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Concepts Within Tree Growth Modeling

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Sustainable Forest Management

Abstract

Given the change in silvicultural management from being mainly clearcut-driven to an uneven-aged mixed small-scale and/or individual tree-driven forest management system, existing yield tables will become increasingly unreliable as the main forest management tool to ensure sustainable harvesting. As a potential alternative, tree growth models have been developed to forecast the growth of each tree within a stand independent of tree age, species mixture and silvicultural management option. This allows the flexibility needed for managing uneven-aged mixed species forests. The purpose of this chapter is to introduce the conceptual differences as they are currently implemented within tree growth models.

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References

  • Assmann E, Franz F (1963) Vorläufige Fichten-Ertagstafel für Bayern. Forstw Centralbl 84:1–68

    Google Scholar 

  • Bella IE (1971) A new competition model for individual trees. For Sci 17:364–372

    Google Scholar 

  • Biber P, Herling H (2002) Modellierung der Verjüngungsdynamik als Bestandteil von einzelbaumorientierten Waldwachstumsmodellen. Tagungsbericht der Sektion Ertragskunde des DVFFA, Jahrestagung 2002, 13–15 Mai, Schwarzburg, pp 194–216

    Google Scholar 

  • Biging GS, Dobbertin M (1995) Evaluation of competition indices in individual tree growth models. For Sci 41:360–377

    Google Scholar 

  • Botkin DB, Janak JF, Wallis JR (1972) Some ecological consequences of a computer model of forest growth. J Ecol 60:849–872

    Google Scholar 

  • Bradley RT, Christie JM, Johnson DR (1966) Forest management tables. Forestry Commission Booklet no 16. Forestry Commission, London, 212 pp

    Google Scholar 

  • Burkhart HE, Farrar KD, Amateis RL, Daniels RF (1987) Simulation of individual tree growth and stand development in loblolly pine plantations on cutover, site-prepared areas. Publ FWS-1-87. Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 47 pp

    Google Scholar 

  • Degenhardt A (1998) Simulation von Baumverteilungsmustern in Mischbeständen. Beitr Forstwirtsch Landsch Ökol 32(3):130–133

    Google Scholar 

  • FBVA-Forstliche Bundesversuchsanstalt (1994) Instruktionen für die Feldarbeit der Österr Forstinventur. Forstl Bundesversuchsanstalt, Wien, 194 pp

    Google Scholar 

  • Golser M, Hasenauer H (1997) Predicting juvenile tree height growth in uneven-aged mixed species stands in Austria. For Ecol Manage 97:133–146

    Article  Google Scholar 

  • Guttenberg A (1896) Die Aufstellung von Holzmassen-und Geldertragstafeln von Stammanalysen. Österr Vierteljahresschr Forstw Wien 36:203–237, 319–345

    Google Scholar 

  • Hasenauer H (1994) Ein Einzelbaumwachstums-Simulator für ungleichaltrige Fichten-Kiefern-und Buchen-Fichtenmischbestände. Forstliche Schriftenreihe Universität für Bodenkultur Wien, 152 p

    Google Scholar 

  • Hasenauer H (1997) Dimensional relationships of open-grown trees in Austria. For Ecol Manage 96:197–206

    Article  Google Scholar 

  • Hasenauer H (2000) Die simultanen Eigenschaften von Waldwachstumsmodellen. Parey, Berlin, 131 pp

    Google Scholar 

  • Hasenauer H, Kindermann G (2002) Methods for assessing regeneration establishment and height growth in uneven-aged mixed species stands. Forestry 75:385–394

    Article  Google Scholar 

  • Hasenauer H, Monserud RA (1996) A crown model for Austrian forests. For Ecol Manage 84:49–60

    Article  Google Scholar 

  • Hasenauer H, Monserud RA (1997) Biased predictions for tree height increment models developed from smoothed “data”. Ecol Modelling 98:13–22

    Article  Google Scholar 

  • Hasenauer H, Kindermann G, Merkl D (2000) Zur Schätzung der Verjüngungssituation in Mischbeständen mit Hilfe Neuraler Netze. Forstwiss Centralbl 119:350–366

    Google Scholar 

  • Hasenauer H, Merkl D, Weingartner M (2001) Estimating tree mortality of Norway spruce with neural networks. Adv Environ Res 5:405–414

    Article  Google Scholar 

  • Kahn M, Dursky J (1999) Höhenwachstumsfunktionen für Einzelbaummodelleauf der Grundlage quasirealer Baumhöhenzuwächse. Centralbl.f.d.ges.Forstw. s 116(1/2):105–118

