USDA Forest Service
 

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Natural Resource Assessment and Analysis
Natural Resources Research Center
2150-A Centre Avenue
Fort Collins, CO 80526-2098
TDD: 970-295-5021
Fax: 970-295-5959

United States Department of Agriculture Forest Service.

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Staff/Personnel

Raymond Czaplewski, Ph.D.
Mathematical Statistician

[Photograph]: Raymond Czaplewski

rczaplewski@fs.fed.us
(970) 295-5973 -- Fax: (970) 295-5959

Research Interests

Statistical design and analysis with complex sample surveys for strategic inventory and monitoring of natural resources and the environment.

Statistical methods to combine complex sample surveys with ancillary estimates from models, remote sensing, and other surveys to provide annual time series of current estimates and future forecasts.

Statistical methods to assess the quality of resource maps and GIS models that influence policy decisions in land and resource management

Statistical design and analysis of feasible systems to monitor global resource conditions with remote sensing, national statistics, and process models.

Statistical methods to test hypotheses related to structure and change in spatial response surfaces

Educational Background

Ph.D., Quantitative Ecology, International Biological Program Grasslands Biome, Department of Rangeland Ecosystem Science, Colorado State University, 1986.

M.S., Systems Ecology, Department of Zoology and Physiology, University of Wyoming, 1972.

B.A., Department of Biology, Northwestern University, Evanston IL, 1970.

St. Patrick High School, 1966

Professional Background

Strategic planner, program planning and budgeting, Wyoming Game and Fish Department, Cheyenne WY, 1976-1979

Strategic planner, NFMA Forest Planning, Bighorn National Forest, Sheridan WY, 1979-1982.

Mathematical Statistician, Rocky Mountain Research Station, 1982-1996

Project Leader and Mathematical Statistician, Rocky Mountain Research Station, 1996-present

Field Artillery, U.S. Army, 1972-1974

Five Most Significant Publications

Czaplewski, R.L., R.M. Reich, W.A. Bechtold. 1994. Spatial autocorrelation in growth of undisturbed natural pine stands across Georgia. Forest Science 40:314-328.

Czaplewski, R.L. and G.P. Catts. 1992. Calibration of remotely sensed proportion or areal estimates for misclassification error. Remote Sensing of Environment 39:29-43.

Czaplewski, R.L., 1988. Conditioning a segmented stem profile model for two diameter measurements. Forest Science 34:512-522.

Schreuder, Hans T and Raymond L. Czaplewski. 1993. Long-term strategy for the statistical design of a forest health monitoring system. Environmental Monitoring and Assessment 27:81-94.

Food and Agricultural Organization of the United Nations. 1996. Forest Resources Assessment 1990: Survey of Tropical Forest Cover and Study of Change Processes. Rome, Italy. 154pp.

70 publications, of which, 16 are in scientific journals, co-author of chapters in 2 books, additional 52 publications in national and international symposia.

Most Significant Technology Transfer Activities

Team leader for development of national policy for quality assurance of environmental monitoring for the Forest Inventory and Analysis Program

Statistical sample survey methods and analysis software to access quality of resource maps and GIS models used in strategic planning by the National Forest System

Member of interagency team to design environmental monitoring systems to implement the President's Northwest Forest Plan in the range of the northern spotted owl

Statistical applications and use of remotely sensed data with the Forest Health Monitoring Program and the EPA Environmental Monitoring and Assessment Program

Design of global forest monitoring system for the Food and Agricultural Organization of the United Nations

Member of Editorial Board, international forestry scientific journal Acta Forestalia Fennica, Finnish Forest Research Institute and monograph series Silva Fennica, Society of Forestry in Finland, Helsinki, Finland, 1994-99

Co-chairperson for the Second International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 1996.

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Last Modified: 17-Feb-2005

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