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Northern Research Station
11 Campus Blvd., Suite 200
Newtown Square, PA 19073
(610) 557-4017
(610) 557-4132 TTY/TDD

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Scientists & Staff

[image:] Mark D. Nelson Mark D. Nelson

Title: Research Forester
Unit: Forest Inventory & Analysis
Previous Unit: Forest Inventory & Analysis
Address: Northern Research Station
1992 Folwell Ave
St. Paul, MN 55108
Phone: 651-649-5104
E-mail: Contact Mark D. Nelson

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Education

  • University of Minnesota, Ph.D. Natural Resources Science and Management, 2005
  • University of Minnesota, M.S. Wildlife Conservation, 1992
  • Winona State University, B.A., Biology, 1982

Civic & Professional Affiliations

Memberships:

  • The Wildlife Society
  • American Society for Photogrammetry and Remote Sensing

Journal referee:

  • Remote Sensing of Environment
  • International Journal of Remote Sensing
  • Landscape Ecology
  • Forest Science

Current Research

I conduct research to support the Forest Inventory and Analysis (FIA) program. FIA is responsible for the inventory of United States forest land across all ownership categories. Within the Northern Research Station, FIA conducts inventories for 24 states of the Northeast, Midwest, and Upper Great Plains. I develop and assess geospatial approaches for making FIA estimates more precise, more efficient, more spatially explicit, and more relevant to a wider range of natural resources. My current research involves the use of forest inventory data, geospatial data, and satellite imagery for assessing and mapping forest cover/use, type, biomass, disturbance, and wildlife habitat. I serve as the lead analyst for Iowa's FIA reports.

Why is This Important

People increasingly are asking not only what forest resources are present, but where are they located and how are they arranged within the forest landscape. By integrating field inventory data with satellite remote sensing imagery and other geospatial datasets, we can improve our understanding of the spatial distribution and variability of forest resources. Geospatial information derived from this data integration provides for improved assessments of wildlife habitat for species that are dependent upon both vegetation structure and spatial pattern of forest patches.

Future Research

  1. Improving our spatial understanding of forest resources.
  2. Assessing forest wildlife habitat.
  3. Mapping and analyzing forest disturbance.

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Last Modified: 11/19/2008