    Google Scholar 

  • Kahn M, Pretzsch H (1997) Das Wuchsmodell SILVA 2.1-Parametrisierung für rein-und Mischbestände aus Fichte und Buche. Allg Forst Jagdz 168(6/7):115–123

    Google Scholar 

  • Kindermann G, Hasenauer H, Gasch J (2002) Ankommen und Wachstum von Naturverjüngung in Mischbeständen. Centralbl.f.d.ges.Forstw. 119:159–186

    Google Scholar 

  • Kittenberger A (2003) Generieren von Baumverteilungsmuster. Dipl Arbeit. Universität für Bodenkultur, Wien, 79 pp

    Google Scholar 

  • Krajicek JE, Brinkman KA, Gingrich SF (1961) Crown competition: a measure of density. For Sci 7:35–42

    Google Scholar 

  • Ledermann T (2002) Ein Einwuchsmodell aus den Daten der Österreichischen Waldinventur 1981–1996. Centralbl.f.d.ges.Forstw. 119:40–77

    Google Scholar 

  • Lembcke G, Knapp E, Dittmar O (1975) DDR-Kiefern-Ertragstafel. Institut für Forstwissenschaften, Eberswalde, 82 pp

    Google Scholar 

  • Lewandowski A, von Gadow K (1997) Ein heuristischer Ansatz zur Reproduktion von Waldbeständen. Allg Forst Jagdz 168:170–174

    Google Scholar 

  • Marschall J (1975) Hilfstafeln für die Forsteinrichtung. Österr Agrarverlag, Wien, 199 pp

    Google Scholar 

  • Monserud RA (1975) Methodology for simulating Wisconsin northern hardwood stand dynamics. PhD Thesis. University of Wisconsin, Madison, 156 pp

    Google Scholar 

  • Monserud RA, Ek AR (1977) Predicting of understory tree height growth in northern hardwood stands. For Sci 23:391–400

    Google Scholar 

  • Monserud RA, Sterba H (1996) A basal area increment model for individual trees growing in even-and uneven-aged forest stands in Austria. For Ecol Manage 80:57–80

    Article  Google Scholar 

  • Monserud RA, Sterba H (1999) Modeling individual tree mortality for Austrian forest species. For Ecol Manage 113:109–123

    Article  Google Scholar 

  • Nagel J (1995) BWERT: Programm zur Bestandesbewertung und zur Prognose der Bestandesentwicklung. Deutscher Verband Forstlicher Forschungsanstalten, Sektion Ertragskunde, 29–31 Mai, Joachimsthal, pp 184–198

    Google Scholar 

  • Nagel HJ, Albert M, Schmidt M (2002) Das waldbauliche Prognose-und Entscheidungsmodell BWINPro 6.1. Forst Holz 57(15/16):486–493

    Google Scholar 

  • Neter J, Maynes SE (1970) On the appropriateness of the correlation coefficient with a 0.1 dependent variable. H Am Stat Assoc 65(350):501–509

    Google Scholar 

  • Newnham RM (1964) The development of a stand model for Douglas-fir. PhD Thesis. University of British Columbia, Vancouver, 201 pp

    Google Scholar 

  • Pacala SW, Canham CD, Saponara J, Silander JA Jr, Kobe RK, Ribbens E (1996) Forest models defined by field measurements: estimation, error analysis and dynamics. Ecol Monogr 66(1):1–43

    Google Scholar 

  • Pommerening A (2002) Approaches to quantifying forest structures. Forestry 75(3):305–324

    Article  Google Scholar 

  • Pretzsch H (1992) Konzeption und Konstruktion von Wuchsmodellen für Rein-und Mischbestände. Forstliche Forschungsberichte München, no 115. Forstwissenschaftliche Fakultät München und der Bayer. Forstlichen Versuchs-und Forschungsanstalt, München, 358 pp

    Google Scholar 

  • Pretzsch H (1993) Analyse und Reproduktion räumlicher Bestandesstrukturen. Versuche mit Strukturgenerator STRUGEN. Schriftenreihe der Forstlichen Fakultät der Universität Göttingen und der Niedersächsischen Forstlichen Versuchsanstalt, no 114, 87 pp

    Google Scholar 

  • Pretzsch H (1995) Perspektiven einer modellorientierten Waldwachstumsforschung. Forstwiss Centralbl 114:188–209

