Michael Runge, Ph.D.
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
Managing harvest and habitat as integrated components
Structured decision making
A matter of tradeoffs: reintroduction as a multiple objective decision
Active adaptive management for reintroduction of an animal population
White-nose syndrome is likely to extirpate the endangered Indiana bat over large parts of its range
Recent advances in applying decision science to managing national forests
A modeling framework for integrated harvest and habitat management of North American waterfowl: Case-study of northern pintail metapopulation dynamics
Evaluating release alternatives for a long-lived bird species under uncertainty about long-term demographic rates
An adaptive decision framework for the conservation of a threatened plant
Adaptive management of bull trout populations in the Lemhi Basin
Optimal timing for managed relocation of species faced with climate change
Incorporating parametric uncertainty into population viability analysis models
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Managing harvest and habitat as integrated components
In 2007, several important initiatives in the North American waterfowl management community called for an integrated approach to habitat and harvest management. The essence of the call for integration is that harvest and habitat management affect the same resources, yet exist as separate endeavours with very different regulatory contexts. A common modelling framework could help these management stAuthorsErik E. Osnas, Michael C. Runge, Brady J. Mattsson, Jane E. Austin, G. S. Boomer, R. G. Clark, P. Devers, J. M. Eadie, E. V. Lonsdorf, Brian G. TaverniaStructured decision making
Wildlife management is a decision-focused discipline. It needs to integrate traditional wildlife science and social science to identify actions that are most likely to achieve the array of desires society has surrounding wildlife populations. Decision science, a vast field with roots in economics, operations research, and psychology, offers a rich set of tools to help wildlife managers frame, decoAuthorsMichael C. Runge, J. Barry Grand, Michael S. MitchellA matter of tradeoffs: reintroduction as a multiple objective decision
Decision making in guidance of reintroduction efforts is made challenging by the substantial scientific uncertainty typically involved. However, a less recognized challenge is that the management objectives are often numerous and complex. Decision makers managing reintroduction efforts are often concerned with more than just how to maximize the probability of reintroduction success from a populatiAuthorsSarah J. Converse, Clinton T. Moore, Martin J. Folk, Michael C. RungeActive adaptive management for reintroduction of an animal population
Captive animals are frequently reintroduced to the wild in the face of uncertainty, but that uncertainty can often be reduced over the course of the reintroduction effort, providing the opportunity for adaptive management. One common uncertainty in reintroductions is the short-term survival rate of released adults (a release cost), an important factor because it can affect whether releasing adultsAuthorsMichael C. RungeWhite-nose syndrome is likely to extirpate the endangered Indiana bat over large parts of its range
White-nose syndrome, a novel fungal pathogen spreading quickly through cave-hibernating bat species in east and central North America, is responsible for killing millions of bats. We developed a stochastic, stage-based population model to forecast the population dynamics of the endangered Indiana bat (Myotis sodalis) subject to white-nose syndrome. Our population model explicitly incorporated enviAuthorsWayne E. Thogmartin, Carol A. Sanders-Reed, Jennifer A. Szymanski, Patrick C. McKann, Lori Pruitt, R. Andrew King, Michael C. Runge, Robin E. RussellRecent advances in applying decision science to managing national forests
Management of federal public forests to meet sustainability goals and multiple use regulations is an immense challenge. To succeed, we suggest use of formal decision science procedures and tools in the context of structured decision making (SDM). SDM entails four stages: problem structuring (framing the problem and defining objectives and evaluation criteria), problem analysis (defining alternativAuthorsBruce G. Marcot, Matthew P. Thompson, Michael C. Runge, Frank R. Thompson, Steven McNulty, David Cleaves, Monica Tomosy, Larry A. Fisher, Bliss AndrewA modeling framework for integrated harvest and habitat management of North American waterfowl: Case-study of northern pintail metapopulation dynamics
We developed and evaluated the performance of a metapopulation model enabling managers to examine, for the first time, the consequences of alternative management strategies involving habitat conditions and hunting on both harvest opportunity and carrying capacity (i.e., equilibrium population size in the absence of harvest) for migratory waterfowl at a continental scale. Our focus is on the northeAuthorsBrady J. Mattsson, Michael C. Runge, J.H. Devries, G.S. Boomer, J.M. Eadie, D.A. Haukos, J. P. Fleskes, D. N. Koons, Wayne E. Thogmartin, R. G. ClarkEvaluating release alternatives for a long-lived bird species under uncertainty about long-term demographic rates
The release of animals to reestablish an extirpated population is a decision problem that is often attended by considerable uncertainty about the probability of success. Annual releases of captive-reared juvenile Whooping Cranes (Grus americana) were begun in 1993 in central Florida, USA, to establish a breeding, non-migratory population. Over a 12-year period, 286 birds were released, but by 2004AuthorsClinton T. Moore, Sarah J. Converse, Martin J. Folk, Michael C. Runge, Stephen A. NesbittAn adaptive decision framework for the conservation of a threatened plant
Mead's milkweed Asclepias meadii, a long-lived perennial herb of tallgrass prairie and glade communities of the central United States, is a species designated as threatened under the U.S. Endangered Species Act. Challenges to its successful management include the facts that much about its life history is unknown, its age at reproductive maturity is very advanced, certain life stages are practicallAuthorsClinton T. Moore, Christopher J. Fonnesbeck, Katriona Shea, Kristopher J. Lah, Paul M. McKenzie, Lianne C. Ball, Michael C. Runge, Helen M. AlexanderAdaptive management of bull trout populations in the Lemhi Basin
The bull trout Salvelinus confluentus, a stream-living salmonid distributed in drainages of the northwestern United States, is listed as threatened under the Endangered Species Act because of rangewide declines. One proposed recovery action is the reconnection of tributaries in the Lemhi Basin. Past water use policies in this core area disconnected headwater spawning sites from downstream habitatAuthorsAndrew J. Tyre, James Peterson, Sarah J. Converse, Tiffany L. Bogich, Damien Miller, Max Post van der Burg, Carmen Thomas, Ralph J. Thompson, Jeri Wood, Donna Brewer, Michael C. RungeOptimal timing for managed relocation of species faced with climate change
Managed relocation is a controversial climate-adaptation strategy to combat negative climate change impacts on biodiversity. While the scientific community debates the merits of managed relocation1,2,3,4,5,6,7,8,9,10,11,12, species are already being moved to new areas predicted to be more suitable under climate change13,14. To inform these moves, we construct a quantitative decision framework to eAuthorsEve McDonald Madden, Michael C. Runge, Hugh P. Possingham, Tara G. MartinIncorporating parametric uncertainty into population viability analysis models
Uncertainty in parameter estimates from sampling variation or expert judgment can introduce substantial uncertainty into ecological predictions based on those estimates. However, in standard population viability analyses, one of the most widely used tools for managing plant, fish and wildlife populations, parametric uncertainty is often ignored in or discarded from model projections. We present aAuthorsConor P. McGowan, Michael C. Runge, Michael A. Larson - Web Tools
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