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Anne Black

Anne E. Black

Social Science Advisor

800 East Beckwith Avenue
Missoula, MT 59801
Contact Anne Black


  • University of Montana, B.S., Resource Conservation, 1984
  • Yale University, M.S., Forestry and Environmental Studies, 1992
  • University of Idaho, Ph.D., Natural Resources, 1998
  • Professional Experience

    Program Manager (acting), Human Performance Research, Development and Applications
    2014 to present

    The new Human Performance RD&A was chartered in summer 2014 to: explore the state-of-knowledge and practice in the broad field of human performance (including: psychology, individual and organizational resilience, learning, and risk). build situated knowledge of Forest Service work environments and employees, and design and test interventions and delivery mechanisms to improve employee and organizational resilience (health, wellbeing, performance, safety). The unit will serve as a central node leveraging internal and external expertise to drive adaptive performance and resilient operations in the Forest Service and beyond. Outcomes will be a more resilient and higher performing Agency. There will be fewer significant accidents/errors, more effective incorporation of insights and lessons into work routines, and improved morale and work environment. Employees will be more resilient to both day-to-day and traumatic events. Teams and local units will similarly have better tools and capacity to weather, rebound and learn from expected and unexpected stresses.
    Social Science Analyst, Human Factors & Risk Management Research, Development and Application Unit
    2010 to present

    Research Social Scientist (post-doc), Aldo Leopold Wilderness Research Institute
    2006 to 2010

    Post-doctoral Ecologist, Aldo Leopold Wilderness Research Institute
    2002 to 2006


    Jahn, Jody; Putnam, Linda L.; Black, Anne, 2012. The communicative construction of safety in wildland firefighting
    Black, Anne; Thomas, Dave; Ziegler, Jennifer; Saveland, Jim, 2012. Tips, techniques and suggestions for improving learning from escaped prescribed fire reviews
    Black, Anne; Saveland, James; Thomas, Dave; Ziegler, Jennifer, 2012. Using escaped prescribed fire reviews to improve organizational learning
    Black, Anne; Saveland, James; Thomas, Dave, 2011. Dialogue on safety
    Black, Anne; Thomas, Dave; Saveland, James; Ziegler, Jennifer D., 2011. Learning from escaped prescribed fire reviews
    Black, Anne; Thomas, Dave; Saveland, James, 2011. Learning from escaped prescribed fire reviews [Abstract]
    Black, Anne; Gebert, Krista; McCaffrey, Sarah; Steelman, Toddi; Canton-Thompson, Janie, 2009. A multi-disciplinary approach to fire management strategy, suppression costs, community interaction, and organizational performance
    Black, Anne; Sutcliffe, Kathleen; Barton, Michelle; Dether, Deirdre, 2008. Assessing high reliability practices in the wildland fire community
    Christenson, David A.; DeGrosky, Mike; Black, Anne; Fay, Brett, 2008. High reliability organizing implementation at Sequoia and Kings Canyon National Parks
    Black, Anne; Williamson, Martha; Doane, Dustin, 2008. Wildland fire use barriers and facilitators
    Falk, Donald A.; Miller, Carol L.; McKenzie, Donald; Black, Anne, 2007. Cross-scale analysis of fire regimes
    Thomas, Dave; Black, Anne; Dether, Deirdre; Hetts, Katherine; Dueitt, Mike, 2007. The Jungle Prescribed Fire review: An experiment in learning
    Black, Anne; Opperman, T., 2005. Fire Effects Planning Framework: A user's guide
    Recognizing the need to enhance learning from escaped prescribed fires, the Rocky Mountain Research Station analyzed current review processes through a series of five regional, interagency dialogue sessions. These two-day workshops were held in Portland, Denver, Salt Lake City, Tucson, and Tallahassee between January and July 2011.
    Integrating Forests, Fish, and Fire (IF3) is a Bayesian decision-support model that uses information on forest vegetation, human alterations to habitat, and the potential for fire to predict the post-fire persistence of stream fish populations. The model's purpose is to evaluate alternative vectors for maximizing resilience to future fire activity in forest stands that support such sensitive stream fish as bull trout.