    Google Scholar 

  • Pretzsch H (2001) Modellierung des Waldwachstums. Parey, Berlin, 341 pp

    Google Scholar 

  • Pretzsch H, Biber P, Đurský J (2002) The single tree-based stand simulator SILVA: construction, application and evaluation. For Ecol Manage 162:vi

    Article  Google Scholar 

  • Pukkala T (1988) Effect of spatial distribution of trees on the volume increment of a young Scots pine stand. Silva Fenn 22(1):1–17

    Google Scholar 

  • Pukkala T (1989) Methods to describe the competition process in a tree stand. Scand J For Res 4:187–202

    Google Scholar 

  • Pukkala T, Kolström T (1992) A stochastic spatial regeneration model for Pinus silvestris. Scand J For Res 7:377–385

    Google Scholar 

  • Ribbens E, Silander JA Jr, Pacala SW (1994) Seedling recruitment in forests: calibrating models to predict patterns of tree seedling dispersion. Ecology 75(6):1794–1806

    Google Scholar 

  • Schober R (1975) Ertragstafeln wichtiger Baumarten. Sauländer, Frankfurt am Main, 154 pp

    Google Scholar 

  • Schweiger J, Sterba H (1997) A model describing natural regeneration recruitment of Norway spruce (Picea abies L.) in Austria. For Ecol Manage 97:107–118

    Article  Google Scholar 

  • Short EA III, Burkhart HE (1992) Predicting crown-height increment for thinned and unthinned loblolly pine plantations. For Sci 38:594–610

    Google Scholar 

  • Spellmann H, Wagner S, Nagl J, Guericke M, Griese F (1996) In der Tradition stehend, neue Wege beschreitend-Waldwachstums-kundliche Forschung an der Niedersächsischen Forstlichen Versuchsanstalt. Forst Holz 51(11):363–368

    Google Scholar 

  • Stage AR (1973) Prognosis model for stand development. USDA For Serv Res Pap INT-137. USDA, Washington, DC, 32 pp

    Google Scholar 

  • Sterba H (1983) Single stem models from inventory data with temporary plots. Mitt Forstl Bundesversuchsanstalt Wien 147:87–101

    Google Scholar 

  • Sterba H, Moser M, Hasenauer H, Monserud RA (1995) PROGNAUS ein abstandsunabhängiger Wachstumssimulator für ungleichaltrige Mischbestände. Deutscher Verband Forstliche. Forschungsanstalten — Sektion Ertragskunde, Eberswalde/Berlin, pp 173–183

    Google Scholar 

  • Van Deusen PC, Biging GS (1985) STAG a stand generator for mixed species stands. Version 2.0. Res Note 11. Northern California Forest Yield Cooperative, Department of Forestry and Research Management, University of California, Berkeley, 25 pp

    Google Scholar 

  • Von Gadow K, Hui GY (1999) Modelling forest development. Kluwer, Dordrecht, 213 pp

    Google Scholar 

  • Wensel LC, Koehler JR (1985) A tree growth projection system for northern California coniferous forests. Res Note 12. Northern California Forest Yield Cooperative, Department of Forestry and Research Management, University of California, Berkeley, 30 pp

    Google Scholar 

  • Wiedemann E (1949) Ertragstafeln der wichtigen Holzarten bei verschiedener Durchforstung. Schaper, Hannover, 100 pp

    Google Scholar 

  • Wildt R (1995) Operationalität eines Verjüngungsaufnahmeverfahrens. Dipl Arbeit. Universität für Bodenkkultur, Wien, 97 pp

    Google Scholar 

  • Wykoff WR (1990) A basal area increment model for individual conifers in the northern Rocky Mountains. For Sci 36:1077–1104

    Google Scholar 

  • Wykoff WR, Crookston NL, Stage AR (1982) User’s guide to the Stand Prognosis Model. US Forestry Service, Gen Tech Rep INT-133. USDA, Washington, DC, 112 pp

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Forest and Soil Sciences, Institute of Forest Growth Research, BOKU University of Natural Resources and Applied Life Sciences, Vienna, Peter-Jordan-Straße 82, 1190, Vienna, Austria

    Hubert Hasenauer

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  1. Hubert Hasenauer
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Editors and Affiliations

  1. Institute of Forest Growth Research, Department of Forest and Soil Sciences, BOKU University of Natural Resources and Applied Life Sciences, Peter Jordan Str. 82, A-1190, Vienna, Austria

    Hubert Hasenauer

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Hasenauer, H. (2006). Concepts Within Tree Growth Modeling. In: Hasenauer, H. (eds) Sustainable Forest Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31304-4_1

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