew J. Ferrari, David Pannell, Michael J. Tildesley, J. Seiferth, Elyse Johnson, Matthew Biggerstaff, Michael A Johansson, Rachel B. Slayton, John Levander, Jeff Stazer, J. Kerr, Michael C. RungeA simplified method for value of information using constructed scales
The value of information is a central concept in decision analysis, used to quantify how much the expected outcome of a decision would be improved if epistemic uncertainty could be resolved prior to committing to a course of action. One of the challenges, however, in quantitative analysis of the value of information is that the calculations are demanding, especially in requiring predictions of outAuthorsMichael C. Runge, Clark S. Rushing, James E. Lyons, Madeleine A. RubensteinEvaluating management alternatives for Wyoming elk feedgrounds in consideration of chronic wasting disease
Executive SummaryThe authors used decision and modeling analyses to evaluate management alternatives for a decision on whether to permit Cervus canadensis (elk) feeding on two sites on Bridger-Teton National Forest, Dell Creek and Forest Park. Supplemental feeding of elk could increase the transmission of chronic wasting disease (CWD) locally and disease spread regionally, potentially impacting elAuthorsJonathan D. Cook, Paul C. Cross, Emily M. Tomaszewski, Eric K. Cole, Evan H. Campbell Grant, James M. Wilder, Michael C. RungeUnstructured-grid approach to develop high-fidelity groundwater model to understand groundwater flow and storage responses to excessive groundwater withdrawals in the Southern Hills aquifer system in southeastern Louisiana (USA)
Study regionThe Southern Hills aquifer system in the Louisiana Capital Area Groundwater Conservation District (CAGCD), USA.Study focusThe Southern Hills aquifer system provides abundant groundwater for public and industrial supplies in the CAGCD. Groundwater depletion, saltwater intrusion, and land subsidence are potential concerns due to prolonged excessive groundwater withdrawals. This study devAuthorsYe-Hong Chen, Hamid Vahdat-Aboueshagh, Frank T.-C. Tsai, Alyssa Dausman, Michael C. RungeQualitative value of information provides a transparent and repeatable method for identifying critical uncertainty
Conservation decisions are often made in the face of uncertainty because the urgency to act can preclude delaying management while uncertainty is resolved. In this context, adaptive management is attractive, allowing simultaneous management and learning. An adaptive program design requires the identification of critical uncertainties that impede the choice of management action. Quantitative evaluaAuthorsMichelle L Stantial, Abigail Jean Lawson, Auriel M.V. Fournier, Peter J. Kappes, Chelsea S. Kross, Michael C. Runge, Mark S. Woodrey, James E. LyonsProceedings of the Fiscal Year 2022 Annual Reporting Meeting to the Glen Canyon Dam Adaptive Management Program
(Hartwell) This report is prepared primarily to account for work conducted and products delivered in FY 2022 by GCMRC and to inform the Technical Work Group of science conducted by GCMRC and its cooperators in support of the Glen Canyon Dam Adaptive Management Program (GCDAMP). It includes a summary of accomplishments, modifications to work plans, results, and recommendations related to projects iAuthorsDavid Topping, Paul Grams, Emily C. Palmquist, Joel B. Sankey, Helen C. Fairley, Bridget Deemer, Charles Yackulic, Theodore Kennedy, Anya Metcalfe, Maria C. Dzul, David Ward, Mariah Aurelia Giardina, Lucas Bair, Thomas Gushue, Caitlin M. Andrews, Ronald E. Griffiths, David Dean, Keith Kohl, Michael J Moran, Nicholas Voichick, Thomas A. Sabol, Laura A. Tennant, Kimberly Dibble, Michael C. RungeContext-dependent representation of within- and between-model uncertainty: Aggregating probabilistic predictions in infectious disease epidemiology
