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International Journal of Forestry Research
Volume 2012 (2012), Article ID 961576, 8 pages
http://dx.doi.org/10.1155/2012/961576
Research Article

Assessing Forest Production Using Terrestrial Monitoring Data

Department of Forest and Soil Sciences, Institute of Silviculture, BOKU University of Natural Resources and Life Sciences, Vienna, Peter Jordan Street 82, A-1190 Vienna, Austria

Received 20 October 2011; Revised 12 December 2011; Accepted 5 January 2012

Academic Editor: Timo Pukkala

Copyright © 2012 Hubert Hasenauer and Chris S. Eastaugh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. H. K. Gibbs, S. Brown, J. O. Niles, and J. A. Foley, “Monitoring and estimating tropical forest carbon stocks: making REDD a reality,” Environmental Research Letters, vol. 2, no. 4, Article ID 045023, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. G. M. J. Mohren, “Large-scale scenario analysis in forest ecology and forest management,” Forest Policy and Economics, vol. 5, no. 2, pp. 103–110, 2003. View at Publisher · View at Google Scholar · View at Scopus
  3. C. T. Scott, “An overview of fixed versus variable-radius plots for successive inventories,” in State-of-the-Art Methodology of Forestry Inventory. A Symposium Proceedings. July 30-August 5, 1989, V. J. LaBau and T. Cunia, Eds., Syracuse, NY, USA, 1990.
  4. E. Tomppo, T. Gschwantner, M. Lawrence, and R.E. McRoberts, National Forest Inventories: Pathways for Common Reporting, Springer, Berlin, Germany, 2010.
  5. W. Bitterlich, “Die Winkelzählprobe,” Allgemeine Forst- und Holzwirtschaftliche Zeitung, vol. 59, no. 1-2, pp. 4–5, 1948.
  6. C.S. Eastaugh and H. Hasenauer, “Biases in volume increment estimates derived from successive angle count sampling,” Forest Science. In press. View at Publisher · View at Google Scholar
  7. L. R. Grosenbaugh, “Point-sampling and line-sampling: probability theory, geometric implications, synthesis,” USDA Forest Service South Forest Experimental Station Occasional Paper 160, pp. 34 , 1958.
  8. F. A. Roesch, E. J. Green, and C. T. Scott, “New compatible basal area and number of tree estimators from remeasured horizontal point samples,” Forest Science, vol. 35, pp. 281–293, 1989.
  9. C. E. Thomas and F. A. Roesch, “Basal area growth estimators for survivor component: a quality control application,” Southern Journal of Applied Forestry, vol. 14, no. 1, pp. 12–18, 1990. View at Scopus
  10. H. Sterba, “20 Years target diameter thinning in the “Hirscblacke”, forest of the monastery of Schägl,” Allgemeine Forst- und Jagdzeitung, vol. 170, no. 9, pp. 170–175, 1999. View at Scopus
  11. H. Sterba and A. Zingg, “Target diameter harvesting—a strategy to convert even-aged forests,” Forest Ecology and Management, vol. 151, no. 1–3, pp. 95–105, 2001. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Pollanschütz, “Formzahlfunktionen der Hauptbaumarten Österreichs,” Allgemeine Forstzeitung, vol. 85, pp. 341–343, 1974.
  13. P. Brassel and H. Lischke, Swiss National Forest Inventory: Methods and Models of the Second Assessment, WSL Swiss Federal Research Institute, Birmansdorf, Switzerland, 2001.
  14. K. Gabler and K. Schadauer, Methoden der Österreichischen Waldinventur 2000/02, vol. 135 of BFW Berichte, Bundesforschungs- und Ausbildungszentrum für Wald, Naturgefahren und Landschaft, Vienna, Austria, 2006.
  15. G. L. Martin, “A method for estimating ingrowth on permanent horizontal sample points,” Forest Science, vol. 28, no. 1, pp. 110–114, 1982. View at Scopus
  16. J. Hradetzky, “Concerning the precision of growth estimation using permanent horizontal point samples,” Forest Ecology and Management, vol. 71, no. 3, pp. 203–210, 1995. View at Scopus
  17. J. H. Zar, Biostatistical Analysis, Prentice Hall, Englewood Cliffs, NJ, USA, 1999.
  18. R Development Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, 2011.
  19. M. J. Ducey, J. H. Gove, and H. T. Valentine, “A walkthrough solution to the boundary overlap problem,” Forest Science, vol. 50, no. 4, pp. 427–435, 2004. View at Scopus
  20. S. T. Ziliak and D. N. McCloskey, The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice and Lives, University of Michigan Press, Ann Arbor, Mich, USA, 2008.
  21. J. Cohen, “The earth is round (P<0.05 ),” American Psychologist, vol. 49, no. 12, pp. 997–1003, 1994. View at Scopus
  22. F. A. Roesch, E. J. Green, and C. T. Scott, “A test of alternative estimators for volume at time 1 from remeasured point samples,” Canadian Journal of Forest Research, vol. 23, pp. 598–604, 1993.
  23. J. Heikkinen and H. Henttonen, “Re-measured relascope plots in the assessment of inventory update methods,” in Nordic Trends in Forest Inventory, Management Planning and Modelling. Proceedings of SNS meeting in Solvalla, Finland. April 17–19, 2001, J. Heikkinen, K. T. Korhonen, M. Siitonen, M. Strandström , and E. Tomppo, Eds., Finnish Forest Research Institute, 2001, Research Papers 860.
  24. R. Päivinen and P. Anttila, “How reliable is a satellite forest inventory?” Silva Fenica, vol. 35, no. 1, pp. 125–127, 1998.
  25. R. Petritsch, C. Boisvenue, S. W. Running, and H. Hasenauer, “Assessing forest productivity: satellite versus terrestrial data-driven estimates in Austria,” in Forest Growth and Timber Quality: Crown Models and Simulation Methods for Sustainable Forest Management Proceedings of an International Conference, Portland, OR, USA, August 7–10, 2007, Dennis P. Dykstra and Robert A. Monserud, Eds., pp. 211–216, United States Department of Agriculture Forest Service Pacific Northwest Research Station, 2009, General Technical Report PNW-GTR-791.
  26. R. A. Houghton, D. Butman, A. G. Bunn, O. N. Krankina, P. Schlesinger, and T. A. Stone, “Mapping Russian forest biomass with data from satellites and forest inventories,” Environmental Research Letters, vol. 2, no. 4, Article ID 045032, 2007. View at Publisher · View at Google Scholar · View at Scopus