US Forest Service Research & Development
Contact Information
  • US Forest Service Research & Development
  • 1400 Independence Ave., SW
  • Washington, D.C. 20250-0003
  • 800-832-1355
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Research Topics

Priority Areas

  • Forest Disturbances
  • Forest Inventory and Analysis

RMRS Program Areas

Experimental Forests & Ranges

John Shaw, Biological Scientist

John D. Shaw

Biological Scientist
507 25th Street
United States

Contact John D. Shaw

Current Research

My research focuses on studies in stand dynamics that include maximum density-site relationships, growth and yield implications of mixed-species stands, and effects of stand senescence on stand structure and regeneration; partitioning forest mortality by background (e.g., density dependence, endemic insect and disease) vs. excess (e.g., drought) causes; new, biologically consistent models of tree and stand growth

Research Interests

I work to maximize the value of the Forest Inventory Analysis (FIA) program by expanding the potential range of analyses and developing useful and relevant tools from the FIA data. This research will produce tools and models that will allow more accurate assessment and modeling of stand dynamics. These will enable managers to project more realistic scenarios when considering vegetation management or the effects of anticipated disturbances.

Past Research

My background and past research has primarily been in the areas of forest management and quantitative silviculture.

Why This Research is Important

The FIA program covers all forest types on all land owverships of the U.S. Because of this comprehensive coverage, it is possible to make generalizations about the status and trends of U.S. forest land that are not possible using smaller, localized datasets. Therefore, forest issues and characteristics that are described at smaller scales can be set in the context of all U.S. forests. While FIA data are primarily designed for long-term, broad-scale analysis and reporting, they can be used for a wide variety of analysis and reporting applications. FIA data can be brought to bear on basic research questions that cannot be definitively addressed using shorter temporal or smaller geographic time scales. FIA data permit testing of study results that have been done at limited scales, resulting in better understanding of the range of inference that is appropriate for those studied. Similarly, a variety of hypotheses may also be tested, without the need to initiate stand-alone studies.


  • University of Alaska-Fairbanks, Natural Resources Management , 1991
  • University of Alaska-Fairbanks, Natural Resources Management , 1994
  • Utah State University, Forest Ecology , 2001

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Last updated on : 10/06/2015