Probabilistic predictions support public health planning and decision making, especially in infectious disease emergencies. Aggregating outputs from multiple models yields more robust predictions of outcomes and associated uncertainty. While the selection of an aggregation method can be guided by retrospective performance evaluations, this is not always possible. For example, if predictions are coAuthorsEmily Howerton, Michael C. Runge, Tiffany L. Bogich, Rebecca K. Borchering, Hidetoshi Inamine, Justin Lessler, Luke C Mullany, William J.M. Probert, Claire P. Smith, Shaun Truelove, Cècile Viboud, Katriona SheaImpact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi-model study
BackgroundThe COVID-19 Scenario Modeling Hub convened nine modeling teams to project the impact of expanding SARS-CoV-2 vaccination to children aged 5–11 years on COVID-19 burden and resilience against variant strains.MethodsTeams contributed state- and national-level weekly projections of cases, hospitalizations, and deaths in the United States from September 12, 2021 to March 12, 2022. Four scenAuthorsRebecca K. Borchering, Luke C Mullany, Emily Howerton, Matteo Chinazzi, Claire P. Smith, Michelle Qin, Nicholas G. Reich, Lucie Contamin, John Levander, J. Kerr, J. Espino, Harry Hochheiser, Kaitlin Lovett, Matt Kinsey, Kate Tallaksen, Shelby Wilson, Lauren Shin, Joseph Lemaitre, Juan Dent Hulse, Joshua Kaminsky, Elizabeth C. Lee, Alison Hill, Jessica Davis, Kunpeng Mu, Xinyue Xiong, Ana Pastore y Piontti, Alessandro Vespignani, Ajitesh Srivastava, Przemyslaw Porebski, Srini Venkatramanan, Aniruddha Adiga, Bryan Lewis, Brian Klahn, Joseph Outten, Benjamin Hurt, Jiangzhuo Chen, Henning Mortveit, Amanda Wilson, Madhav Marathe, Stefan Hoops, Parantapa Bhattacharya, Dustin Machi, Shi Chen, Rajib Paul, Daniel Janies, Jean-Claude Thill, Marta Galanti, Teresa Yamana, Sen Pei, Jeffrey L. Shaman, Guido España, Sean Cavany, Sean Moore, Alex Perkins, Jessica Healy, Rachel B. Slayton, Michael A Johansson, Matthew Biggerstaff, Katriona Shea, Shaun Truelove, Michael C. Runge, Cecile Viboud, Justin LesslerHurdles to developing quantitative decision support for Endangered Species Act resource allocation
The U.S. Fish and Wildlife Service oversees the recovery of many species protected by the U.S. Endangered Species Act (ESA). Recent research suggests that a structured approach to allocating conservation resources could increase recovery outcomes for ESA listed species. Quantitative approaches to decision support can efficiently allocate limited financial resources and maximize desired outcomes. YAuthorsGwenllian D. Iacona, Stephanie Avery-Gomm, Richard F. Maloney, James Brazill-Boast, Deborah T. Crouse, C Ashton Drew, Rebecca S. Epanchin-Niell, Sarah B. Hall, Lynn A. Maguire, Tim Male, Jeff Newman, Hugh P. Possingham, Libby Rumpff, Michael C. Runge, Katherine C B Weiss, Robyn S. Wilson, Marilet A. Zablan, Leah R. GerberStructured decision making
No abstract available.AuthorsMichael C. Runge, J. Barry Grand, Michael S. MitchellVote-processing rules for combining control recommendations from multiple models
Mathematical modelling is used during disease outbreaks to compare control interventions. Using multiple models, the best method to combine model recommendations is unclear. Existing methods weight model projections, then rank control interventions using the combined projections, presuming model outputs are directly comparable. However, the way each model represents the epidemiological system willAuthorsWilliam J.M. Probert, Sam Nicol, Matthew J. Ferrari, Shou-Li Li, Katriona Shea, Michael J. Tildesley, Michael C. Runge - Web Tools
Decision-Support Tool to Estimate SARS-CoV-2 Human-to-bat Transmission Risk
This application is designed to evaluate the risk of SARS-CoV-2 transmission from humans to North American bats during winter field work and specifically surveys of winter roosts and hibernacula for white-nose syndrome.
- Software
Decision-Support Tool to Estimate SARS-CoV-2 Human-to-bat Transmission Risk
Source code to run Shiny app of North American bat SARS2 risk model during winter fieldwork - News