Environmental Management

, Volume 6, Issue 3, pp 185–191 | Cite as

Management knowledge through wildlife research: A perspective

  • Robert H. GilesJr.


Wildlife management is a large, complex, decisionoriented science. Information from research is needed to improve the decisions made by managers. The scope of the research needed to inform typical decisions far exceeds even the most optimistic assumptions about the available funds, time, or human resources. An argument is made that while changes within the current management structures are unlikely, continuing classical experimental research alone will not meet the timely needs of the field or of citizens dependent on wildlife resources. Continuing in such a no-win game seems to be a misallocation of time and funds. Significant changes are called for and suggestions for such changes are made: discussions with people in other broadly defined fields with a similar problem, new sampling strategies, increased use of computer models, use of geobased information systems, use of game theory, nonspecies research grouping, new funding structures, and sharing of facilities and of teams of specialists.


Waste Water Water Management Water Pollution Environmental Management Computer Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literature cited

  1. Ackoff, R. L. 1962. Scientific method: Optimizing applied research decisions. John Wiley and Sons, New York, NY. x +464 pp.Google Scholar
  2. Dingell, J. D. 1980. Animal feeds: effects of antibiotics.Science 209:1069.Google Scholar
  3. Forrester, J. W. 1969. Urban dynamics. The M.I.T. Press, Cambridge, MA. xiii + 285 pp.Google Scholar
  4. Forrester, J. W. 1971. World dynamics. Wright-Allen Press, Inc. Cambridge, MA.xiii + 143 pp.Google Scholar
  5. Giles, R. H., Jr. 1978. Wildlife management. W. H. Freeman Co., San Francisco, CA. 419 pp.Google Scholar
  6. Giles, R. H., Jr., M. C. Deaver, and T. W. Cason, Jr. 1981. A computer-based system for research project selection employing weighted objectives. Dept. of Fisheries and Wildlife Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA. 9 pp.Google Scholar
  7. Koeln, G. T., 1980. A computer-assisted general aviation airport location and evaluation system for Virginia. PhD Thesis. Virginia Polytechnic Institute and State University, Blacksburg, VA. xii + 235 pp.Google Scholar
  8. Leenhouts, W. P. 1976. Forecasting policy and human population effects on the Michigan deer resource. Unpub. M.S. Thesis, Virginia Polytechnic Institute and State University, Blacksburg, VA. ix + 153 pp.Google Scholar
  9. Luce, R. D., and H. Raiffa. 1957. Games and decisions: introduction and critical survey. John Wiley and Sons, Inc., New York, NY. 509 pp.Google Scholar
  10. Poole, R. W. 1974. An introduction to quantitative ecology. McGraw-Hill Book Co., New York, NY. xii + 532 pp.Google Scholar
  11. Saila, S. B. 1972. Systems analysis applied to some fisheries problems, Pages 331–372in B. C. Pattern (ed.), Systems analysis and simulation in ecology. Vol. 2, Academic Press, New York, NY. 592 pp.Google Scholar
  12. Swindel, B. F. 1972. The Bayesian controversy. U.S.D.A. Forest Service Res. Paper SE-95, Southeastern Forest Expt. Station, Asheville, NC. 12 pp.Google Scholar
  13. U.S.D.A. Forest Service 1980. Problem analysis: Ecological analysis techniques for national assessments of wildlife and fish. (Draft RWN-4153), Part A of Problem analysis for Problem 3: Techniques for National Assessment of Wildlife and Fish, Rocky Mountain Forest and Range Expt. Sta., Ft. Collins, CO. Sept. 30.91 pp. + appendices.Google Scholar
  14. U.S.D.A. 1978 Agricultural and food research issues and priorities: a review and assessment. U.S.D.A. Science and Education, Washington, DC. xx + 85 pp. + attachments.Google Scholar
  15. U.S. Forest Service. 1969 FAMULUS: a personal documentation system ... user's manual. U.S. Forest Service, Pacific Southwest Forest and Range Experiment Station, Berkeley, CA. 40 pp. (subsequent revisions).Google Scholar
  16. Williamson, J. F., Jr. 1981. Dynamic classificiation: conceptual develoment and applications in wildlife management. Ph.D. Thesis. Virginia Polytechnic Institute and State University, Blacksburg, VA. x + 231 pp.Google Scholar

Copyright information

© Springer-Verlag New York Inc. 1982

Authors and Affiliations

  • Robert H. GilesJr.
    • 1
  1. 1.Department of Fisheries and Wildlife SciencesVirginia Polytechnic Institute and State UniversityBlacksburg

Personalised recommendations